2 The State of the Art in Fem Analysis Technology of the Machining Process
Skip Nav Destination
Research-Commodity
State of the Fine art Review on Process, Organization, and Operations Command in Modernistic Manufacturing
Laine Mears,
Department of Automotive Engineering,
Clemson University,
Greenville, SC 29607
electronic mail: mears@clemson.edu
Search for other works by this author on:
Asad Ul Haq,
Department of Mechanical Applied science,
University of Texas,
Austin, TX 78712
e-mail: asadulhaq@utexas.edu
Search for other works by this author on:
Lin Li
Search for other works by this writer on:
Dragan Djurdjanovic
Department of Mechanical Technology,
University of Texas,
Austin, TX 78712
due east-mail: dragand@utexas.edu
Laine Mears
Section of Automotive Technology,
Clemson University,
Greenville, SC 29607
e-mail: mears@clemson.edu
Farbod Akhavan Niaki
Department of Automotive Engineering,
Clemson University,
Greenville, SC 29607
e-postal service: fakhava@g.clemson.edu
Asad Ul Haq
Department of Mechanical Engineering,
University of Texas,
Austin, TX 78712
e-mail: asadulhaq@utexas.edu
Manuscript received July 19, 2017; final manuscript received August 15, 2017; published online March xxx, 2018. Editor: Y. Lawrence Yao.
J. Manuf. Sci. Eng. Jun 2018, 140(6): 061010 (xviii pages)
Published Online: March 30, 2018
Dramatic advancements and adoption of calculating capabilities, communication technologies, and advanced, pervasive sensing have impacted every aspect of modern manufacturing. Furthermore, every bit society explores the 4th Industrial Revolution characterized past access to and leveraging of cognition in the manufacturing enterprise, the very character of manufacturing is rapidly evolving, with new, more than complex processes, and radically, new products appearing in both the industries and academe. Equally for traditional manufacturing processes, they are also undergoing transformations in the sense that they face ever-increasing requirements in terms of quality, reliability, and productivity, needs that are existence addressed in the cognition domain. Finally, across all manufacturing we see the need to understand and control interactions between various stages of whatsoever given procedure, as well as interactions between multiple products produced in a manufacturing arrangement. All these factors have motivated tremendous advancements in methodologies and applications of command theory in all aspects of manufacturing: at process and equipment level, manufacturing systems level, and operations level. Motivated by these factors, the purpose of this paper is to requite a loftier-level overview of latest progress in process and operations control in mod manufacturing. Such a review of relevant work at various scales of manufacturing is aimed not only to offer interested readers data about state-of-the art in control methods and applications in manufacturing, just besides to give researchers and practitioners a vision nearly where the direction of future research may be, especially in calorie-free of opportunities that lay equally 1 concurrently looks at the process, system and operation levels of manufacturing.
References
ane.
Roth J. T. Djurdjanovic D. Yang 10. Mears 50. Kurfess T.
2010
, "
Quality and Inspection of Machining Operations: Tool Condition Monitoring
,"
ASME J. Manuf. Sci. Eng.
,
132
(
4
), p.
041015
.
2.
Koren Y.
1988
, "
Adaptive Control Systems for Machining
,"
American Control Conference
(
ACC
), Atlanta, GA, June 15–17, pp.
1161
–
1167
.
3.
Landers R. G. Ulsoy A. G. Ma Y.
2004
, "
A Comparison of Model-Based Machining Forcefulness Control Approaches
,"
Int. J. Mach. Tools Manuf.
,
44
(
7
), pp.
733
–
748
.
four.
Landers R. G. Ulsoy A. K.
2000
, "
Model-Based Machining Forcefulness Control
,"
ASME J. Dyn. Syst. Meas. Control
,
122
(
3
), pp.
521
–
527
.
v.
Shawky A. Elbestawi G.
1998
, "
Model-Based Predictive Control of Workpiece Accuracy in bar Turning
,"
ASME J. Manuf. Sci. Eng.
,
120
(
one
), pp.
57
–
67
.
6.
Denkena B. Flƶter F.
2012
, "
Adaptive Cutting Force Control on a Milling Machine With Hybrid Axis Configuration
,"
Procedia CIRP
,
4
, pp.
109
–
114
.
7.
Toutant R. Balakrishnan South. Onyshka Southward. Popplewell North.
1993
, "
Feedrate Compensation for Constant Cut Force Turning
,"
IEEE Control Syst.
,
13
(
6
), pp.
44
–
47
.
8.
Landers R. Ulsoy A. G. Furness R.
2002
, "
Procedure Monitoring and Command of Machining Operations
,"
The Mechanical Systems Design Handbook
, O. Nwokah Y. Hurmuzlu
CRC Printing
,
Boca Raton, FL
, pp.
85
–
104
.
xiii.
Bort C. Chiliad. G. Leonesio Thousand. Bosetti P.
2016
, "
A Model-Based Adaptive Controller for Chatter Mitigation and Productivity Enhancement in CNC Milling Machines
,"
Rob. Comput. Integr. Manuf.
,
twoscore
(
C
), pp.
34
–
43
.
14.
Jamaludin Z. Jamaludin J. Chiew T. Abdullah L. Rafan N. Maharof Yard.
2016
, "
Sustainable Cutting Procedure for Milling Operation Using Disturbance Observer
,"
Procedia CIRP
,
forty
, pp.
486
–
491
.
xv.
Liu X. Ding Y. Yue C. Zhang R. Tong X.
2016
, "
Off-Line Feedrate Optimization With Multiple Constraints for Corner Milling of a Cavity
,"
Int. J. Adv. Manuf. Technol.
,
82
(
9–12
), pp.
1899
–
1907
.
16.
Behera B. C. Chetan South. K. Rao P. Five.
2014
, "
Effects on Forces and Surface Roughness During Machining Inconel 718 Alloy Using Minimum Quantity Lubrication
,"
Fifth International and 26th All India Manufacturing Technology, Design and Inquiry Conference
(AIMTDR), Assam, Bharat, Dec. 12–14, Newspaper No.
116
.
17.
Lim Y. Venugopal R. Ulsoy A. G.
2014
, "
Automobile-Tuning and Adaptive Command
,"
Process Control for Sheet-Metal Stamping
, Y. Lim R. Venugopal A. G. Ulsoy
Springer
, London, pp.
87
–
107.
18.
Pin G. Francesconi V. Cuzzola F. Parisini T.
2013
, "
Adaptive Task-Space Metallic Strip-Flatness Control in Cold Multi-Roll Mill Stands
,"
J. Procedure Control
,
23
(
ii
), pp.
108
–
119
.
19.
Tommerup Southward. Endelt B.
2012
, "
Experimental Verification of a Deep Drawing Tool System for Adaptive Blank Holder Pressure Distribution
,"
J. Mater. Process. Technol.
,
212
(
11
), pp.
2529
–
2540
.
twenty.
Davis T. A. Shin Y. C. Yao B.
2011
, "
Observer-Based Adaptive Robust Control of Friction Stir Welding Axial Force
,"
IEEE/ASME Trans. Mechatronics
,
16
(
6
), pp.
1032
–
1039
.
21.
Gibson B. Cook G. Prater T. Longhurst W. Strauss A. Cox C.
2011
, "
Adaptive Torque Control of Friction Stir Welding for the Purpose of Estimating Tool Wear
,"
Proc. Inst. Mech. Eng. Role B
,
225
(8), pp.
1293
–
1303
.
22.
Boddu M. R. Landers R. 1000. Liou F. W.
2001
, "
Control of Laser Cladding for Rapid Prototyping—A Review
," Solid Freeform Fabrication Symposium (
SFF
), Austin, TX, Aug. 6–8, pp.
460
–
467
.
23.
Liu Due west. Tang Z. Liu Ten. Wang H. Zhang H.
2017
, "
A Review on In-Situ Monitoring and Adaptive Control Technology for Laser Cladding Remanufacturing
,"
24th CIRP Conference on Life Bicycle Engineering
, Kamakura, Nippon, Mar. 8–ten, pp.
235
–
240
.
24.
Williamson R. Fifty. Beaman J. J.
2012
, "
Mod Control Theory Practical to Remelting of Superalloys
,"
Seventh International Conference on Processing and Manufacturing of Advanced Materials
, Quebec City, QC, Canada, Aug. ane–v, pp.
2484
–
2489.
25.
Garg A. Tai K. Savalani K. M.
2014
, "
State-of-the-Art in Empirical Modelling of Rapid Prototyping Processes
,"
Rapid Prototyping J.
,
20
(
2
), pp.
164
–
178
.
26.
Tapia Chiliad. Elwany A.
2014
, "
A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing
,"
ASME J. Manuf. Sci. Eng.
,
136
(
6
), pp.
1
–
10
.
27.
Jeng J. Peng S. Chou C.
2000
, "
Metal Rapid Image Fabrication Using Selective Laser Cladding Engineering
,"
Int. J. Adv. Manuf. Technol.
,
xvi
(
9
), pp.
681
–
687
.
28.
Amine T. Newkirk J. W. Liou F.
2014
, "
An Investigation of the Effect of Direct Metal Deposition Parameters on the Characteristics of the Deposited Layers
,"
Instance Stud. Therm. Eng.
,
iii
, pp.
21
–
34
.
29.
Zhao Ten. Landers R. Leu One thousand.
2010
, "
Adaptive Extrusion Force Control of Freeze-Form Extrusion Fabrication Processes
,"
ASME J. Manuf. Sci. Eng.
,
132
(
6
), p.
064504
.
xxx.
Boddu M. R. Musti S. Landers R. G. Agarwal S. Liou F. W.
2001
, "
Empirical Modeling and Vision Based Command for Laser Aided Metal Deposition Procedure
,"
Solid Freeform Fabrication Symposium
(
SFF
), Austin, TX, Aug. vi–8, pp.
452
–
459
.
31.
Kruth J.-P. Duflou J. Mercelis P. Van Vaerenbergh J. Craeghs T. Keuster J. D.
2007
, "
On-Line Monitoring and Process Command in Selective Laser Melting and Laser Cutting
,"
Fifth Lane Conference, Laser Assisted Internet Shape Engineering
, Erlangen, Germany, Sept. 25–28, pp.
23
–
37
.
32.
Xiong J. Zhang G.
2014
, "
Adaptive Control of Deposited Height in GMAW-Based Layer Additive Manufacturing
,"
J. Mater. Process. Technol.
,
214
(
4
), pp.
962
–
968
.
33.
Ohnishi K.
1987
, "
A New Servo Method in Mechatronics
,"
Trans. Jpn. Soc. Electr. Eng.
,
107
(
D
), pp.
83
–
86
.
34.
Huang W. Liu C. Hsu P. Yeh S.
2010
, "
Precision Control and Compensation of Servomotors and Car Tools Via the Disturbance Observer
,"
IEEE Trans. Ind. Electron.
,
57
(
1
), pp.
420
–
429
.
35.
Yeh S. Su H.
2011
, "
Development of Friction Identification Methods for Feed Drives of CNC Machine Tools
,"
Int. J. Adv. Manuf. Technol.
,
52
(
1–4
), pp.
263
–
278
.
36.
Li P. Zhu K. Gong South. Huang Y. Yue L.
2016
, "
Synchronization Command of Dual-Drive Organisation in Gantry-Type Motorcar Tools Based on Disturbance Observer
," 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (
MESA
), Auckland, New Zealand, Aug. 29–31, pp.
1
–
7
.
37.
Chen C. Cheng M.
2012
, "
Adaptive Disturbance Compensation and Load Torque Estimation for Speed Control of a Servomechanism
,"
Int. J. Mach. Tools Manuf.
,
59
, pp.
6
–
15
.
38.
Corapsiz Chiliad. F. Erenturk K.
2016
, "
Trajectory Tracking Command and Contouring Performance of Three-Dimensional CNC
,"
IEEE Trans. Ind. Electron.
,
63
(
4
), pp.
2212
–
2220
.
39.
Bui B. D. Uchiyama N.
2016
, "
Sliding Mode Contouring Controller Design With Adaptive Friction Compensation for Three-Centrality Car Tools
," American Control Briefing (
ACC
), Boston, MA, July half dozen–8, pp.
2217
–
2222
.
twoscore.
Uchiyama N. Sano Due south.
2013
, "
Sliding Mode Contouring Command Design Using Nonlinear Sliding Surface for Three-Dimensional Machining
,"
Int. J. Mach. Tools Manuf.
,
65
, pp.
viii
–
14
.
41.
Sencer B. Shamoto East.
2014
, "
Effective Torque Ripple Compensation in Feed Drive Systems Based on the Adaptive Sliding-Mode Controller
,"
IEEE/ASME Trans. Mechatronics
,
nineteen
(
vi
), pp.
1764
–
1772
.
42.
Li 10. Zhao H. Zhao X. Ding H.
2016
, "
Dual Sliding Mode Contouring Control With Loftier Accuracy Contour Error Interpretation for Five-Axis CNC Machine Tools
,"
Int. J. Mach. Tools Manuf.
,
108
, pp.
74
–
82
.
43.
Xi X. Zhao W. Poo A.
2015
, "
Improving CNC Contouring Accuracy by Robust Digital Integral Sliding Fashion Control
,"
Int. J. Mach. Tools Manuf.
,
88
, pp.
51
–
61
.
44.
Zhou P. Dai West. Chai T.
2014
, "
Multivariable Disturbance Observer Based Advanced Feedback Control Design and Its Application to a Grinding Excursion
,"
IEEE Trans. Control Syst. Technol.
,
22
(
four
), pp.
1474
–
1485
.
45.
Yang J. Li A. Chen X. Li Q.
2010
, "
Disturbance Rejection of Brawl Manufacturing plant Grinding Circuits Using DOB and MPC
,"
Powder Technol.
,
198
(
2
), pp.
219
–
228
.
46.
Dewantoro G.
2013
, "
Fuzzy Sliding Way Command for Enhancing Injection Velocity Functioning in Injection Molding Machine
,"
Int. J. Artif. Intell.
,
10
(
S13
), pp.
75
–
87
.
47.
Vocal L. Mazumder J.
2011
, "
Feedback Command of Cook Pool Temperature During Laser Cladding Procedure
,"
IEEE Trans. Control Syst. Technol.
,
19
(
half dozen
), pp.
1349
–
1356
.
48.
Vocal L. Bagavath-Singh 5. Dutta B. Mazumder J.
2012
, "
Command of Melt Pool Temperature and Deposition Height During Directly Metallic Deposition Process
,"
Int. J. Adv. Manuf. Technol.
,
58
(
1–four
), pp.
247
–
256
.
49.
Wang Z. Li J. Wang J. Zhang F. Zhao L.
2013
, "
Agile Disturbance Rejection Control for Electro-Hydraulic Servo Arrangement of Aluminum Strip Cold Rolling Mill
,"
32
nd
IEEE Chinese Control Conference
(
CCC
), Xi'an, China, July 26–28, pp. 974–979.
50.
Zheng Q. Gao Z.
2012
, "
An Energy Saving, Factory-Validated Disturbance Decoupling Control Design for Extrusion Processes
,"
Ten
th
IEEE World Congress on Intelligent Control and Automation
(
WCICA
), Beijing, Prc, July half-dozen–8, pp. 2891–2896.
51.
Fathi A. Khajepour A. Durali Thousand. Toyserkani Due east.
2008
, "
Geometry Control of the Deposited Layer in a Nonplanar Laser Cladding Process Using a Variable Control Structure
,"
ASME J. Manuf. Sci. Eng.
,
130
(
3
), pp.
1
–
xi
.
52.
Zeinali M. Khajepour A.
2010
, "
Peak Command in Laser Cladding Using Adaptive Sliding Style Technique: Theory and Experiment
,"
ASME J. Manuf. Sci. Eng.
,
132
(
four
), pp.
1
–
10
.
53.
Zomorodi H. Landers R. One thousand.
2016
, "
Extrusion Based Condiment Manufacturing Using Explicit Model Predictive Control
," American Control Briefing (
ACC
), Boston, MA, July 6–8, pp.
1747
–
1752
.
54.
Yang South. Ghasemi A. H. Lu X. Okwudire C. Due east.
2015
, "
Pre-Compensation of Servo Contour Errors Using a Model Predictive Control Framework
,"
Int. J. Mach. Tools Manuf.
,
98
, pp.
50
–
60
.
55.
Zhang Thousand. Yuen A. Altintas Y.
2013
, "
Pre-Compensation of Profile Errors in Five-Axis CNC Machine Tools
,"
Int. J. Mach. Tools Manuf.
,
74
, pp.
1
–
11
.
56.
Lam D. Manzie C. Good Yard. C.
2013
, "
Model Predictive Contouring Command for Biaxial Systems
,"
IEEE Trans. Command Syst. Technol.
,
21
(
2
), pp.
552
–
559
.
57.
Stephens M. A. Manzie C. Good M. C.
2013
, "
Model Predictive Control for Reference Tracking on an Industrial Machine Tool Servo Drive
,"
IEEE Trans. Ind. Inf.
,
9
(
two
), pp.
808
–
816
.
58.
Tang L. Landers R. G.
2012
, "
Predictive Contour Control With Adaptive Feed Charge per unit
,"
IEEE/ASME Trans. Mechatronics
,
17
(
iv
), pp.
669
–
679
.
59.
Conway J. R. Ernesto C. A. Farouki R. T. Zhang K.
2012
, "
Performance Analysis of Cross-Coupled Controllers for CNC Machines Based Upon Precise Existent-Fourth dimension Contour Error Measurement
,"
Int. J. Mach. Tools Manuf.
,
52
(
1
), pp.
xxx
–
39
.
60.
Stemmler S. Abel D. Adams O. Klocke F.
2016
, "
Model Predictive Feed Charge per unit Control for a Milling Machine
,"
IFAC Papers Online
,
49
(
12
), pp.
11
–
16
.
61.
Peng Y. Wang J. Wei W.
2014
, "
Model Predictive Control of Servo Motor Driven Constant Pump Hydraulic System in Injection Molding Process Based on Neurodynamic Optimization
,"
J. Zhejiang Univ. Sci. C
,
fifteen
(
2
), pp.
139
–
146
.
62.
Reiter M. Stemmler South. Hopmann C. ReĆmann A. Abel D.
2014
, "
Model Predictive Control of Cavity Pressure level in an Injection Moulding Process
,"
IFAC Proc. Vol.
,
47
(
3
), pp.
4358
–
4363
.
63.
Coetzee L. C. Craig I. K. Kerrigan Eastward. C.
2010
, "
Robust Nonlinear Model Predictive Command of a Run-of-Mine Ore Milling Circuit
,"
IEEE Trans. Control Syst. Technol.
,
18
(
1
), pp.
222
–
229
.
64.
Olivier Fifty. E. Craig I. K.
2013
, "
Model-Institute Mismatch Detection and Model Update for a Run-of-Mine Ore Milling Circuit Under Model Predictive Control
,"
J. Procedure Control
,
23
(
2
), pp.
100
–
107
.
65.
Salazar J. ValdƩs-GonzƔlez H. Vyhmesiter E. Cubillos F.
2014
, "
Model Predictive Control of Semiautogenous Mills (Sag)
,"
Miner. Eng.
,
64
, pp.
92
–
96
.
66.
Sammons P. Thousand. Bristow D. A. Landers R. G.
2015
, "A Model Predictive Repetitive Procedure Control Formulation for Condiment Manufacturing Processes,"
ASME
Newspaper No. DSCC2015-9780.
67.
Cao X. Ayalew B.
2015
, "
Multivariable Predictive Control of Laser-Aided Pulverisation Deposition Processes
," American Control Conference (
ACC
), Chicago, IL, July 1–3, pp.
3625
–
3630
.
68.
Sammons P. M. Bristow D. A. Landers R. 1000.
2013
, "
Iterative Learning Control of Dewdrop Morphology in Laser Metallic Deposition Processes
," American Control Conference (
ACC
), Washington, DC, June 17–19, pp.
5942
–
5947
.
69.
Tang Fifty. Ruan J. Sparks T. E. Landers R. One thousand. Liou F.
2009
, "
Layer-to-Layer Height Control of Laser Metal Deposition Processes
," American Control Conference (
ACC
), St. Louis, MO, June 10–12, pp.
5582
–
5587
.
70.
Christiansson A. Lennartson B.
2012
, "
Height Control of Laser Metal-Wire Deposition Based on Iterative Learning Control and 3D Scanning
,"
Opt. Lasers Eng.
,
l
(
9
), pp.
1230
–
1241
.
71.
Boisselier D. SankarƩ South. Engel T.
2014
, "
Comeback of the Laser Directly Metal Deposition Process in five-Axis Configuration
,"
Eighth International Conference on Photonic Technologies
, FĆ¼rth, Deutschland, Sept. viii–11, pp.
239
–
249
.
72.
Montes C. A. Wong C. Ziegert J. C. Mears L.
2015
, "
Vision-Based Tracking of a Dynamic Target With Awarding to Multi-Axis Position Control
,"
J. Real-Fourth dimension Image Process.
,
10
(
1
), pp.
119
–
134
.
73.
Ding Due south. Huang X. Yu C. Wang W.
2016
, "
Actual Changed Kinematics for Position-Independent and Position-Dependent Geometric Error Compensation of Five-Axis Machine Tools
,"
Int. J. Mach. Tools Manuf.
,
111
, pp.
55
–
62
.
74.
Shin S. Woo J. Kim D. B. Kumaraguru S. Rachuri S.
2016
, "
Developing a Virtual Machining Model to Generate MTConnect Machine-Monitoring Information From STEP-NC
,"
Int. J. Prod. Res.
,
54
(
15
), pp.
1
–
19
.
75.
Altintas Y. Khoshdarregi M.
2012
, "
Contour Error Control of CNC Car Tools With Vibration Avoidance
,"
CIRP Ann.-Manuf. Technol.
,
61
(
1
), pp.
335
–
338
.
76.
Khoshdarregi Thou. R. Tappe South. Altintas Y.
2014
, "
Integrated Five-Axis Trajectory Shaping and Contour Error Compensation for High-Speed CNC Machine Tools
,"
IEEE/ASME Trans. Mechatronics
,
nineteen
(
6
), pp.
1859
–
1871
.
77.
Kaymakci Yard. Kilic Z. Altintas Y.
2012
, "
Unified Cutting Force Model for Turning, Boring, Drilling and Milling Operations
,"
Int. J. Mach. Tools Manuf.
,
54–55
, pp.
34
–
45
.
78.
Wang J. Gao R. 10. Yuan Z. Fan Z. Zhang L.
A Joint Particle Filter and Expectation Maximization Approach to Motorcar Condition Prognosis
,"
J. Intell. Manuf.
, epub.
79.
Zhu R. DeVor R. E. Kapoor S. G.
2003
, "
A Model-Based Monitoring and Mistake Diagnosis Methodology for Complimentary-Form Surface Machining Process
,"
ASME J. Manuf. Sci. Eng.
,
125
(
3
), pp.
397
–
404
.
80.
Zhang F. Yan Y. Butt S.
2016
, "
Integrated Model Based Thin-Walled Part Machining Precision Command for the Workpiece-Fixture Organisation
,"
Int. J. Adv. Manuf. Technol.
,
85
(
5
), pp.
1745
–
1758
.
81.
Mousavi S. Gagnol V. Bouzgarrou B. Ray P.
2017
, "
Model-Based Stability Prediction of a Machining Robot
,"
New Advances in Mechanisms, Mechanical Transmissions and Robotics
, B. Corves E.-C. Lovasz Thou. HĆ¼sing I. Maniu C. Gruescu
Springer
, London, pp.
379
–
387
.
82.
Cen 50. Melkote S. Due north. Castle J. Appelman H.
2016
, "
A Wireless Strength Sensing and Model Based Approach for Enhancement of Machining Accuracy in Robotic Milling
,"
IEEE/ASME Trans. Mechatronics
,
21
(
5
), pp.
2227
–
2235
.
83.
Lu Y. Jee C. Pagilla P. R.
2016
, "
Design of a Model-Based Observer for Estimation of Steel Strip Tension in Continuous Galvanizing/Annealing Lines
," American Control Conference (
ACC
), Boston, MA, July vi–8, pp.
3249
–
3254
.
84.
Itoh Grand.
2009
, "
Vibration Suppression Control for a Dies-Driving Spindle of a Form Rolling Automobile: Furnishings of a Model-Based Control With a Rotational Speed Sensor II
," International Conference on Mechatronics and Automation (
ICMA
), Changchun, China, Aug. ix–12, pp.
3827
–
3832
.
85.
Rabani A. Madariaga J. Bouvier C. Axinte D.
2016
, "
An Approach for Using Iterative Learning for Controlling the Jet Penetration Depth in Abrasive Waterjet Milling
,"
J. Manuf. Processes
,
22
, pp.
99
–
107
.
86.
Mohamad A. Zain A. M. Bazin N. East. N. Udin A.
2015
, "
A Process Prediction Model Based on Cuckoo Algorithm for Annoying Waterjet Machining
,"
J. Intell. Manuf.
,
26
(
6
), pp.
1247
–
1252
.
87.
Davis T. A. Shin Y. C. Yao B.
2010
, "
Observer-Based Adaptive Robust Control of Friction Stir Welding Centric Force
," IEEE/ASME International Conference on Advanced Intelligent Mechatronics (
AIM
), Montreal, QC, Canada, July six–nine, pp.
1162
–
1167
.
88.
Huang Northward. Liu Y. Chen Due south. Zhang Y.
2016
, "
Interval Model Control of Human Welder's Movement in Machine-Assisted Transmission GTAW Torch Operation
,"
Int. J. Adv. Manuf. Technol.
,
85
(
one
), pp.
397
–
405
.
89.
Suzuki North. Ikeda R. Shamoto Due east.
2016
, "Primitive Written report on Model-Based Process Identification by Utilizing Forcefulness Estimation Techniques,"
ASME
Paper No. MSEC2016-8872.
ninety.
Karpat Y. Zeren Due east. Ćzel T.
2005
, "
Workpiece Textile Model Based Predictions for Machining Processes
,"
Trans. NAMRI
,
33
(1), pp.
413
–
420
.
91.
Zhu Chiliad. San Wong Y. Hong M. S.
2009
, "
Wavelet Analysis of Sensor Signals for Tool Condition Monitoring: A Review and Some New Results
,"
Int. J. Mach. Tools Manuf.
,
49
(
7
), pp.
537
–
553
.
92.
Siddhpura A. Paurobally R.
2013
, "
A Review of Flank Wear Prediction Methods for Tool Condition Monitoring in a Turning Process
,"
Int. J. Adv. Manuf. Technol.
,
65
(
i–iv
), pp.
371
–
393
.
93.
Dutta S. Pal South. Mukhopadhyay S. Sen R.
2013
, "
Awarding of Digital Epitome Processing in Tool Condition Monitoring: A Review
,"
CIRP J. Manuf. Sci. Technol.
,
half dozen
(
3
), pp.
212
–
232
.
94.
Rao One thousand. V. Murthy B. Rao North. M.
2014
, "
Prediction of Cut Tool Wear, Surface Roughness and Vibration of Work Piece in Boring of AISI 316 Steel With Bogus Neural Network
,"
Measurement
,
51
, pp.
63
–
70
.
95.
da Silva R. da Silva M. Hassui A.
2016
, "
A Probabilistic Neural Network Practical in Monitoring Tool Vesture in the End Milling Operation Via Audio-visual Emission and Cutting Ability Signals
,"
Mach. Sci. Technol.
,
20
(
3
), pp.
386
–
406
.
96.
Wang G. Cui Y.
2013
, "
On Line Tool Wear Monitoring Based on Auto Associative Neural Network
,"
J. Intell. Manuf.
,
24
(
half-dozen
), pp.
1085
–
1094
.
97.
Akhavan Niaki F. Feng 50. Ulutan D. Mears Fifty.
2016
, "
A Wavelet-Based Data-Driven Modelling for Tool Wear Assessment of Hard to Motorcar Materials
,"
Int. J. Mechatronics Manuf. Syst.
,
9
(
ii
), pp.
97
–
121
.
98.
Corne R. Nath C. Mansori M. Due east. Kurfess T.
2016
, "
Enhancing Spindle Power Information Application With Neural Network for Real-Time Tool Wear/Breakage Prediction During Inconel Drilling
,"
Procedia Manuf.
,
5
, pp.
1
–
14
.
99.
Hu South. Liu F. He Y. Hu T.
2012
, "
An On-Line Arroyo for Energy Efficiency Monitoring of Machine Tools
,"
J. Cleaner Prod.
,
27
, pp.
133
–
140
.
100.
Atluru South. Huang S. H. Snyder J. P.
2012
, "
A Smart Machine Supervisory System Framework
,"
Int. J. Adv. Manuf. Technol.
,
58
(
5–8
), pp.
563
–
572
.
