Skip to main content

23.03.2024

Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework: turnkey project-oriented rapid manufacturing system configuration

verfasst von: Shu-Lian Xie, Feng Xue, Wei-Min Zhang, Jia-Wei Zhu, Zi-Wei Jia

Erschienen in: Advances in Manufacturing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In the context of increasingly prominent product personalization and customization trends, intelligent manufacturing-oriented turnkey projects can provide manufacturers with fast and convenient turnkey services for manufacturing systems. Their key characteristic is the transformation of the traditional design process into a configuration process. However, the scope of configuration resources in existing research is limited; the cost and time required for manufacturing system construction are overlooked; and the integration of the system layout configuration is rarely considered, making it difficult to meet the manufacturing system configuration requirements of turnkey projects. In response, this study establishes a multi-factor integrated rapid configuration model and proposes a solution method for manufacturing systems based on the requirements of turnkey projects. The configuration model considers the system construction cost and duration and the product manufacturing cost and duration, as optimization objectives. The differences in product feature-dividing schemes and configuration of processes, equipment, tools, fixtures, and layouts were considered simultaneously. The proposed model-solving method is a three-layer hybrid optimization algorithm framework with two optimization algorithm modules and an intermediate algorithm module. Four hybrid configuration algorithms are established based on non-dominated sorting genetic algorithm-III (NSGAIII), non-dominated sorting genetic algorithm-II (NSGAII), multi-objective simulated annealing (MOSA), multi-objective neighborhood search (MONS), and tabu search (TS). These algorithms are compared and validated through a hydraulic valve block production case, and the TS and NSGAIII (TS-NSGAIII) hybrid algorithm exhibits the best performance. This case demonstrates the effectiveness of the proposed model and solution method.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Sabioni RC, Daaboul J, Le Duigou J (2021) An integrated approach to optimize the configuration of mass-customized products and reconfigurable manufacturing systems. Int J Adv Manuf Technol 115:141–163CrossRef Sabioni RC, Daaboul J, Le Duigou J (2021) An integrated approach to optimize the configuration of mass-customized products and reconfigurable manufacturing systems. Int J Adv Manuf Technol 115:141–163CrossRef
2.
Zurück zum Zitat Eynaud ABD, Klement N, Roucoules L et al (2022) Framework for the design and evaluation of a reconfigurable production system based on movable robot integration. Int J Adv Manuf Technol 118:2373–2389CrossRef Eynaud ABD, Klement N, Roucoules L et al (2022) Framework for the design and evaluation of a reconfigurable production system based on movable robot integration. Int J Adv Manuf Technol 118:2373–2389CrossRef
4.
Zurück zum Zitat Shivdas R, Sapkal S (2023) Proposed composite similarity metric method for part family formation in reconfigurable manufacturing system. Int J Adv Manuf Technol 125:2535–2548CrossRef Shivdas R, Sapkal S (2023) Proposed composite similarity metric method for part family formation in reconfigurable manufacturing system. Int J Adv Manuf Technol 125:2535–2548CrossRef
5.
Zurück zum Zitat Koren Y, Heisel U, Jovane F et al (1999) Reconfigurable manufacturing systems. CIRP Ann 48:527–540CrossRef Koren Y, Heisel U, Jovane F et al (1999) Reconfigurable manufacturing systems. CIRP Ann 48:527–540CrossRef
6.
Zurück zum Zitat Bennulf M, Danielsson F, Svensson B et al (2021) Goal-oriented process plans in a multiagent system for plug & produce. IEEE Trans Ind Inf 17:2411–2421CrossRef Bennulf M, Danielsson F, Svensson B et al (2021) Goal-oriented process plans in a multiagent system for plug & produce. IEEE Trans Ind Inf 17:2411–2421CrossRef
7.
Zurück zum Zitat Dahmani A, Benyoucef L, Mercantini JM (2022) Toward sustainable reconfigurable manufacturing systems (SRMS): past, present, and future. Procedia Comput Sci 200:1605–1614CrossRef Dahmani A, Benyoucef L, Mercantini JM (2022) Toward sustainable reconfigurable manufacturing systems (SRMS): past, present, and future. Procedia Comput Sci 200:1605–1614CrossRef
10.
Zurück zum Zitat Zhang Y, Yu X, Sun J et al (2022) Intelligent STEP-NC-compliant setup planning method. J Manuf Syst 62:62–75CrossRef Zhang Y, Yu X, Sun J et al (2022) Intelligent STEP-NC-compliant setup planning method. J Manuf Syst 62:62–75CrossRef
