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author:

Chen, K.J. (Chen, K.J..) [1] (Scholars:陈可嘉) | Ji, P. (Ji, P..) [2]

Indexed by:

EI Scopus

Abstract:

This paper presents a seamless decision support system, on the basis of a genetic algorithm (GA), for integrating production planning and scheduling. The infrastructural framework and the functional modules in the proposed system are described in detail. An example is illustrated to validate the applicability of the developed system. The integrated planning and scheduling decision support system (IPSDSS) was implemented using VC++, an object oriented programming language.

Keyword:

Artificial intelligence Decision support systems Genetic algorithms Integration Object oriented programming Planning Production control Scheduling

Community:

  • [ 1 ] [Chen, K.J.]Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
  • [ 2 ] [Chen, K.J.]School of Management, Fuzhou University, Fuzhou, China
  • [ 3 ] [Ji, P.]Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

Reprint 's Address:

  • [ji, p.]department of industrial and systems engineering, hong kong polytechnic university, hung hom, kowloon, hong kong

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Source :

Year: 2006

Page: 1899-1911

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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