A simulation‐based integrated virtual testbed for dynamic optimization in smart manufacturing systems

Sun, Yuting; Tu, Jiachen; Bragin, Mikhail; Zhang, Liang

doi:10.1002/amp2.10141

Title: A simulation‐based integrated virtual testbed for dynamic optimization in smart manufacturing systems

Journal Article · 07 August 2022 · Journal of Advanced Manufacturing and Processing

DOI: https://doi.org/10.1002/amp2.10141 · OSTI ID:1893207

^[1]; Tu, Jiachen ^[1];

^[1];

^[1]

Department of Electrical and Computer Engineering University of Connecticut Storrs Connecticut USA

Abstract In a manufacturing system, production control‐related decision‐making activities occur at different levels. At the process level, one of the main control activities is to tune the parameters of individual manufacturing equipment. At the system level, the main activity is to coordinate production resources and to route parts to appropriate workstations based on their processing requirement, priority indices, and control policy. At the factory level, the goal is to plan and schedule the processing of parts at different operations for the entire system in order to optimize certain objectives. Note that the results of such activities at different levels are closely coupled and affect the overall performance of the manufacturing system as a whole. Therefore, it is important to systematically integrate these control and optimization activities into one unified platform to ensure the goal of each individual activity is aligned with the overall performance of the system. In this paper, we develop a simulation‐based virtual testbed that implements dynamic optimization, automatic information exchange, and decision‐making from the process‐level, system‐level, and factory‐level of a manufacturing system into an integrated computation environment. This is demonstrated by connecting a Python‐based numerical computation program, discrete‐event simulation software (Simul8), and an optimization solver (CPLEX) via a third‐party master program. The application of this simulation‐based virtual testbed is illustrated by a case study in a machining shop.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: EE0007613

OSTI ID:: 1893207

Journal Information:: Journal of Advanced Manufacturing and Processing, Journal Name: Journal of Advanced Manufacturing and Processing Journal Issue: 4 Vol. 4; ISSN 2637-403X

Publisher:: Wiley Blackwell (John Wiley & Sons)Copyright Statement

Country of Publication:: United States

Language:: English

References (45)

