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Author:

Zhang, Hanlin (Zhang, Hanlin.) | Jiang, Guorui (Jiang, Guorui.) | Huang, Tiyun (Huang, Tiyun.)

Indexed by:

EI Scopus

Abstract:

In an agile supply chain, delivery delay of part of subtasks often causes the whole order's tardiness. This paper studies how to reduce the risk of order tardiness by considering probability of delivery delay. A decision model based on delivery credit for agile supply chain scheduling is proposed. The model can satisfy requirements of lean production and adapt the conditions which information is incompletely share. Meanwhile, a heuristic method based on genetic algorithm is designed to solve the model. Numerical experiments are conducted to evaluate the validity of the model and its algorithm with different order urgency, order tardiness cost and supplier delivery credit.

Keyword:

Information systems Information use Heuristic methods Genetic algorithms Agile manufacturing systems Supply chains Scheduling Semiotics

Author Community:

  • [ 1 ] [Zhang, Hanlin]School of Economics and Management, Beijing University of Technology, China
  • [ 2 ] [Jiang, Guorui]School of Economics and Management, Beijing University of Technology, China
  • [ 3 ] [Huang, Tiyun]School of Economics and Management, Beijing University of Technology, China
  • [ 4 ] [Huang, Tiyun]School of Management, Harbin Institute of University, Harbin, China

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Source :

Year: 2009

Page: 390-396

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: 7

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