101.
Brezak D. Majetic D. Udiljak T. Kasac J.
2012
, "
Tool Wear Estimation Using an Analytic Fuzzy Classifier and Support Vector Machines
,"
J. Intell. Manuf.
,
23
(
three
), pp.
797
–
809
.
102.
GarcĆa-Nieto P. J. GarcĆa-Gonzalo E. VilĆ”n J. 5. Robleda A. S.
2016
, "
A New Predictive Model Based on the PSO-Optimized Support Vector Automobile Approach for Predicting the Milling Tool Wearable From Milling Runs Experimental Information
,"
Int. J. Adv. Manuf. Technol.
,
86
(
i–4
), pp.
i
–
12
.
103.
Wang 1000. Yang Y. Zhang Y. Xie Q.
2014
, "
Vibration Sensor Based Tool Condition Monitoring Using Ī½ Support Vector Machine and Locality Preserving Projection
,"
Sens. Actuators A: Phys.
,
209
, pp.
24
–
32
.
104.
Mosallam A. Medjaher K. Zerhouni N.
2014
, "
Data-Driven Prognostic Method Based on Bayesian Approaches for Direct Remaining Useful Life Prediction
,"
J. Intell. Manuf.
,
27
(
5
), pp.
i
–
12
.
105.
Kannatey-Asibu Due east. Yum J. Kim T.
2017
, "
Monitoring Tool Wear Using Classifier Fusion
,"
Mech. Syst. Signal Process.
,
85
, pp.
651
–
661
.
106.
Yin F. Mao H. Hua L. Guo West. Shu M.
2011
, "
Back Propagation Neural Network Modeling for Warpage Prediction and Optimization of Plastic Products During Injection Molding
,"
Mater. Des.
,
32
(
iv
), pp.
1844
–
1850
.
107.
Altan M.
2010
, "
Reducing Shrinkage in Injection Moldings Via the Taguchi, ANOVA and Neural Network Methods
,"
Mater. Des.
,
31
(
i
), pp.
599
–
604
.
108.
Che Z.
2010
, "
PSO-Based Back-Propagation Artificial Neural Network for Product and Mold Cost Estimation of Plastic Injection Molding
,"
Comput. Ind. Eng.
,
58
(
four
), pp.
625
–
637
.
109.
Wang H. Wang Y. Wang Y.
2013
, "
Cost Estimation of Plastic Injection Molding Parts Through Integration of PSO and BP Neural Network
,"
Expert Syst. Appl.
,
40
(
2
), pp.
418
–
428
.
110.
Tsai C. Chang Y. Tung Southward.
2014
, "
Two DOF Temperature Control Using RBFNN for Stretch PET Accident Molding Machines
," IEEE International Conference on Systems, Man and Cybernetics (
SMC
), San Diego, CA, Oct. 5–8, pp.
1759
–
1764
.
111.
Gu L. Zheng T.
2016
, "
Written report on the Generalized Holo-Factors Mathematical Model of Dimension-Error and Shape-Error for Sail Metallic in Stamping Based on the Dorsum Propagation (BP) Neural Network
,"
ASME J. Manuf. Sci. Eng.
,
138
(
6
), p.
064502
.
112.
Chokshi P. Dashwood R. Hughes D. J.
2017
, "
Artificial Neural Network (ANN) Based Microstructural Prediction Model for 22MnB5 Boron Steel During Tailored Hot Stamping
,"
Comput. Struct.
,
190
, pp.
162
–
172
.
113.
Hartmann C. Opritescu D. Volk Westward.
2016
, "
An Bogus Neural Network Approach for Tool Path Generation in Incremental Canvas Metal Complimentary-Forming
,"
J. Intell. Manuf.
, epub.
114.
Li Y. Xu M. Wei Y. Huang W.
2016
, "
A New Rolling Bearing Fault Diagnosis Method Based on Multiscale Permutation Entropy and Improved Back up Vector Machine Based Binary Tree
,"
Measurements
,
77
, pp.
80
–
94
.
115.
Li X. Zheng A. Li C. Zhang L.
2013
, "
Rolling Element Bearing Fault Detection Using Support Vector Motorcar With Improved Ant Colony Optimization
,"
Measurements
,
46
(
viii
), pp.
2726
–
2734
.
116.
Bhat Due north. N. Kumari K. Dutta South. Pal S. K. Pal S.
2015
, "
Friction Stir Weld Nomenclature by Applying Wavelet Analysis and Support Vector Machine on Weld Surface Images
,"
J. Manuf. Processes
,
20
(
Role i
), pp.
274
–
281
.
117.
Das B. Pal S. Handbag S.
2017
, "
Torque Based Defect Detection and Weld Quality Modelling in Friction Stir Welding Process
,"
J. Manuf. Processes
,
27
, pp.
8
–
17
.
118.
Das B. Pal S. Purse S.
2017
, "
Design and Development of Force and Torque Measurement Setup for Real Time Monitoring of Friction Stir Welding Process
,"
Measurements
,
103
, pp.
186
–
198
.
119.
Pani A. Thou. Mohanta H. Grand.
2014
, "
Soft Sensing of Particle Size in a Grinding Process: Application of Support Vector Regression, Fuzzy Inference and Adaptive Neuro Fuzzy Inference Techniques for Online Monitoring of Cement Fineness
,"
Pulverization Technol.
,
264
, pp.
484
–
497
.
120.
Zhang Y. Liang Y.
2016
, "
Research on Soft-Sensor Based on Support Vector Regression for Particle Size of Grinding and Classification Process
," Chinese IEEE Command and Decision Briefing (
CCDC
), Yinchuan, China, May 28–30, pp.
6708
–
6713
.
121.
Xiong J. Zhang M. Qiu Z. Li Y.
2013
, "
Vision-Sensing and Dewdrop Width Control of a Unmarried-Bead Multi-Layer Part: Material and Energy Savings in GMAW-Based Rapid Manufacturing
,"
J. Cleaner Prod.
,
41
, pp.
82
–
88
.
122.
Xiong J. Zhang G. Hu J. Wu L.
2014
, "
Bead Geometry Prediction for Robotic GMAW-Based Rapid Manufacturing Through a Neural Network and a Second-Society Regression Assay
,"
J. Intell. Manuf.
,
25
(
1
), pp.
157
–
163
.
123.
Xiong J. Zhang 1000. Hu J. Li Y.
2013
, "
Forecasting Process Parameters for GMAW-Based Rapid Manufacturing Using Closed-Loop Iteration Based on Neural Network
,"
Int. J. Adv. Manuf. Technol.
,
69
(
one–4
), pp.
743
–
751
.
124.
Saqib S. Urbanic R. J. Aggarwal K.
2014
, "
Analysis of Laser Cladding Bead Morphology for Developing Additive Manufacturing Travel Paths Design of Experiments
,"
47th CIRP Conference on Manufacturing Systems
, Windsor, ON, Canada, Apr. 28–30, pp.
824
–
829
.
125.
Sarlo R. Tarazaga P. A.
2016
, "
A Neural Network Approach to 3D Printed Surrogate Systems
,"
Nonlinear Dynamics
(Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics), Vol. 1, Springer, Cham, Switzerland, pp.
215
–
222
.
126.
Chowdhury S. Anand South.
2016
, "Bogus Neural Network Based Geometric Compensation for Thermal Deformation in Additive Manufacturing Processes,"
ASME
Newspaper No. MSEC2016-8784.
127.
Jayadeva R. Khemchandani South. Chandra
2005
, "
Fuzzy Linear Proximal Support Vector Machines for Multi-Category Data Classification
,"
Neurocomputing
,
67
, pp.
426
–
435
.
128.
Tseng T. L. Ho J. C. Gandara P. Huang C. C. Chiou R. Zheng J. Gonzalez M.
2011
, "
E-Quality Control in Additive Manufacturing Using Support Vector Machines and Dimensional Index
,"
61st Annual IIE Briefing and Expo
, Reno, NV, May 21–25, pp. 2312–2319.
129.
Erdim H. Lazoglu I. Ozturk B.
2006
, "
Feedrate Scheduling Strategies for Gratis-Grade Surfaces
,"
Int. J. Mach. Tools Manuf.
,
46
(
7
), pp.
747
–
757
.
130.
Erdim H. Lazoglu I.
2012
, "
Offline Strength Control and Feedrate Scheduling for Complex Free Class Surfaces in v-Axis Milling
,"
Procedia CIRP
,
1
, pp.
96
–
101
.
131.
Han Z. Jin H. Fu Y. Fu H.
2017
, "
Cutting Deflection Control of the Bract Based on Existent-Fourth dimension Feedrate Scheduling in Open Modular Architecture CNC System
,"
Int. J. Adv. Manuf. Technol.
,
90
(
9–12
), pp.
2567
–
2579
.
132.
Liang Y. Ren J. Zhang D. Li X. Zhou J.
2015
, "
Mechanics-Based Feedrate Scheduling for Multi-Axis Plunge Milling
,"
Int. J. Adv. Manuf. Technol.
,
79
(
ane–four
), pp.
123
–
133
.
133.
Lee A. Lin M. Pan Y. Lin W.
2011
, "
The Feedrate Scheduling of NURBS Interpolator for CNC Machine Tools
,"
Comput. Aided Des.
,
43
(
6
), pp.
612
–
628
.
134.
Sun Y. Zhao Y. Bao Y. Guo D.
2014
, "
A Novel Adaptive-Feedrate Interpolation Method for NURBS Tool Path With Drive Constraints
,"
Int. J. Mach. Tools Manuf.
,
77
, pp.
74
–
81
.
135.
Beudaert X. Lavernhe Southward. Tournier C.
2012
, "
Feedrate Interpolation With Axis Jerk Constraints on five-Axis NURBS and G1 Tool Path
,"
Int. J. Mach. Tools Manuf.
