A Knowledge-based Customization System for Supply Chain Integration

被引:33
|
作者
Cheung, C. F. [1 ]
Cheung, C. M. [1 ]
Kwok, S. K. [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Knowledge Management Res Ctr, Kowloon, Hong Kong, Peoples R China
关键词
Supply chain management; Optimization; Knowledge management; Knowledge-based system; Topology visualization; Network analysis; Radio-frequency identification; INVENTORY MANAGEMENT; NETWORKS; COLLABORATION; DESIGN;
D O I
10.1016/j.eswa.2011.08.096
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Hostile environmental pressure on supply chain management increases emphasis on supply chain agility, integration, and visibility to respond rapidly, effectively and efficiently to changes in the marketplace. There is a need for new methods and tools to visualize the supply chain topologies which captures and recognizes the complexity of the supply chain network. This paper presents a Knowledge-based Customization System for Supply Chain Integration (KCSSI) which is developed based on three core technologies: visualization of topologies, network analysis, and knowledge-based system so as to obtain quantified actionable information and formulating strategies for supply chain configuration leading the long term success. The performance of the system is verified by a series of controlled simulation experiments conducted in a selected reference site. It is verified that the KCSSI improves supply chain visibility by recognizing the structure clustering and interconnection of the supply chain network, quantifying and exploiting holistic supply chain performance to provide measurable insights for the customization of the supply chain configuration leading to long term success. (C) 2011 Elsevier Ltd. All rights reserved.
引用
下载
收藏
页码:3906 / 3924
页数:19
相关论文
共 50 条
  • [41] KNOWLEDGE-BASED INTEGRATION OF HETEROGENEOUS DATABASES
    FANKHAUSER, P
    NEUHOLD, EJ
    IFIP TRANSACTIONS A-COMPUTER SCIENCE AND TECHNOLOGY, 1993, 25 : 155 - 175
  • [42] Knowledge-based integration of IU algorithms
    Shekhar, C
    Kuttikkad, S
    Chellappa, R
    IMAGE UNDERSTANDING WORKSHOP, 1996 PROCEEDINGS, VOLS I AND II, 1996, : 1525 - 1532
  • [43] Integration of a knowledge-based system and a clinical documentation system via a data dictionary
    Eich, HP
    Ohmann, C
    Keim, E
    Lang, K
    MEDICAL INFORMATICS EUROPE '97: PARTS A & B, 1997, 43 : 431 - 435
  • [44] Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach
    Sezer, Muruvvet Deniz
    Ozbiltekin-Pala, Melisa
    Kazancoglu, Yigit
    Garza-Reyes, Jose Arturo
    Kumar, Anil
    Kumar, Vikas
    OPERATIONS MANAGEMENT RESEARCH, 2023, 16 (03) : 1220 - 1230
  • [45] Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach
    Muruvvet Deniz Sezer
    Melisa Ozbiltekin-Pala
    Yigit Kazancoglu
    Jose Arturo Garza-Reyes
    Anil Kumar
    Vikas Kumar
    Operations Management Research, 2023, 16 : 1220 - 1230
  • [46] A New Method of Product Configuration for Customization System into Supply Chain
    Sun, Xueyan
    Jiang, Xingyu
    Wang, Shijie
    Zhang, Xinmin
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 3870 - 3874
  • [47] Knowledge-based integration infrastructure and the emerging integration science
    Bellman, K
    15TH INTERNATIONAL CONGRESS ON CYBERNETICS, PROCEEDINGS, 1999, : 857 - 857
  • [48] Knowledge-Based Integration of Engineering Design Data Semantic Technologies Supply high Potential
    Wiesner, Andreas
    Wiedau, Michael
    Marquardt, Wolfgang
    Temmen, Heiner
    Richert, Hannes
    Anhaeuser, Felix
    ATP EDITION, 2010, (04): : 48 - 59
  • [49] Supply chain resource integration and optimization in mass customization by the fourth party logistics
    Yao, J.-M., 1600, Asian Network for Scientific Information (12):
  • [50] Supply-chain integration: implications for mass customization, modularization and postponement strategies
    Mikkola, JH
    Skjott-Larsen, T
    PRODUCTION PLANNING & CONTROL, 2004, 15 (04) : 352 - 361