Artikel
The simulation and optimization research on manufacturing enterprise's supply chain process from the perspective of social network
Purpose: By studying the case of a Changsha engineering machinery manufacturing firm, this paper aims to find out the optimization tactics to reduce enterprise's logistics operational cost. Design/methodology/approach: This paper builds the structure model of manufacturing enterprise's logistics operational costs from the perspective of inter-firm network and simulates the model based on system dynamics. Findings: It concludes that applying system dynamics in the research of manufacturing enterprise's logistics cost control can better reflect the relationship of factors in the system. And the case firm can optimize the logistics costs by implement joint distribution. Research limitations/implications: This study still lacks comprehensive consideration about the variables quantities and quantitative of the control factors. In the future, we should strengthen the collection of data and information about the engineering manufacturing firms and improve the logistics operational cost model. Practical implications: This study puts forward some optimization tactics to reduce enterprise's logistics operational cost. And it is of great significance for enterprise's supply chain management optimization and logistics cost control. Originality/value: Differing from the existing literatures, this paper builds the structure model of manufacturing enterprise's logistics operational costs from the perspective of inter-firm network and simulates the model based on system dynamics.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 8 ; Year: 2015 ; Issue: 3 ; Pages: 963-980 ; Barcelona: OmniaScience
- Classification
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Management
- Subject
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system dynamics
logistics operational cost
supply chain management
simulation
- Event
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Geistige Schöpfung
- (who)
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Fu, Chun
Shuai, Zhenzhen
- Event
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Veröffentlichung
- (who)
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OmniaScience
- (where)
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Barcelona
- (when)
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2015
- DOI
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doi:10.3926/jiem.1444
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Fu, Chun
- Shuai, Zhenzhen
- OmniaScience
Time of origin
- 2015
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