,
57
, pp.
73
–
82
.
136.
Ridwan F. Xu X.
2013
, "
Advanced CNC System With In-Process Feed-Charge per unit Optimization
,"
Rob. Comput. Integr. Manuf.
,
29
(
three
), pp.
12
–
20
.
137.
Deng C. Xiong Y. Wang Y. Wu J.
2012
, "
Machining Process Parameters Optimization Based on Grid Optimization Algorithm
,"
Adv. Mater. Res.
,
562–564
, pp.
2021
–
2025
.
138.
Bosetti P. Leonesio M. Parenti P.
2013
, "
On Development of an Optimal Control System for Real-Fourth dimension Process Optimization on Milling Automobile Tools
,"
Procedia CIRP
,
12
, pp.
31
–
36
.
139.
Yao Z. Zhou M.
2015
, "
Applying Multi-Objective Particle Swarm Optimization to Maintenance Scheduling for CNC Automobile Tools
,"
Appl. Mech. Mater.
,
721
, pp.
144
–
148
.
140.
Gao Z. Zhang D.
2015
, "
Performance Analysis, Mapping, and Multiobjective Optimization of a Hybrid Robotic Machine Tool
,"
IEEE Trans. Ind. Electron.
,
62
(
1
), pp.
423
–
433
.
141.
Chen W. Nguyen K. Chiu W. Chen T. Tai P.
2016
, "
Optimization of the Plastic Injection Molding Process Using the Taguchi Method, RSM, and Hybrid GA-PSO
,"
Int. J. Adv. Manuf. Technol.
,
83
(
9–12
), pp.
1873
–
1886
.
142.
Dang X.
2014
, "
Simulation Modelling Exercise and Theory General Frameworks for Optimization of Plastic Injection Molding Process Parameters
,"
Simul. Model. Practice Theory
,
41
, pp.
15
–
27
.
143.
Ohara K. Tsugeno Grand. Imanari H. Sakiyama Y. Kitagoh M. Yanagimoto J.
2014
, "
Process Optimization for the Manufacturing of Sheets With Estimated Balance Between Product Quality and Energy Consumption
,"
CIRP Ann. Manuf. Technol.
,
63
(i), pp.
257
–
260
.
144.
Karen I. Kaya N. ĆztĆ¼rk F.
2015
, "
Intelligent Dice Design Optimization Using Enhanced Differential Evolution and Response Surface Methodology
,"
J. Intell. Manuf.
,
26
(
5
), pp.
1027
–
1038
.
145.
Wang H. Chen 50. Li E.
2017
, "
Time Dependent Sheet Metal Forming Optimization by Using Gaussian Process Assisted Firefly Algorithm
,"
Int. J. Mater. Forming
, epub.
146.
Kurra S. Regalla Due south. Gupta A. Thou.
2016
, "
Parametric Study and Multi-Objective Optimization in Single-Point Incremental Forming of Extra Deep Drawing Steel Sheets
,"
Proc. Inst. Mech. Eng., Part B: J. Eng. Manuf.
,
230
(
5
), pp.
825
–
837
.
147.
Garg A. Siu J. S. L. Savalani One thousand. M.
2015
, "
A New Computational Intelligence Approach in Formulation of Functional Relationship of Open up Porosity of the Condiment Manufacturing Process
,"
Int. J. Adv. Manuf. Technol.
,
eighty
(
ane–4
), pp.
555
–
565
.
148.
Canellidis V. Giannatsis J. Dedoussis 5.
2016
, "
Evolutionary Calculating and Genetic Algorithms: Paradigm Applications in 3D Printing Process Optimization
,"
Intelligent Computing Systems
, G. A. Tsihrintzis M. Virvou L. C. Jain due east
271
–
298.
149.
Moller One thousand. Baramsky North. Ewald A. Emmelmann C. Schlattmann J.
2016
, "
Evolutionary-Based Design and Control of Geometry Aims for AMD-Manufcturing of Ti–6Al–4V Parts
,"
Nineth International Conference on Photonic Technologies
(
LANE
), FĆ¼rth, Frg, Sept. 19–22, pp.
733
–
742
.
150.
Villalpando L. Eiliat H. Urbanic R. J.
2014
, "
An Optimization Approach for Components Built by Fused Degradation Modeling With Parametric Internal Structures
," Sixth CIRP Briefing on Industrial Product-Service System (
ISP2
), Windsor, ON, Canada, May 1–2, pp.
800
–
805
.
151.
Pathak Five. One thousand. Singh A. K.
2017
, "
A Particle Swarm Optimization Approach for Minimizing GD&T Error in Condiment Manufactured Parts: PSO Based GD&T Minimization
,"
Int. J. Manuf., Mater., Mech. Eng.
,
7
(
three
), pp.
67
–
72
.
152.
Karandikar J. McLeay T. Turner S. Schmitz T.
2015
, "
Tool Article of clothing Monitoring Using NaĆÆve Bayes Classifiers
,"
Int. J. Adv. Manuf. Technol.
,
77
(
ix–12
), pp.
1613
–
1626
.
153.
Mandal S. Sharma 5. K. Pal A.
2016
, "
Tool Strain–Based Habiliment Estimation in Micro Turning Using Bayesian Networks
,"
Proc. Inst. Mech. Eng., Role B
,
230
(
10
), pp.
1952
–
1960
.
154.
Kong, D., Chen, Y., and Li, N., 2017, "
Hidden Semi-Markov Model-Based Method for Tool Wearable Estimation in Milling Procedure
,"
J. Adv. Manuf. Technol.
,
92
(9–12), pp. 3647–3657.
155.
Yu J. Liang S. Tang D. Liu H.
2016
, "
A Weighted Subconscious Markov Model Approach for Continuous-Country Tool Wear Monitoring and Tool Life Prediction
,"
Int. J. Adv. Manuf. Technol.
,
91
(
1–4
), pp.
201
–
211
.
156.
Zhu 1000. Wong Y. S. Hong G. South.
2009
, "
Multi-Category Micro-Milling Tool Wear Monitoring With Continuous Hidden Markov Models
,"
Mech. Syst. Signal Procedure.
,
23
(
2
), pp.
547
–
560
.
157.
Wang Thou. Feng X.
2013
, "
Tool Wear State Recognition Based on Linear Concatenation Conditional Random Field Model
,"
Eng. Appl. Artif. Intell.
,
26
(
4
), pp.
1421
–
1427
.
158.
Li L. An Q.
2016
, "
An In-Depth Study of Tool Vesture Monitoring Technique Based on Image Sectionalization and Texture Analysis
,"
Measurement
,
79
, pp.
44
–
52
.
159.
Akhavan Niaki F. Michel M. Mears L.
2016
, "
Land of Health Monitoring in Machining: Extended Kalman Filter for Tool Wearable Assessment in Turning of IN718 Hard-to-Machine Alloy
,"
J. Manuf. Processes
,
24
(
Role ii
), pp.
361
–
369
.
160.
Akhavan Niaki F. Ulutan D. Mears 50.
2015
, "
Stochastic Tool Article of clothing Assessment in Milling Hard to Machine Alloys
,"
Int. J. Mechatronics Manuf. Syst.
,
8
(
3–4
), pp.
134
–
159
.
161.
Wang P. Gao R. X.
2016
, "
Stochastic Tool Clothing Prediction for Sustainable Manufacturing
,"
Procedia CIRP
,
48
, pp.
236
–
241
.
162.
Dey Southward. Stori J.
2005
, "
A Bayesian Network Approach to Root Cause Diagnosis of Process Variations
,"
Int. J. Mach. Tools Manuf.
,
45
(
1
), pp.
75
–
91
.
163.
Correa M. Bielza C. Ramirez M. D. J. Alique J.
2008
, "
A Bayesian Network Model for Surface Roughness Prediction in the Machining Process
,"
Int. J. Syst. Sci.
,
39
(
12
), pp.
1181
–
1192
.
164.
Mehta P. Werner A. Mears Fifty.
2015
, "
Status Based Maintenance-Systems Integration and Intelligence Using Bayesian Nomenclature and Sensor Fusion
,"
J. Intell. Manuf.
,
26
(
2
), pp.
331
–
346
.
165.
Nannapaneni Due south. Mahadevan Due south. Rachuri S.
2016
, "
Performance Evaluation of a Manufacturing Process Nether Uncertainty Using Bayesian Networks
,"
J. Cleaner Prod.
,
113
, pp.
947
–
959
.
166.
Jin S. Liu C. Lai X. Li F. He B.
2017
, "
Bayesian Network Approach for Ceramic Vanquish Deformation Fault Diagnosis in the Investment Casting Process
,"
Int. J. Adv. Manuf. Technol.
,
88
(
ane–4
), pp.
663
–
674
.
167.
Verma Five. I. Magikar A. Patil M.
2017
, "
Simulation Based Fault Detection and Diagnosis for Condiment Manufacturing
,"
Indian J. Sci. Technol.
,
10
(
sixteen
), pp. 1–eight.
168.
Rao P. Chiliad. Liu J. Roberson D. Kong Z. Williams C.
2015
, "
Online Real-Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors
,"
ASME J. Manuf. Sci. Eng.
,
137
(
six
), p.
061007
.
169.
Uhlmann E. Pastl R. Laghmouchi A. Bergmann A.
2017
, "
Intelligent Pattern Recognition of a SLM Machine Process and Sensor Data
," Tenth CIRP Briefing on Intelligent Computation in Manufacturing Engineering (
ICME
), Napoli, Italy, July 20–22, pp.
464
–
469
.
170.
Rabiner L.
1989
, "
A Tutorial on Subconscious Markov Models and Selected Applications in Speech Recognition
,"
Proc. IEEE
,
77
(
2
), pp.
