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Author:

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

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CPCI-S CPCI-SSH

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:

Author Community:

  • [ 1 ] [Zhang, Hanlin]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 2 ] [Jiang, Guorui]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 3 ] [Huang, Tiyun]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China

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Source :

INFORMATION SYSTEMS IN THE CHANGING ERA: THEORY AND PRACTICE

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: 0

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