Abstract
In this chapter, an agent-based approach has been developed to facilitate the integration of the two functions. In the approach, the two functions are carried out simultaneously, and an optimization agent based on an evolutionary algorithm is used to manage the interactions and communications between agents to enable proper decisions to be made. To verify the feasibility and performance of the proposed approach, experimental studies have been conducted and comparisons have been made between this approach and some previous works. The experimental results show the proposed approach has achieved significant improvement.
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References
Tan W, Khoshnevis B (2000) Integration of process planning and scheduling—a review. J Intell Manuf 11:51–63
Chryssolouris G, Chan S (1985) An integrated approach to process planning and scheduling. Ann CIRP 34(1):413–417
Chryssolouris G, Chan S, Cobb W (1984) Decision making on the factory floor: An integrated approach to process planning and scheduling. Robot Comput Integr Manuf 1(3–4):315–319
Beckendorff, U., Kreutzfeldt, J., & Ullmann, W. (1991). Reactive workshop scheduling based on alternative routings. In: Proceedings of a conference on factory automation and information management, pp 875–885
Khoshnevis B, Chen QM (1989) Integration of process planning and scheduling function. In: Proceedings of IIE integrated systems conference and society for integrated manufacturing conference, pp 415–420
Larsen NE (1993) Methods for integration of process planning and production planning. Int J Comput Integr Manuf 6(1–2):152–162
Zhang HC (1993) IPPM— A prototype to integrated process planning and job shop scheduling functions. Annals of the CIRP 42(1):513–517
Zhang WJ, Xie SQ (2007) Agent technology for collaborative process planning: a review. Int J Adv Manuf Technol 32:315–325
Wang LH, Shen WM, Hao Q (2006) An overview of distributed process planning and its integration with scheduling. Int J Comput Appl Technol 26(1–2):3–14
Shen WM, Wang LH, Hao Q (2006) Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey. IEEE Trans Sys Man Cybern Part C: Appl Rev 36(4):563–577
Gu P, Balasubramanian S, Norrie D (1997) Bidding-based process planning and scheduling in a multi-agent system. Comput Ind Eng 32(2):477–496
Chan FTS, Zhang J, Li P (2001) Modelling of integrated, distributed and cooperative process planning system using an agent-based approach. Proc Inst Mech Eng, Part B: J Eng Manuf 215:1437–1451
Wu SH, Fuh JYH, Nee AYC (2002) Concurrent process planning and scheduling in distributed virtual manufacturing. IIE Trans 34:77–89
Lim MK, Zhang Z (2003) A multi-agent based manufacturing control strategy for responsive manufacturing. J Mater Process Technol 139:379–384
Lim MK, Zhang DZ (2004) An integrated agent-based approach for responsive control of manufacturing resources. Comput Ind Eng 46:221–232
Wang LH, Shen WM (2003) DPP: An agent-based approach for distributed process planning. J Intell Manuf 14:429–439
Wong TN, Leung CW, Mak KL, Fung RYK (2006) Integrated process planning and scheduling/rescheduling—an agent-based approach. Int J Prod Res 44(18–19):3627–3655
Wong TN, Leung CW, Mak KL, Fung RYK (2006) Dynamic shopfloor scheduling in multi-agent manufacturing system. Expert Syst Appl 31:486–494
Shukla SK, Tiwari MK, Son YJ (2008) Bidding-based multi-agent system for integrated process planning and scheduling: A data-mining and hybrid Tabu-SA algorithm-oriented approach. Int J Adv Manuf Technol 38:163–175
Fuji N, Inoue R, Ueda K (2008) Integration of process planning and scheduling using multi-agent learning. In: Proceeding of 41st CIRP conference on manufacturing systems, pp 297–300
Nejad HTN, Sugimura N, Iwamura K, Tanimizu Y (2008) Agent-based dynamic process planning and scheduling in flexible manufacturing system. In: Proceeding of 41st CIRP conference on manufacturing systems, pp 269–274
Li, W. D., Gao, L., Li, X. Y., & Guo, Y. (2008a). Game theory-based cooperation of process planning and scheduling. In: Proceeding of CSCWD, pp. 841–845
Li WD, McMahon CA (2007) A simulated annealing-based optimization approach for integrated process planning and scheduling. Int J Comput Integr Manuf 20(1):80–95
Saygin C, Kilic SE (1999) Integrating flexible process plans with scheduling in flexible manufacturing systems. Int J Adv Manuf Technol 15:268–280
Kim YK, Park K, Ko J (2003) A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling. Comput Oper Res 30:1151–1171
Catron AB, Ray SR (1991) ALPS-A language for process specification. Int J Comput Integr Manuf 4:105–113
Sormaz D, Khoshnevis B (2003) Generation of alternative process plans in integrated manufacturing systems. J Intell Manuf 14:509–526
Li XY, Shao XY, Gao L (2008) Optimization of flexible process planning by genetic programming. Int J Adv Manuf Technol 38:143–153
Shao XY, Li XY, Gao L, Zhang CY (2009) Integration of process planning and scheduling—a modified genetic algorithm-based approach. Comput Oper Res 36:2082–2096
Liu SP, Zhang J, Rao YQ, Li PG (2000) Construction of communication and coordination mechanism in a multi-agent system. In: Proceedings of 17th international conference computer aided production engineering, pp 28–30
Sundaram RM, Fu SS (1988) Process planning and scheduling. Comput Ind Eng 15(1–4):296–307
Palmer GJ (1996) A simulated annealing approach to integrated production scheduling. J Intell Manuf 7(3):163–176
Morad N, Zalzala A (1999) Genetic algorithms in integrated process planning and scheduling. J Intell Manuf 10:169–179
Chan FTS, Chuang SH, Chan LY (2008) An introduction of dominant genes in genetic algorithm for FMS. Int J Prod Res 46(16):4369–4389
Kumar R, Tiwari MK, Shankar R (2003) Scheduling of flexible manufacturing systems: an ant colony optimization approach. Proc Inst Mech Eng, Part B: J Eng Manuf 217:1443–1453
Lee DY, DiCesare F (1994) Scheduling flexible manufacturing systems using petri nets and heuristic search. IEEE Trans Robot Autom 10(2):123–132
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Li, X., Gao, L. (2020). An Agent-Based Approach for IPPS. In: Effective Methods for Integrated Process Planning and Scheduling. Engineering Applications of Computational Methods, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55305-3_10
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