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author:

Huang, Xia-Bao (Huang, Xia-Bao.) [1] | Yang, Li-Xi (Yang, Li-Xi.) [2] (Scholars:杨立熙)

Indexed by:

EI Scopus

Abstract:

To reduce lead-time of a product in the project manufacturing environment while improving on time completion rate, a new approach based on CCPM to setting lead-time is developed. After analyzing the features of project manufacturing, it is concluded that current methods of setting lead-time usually don't perform well for project manufacturing. For the project manufacturing has the same features as a project, incorporated CCPM, a four step approach which involves defining a project, identifying critical chain, setting buffers and constructing the project plan, to set lead-time is proposed. A simulation experiment indicates that the proposed approach outperforms CPM. ©2009 IEEE.

Keyword:

Artificial intelligence Information analysis Manufacture Project management

Community:

  • [ 1 ] [Huang, Xia-Bao]Fujian Institute of Economics Management, Fuzhou 350002, China
  • [ 2 ] [Yang, Li-Xi]School of Management, Fuzhou University, Fuzhou 350108, China

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Year: 2009

Page: 407-410

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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