An integrated framework for scheduling and control using fast model predictive control Zhuge, Jinjun; Ierapetritou, Marianthi G. AIChE Journal, Vol. 61, Issue 10 https://doi.org/10.1002/aic.14914	journal	July 2015
IBM ILOG CPLEX Optimization Studio Nickel, Stefan; Steinhardt, Claudius; Schlenker, Hans Angewandte Optimierung mit IBM ILOG CPLEX Optimization Studio https://doi.org/10.1007/978-3-662-62185-1_2	book	August 2020
Development of a tool wear observer model for online tool condition monitoring and control in machining nickel-based alloys Chen, X. Q.; Li, H. Z. The International Journal of Advanced Manufacturing Technology, Vol. 45, Issue 7-8 https://doi.org/10.1007/s00170-009-2003-1	journal	March 2009
On a generalized approach to manufacturing energy efficiency Fysikopoulos, Apostolos; Pastras, Georgios; Alexopoulos, Theocharis The International Journal of Advanced Manufacturing Technology, Vol. 73, Issue 9-12 https://doi.org/10.1007/s00170-014-5818-3	journal	May 2014
Two-stage teaching-learning-based optimization method for flexible job-shop scheduling under machine breakdown Buddala, Raviteja; Mahapatra, Siba Sankar The International Journal of Advanced Manufacturing Technology, Vol. 100, Issue 5-8 https://doi.org/10.1007/s00170-018-2805-0	journal	October 2018
Smart manufacturing systems: state of the art and future trends Qu, Y. J.; Ming, X. G.; Liu, Z. W. The International Journal of Advanced Manufacturing Technology, Vol. 103, Issue 9-12 https://doi.org/10.1007/s00170-019-03754-7	journal	May 2019
An improved ant colony algorithm for dynamic hybrid flow shop scheduling with uncertain processing time Qin, W.; Zhang, J.; Song, D. Journal of Intelligent Manufacturing, Vol. 29, Issue 4 https://doi.org/10.1007/s10845-015-1144-3	journal	September 2015
Convergence of the Surrogate Lagrangian Relaxation Method Bragin, Mikhail A.; Luh, Peter B.; Yan, Joseph H. Journal of Optimization Theory and Applications, Vol. 164, Issue 1 https://doi.org/10.1007/s10957-014-0561-3	journal	April 2014
Hybrid flow shop scheduling with sequence dependent family setup time and uncertain due dates Ebrahimi, M.; Fatemi Ghomi, S. M. T.; Karimi, B. Applied Mathematical Modelling, Vol. 38, Issue 9-10 https://doi.org/10.1016/j.apm.2013.10.061	journal	May 2014
Cost-effective supervisory control system in peripheral milling using HSM Vallejo, Antonio J.; Morales-Menendez, Ruben Annual Reviews in Control, Vol. 34, Issue 1 https://doi.org/10.1016/j.arcontrol.2009.05.008	journal	April 2010
Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels Jayal, A. D.; Badurdeen, F.; Dillon, O. W. CIRP Journal of Manufacturing Science and Technology, Vol. 2, Issue 3 https://doi.org/10.1016/j.cirpj.2010.03.006	journal	January 2010
A simulation-based optimization framework for integrating scheduling and model predictive control, and its application to air separation units Dias, Lisia S.; Pattison, Richard C.; Tsay, Calvin Computers & Chemical Engineering, Vol. 113 https://doi.org/10.1016/j.compchemeng.2018.03.009	journal	May 2018
Data driven production modeling and simulation of complex automobile general assembly plant Wang, Junfeng; Chang, Qing; Xiao, Guoxian Computers in Industry, Vol. 62, Issue 7 https://doi.org/10.1016/j.compind.2011.05.004	journal	September 2011
Mixed Integer Programming models for job shop scheduling: A computational analysis Ku, Wen-Yang; Beck, J. Christopher Computers & Operations Research, Vol. 73 https://doi.org/10.1016/j.cor.2016.04.006	journal	September 2016
A meta-heuristic to solve the just-in-time job-shop scheduling problem Ahmadian, Mohammad Mahdi; Salehipour, Amir; Cheng, T. C. E. European Journal of Operational Research, Vol. 288, Issue 1 https://doi.org/10.1016/j.ejor.2020.04.017	journal	January 2021
Exploiting soft constraints within decomposition and coordination methods for sub-hourly unit commitment Raghunathan, Niranjan; Bragin, Mikhail A.; Yan, Bing International Journal of Electrical Power & Energy Systems, Vol. 139 https://doi.org/10.1016/j.ijepes.2022.108023	journal	July 2022
Robust and stable flexible job shop scheduling with random machine breakdowns using a hybrid genetic algorithm Al-Hinai, Nasr; ElMekkawy, T. Y. International Journal of Production Economics, Vol. 132, Issue 2 https://doi.org/10.1016/j.ijpe.2011.04.020	journal	August 2011
Industry 4.0: A survey on technologies, applications and open research issues Lu, Yang Journal of Industrial Information Integration, Vol. 6 https://doi.org/10.1016/j.jii.2017.04.005	journal	June 2017
Physics-based modeling and information-theoretic sensor and settings selection for tool wear detection in precision machining Awasthi, Utsav; Wang, Zhigang; Mannan, Nasir Journal of Manufacturing Processes, Vol. 81 https://doi.org/10.1016/j.jmapro.2022.06.027	journal	September 2022
A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs) Mittal, Sameer; Khan, Muztoba Ahmad; Romero, David Journal of Manufacturing Systems, Vol. 49 https://doi.org/10.1016/j.jmsy.2018.10.005	journal	October 2018
Hybrid non-linear model predictive control of a run-of-mine ore grinding mill circuit Botha, S.; le Roux, J. D.; Craig, I. K. Minerals Engineering, Vol. 123 https://doi.org/10.1016/j.mineng.2018.04.016	journal	July 2018
Energy Efficiency of Manufacturing Processes: A Critical Review Apostolos, Fysikopoulos; Alexios, Papacharalampopoulos; Georgios, Pastras Procedia CIRP, Vol. 7 https://doi.org/10.1016/j.procir.2013.06.044	journal	January 2013