257
–
286
.
171.
Geramifard O. Xu J. Zhou J. Li 10.
2012
, "
A Physically Segmented Hidden Markov Model Approach for Continuous Tool Condition Monitoring: Diagnostics and Prognostics
,"
IEEE Trans. Ind. Inf.
,
8
(
4
), pp.
964
–
973
.
172.
Geramifard O. Xu J. Zhou J. Li X.
2014
, "
Multimodal Subconscious Markov Model-Based Arroyo for Tool Wear Monitoring
,"
IEEE Trans. Ind. Electron.
,
61
(
6
), pp.
2900
–
2911
.
173.
Bhat N. N. Dutta S. Pal Southward. 1000. Pal Due south.
2016
, "
Tool Condition Classification in Turning Process Using Hidden Markov Model Based on Texture Assay of Machined Surface Images
,"
Measurements
,
90
, pp.
500
–
509
.
174.
Ge 1000. Du R. Xu Y.
2004
, "
Hidden Markov Model Based Fault Diagnosis for Stamping Processes
,"
Mech. Syst. Point Process.
,
18
(
2
), pp.
391
–
408
.
175.
Wu H. Yu Z. Wang Y.
2017
, "
Real-Time FDM Machine Condition Monitoring and Diagnosis Based on Audio-visual Emission and Subconscious Semi-Markov Model
,"
Int. J. Adv. Manuf. Technol.
,
90
(
five–8
), pp.
2027
–
2036
.
176.
Mahfouz S. Mourad-Chehade F. Honeine P. Farah J. Snoussi H.
2014
, "
Target Tracking Using Machine Learning and Kalman Filter in Wireless Sensor Networks
,"
IEEE Sens. J.
,
14
(
10
), pp.
3715
–
3725
.
177.
Enkhtur M. Cho S. Y. Kim K.
2013
, "
Modified Unscented Kalman Filter for a Multirate INS/GPS Integrated Navigation Organisation
,"
ETRI J.
,
35
(
5
), pp.
943
–
946
.
178.
Wang P. Gao R. Ten.
2016
, "
Markov Nonlinear Organization Estimation for Engine Performance Tracking
,"
ASME J. Eng. Gas Turbines Power
,
138
(
9
), p.
091201
179.
Zhang H. Zhang C. Zhang J. Zhou L.
2014
, "
Tool Wear Model Based on Least Squares Support Vector Machines and Kalman Filter
,"
Prod. Eng.
,
8
(
ane–2
), pp.
101
–
109
.
180.
Ahn South. Beaman J. J. Williamson R. Fifty. Melgaard D. 1000.
2010
, "
Model-Based Command of Electroslag Remelting Process Using Unscented Kalman Filter
,"
ASME J. Dyn. Syst. Meas. Control
,
132
(
1
), p.
011011
.
181.
Beaman J. J. Lopez Fifty. F. Williamson R. L.
2014
, "
Modeling of the Vacuum Arc Remelting Process for Estimation and Command of the Liquid pool Profile
,"
ASME J. Dyn. Syst. Meas. Control
,
136
(
iii
), p.
031007
.
182.
Izquierdo L. East. Shi J. Hu S. J. Wampler C. West.
2007
, "
Feedforward Control of Multistage Assembly Processes Using Programmable Tooling
,"
Trans. NAMRI/SME
,
35
, pp.
295
–
302
.
183.
Campbell West. J. Firth S. K. Toprac A. J. Edgar T. F.
2002
, "
A Comparison of Run-to-Run Control Algorithms
," American Command Conference (
ACC
), Anchorage, AK, May eight–x, pp.
2150
–
2155
.
184.
Harirchi, F., Vincent, T., Subramanian, A., Poolla, M., and Stirton, B., 2013, "
Characterizing and Resolving Unobservability in Run-to-Run Control of High Mix Semiconductor Manufacturing
," IEEE Annual Briefing on Decision and Command (
CDC
), Florence, Italian republic, Dec. 10–thirteen, pp. 7022–7027.
185.
Wang Y. Gao F. Doyle F. J.
2009
, "
Survey on Iterative Learning Control, Repetitive Control, and Run-to-Run Control
,"
J. Procedure Command
,
19
(
10
), pp.
1589
–
1600
.
186.
Miller M. L.
1997
, "
Touch of Multi-Production and -Process Manufacturing on Run-to-Run Control
,"
Proc. SPIE
,
3213
, pp.
138
–
146
.
187.
Jin J. Shi J.
1999
, "
State Space Modeling of Sheet Metal Associates for Dimensional Control
,"
ASME J. Manuf. Sci. Eng.
,
121
(
4
), pp.
756
–
762
.
188.
Kwon J. S. Nayhouse Grand. Orkoulas G. Ni D. Christofides P. D.
2015
, "
A Method for Handling Batch-to-Batch Parametric Drift Using Moving Horizon Estimation: Awarding to Run-to-Run MPC of Batch Crystallization
,"
Chem. Eng. Sci.
,
127
(
1
), pp.
210
–
219
.
189.
Kwon J. S. Nayhouse Yard. Orkoulas G. Ni D. Christoffides P. D.
2015
, "
Run-to-Run-Based Model Predictive Control of Protein Crystal Shape in Batch Crystallization
,"
Ind. Eng. Chem. Res.
,
54
(
sixteen
), pp.
4293
–
4302
.
190.
Wang 10. Wu S. Wang K.
2015
, "
A Run-to-Run Profile Control Algorithm for Improving the Flatness of Nano-Scale Products
,"
IEEE Trans. Autom. Sci. Eng.
,
12
(
i
), pp.
192
–
203
.
191.
De Liao 50. Chao P. C. P. Lin Y. J. Chiu C. Due west. Miaou S. Thou. Chang M. Huang J. South.
2009
, "
Precision Micro-/Nano-Machining in a Scanning Electron Microscope past Run-to-Run Control Based on Paradigm Feedbacks
,"
Microelectron. Eng.
,
86
(
4–6
), pp.
1162
–
1168
.
192.
Mehta P. Mears 50.
2015
, "
Adaptive Control for Multistage Machining Procedure Scenario—Bar Turning With Varying Material Backdrop
,"
Int. J. Adv. Manuf. Technol.
,
78
(
5–8
), pp.
1265
–
1273
.
193.
Tan F. Pan T. Li Z. Chen South.
2015
, "
Survey on Run-to-Run Command Algorithms in High-Mix Semiconductor Manufacturing Processes
,"
IEEE Trans. Ind. Inf.
,
xi
(
six
), pp.
1435
–
1444
.
194.
Fan S.-Yard. S. Chang Y.-J.
2013
, "
An Integrated Advanced Process Control Framework Using Run-to-Run Command, Virtual Metrology and Fault Detection
,"
J. Process Control
,
23
(
7
), pp.
933
–
942
.
195.
Ning Z. Moyne J. R. Smith T. Boning D. Del Castillo Eastward. Yeh J.-Y. Hurwitz A.
1996
, "
A Comparative Assay of Run-to-Run Control Algorithms in the Semiconductor Manufacturing Industry
," IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop (
ASMC
), Cambridge, MA, Nov. 12–14, pp.
375
–
381
.
196.
Box G. Due east. P. Jenkins K. M.
1963
, "
Farther Contributions to Adaptive Quality Command: Simultaneous Estimation of Dynamics: Not-Zero Costs
," International Statistical Institute, Hague, The Netherlands, Technical Report No.
19
.
197.
Sachs E. Hu A. Ingolfsson A.
1995
, "
Run past Run Process Control: Combining SPC and Feedback Control
,"
IEEE Trans. Semicond. Manuf.
,
8
(
1
), pp.
26
–
43
.
198.
Patel N. Southward. Jenkins S. T.
2000
, "
Adaptive Optimization of Run-to-Run Controllers: The EWMA Case
,"
IEEE Trans. Semicond. Manuf.
,
thirteen
(
1
), pp.
97
–
107
.
199.
Wang J. He Q. P.
2007
, "
A Bayesian Arroyo for Disturbance Detection and Classification and Its Awarding to State Estimation in Run-to-Run Command
,"
IEEE Trans. Semicond. Manuf.
,
20
(
two
), pp.
126
–
136
.
200.
Good R. P. Qin Southward. J.
2006
, "
On the Stability of MIMO EWMA Run-to-Run Controllers With Metrology Delay
,"
IEEE Trans. Semicond. Manuf.
,
19
(
1
), pp.
78
–
86
.
201.
Good R. Qin S. J.
2002
, "
Stability Analysis of Double EWMA Run-to-Run Control With Metrology Delay
," American Command Conference (
ACC
), Anchorage, AK, May eight–10, pp.
2156
–
2161
.
202.
Mullins J. A. Campbell W. J. Stock A. D.
1997
, "
Evaluation of Model Predictive Control in Run-to-Run Processing in Semiconductor Manufacturing
,"
Proc. SPIE
,
3213
, pp.
182
–
189
.
203.
Bode C. A. Ko B. S. Edgar T. F.
2004
, "
Run-to-Run Control and Performance Monitoring of Overlay in Semiconductor Manufacturing
,"
Command Eng. Practise
,
12
(
7
), pp.
893
–
900
.
204.
Qin Due south. J. Badgwell T. A.
2003
, "
A Survey of Industrial Model Predictive Control Technology
,"
Control Eng. Practice
,
11
(
7
), pp.
733
–
764
.
205.
Jiao Y. Djurdjanovic D.
2011
, "
Stochastic Control of Multilayer Overlay in Lithography Processes
,"
IEEE Trans. Semicond. Manuf.
,
24
(
3
), pp.
404
–
417
.
206.
Lee J. H. Lee K. Southward.
2007
, "
Iterative Learning Control Applied to Batch Processes: An Overview
,"
Command Eng. Practice
,
15
(
10
), pp.
