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2012 | OriginalPaper | Buchkapitel

10. Application of Particle Swarm Optimization in the Decision-Making of Manufacturers’ Production and Delivery

verfasst von : Lingxiao Yang, Liangyou Shu

Erschienen in: Electrical, Information Engineering and Mechatronics 2011

Verlag: Springer London

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Abstract

The aim of this paper is to study the loading decision problem in manufacturer’s product distribution. Owing to the order fulfillment optimization condition of the manufacturer, the decision-making model of manufacturers’ production and delivery has been founded. This paper has given out the algorithm finding the solution based on particle swarm optimization. The results indicate that the decision-making of manufacturers’ production and delivery is a complicated N-P decision-making problem and finding the solution is also very difficult. The solving algorithm based on particle swarm optimization is effective to the model of this paper.

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Literatur
1.
Zurück zum Zitat Sabri EH, Beamon BM (2000) A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega 28:581–598CrossRef Sabri EH, Beamon BM (2000) A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega 28:581–598CrossRef
2.
Zurück zum Zitat Marsh J, Hole D (1996) Re-designing a complex multi-customer supply chain. Logist Inf Manag 9:223–249 Marsh J, Hole D (1996) Re-designing a complex multi-customer supply chain. Logist Inf Manag 9:223–249
3.
Zurück zum Zitat Arntzen C, Brown G, Harrison TP (1995) Global supply chain management at digital equipment corporation. Interfaces 25:56–89CrossRef Arntzen C, Brown G, Harrison TP (1995) Global supply chain management at digital equipment corporation. Interfaces 25:56–89CrossRef
4.
Zurück zum Zitat Bowersox DJ, Stank TP, Daugherty PJ (1999) Lean launch managing product introduction risk through response-based logistics. J Prod Innov Manag 16:557–568CrossRef Bowersox DJ, Stank TP, Daugherty PJ (1999) Lean launch managing product introduction risk through response-based logistics. J Prod Innov Manag 16:557–568CrossRef
5.
Zurück zum Zitat Weeks D, Crawford FA (1994) Efficient consumer response: a mandate for food manufacturers? Food Process 55:312–354 Weeks D, Crawford FA (1994) Efficient consumer response: a mandate for food manufacturers? Food Process 55:312–354
6.
Zurück zum Zitat Kurnia S, Johnston RB (2001) Adoption of efficient consumer response: the issue of mutuality. Supply Chain Manag 6:230–241CrossRef Kurnia S, Johnston RB (2001) Adoption of efficient consumer response: the issue of mutuality. Supply Chain Manag 6:230–241CrossRef
7.
Zurück zum Zitat Lohtia R, Xie FT, Subramaniam R (2004) Efficient consumer response in Japan: industry concerns, current status, benefits, and barriers to implementation. J Bus Res 57:306–311CrossRef Lohtia R, Xie FT, Subramaniam R (2004) Efficient consumer response in Japan: industry concerns, current status, benefits, and barriers to implementation. J Bus Res 57:306–311CrossRef
8.
Zurück zum Zitat Shu L, Yang L (2009) Order fulfillment optimization model of manufactures based on time competition. In: International conference of management science and information system, vol 3, pp 393–396 Shu L, Yang L (2009) Order fulfillment optimization model of manufactures based on time competition. In: International conference of management science and information system, vol 3, pp 393–396
9.
Zurück zum Zitat Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neutral networks, Australia, vol 4, pp 1942–1948 Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neutral networks, Australia, vol 4, pp 1942–1948
10.
Zurück zum Zitat Eberhart RC, Kennedy J (2001) Swarm intelligence. Morgan Kaufmann, San Diego, ISBN 1-55860-595-9 Eberhart RC, Kennedy J (2001) Swarm intelligence. Morgan Kaufmann, San Diego, ISBN 1-55860-595-9
11.
Zurück zum Zitat Yoshida H, Kawata K, Fukyyama Y et al (1999) A particle swarm optimization for reactive power and voltage control considering voltage stability. In: Torres GL, Alves da Silva AP (eds) ISAP’99, Rio de Janeiro, brazil, pp 117–121 Yoshida H, Kawata K, Fukyyama Y et al (1999) A particle swarm optimization for reactive power and voltage control considering voltage stability. In: Torres GL, Alves da Silva AP (eds) ISAP’99, Rio de Janeiro, brazil, pp 117–121
12.
Zurück zum Zitat Gao HB, Zhou C, Gao L (2005) Generalized model of particle swarm optimization. Chin J Comput 28:1980–1987 Gao HB, Zhou C, Gao L (2005) Generalized model of particle swarm optimization. Chin J Comput 28:1980–1987
13.
Zurück zum Zitat Shayeghi H, Jalili A, Shayanfar HA (2008) Multi-stage fuzzy load frequency control using PSO. Energy Convers Manag 49:2570–2580CrossRef Shayeghi H, Jalili A, Shayanfar HA (2008) Multi-stage fuzzy load frequency control using PSO. Energy Convers Manag 49:2570–2580CrossRef
14.
Zurück zum Zitat Clerc M, Kennedy J (2002) The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evolut Comput 6:58–73CrossRef Clerc M, Kennedy J (2002) The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evolut Comput 6:58–73CrossRef
15.
Zurück zum Zitat Kuo IH, Horng SJ, Kao TW, Lin TL, Lee CL, Terano T et al (2009) An efficient flow-shop scheduling algorithm based on a hybrid particle swarm optimization model. Expert Syst Appl 36:7027–7032CrossRef Kuo IH, Horng SJ, Kao TW, Lin TL, Lee CL, Terano T et al (2009) An efficient flow-shop scheduling algorithm based on a hybrid particle swarm optimization model. Expert Syst Appl 36:7027–7032CrossRef
16.
Zurück zum Zitat Xia W, Wu Z (2005) A hybrid particle swarm optimization approach for the jobshop scheduling problem. Int J Adv Manuf Technol 29:360–366CrossRef Xia W, Wu Z (2005) A hybrid particle swarm optimization approach for the jobshop scheduling problem. Int J Adv Manuf Technol 29:360–366CrossRef
Metadaten
Titel
Application of Particle Swarm Optimization in the Decision-Making of Manufacturers’ Production and Delivery
verfasst von
Lingxiao Yang
Liangyou Shu
Copyright-Jahr
2012
Verlag
Springer London
DOI
https://doi.org/10.1007/978-1-4471-2467-2_10

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