Fuzzy Logic Supply Chain Agility Assessment Methodology

被引:3
|
作者
Pilevari, N. [1 ]
Hosseini, S. M. Seyed [1 ]
Jassbi, J. [1 ]
机构
[1] Islamic Azad Univ, Sci & Res Branch, Dept Ind Management, Tehran, Iran
关键词
Agility; Agile supply chain; Fuzzy Logic supply chain; supply chain management;
D O I
10.1109/IEEM.2008.4738043
中图分类号
F [经济];
学科分类号
02 ;
摘要
Supply Chain Agility Assessment has been considered as one of the most important issues in world class manufacturing research study. The environmental issue as well as speed, variety, flexibility and integration in production line come along with customer relationship and mass customization concept should come to light in today's research study. To achieve the competitive edge, companies must align with suppliers and customers to streamline operations, as well as agility characteristic beyond individual companies. Consequently agile supply chain (ASC) is considered as a dominant competitive advantage. However, so far a little effort has been made to build ASC assessment methodology in recent years. Therefore, due to ambiguity of agility assessment, we have constructed a fuzzy rule based system, considering agility capabilities such as Responsiveness, competency, flexibility and Quickness to evaluate agility in supply chains. This evaluation helps managers to perform gap analysis between existent agility level and the desired one.
引用
收藏
页码:1113 / 1117
页数:5
相关论文
共 50 条
  • [31] Supply chain agility: scale development
    Li, Xun
    Goldsby, Thomas J.
    Holsapple, Clyde W.
    [J]. INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT, 2009, 20 (03) : 408 - 424
  • [32] Supply chain agility drivers and enablers
    Boubaker, Selmen
    Jemai, Zied
    Sahin, Evren
    Dallery, Yves
    [J]. PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM 2019), 2019, : 819 - 823
  • [33] A framework for developing supply chain agility
    Sun, Y.
    Soehartono, E.
    Zhang, Z.
    [J]. Annals of DAAAM for 2004 & Proceedings of the 15th International DAAAM Symposium: INTELLIGNET MANUFACTURING & AUTOMATION: GLOBALISATION - TECHNOLOGY - MEN - NATURE, 2004, : 447 - 448
  • [34] Agility appraisal for integrated supply chain using generalized trapezoidal fuzzy numbers set
    Samantra, Chitrasen
    Datta, Saurav
    Mishra, Swagatika
    Mahapatra, Siba Sankar
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 68 (5-8): : 1491 - 1503
  • [35] Fuzzy TOPSIS based Methodology For Supply Chain Coordination Problems
    Singh, Ritesh Kumar
    Benyoucef, Lyes
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM'2011): INNOVATIVE APPROACHES AND TECHNOLOGIES FOR NETWORKED MANUFACTURING ENTERPRISES MANAGEMENT, 2011, : 848 - 858
  • [36] Prioritizing Supply Chain Agility Factors Using Fuzzy Analytic Network Process (FANP)
    Dastyar, Haniyeh
    Mohammadi, Ali
    Mohamadlou, Moslem Ali
    [J]. DYNAMICS IN LOGISTICS (LDIC 2020), 2020, : 166 - 174
  • [37] Agility appraisal for integrated supply chain using generalized trapezoidal fuzzy numbers set
    Chitrasen Samantra
    Saurav Datta
    Swagatika Mishra
    Siba Sankar Mahapatra
    [J]. The International Journal of Advanced Manufacturing Technology, 2013, 68 : 1491 - 1503
  • [38] Assessment of information technology effects on management of supply chain based on fuzzy logic in Iran tail industries
    Maryam Aliei
    Azam Sazvar
    Bozorgmehr Ashrafi
    [J]. The International Journal of Advanced Manufacturing Technology, 2012, 63 : 215 - 223
  • [39] Assessment of information technology effects on management of supply chain based on fuzzy logic in Iran tail industries
    Aliei, Maryam
    Sazvar, Azam
    Ashrafi, Bozorgmehr
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 63 (1-4): : 215 - 223
  • [40] A Strategic Model for Measuring Agility with Fuzzy Logic
    Khoshsima, Gholamreza
    [J]. ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS, 2008, 5370 : 258 - 268