A hierarchical model for e-supply chain coordination and optimisation

被引:12
|
作者
Yin, Xiao Feng [1 ]
Khoo, Li Pheng [1 ]
机构
[1] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore, Singapore
关键词
Supply chain management; Electronic commerce; Algorithmic languages;
D O I
10.1108/17410380710717616
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose - The integration of e-business and supply chain enables seamless information flow from suppliers to customer service network via the internet. It also enables better-coordinated materials flow from customer order to production, storage, distribution and delivery. The purpose of this paper is to describe the work that leads to the realisation of a hierarchical model for e-supply chain coordination and optimisation. \Design/methodology/approach - The model is based on an e-business information flow network in order to respond rapidly to the dynamics of e-supply chain and market. It can be used to realize management level strategies, and facilitate the planning and control of detailed operation schedules of supply chain units in an e-supply chain environment. Three main modules are discussed. They are routing and sequence optimiser (RSO) with the aid of a GA and TS-based multiple population search strategy (MPSS); supply chain virtual clustering (SCVC) based on fuzzy virtual clustering; and supply chain order scheduling (SCOS) using an agent-based distributed scheduling system. Findings - These modules enable: the generation of preferred routings, transportation modes and work order plan under such constraints as customer service level, cycle time and cost; the formation of supply chain's unit-transportation-work order families using a clustering approach to down-size supply chain problems and increase computation efficiency; and the integration of scheduling with supply chain optimisation in order to facilitate the control of a supply chain with the aid of an agent-based distributed scheduling approach. Originality/value - This paper proposed a hierarchical model for e-supply chain coordination and optimisation that is capable to solve large-scale problems. A MPSS using GA and TS was depicted in detail to expedite the RSO.
引用
收藏
页码:7 / 24
页数:18
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