1306
–
1318
.
207.
Chi R. Lin North. Zhang R. Huang B. Feng Y.
2016
, "
Stochastic Loftier-Guild Internal Model-Based Adaptive TILC With Random Uncertainties in Initial States and Desired Reference Points
,"
Int. J. Adaptive Control Betoken Process.
,
31
(
5
), pp.
726
–
741
.
208.
He F. Wang K. Jiang W.
2009
, "
A General Harmonic Rule Controller for Run-to-Run Procedure Command
,"
IEEE Trans. Semicond. Manuf.
,
22
(
2
), pp.
232
–
244
.
209.
Zhang J. Chu C.-C. Munoz J. Chen J.
2009
, "
Minimum Entropy Based Run-to-Run Control for Semiconductor Processes With Uncertain Metrology Delay
,"
J. Process Control
,
19
(
ten
), pp.
1688
–
1697
.
210.
Jin R. Shi J.
2012
, "
Reconfigured Piecewise Linear Regression Tree for Multistage Manufacturing Procedure Command
,"
IIE Trans.
,
44
(
4
), pp.
249
–
261
.
211.
Chen J. Munoz J. Cheng N.
2012
, "
Deterministic and Stochastic Model Based Run-to-Run Control for Batch Processes With Measurement Delays of Uncertain Duration
,"
J. Process Command
,
22
(
2
), pp.
508
–
517
.
212.
Kao C.-A. Cheng F.-T. Wu W.-Grand. Kong F.-W. Huang H.-H.
2013
, "
Run-to-Run Command Utilizing Virtual Metrology With Reliance Index
,"
IEEE Trans. Semicond. Manuf.
,
26
(
1
), pp.
69
–
81
.
213.
Cano Marchal P. GĆ”mez GarcĆa J. GĆ³mez Ortega J.
2015
, "
Decision Support Organisation Based on Fuzzy Cognitive Maps and Run-to-Run Control for Global Set-Indicate Determination
," IEEE International Conference on Systems, Man, and Cybernetics (
SMC
), Kowloon, Cathay, October. 9–12, pp.
1745
–
1751
.
214.
Wang G.-J. Yu C.-H.
2006
, "
Developing a Neural Network-Based Run-to-Run Process Controller for Chemical-Mechanical Planarization
,"
Int. J. Adv. Manuf. Technol.
,
28
(
9–ten
), pp.
899
–
908
.
215.
Ma M.-D. Chang C.-C. Jang South.-S. Wong D. S.-H.
2009
, "
Mixed Product Run-to-Run Process Control—An ANOVA Model With ARIMA Disturbance Arroyo
,"
J. Procedure Control
,
19
(
4
), pp.
604
–
614
.
216.
Bode C. A. Wang J. He Q. P. Edgar T. F.
2007
, "
Run-to-Run Control and Land Estimation in High-Mix Semiconductor Manufacturing
,"
Annu. Rev. Control
,
31
(
ii
), pp.
241
–
253
.
217.
Zheng Y. Lin Q.-H. Wang D. S.-H. Jang S.-South. Hui K.
2006
, "
Stability and Operation Analysis of Mixed Product Run-to-Run Control
,"
J. Process Control
,
16
(
5
), pp.
431
–
443
.
218.
Wu G.-F. Lin W.-K. Ho C.-L. Wong D. S.-H. Jang S.-S. Zheng Y. Jain A.
2007
, "A Feed
Forrad/Feedback Run-to-Run Control of a Mixed Production Process: Simulation and Experimental Studies
,"
Ind. Eng. Chem. Res.
,
46
(
21
), pp.
6963
–
6970
.
219.
Ai B. Zheng Y. Jang S.-S. Wang Y. Ye Fifty. Zhou C.
2009
, "
The Optimal Drift-Compensatory and Mistake Tolerant Approach for Mixed-Product Run-to-Run Command
,"
J. Process Command
,
xix
(
8
), pp.
1401
–
1412
.
220.
Zheng Y. Ai B. Wong D. Southward. H. Jang S. S. Wang Y. Zhang J.
2010
, "
An EWMA Algorithm With a Cycled Resetting (CR) Discount Gene for Migrate and Fault of Loftier-Mix Run-to-Run Control
,"
IEEE Trans. Ind. Inf.
,
half-dozen
(
ii
), pp.
229
–
242
.
221.
Lee A.-C. Horng J.-H. Kuo T.-W. Chou N.-H.
2014
, "
Robustness Analysis of Mixed Product Run-to-Run Control for Semiconductor Process Based on ODOB Control Structure
,"
IEEE Trans. Semicond. Manuf.
,
27
(
2
), pp.
212
–
222
.
222.
Harirchi F. Vincent T. 50. Subramanian A. Poolla M. Stirton B.
2014
, "
On the Initialization of Threaded Run-to-Run Command of Semiconductor Manufacturing
,"
IEEE Trans. Semicond. Manuf.
,
27
(
4
), pp.
515
–
522
.
223.
Firth S. K. Campbell W. J. Toprac A. Edgar T. F.
2006
, "
Merely-in-Time Adaptive Disturbance Interpretation for Run-to-Run Control of Semiconductor Processes
,"
IEEE Trans. Semicond. Manuf.
,
xix
(
3
), pp.
298
–
315
.
224.
Ma 1000.-D. Chang C.-C. Wong D. S.-H. Jang S.-S.
2009
, "
Identification of Tool and Product Furnishings in a Mixed Product and Parallel Tool Surroundings
,"
J. Procedure Command
,
19
(
4
), pp.
591
–
603
.
225.
Vanli O. A. Patel Due north. S. Janakiram M. Del Castillo E.
2007
, "
Model Context Option for Run-to-Run Control
,"
IEEE Trans. Semicond. Manuf.
,
20
(
iv
), pp.
506
–
516
.
226.
Bian J. Pan T.
2014
, "
Mixed-Product Run to Run Control Algorithm Using Bayesian Method
," 11th Earth Congress on Intelligent Control and Automation (
WCICA
), Shenyang, Red china, June 29–July 4, pp.
4356
–
4360
.
227.
Pasadyn A. J. Edgar T. F.
2005
, "
Observability and State Estimation for Multiple Product Control in Semiconductor Manufacturing
,"
IEEE Trans. Semicond. Manuf.
,
18
(
4
), pp.
592
–
604
.
228.
Harirchi F. Vincent T. Subramanian A. Poolla K. Stirton B.
2013
, "
Implementation of Nonthreaded Estimation for Run-to-Run Control of High Mix Semiconductor Manufacturing
,"
IEEE Trans. Semicond. Manuf.
,
26
(
four
), pp.
516
–
528
.
229.
Yelverton M. E. Agrawal G. Thou.
2014
, "
Lithography Run-to-Run Control in High Mix Manufacturing Environment With a Dynamic Land Estimation Arroyo
,"
Proc. SPIE
,
9050
, p. 90500Q.
230.
Ding Y. Jin J. Ceglarek D. Shi J.
2005
, "
Process-Oriented Tolerancing for Multi-Station Associates Systems
,"
IIE Trans.
,
37
(
6
), pp.
493
–
508
.
231.
Mantripragada R. Whitney D. E.
1999
, "
Modeling and Controlling Variation Propagation in Mechanical Assemblies Using State Transition Models
,"
IEEE Trans. Rob. Autom.
,
15
(
one
), pp.
124
–
140
.
232.
Hu S. J. Koren Y.
1997
, "
Stream-of-Variation Theory for Automotive Trunk Assembly
,"
CIRP Ann. Manuf. Technol.
,
46
(
1
), pp.
1
–
6
.
233.
Ding Y. Ceglarek D. Shi J.
2000
, "
Modeling and Diagnosis of Multistage Manufacturing Processes—Function ane: Land Space Model
,"
JAPAN/USA Symposium on Flexible Automation
, Ann Arbor, MI, July 23–26, pp.
one
–
8
.
234.
Zhong J.
2009
, "Manufacturing Organisation Variation Reduction Through Feed-Forward Control Because Model Uncertainties,"
Ph.D. thesis
, Academy of Michigan, Ann Arbor, MI.
235.
Jiao Y. Djurdjanovic D.
2011
, "
Compensability of Errors in Production Quality in Multistage Manufacturing Processes
,"
J. Manuf. Syst.
,
xxx
(
four
), pp.
204
–
213
.
236.
Djurdjanovic D. Zhu J.
2005
, "Stream of Variation Based Error Bounty Strategy in Multi-Stage Manufacturing Processes,"
ASME
Paper No. IMECE2005-81550.
237.
Djurdjanovic D. Ni J.
2001
, "
Stream of Variation Based Analysis and Synthesis of Measurement Schemes in Multi-Station Machining Systems
,"
ASME International Mechanical Engineering Congress and Exposition
(
IMECE
), New York, November. 11–16, pp.
297
–
304
.
238.
Huang Q. Zhou N. Shi J.
2000
, "
Stream of Variation Modeling and Diagnosis of Multi-Station Machining Processes
,"
ASME International Mechanical Engineering Congress and Exposition
(
IMECE
), Orlando, FL, Nov. 5–10, pp.
81
–
88
.
239.
Nguyen D. Due south.
2015
, "
Application of Bayesian Networks for Product Quality Management in a Multistage Manufacturing Process
,"
IEEE International Conference on Industrial Technology and Applied science Management
(
IEEM
), Singapore, Dec. vi–9, pp.
1402
–
1406
.
240.
Djurdjanovic D. Ni J.
2007
, "
Online Stochastic Control of Dimensional Quality in Multistation Manufacturing Systems
,"
Proc. Inst. Mech. Eng., Role B
,
221
(
5
), pp.
865
–
880
.
241.
