Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Zhang, Lupinga | Wong, T.N.a; * | Fung, R.Y.K.b
Affiliations: [a] Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China | [b] Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China
Correspondence: [*] Corresponding author: T.N. Wong, Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, Pokfulam Road, China. Tel.: +86 852 2859 7055; Fax: +86 852 2858 6535; E-mail: tnwong@hku.hk
Abstract: In manufacturing systems, process planning and scheduling are the two important pre-production planning functions which are usually performed sequentially. In a dynamic manufacturing environment, however, the shop floor has to encounter disruptions caused by disturbances and uncertainties. The original process plan and schedule may then become inefficient or even infeasible. Ideally, the process plan and the schedule have to be dynamically modified in accordance with the resource availability and conflicts on the shop floor. The merit of integrated process planning and scheduling (IPPS) is to increase the production feasibility and optimality by combining both the process planning and scheduling problems. An increasing number of intelligent approaches, such as search-based algorithms and negotiation-based multi-agent systems, have been proposed for IPPS, Research on the negotiation-based IPPS systems has been focused on the establishment of negotiation protocols to cater for the integration of process planning and scheduling. However, it is intricate to determine the appropriate utility functions and negotiation strategies for individual agentsin the negotiation-based IPPS system. In this paper, a multi-agent system (MAS) architecture is proposed to solve the dynamic IPPS problem with embedded heuristic algorithms. The MAS system is able to support a variety of heuristic methods to effect dynamic process planning, scheduling and re-scheduling. As a result, the proposed MAS system for dynamic IPPS using heuristics possesses high flexibility, extensibility, and accessibility for manufacturing applications.
Keywords: Integrated process planning and scheduling, rescheduling, multi-agent system, heuristics
DOI: 10.3233/IDT-130163
Journal: Intelligent Decision Technologies, vol. 7, no. 3, pp. 197-211, 2013
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl