An Enhanced Simulation-Based Multi-Objective Optimization Approach with Knowledge Discovery for Reconfigurable Manufacturing Systems
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Yoram Koren & Xi Gu & Weihong Guo, 2018. "Choosing the system configuration for high-volume manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 476-490, January.
- Kaisa Miettinen & Jussi Hakanen & Dmitry Podkopaev, 2016. "Interactive Nonlinear Multiobjective Optimization Methods," International Series in Operations Research & Management Science, in: Salvatore Greco & Matthias Ehrgott & José Rui Figueira (ed.), Multiple Criteria Decision Analysis, edition 2, chapter 0, pages 927-976, Springer.
- Shokraneh K. Moghaddam & Mahmoud Houshmand & Kazuhiro Saitou & Omid Fatahi Valilai, 2020. "Configuration design of scalable reconfigurable manufacturing systems for part family," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2974-2996, May.
- Zhicong Kou & Lifeng Xi, 2018. "Binary Particle Swarm Optimization-Based Association Rule Mining for Discovering Relationships between Machine Capabilities and Product Features," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-16, October.
- Yoram Koren & Wencai Wang & Xi Gu, 2017. "Value creation through design for scalability of reconfigurable manufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1227-1242, March.
- Dimitris Mourtzis, 2020. "Simulation in the design and operation of manufacturing systems: state of the art and new trends," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 1927-1949, April.
- Faycal A. Touzout & Lyes Benyoucef, 2019. "Multi-objective multi-unit process plan generation in a reconfigurable manufacturing environment: a comparative study of three hybrid metaheuristics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(24), pages 7520-7535, December.
- Shokraneh K. Moghaddam & Mahmoud Houshmand & Omid Fatahi Valilai, 2018. "Configuration design in scalable reconfigurable manufacturing systems (RMS); a case of single-product flow line (SPFL)," International Journal of Production Research, Taylor & Francis Journals, vol. 56(11), pages 3932-3954, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Delorme, Xavier & Cerqueus, Audrey & Gianessi, Paolo & Lamy, Damien, 2023. "RMS balancing and planning under uncertain demand and energy cost considerations," International Journal of Production Economics, Elsevier, vol. 261(C).
- Weckenborg, Christian & Schumacher, Patrick & Thies, Christian & Spengler, Thomas S., 2024. "Flexibility in manufacturing system design: A review of recent approaches from Operations Research," European Journal of Operational Research, Elsevier, vol. 315(2), pages 413-441.
- Gaurav Kumar & Kapil Kumar Goyal & Neel Kamal Batra & Deepika Rani, 2022. "Single part reconfigurable flow line design using fuzzy best worst method," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 603-631, June.
- Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
- He, Jigang & Gao, Hongli & Li, Shichao & Guo, Liang & Lei, Yuncong & Cao, Ao, 2024. "An intelligent maintenance decision-making based on cutters economic life," International Journal of Production Economics, Elsevier, vol. 267(C).
- Huan Shao & Aiping Li & Liyun Xu & Giovanni Moroni, 2019. "Scalability in manufacturing systems: a hybridized GA approach," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1859-1879, April.
- Argyris, Nikolaos & Karsu, Özlem & Yavuz, Mirel, 2022. "Fair resource allocation: Using welfare-based dominance constraints," European Journal of Operational Research, Elsevier, vol. 297(2), pages 560-578.
- Barbati, Maria & Greco, Salvatore & Kadziński, Miłosz & Słowiński, Roman, 2018. "Optimization of multiple satisfaction levels in portfolio decision analysis," Omega, Elsevier, vol. 78(C), pages 192-204.
- Yuming Guo, 2023. "Towards the efficient generation of variant design in product development networks: network nodes importance based product configuration evaluation approach," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 615-631, February.
- Annarelli, Alessandro & Battistella, Cinzia & Nonino, Fabio & Parida, Vinit & Pessot, Elena, 2021. "Literature review on digitalization capabilities: Co-citation analysis of antecedents, conceptualization and consequences," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
- Bustinza, Oscar F. & Opazo-Basaez, Marco & Tarba, Shlomo, 2022. "Exploring the interplay between Smart Manufacturing and KIBS firms in configuring product-service innovation performance," Technovation, Elsevier, vol. 118(C).
- Dolgui, Alexandre & Hashemi-Petroodi, S. Ehsan & Kovalev, Sergey & Kovalyov, Mikhail Y., 2021. "Profitability of a multi-model manufacturing line versus multiple dedicated lines," International Journal of Production Economics, Elsevier, vol. 236(C).
- Finke, Jonas & Bertsch, Valentin, 2022. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," MPRA Paper 115504, University Library of Munich, Germany.
- Marcello Colledani & Anteneh Yemane & Giovanni Lugaresi & Giovanni Borzi & Daniele Callegaro, 2018. "A software platform for supporting the design and reconfiguration of versatile assembly systems," Post-Print hal-03880599, HAL.
- Davide Berardi & Franco Callegati & Andrea Giovine & Andrea Melis & Marco Prandini & Lorenzo Rinieri, 2023. "When Operation Technology Meets Information Technology: Challenges and Opportunities," Future Internet, MDPI, vol. 15(3), pages 1-16, February.
- Sihan Huang & Guoxin Wang & Shiqi Nie & Bin Wang & Yan Yan, 2023. "Part family formation method for delayed reconfigurable manufacturing system based on machine learning," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2849-2863, August.
- Bhupinder Singh Saini & Michael Emmerich & Atanu Mazumdar & Bekir Afsar & Babooshka Shavazipour & Kaisa Miettinen, 2022. "Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations," Journal of Global Optimization, Springer, vol. 83(4), pages 865-889, August.
- František Čapkovič, 2023. "Dealing with Deadlocks in Industrial Multi Agent Systems," Future Internet, MDPI, vol. 15(3), pages 1-25, March.
- Seyyed Amir Babak Rasmi & Ali Fattahi & Metin Türkay, 2021. "SASS: slicing with adaptive steps search method for finding the non-dominated points of tri-objective mixed-integer linear programming problems," Annals of Operations Research, Springer, vol. 296(1), pages 841-876, January.
- Dimitris Mourtzis & John Angelopoulos & Nikos Panopoulos, 2022. "A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0," Energies, MDPI, vol. 15(17), pages 1-29, August.
More about this item
Keywords
reconfigurable manufacturing system; simulation; multi-objective optimization; knowledge discovery;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1527-:d:1103339. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.