Modelling of Energy Consumption for Milling of Circular Geometry Pawar, S. S.; Bera, T. C.; Sangwan, K. S. Procedia CIRP, Vol. 98 https://doi.org/10.1016/j.procir.2021.01.136	journal	January 2021
Model predictive control based active chatter control in milling process Li, Denghui; Cao, Hongrui; Zhang, Xingwu Mechanical Systems and Signal Processing, Vol. 128 https://doi.org/10.1016/j.ymssp.2019.03.047	journal	August 2019
The use of the WITNESS simulator for improving flows in a complex production system Michlowicz, Edward; Smolińska, Katarzyna AIP Conference Proceedings https://doi.org/10.1063/1.5092065	conference	January 2019
Flexible job-shop scheduling problem with resource recovery constraints Vallikavungal Devassia, Jobish; Salazar-Aguilar, M. Angélica; Boyer, Vincent International Journal of Production Research, Vol. 56, Issue 9 https://doi.org/10.1080/00207543.2017.1420262	journal	January 2018
Serial production lines with geometric machines and finite production runs: performance analysis and system-theoretic properties Jia, Zhiyang; Zhang, Liang International Journal of Production Research, Vol. 57, Issue 8 https://doi.org/10.1080/00207543.2018.1513658	journal	August 2018
Transient analysis of Bernoulli serial lines: performance evaluation and system-theoretic properties Zhang, Liang; Wang, Chuanfeng; Arinez, Jorge IIE Transactions, Vol. 45, Issue 5 https://doi.org/10.1080/0740817X.2012.721946	journal	May 2013
Ciw: An open-source discrete event simulation library Palmer, Geraint I.; Knight, Vincent A.; Harper, Paul R. Journal of Simulation, Vol. 13, Issue 1 https://doi.org/10.1080/17477778.2018.1473909	journal	March 2018
Simulation of a Manufacturing Assembly Line Based on WITNESS Mirzapourrezaei, Seyed Ali; Lalmazloumian, Morteza; Dargi, Ahmad 2011 Third International Conference on Computational Intelligence, Communication Systems and Networks https://doi.org/10.1109/CICSyN.2011.38	conference	July 2011
Transient Performance Analysis of Closed Production Lines With Bernoulli Machines, Finite Buffers, and Carriers Jia, Zhiyang; Zhang, Liang IEEE Robotics and Automation Letters, Vol. 2, Issue 4 https://doi.org/10.1109/LRA.2017.2713247	journal	October 2017
Novel Formulation and Resolution of Job-Shop Scheduling Problems Yan, Bing; Bragin, Mikhail A.; Luh, Peter B. IEEE Robotics and Automation Letters, Vol. 3, Issue 4 https://doi.org/10.1109/LRA.2018.2850056	journal	October 2018
A Novel Integer Linear Programming Formulation for Job-Shop Scheduling Problems Liu, Anbang; Luh, Peter B.; Yan, Bing IEEE Robotics and Automation Letters, Vol. 6, Issue 3 https://doi.org/10.1109/LRA.2021.3086422	journal	July 2021
Transient Performance Analysis of Serial Production Lines With Geometric Machines Chen, Guorong; Wang, Chuanfeng; Zhang, Liang IEEE Transactions on Automatic Control, Vol. 61, Issue 4 https://doi.org/10.1109/TAC.2015.2444071	journal	April 2016
A Scalable Solution Methodology for Mixed-Integer Linear Programming Problems Arising in Automation Bragin, Mikhail A.; Luh, Peter B.; Yan, Bing IEEE Transactions on Automation Science and Engineering, Vol. 16, Issue 2 https://doi.org/10.1109/TASE.2018.2835298	journal	April 2019
Transient Analysis of Multiproduct Bernoulli Serial Lines With Setups Wang, Mengyue; Huang, Hongxuan; Li, Jingshan IEEE Transactions on Automation Science and Engineering, Vol. 18, Issue 1 https://doi.org/10.1109/TASE.2019.2963145	journal	January 2021
Parameter Identification for Bernoulli Serial Production Line Model Sun, Yuting; Zhu, Tianyu; Zhang, Liang IEEE Transactions on Automation Science and Engineering, Vol. 18, Issue 4 https://doi.org/10.1109/TASE.2020.3035291	journal	October 2021
Systems Simulation: The Art and Science Shannon, Robert; Johannes, James D. IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-6, Issue 10 https://doi.org/10.1109/TSMC.1976.4309432	journal	October 1976
Simul8-Planner for Composites Manufacturing Hindle, Kim; Duffin, Matt Proceedings of the 2006 Winter Simulation Conference https://doi.org/10.1109/WSC.2006.322955	conference	December 2006
Multi criteria preventive maintenance scheduling through Arena based simulation modeling Altuger, Gonca; Chassapis, Constantin Proceedings of the 2009 Winter Simulation Conference (WSC) https://doi.org/10.1109/WSC.2009.5429668	conference	December 2009
Introduction to simulation Ingalls, Ricki G. Proceedings of the 2011 Winter Simulation Conference (WSC) https://doi.org/10.1109/WSC.2011.6147858	conference	December 2011
Potential of data-driven simulation-based optimization for adaptive scheduling and control of dynamic manufacturing systems Kuck, Mirko; Ehm, Jens; Hildebrandt, Torsten 2016 Winter Simulation Conference (WSC) https://doi.org/10.1109/WSC.2016.7822318	conference	December 2016
Exploring Alternatives in an Automotive Industry Job Shop Using Simulation Williams, Edward J.; VanBelle, Ryan SIMULATION, Vol. 81, Issue 9 https://doi.org/10.1177/0037549704047605	journal	September 2005
Determination of Optimal Production Process Using Scheduling and Simulation Software Duplakova, D.; Teliskova, M.; Duplak, J. International Journal of Simulation Modelling, Vol. 17, Issue 4 https://doi.org/10.2507/IJSIMM17(4)447	journal	December 2018
Flow-shop scheduling problem under uncertainties: Review and trends González-Neira, Eliana María; Montoya-Torres, Jairo R.; Barrera, David International Journal of Industrial Engineering Computations https://doi.org/10.5267/j.ijiec.2017.2.001	journal	January 2017

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