13.
Zurück zum Zitat Gönnheimer P, Kimmig A, Mandel C et al (2019) Methodical approach for the development of a platform for the configuration and operation of turnkey production systems. Procedia CIRP 84:880–885CrossRef Gönnheimer P, Kimmig A, Mandel C et al (2019) Methodical approach for the development of a platform for the configuration and operation of turnkey production systems. Procedia CIRP 84:880–885CrossRef
14.
15.
Zurück zum Zitat Sabioni RC, Daaboul J, Le Duigou J (2022) Concurrent optimisation of modular product and reconfigurable manufacturing system configuration: a customer-oriented offer for mass customisation. Int J Prod Res 60:2275–2291CrossRef Sabioni RC, Daaboul J, Le Duigou J (2022) Concurrent optimisation of modular product and reconfigurable manufacturing system configuration: a customer-oriented offer for mass customisation. Int J Prod Res 60:2275–2291CrossRef
16.
Zurück zum Zitat Hou SX, Gao J, Wang C (2022) Design for mass customisation, design for manufacturing, and design for supply chain: a review of the literature. IET Collab Intell Manuf 4:1–16CrossRef Hou SX, Gao J, Wang C (2022) Design for mass customisation, design for manufacturing, and design for supply chain: a review of the literature. IET Collab Intell Manuf 4:1–16CrossRef
17.
Zurück zum Zitat Wang Y, Li X (2021) Mining product reviews for needs-based product configurator design: a transfer learning-based approach. IEEE Trans Ind Inf 17:6192–6199CrossRef Wang Y, Li X (2021) Mining product reviews for needs-based product configurator design: a transfer learning-based approach. IEEE Trans Ind Inf 17:6192–6199CrossRef
19.
Zurück zum Zitat Yoo JJW (2023) Computational modular system configuration with backward compatibility. Int J Adv Manuf Technol 125:3349–3362CrossRef Yoo JJW (2023) Computational modular system configuration with backward compatibility. Int J Adv Manuf Technol 125:3349–3362CrossRef
20.
Zurück zum Zitat da Cunha C, Cardin O, Gallot G et al (2021) Designing the digital twins of reconfigurable manufacturing systems: application on a smart factory. IFAC PapersOnline 54(1):874–879CrossRef da Cunha C, Cardin O, Gallot G et al (2021) Designing the digital twins of reconfigurable manufacturing systems: application on a smart factory. IFAC PapersOnline 54(1):874–879CrossRef
21.
Zurück zum Zitat Ameer M, Dahane M (2021) Reconfiguration effort based optimization for design problem of reconfigurable manufacturing system. Procedia Comput Sci 200:1264–1273CrossRef Ameer M, Dahane M (2021) Reconfiguration effort based optimization for design problem of reconfigurable manufacturing system. Procedia Comput Sci 200:1264–1273CrossRef
22.
Zurück zum Zitat Kutin A, Turkin M, Kliuev M (2021) Multivariate manufacturing process planning for aircraft airframe production based on weighted criteria analysis. Int J Adv Manuf Technol 117:2263–2268CrossRef Kutin A, Turkin M, Kliuev M (2021) Multivariate manufacturing process planning for aircraft airframe production based on weighted criteria analysis. Int J Adv Manuf Technol 117:2263–2268CrossRef
23.
Zurück zum Zitat Gonnermann C, Hashemi-Petroodi SE, Thevenin S et al (2022) A skill- and feature-based approach to planning process monitoring in assembly planning. Int J Adv Manuf Technol 122:2645–2670CrossRef Gonnermann C, Hashemi-Petroodi SE, Thevenin S et al (2022) A skill- and feature-based approach to planning process monitoring in assembly planning. Int J Adv Manuf Technol 122:2645–2670CrossRef
25.
Zurück zum Zitat Mansour H, Afefy IH, Taha SM (2023) Simultaneous layout design optimization with the scalable reconfigurable manufacturing system. Prod Eng-Res Dev 17:565–573. CrossRef Mansour H, Afefy IH, Taha SM (2023) Simultaneous layout design optimization with the scalable reconfigurable manufacturing system. Prod Eng-Res Dev 17:565–573. CrossRef
27.
Zurück zum Zitat Yazdani MA, Khezri A, Benyoucef L (2022) Process and production planning for sustainable reconfigurable manufacturing systems (SRMSs): multi-objective exact and heuristic-based approaches. Int J Adv Manuf Technol 119:4519–4540CrossRef Yazdani MA, Khezri A, Benyoucef L (2022) Process and production planning for sustainable reconfigurable manufacturing systems (SRMSs): multi-objective exact and heuristic-based approaches. Int J Adv Manuf Technol 119:4519–4540CrossRef
30.
Zurück zum Zitat Zhang CX, Dong SL, Chu HY et al (2021) Layout design of a mixed-flow production line based on processing energy consumption and buffer configuration. Adv Manuf 9:369–387CrossRef Zhang CX, Dong SL, Chu HY et al (2021) Layout design of a mixed-flow production line based on processing energy consumption and buffer configuration. Adv Manuf 9:369–387CrossRef