Fenner J. South. Jeong M. Thou. Lu J.-C.
2005
, "
Optimal Automatic Command of Multistage Production Processes
,"
IEEE Trans. Semicondutor Manuf.
,
18
(
1
), pp.
94
–
103
.
242.
Wang P. Zhang D. Li Due south. Chen B.
2012
, "
Machining Error Control past Integrating Multivariate Statistical Process Control and Stream of Variations Methodology
,"
Chin. J. Aeronaut.
,
25
(
6
), pp.
937
–
947
.
244.
Li Fifty. You M. Ni J.
2009
, "
Reliability-Based Dynamic Maintenance Threshold for Failure Prevention of Continuously Monitored Degrading Systems
,"
ASME J. Manuf. Sci. Eng.
,
131
(
three
), p.
031010
.
245.
Sun J. Li L. Xi Fifty.
2012
, "
Modified Two-Stage Degradation Model for Dynamic Maintenance Threshold Adding Considering Uncertainty
,"
IEEE Trans. Autom. Sci. Eng.
,
9
(
1
), pp.
209
–
212
.
246.
Xia T. Xi 50. Zhou X. Lee J.
2012
, "
Dynamic Maintenance Decision-Making for Serial–Parallel Manufacturing Organisation Based on MAM–MTW Methodology
,"
Eur. J. Oper. Res.
,
221
(
i
), pp.
231
–
240
.
247.
Bashiri Thousand. Badri H. Hejazi T. H.
2011
, "
Selecting Optimum Maintenance Strategy past Fuzzy Interactive Linear Assignment Method
,"
Appl. Math. Modell.
,
35
(
1
), pp.
152
–
164
.
248.
You Chiliad.-Y. Liu F. Wang W. Meng G.
2010
, "
Statistically Planned and Individually Improved Predictive Maintenance Management for Continuously Monitored Degrading Systems
,"
IEEE Trans. Reliab.
,
59
(
four
), pp.
744
–
753
.
249.
Rafiee K. Feng Q. Coit D. W.
2015
, "
Status-Based Maintenance for Repairable Deteriorating Systems Subject field to a Generalized Mixed Stupor Model
,"
IEEE Trans. Reliab.
,
64
(
four
), pp.
1164
–
1174
.
250.
Fan H. Hu C. Chen M. Zhou D.
2011
, "
Cooperative Predictive Maintenance of Repairable Systems With Dependent Failure Modes and Resources Constraint
,"
IEEE Trans. Reliab.
,
threescore
(
1
), pp.
144
–
157
.
251.
You Grand.-Y. Li H. Meng Grand.
2011
, "
Control-Limit Preventive Maintenance Policies for Components Discipline to Imperfect Preventive Maintenance and Variable Operational Conditions
,"
Reliab. Eng. Syst. Safety
,
96
(
5
), pp.
590
–
598
.
252.
Wang X. Wang H. Qi C.
2016
, "
Multi-Amanuensis Reinforcement Learning Based Maintenance Policy for a Resource Constrained Flow Line Organization
,"
J. Intell. Manuf.
,
27
(
ii
), pp.
325
–
333
.
253.
KennƩ J. P. Gharbi A. Beit Thousand.
2007
, "
Age-Dependent Production Planning and Maintenance Strategies in Unreliable Manufacturing Systems With Lost Sale
,"
Eur. J. Oper. Res.
,
178
(
two
), pp.
408
–
420
.
254.
Li L. Chang Q. Ni J. Biller South.
2009
, "
Real Time Production Improvement Through Bottleneck Control
,"
Int. J. Prod. Res.
,
47
(
21
), pp.
6145
–
6158
.
255.
Costa A. Alfieri A. Matta A. Fischera South.
2015
, "
A Parallel Tabu Search for Solving the Primal Buffer Allocation Problem in Series Production Systems
,"
Comput. Oper. Res.
,
64
, pp.
97
–
112
.
256.
Karakas Due east. Koyuncu M. Erol R. Kokangul A.
2010
, "
Fuzzy Programming for Optimal Product Mix Decisions Based on Expanded ABC Approach
,"
Int. J. Prod. Res.
,
48
(
three
), pp.
729
–
744
.
257.
Jodlbauer H.
2008
, "
Client Driven Production Planning
,"
Int. J. Prod. Econ.
,
111
(
2
), pp.
793
–
801
.
258.
Liu X. Tu Y.
2008
, "
Production Planning With Limited Inventory Chapters and Immune Stockout
,"
Int. J. Prod. Econ.
,
111
(
1
), pp.
180
–
191
.
259.
Leung South. C. H. Tseng S. O. South. Ng W. L. Wu Y.
2007
, "
A Robust Optimization Model for Multi-Site Production Planning Problem in an Uncertain Environment
,"
Eur. J. Oper. Res.
,
181
(
1
), pp.
224
–
238
.
260.
Brahimi Due north. Tarik A. Aghezzaf E.-H.
2015
, "
Integrating Social club Credence Decisions With Flexible Due Dates in a Product Planning Model With Load-Dependent Pb Times
,"
Int. J. Prod. Res.
,
53
(
12
), pp.
3810
–
3822
.
261.
Xu L. Wang Q. Huang Due south.
2015
, "
Dynamic Order Acceptance and Scheduling Problem With Sequence-Dependent Setup Time
,"
Int. J. Prod. Res.
,
53
(
19
), pp.
5797
–
5808
.
262.
Shen J.-North. Wang 50. Wang S.-Y.
2015
, "
A Bi-Population EDA for Solving the No-Idle Permutation Menstruum-Shop Scheduling Problem With the Total Tardiness Criterion
,"
Knowl. Based Syst.
,
74
, pp.
167
–
175
.
263.
Lin S.-W. Ying M.-C.
2015
, "
Optimization of Makespan for No-Wait Flowshop Scheduling Problems Using Efficient Matheuristics
,"
Omega
,
64
, pp.
115
–
125
.
264.
Taillard E.
1990
, "
Some Efficient Heuristic Methods for the Flow Shop Sequencing Problem
,"
Eur. J. Oper. Res.
,
47
(
1
), pp.
65
–
74
.
265.
Fernandez-Viagas Five. Framinan J. M.
2015
, "
Efficient Non-Population-Based Algorithms for the Permutation Flowshop Scheduling Problem With Makespan Minimisation Subject field to a Maximum Tardiness
,"
Comput. Oper. Res.
,
64
, pp.
86
–
96
.
266.
Behnamian J. Ghomi F.
2011
, "
Hybrid Flowshop Scheduling With Machine and Resource-Dependent Processing Times
,"
Appl. Math. Modell.
,
35
(
3
), pp.
1107
–
1123
.
267.
Mansouri S. A. Aktas E. Besikci U.
2016
, "
Green Scheduling of a Ii-Machine Flowshop: Trade-off Betwixt Makespan and Free energy Consumption
,"
Eur. J. Oper. Res.
,
248
(
3
), pp.
772
–
788
.
268.
Jin X. Li L. Ni J.
2009
, "
Option Model for Joint Product and Preventive Maintenance System
,"
Int. J. Prod. Econ.
,
119
(
2
), pp.
347
–
353
.
269.
Nourelfath 1000. Nahas N. Ben-Daya Chiliad.
2016
, "
Integrated Preventive Maintenance and Production Decisions for Imperfect Processes
,"
Reliab. Eng. Syst. Safety
,
148
, pp.
21
–
31
.
270.
Xiao L. Song S. Chen X. Coit D. West.
2016
, "
Joint Optimization of Production Scheduling and Machine Group Preventive Maintenance
,"
Reliab. Eng. Syst. Safe
,
146
, pp.
68
–
78
.
271.
Xia T. Jin X. Ni J.
2015
, "
Production-Driven Opportunistic Maintenance for Batch Production Based on MAM–APB Scheduling
,"
Eur. J. Oper. Res.
,
240
(
3
), pp.
781
–
790
.
272.
Beheshti-Fakher H. Nourelfath M. Gendreau M.
2016
, "
Joint Planning of Production and Maintenance in a Single Machine Deteriorating System
,"
IFAC-PapersOnLine
,
49
(
12
), pp.
745
–
750
.
273.
Fitouhi M.-C. Nourelfath M.
2014
, "
Integrating Noncyclical Preventive Maintenance Scheduling and Production Planning for Multi-Land Systems
,"
Reliab. Eng. Syst. Saf.
,
121
, pp.
175
–
186
.
274.
Papakostas N. Michalos G. Makris Due south. Zouzias D. Chrisolouris Chiliad.
2011
, "
Industrial Applications With Cooperating Robots for Flexible the Assembly
,"
Int. J. Comput. Integr. Manuf.
,
24
(
7
), pp.
650
–
660
.
275.
Jonsson M. Ossbahr M.
2010
, "
Aspects of Reconfigurable and Flexible Fixtures
,"
Prod. Eng.
,
4
(
4
), pp.
333
–
339
.
276.
Wang K. Zhang C. Xu X.
2013
, "
A CNC System Based on Existent-Fourth dimension Ethernet and Windows NT
,"
Int. J. Adv. Manuf. Technol.
,
65
(
9
), pp.
1383
–
1395
.
277.
Xu X. Sheng Ten. Xiong Z. Zhu Ten.
2011
, "
Time-Stamped Cross-Coupled Control in Networked CNC Systems
,"
IEEE International Conference on Robotics and Automation
(
ICRA
), Shanghai, Mainland china, May 9–xiii, pp.
4378
–
4383
.
Yous exercise non currently have admission to this content.
Sign In
Purchase this Content
Source: https://asmedigitalcollection.asme.org/manufacturingscience/article/140/6/061010/366797/State-of-the-Art-Review-on-Process-System-and
Post a Comment for "2 The State of the Art in Fem Analysis Technology of the Machining Process"