System analysis method supported on the principles of Analytic Network Process while employing a linguistic fuzzy logic-based knowledge representation.
Published in Chapter:
A Framework Proposal to Assess the LARG Index of a Supply Chain in a Fuzzy Context
Paulo Fazendeiro (Instituto de Telecomunicações, Portugal), Susana G. Azevedo (University of Beira Interior, Portugal), and V. Cruz-Machado (Universidade Nova de Lisboa, Portugal)
Copyright: © 2014
|Pages: 22
DOI: 10.4018/978-1-4666-4373-4.ch029
Abstract
Bearing in mind the new Supply Chain Management (SCM) paradigms, it is important that supply chains be aware of the implementation level of the main practices associated to each SCM paradigm (Lean, Agile, Resilient, and Green, hereafter referred as LARG). The main objective of this chapter is to propose a framework, based on Enterprise 2.0 approach, for global supply chains to assess their LARG index in order to evaluate the leanness, agility, resilience, and greenness of their practices. Enterprise 2.0 technologies and Fuzzy Logic techniques are used as enablers to the proposed LARG evaluation model in the following assessment tasks: 1) determination of an adequate set of Lean, Agile, Resilient, and Green practices; 2) consensual definition of the relative weights of the considered practices; 3) adjustment of the evaluation policy to the particular supply chain; and 4) effective follow-up of the assessment results.