31.
Zurück zum Zitat Zeid IB, Doh HH, Shin JH et al (2021) Fast and meta heuristics for part selection in flexible manufacturing systems with controllable processing times. Proc Inst Mech Eng Part B-J Eng Manuf 235(4):650–662CrossRef Zeid IB, Doh HH, Shin JH et al (2021) Fast and meta heuristics for part selection in flexible manufacturing systems with controllable processing times. Proc Inst Mech Eng Part B-J Eng Manuf 235(4):650–662CrossRef
33.
Zurück zum Zitat Khettabi I, Benyoucef L, Boutiche MA (2021) Sustainable reconfigurable manufacturing system design using adapted multi-objective evolutionary-based approaches. Int J Adv Manuf Technol 115:3741–3759CrossRef Khettabi I, Benyoucef L, Boutiche MA (2021) Sustainable reconfigurable manufacturing system design using adapted multi-objective evolutionary-based approaches. Int J Adv Manuf Technol 115:3741–3759CrossRef
35.
Zurück zum Zitat Battaia O, Dolgui A, Guschinsky N (2021) Design of reconfigurable machining lines: a novel comprehensive optimisation method. CIRP Ann Manuf Technol 70:393–398CrossRef Battaia O, Dolgui A, Guschinsky N (2021) Design of reconfigurable machining lines: a novel comprehensive optimisation method. CIRP Ann Manuf Technol 70:393–398CrossRef
37.
Zurück zum Zitat Luo S, Zhang LX, Fan YS (2022) Real-time scheduling for dynamic partial-no-wait multiobjective flexible job shop by deep reinforcement learning. IEEE Trans Autom Sci Eng 19:3020–3038CrossRef Luo S, Zhang LX, Fan YS (2022) Real-time scheduling for dynamic partial-no-wait multiobjective flexible job shop by deep reinforcement learning. IEEE Trans Autom Sci Eng 19:3020–3038CrossRef
38.
Zurück zum Zitat Han Y, Chen X, Xu M et al (2021) A multi-objective flexible job-shop cell scheduling problem with sequence-dependent family setup times and intercellular transportation by improved NSGA-II. Proc Inst Mech Eng Part B– J Eng Manuf 236:540–556CrossRef Han Y, Chen X, Xu M et al (2021) A multi-objective flexible job-shop cell scheduling problem with sequence-dependent family setup times and intercellular transportation by improved NSGA-II. Proc Inst Mech Eng Part B– J Eng Manuf 236:540–556CrossRef
40.
Zurück zum Zitat Dou J, Su C, Zhao X (2020) Mixed integer programming models for concurrent configuration design and scheduling in a reconfigurable manufacturing system. Concurrent Eng 28:32–46CrossRef Dou J, Su C, Zhao X (2020) Mixed integer programming models for concurrent configuration design and scheduling in a reconfigurable manufacturing system. Concurrent Eng 28:32–46CrossRef
41.
Zurück zum Zitat Dou J, Li J, Xia D et al (2020) A multi-objective particle swarm optimisation for integrated configuration design and scheduling in reconfigurable manufacturing system. Int J Prod Res 59:3975–3995CrossRef Dou J, Li J, Xia D et al (2020) A multi-objective particle swarm optimisation for integrated configuration design and scheduling in reconfigurable manufacturing system. Int J Prod Res 59:3975–3995CrossRef
42.
Zurück zum Zitat Moussa M, ElMaraghy H (2021) Multiple platforms design and product family process planning for combined additive and subtractive manufacturing. J Manuf Syst 61:509–529CrossRef Moussa M, ElMaraghy H (2021) Multiple platforms design and product family process planning for combined additive and subtractive manufacturing. J Manuf Syst 61:509–529CrossRef
47.
Zurück zum Zitat Zhou BH, Shen CY (2018) Multi-objective optimization of material delivery for mixed model assembly lines with energy consideration. J Cleaner Prod 192:293–305CrossRef Zhou BH, Shen CY (2018) Multi-objective optimization of material delivery for mixed model assembly lines with energy consideration. J Cleaner Prod 192:293–305CrossRef
48.
Zurück zum Zitat While L, Hingston P, Barone L et al (2006) A faster algorithm for calculating hypervolume. IEEE Trans Evol Comput 10:29–38CrossRef While L, Hingston P, Barone L et al (2006) A faster algorithm for calculating hypervolume. IEEE Trans Evol Comput 10:29–38CrossRef
Metadaten
Titel
Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework: turnkey project-oriented rapid manufacturing system configuration
verfasst von
Shu-Lian Xie
Feng Xue
Wei-Min Zhang
Jia-Wei Zhu
Zi-Wei Jia
Publikationsdatum
23.03.2024
Verlag
Shanghai University
Erschienen in
Advances in Manufacturing
Print ISSN: 2095-3127
Elektronische ISSN: 2195-3597
DOI
https://doi.org/10.1007/s40436-023-00476-8

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.