Appraisal of Partner Enterprises under GTFNS Environment: Agile Supply Chain

Appraisal of Partner Enterprises under GTFNS Environment: Agile Supply Chain

Anoop Kumar Sahu (Department of Mechanical Engg, J.K.I.E, Bilaspur, India), Atul Kumar Sahu (Department of Industrial & Production Engineering, Guru Ghasidas Central University, Chhattisgarh, India) and Nitin Kumar Sahu (Department of Industrial & Production Engineering, Guru Ghasidas Central University, Chhattisgarh, India)
Copyright: © 2016 |Pages: 19
DOI: 10.4018/IJDSST.2016070101
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Abstract

In present research, a Multi-Criterion Decision Making (MCDM) appraisement index/module/framework is conceptualized from the resource of literature survey in extent of agile strategy of Supply Chain Management (SCM). The vagueness, impreciseness as well as inconsistency associated in measures and their metrics (sub-measures) is considered in the presented work and the assessment of the experts panel is acquired ‘described subjectively' in linguistic terms and transformed into Generalized Trapezoidal Fuzzy Number set (GTFNs). Thus, a fuzzy performance index model has been introduced in purpose to evaluate an Overall Fuzzy Performance Index (OFPI) and also to identify the barriers/ill-strong measures. The novelty of exposed research exists in evaluation period of OFPI. In preview researches, it was indeed imperative to assign the appropriateness ratings as well as priority weights for second level metrics (sub-measures) and priority weights individual 1st level measures for evaluating the OFPI under 2nd level hierarchy of SC. The present research compensates this research gap and the authors developed a model pertaining to MCDM, which answered towards said dilemma. The OFPI has been evaluated by availing same data excluding priority weights of individual 1st level measures. Furthermore, a revised ranking approach accompanied with fuzzy performance important index has fruitfully been implemented to identify the barriers/ill-strong measures.
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1. Introduction And State Of Art

The Supply Chain Management (SCM) is an active management, which maximizes the customer values and achieves a sustainable competitive advantage. It represents a conscious effort by the supply chain firms to develop and run supply chains in the most effective and efficient ways. Supply chain activities cover everything from product development, sourcing, production and logistics as well as the information systems needed to coordinate these activities (Source: http://scm.ncsu.edu/scm-articles/article/what-is-supply-chain-management). Recently, many businesses have adopted the concept of agile supply chains or networks in order to respond efficiently and effectively to increasingly dynamic and volatile markets (Christopher, 2000). The importance of time has been recognized as a competitive weapon for some time, which highlighted and enhanced the value of agile SC concept (Stalk, 1988). Agility is defined as the ability of an enterprise to rapidly respond to change in market and customers’ demands (Markland, Vickery & Davis, 1995). It is defined as an ability of enterprise to meet the demands of customers for ever-shorter delivery times (Stalk, & Thomas, 1990; Sharp, Irani & Desai, 1999). It is defined by the agility index, which is a combination of measured intensity levels of agility enable-attributes excluding other measuring methods (Yusuf, Ren & Burns, 2001; Youssuf, 1993). The agility has four underlying fragments associated with the value towards the customers, being ready for change, valuing human knowledge and skills, and forming virtual partnership (Goldman, Nagel & Dove 1991). Dempsey (1978), identified twenty different supplier attributes in his analysis into the decision-making process, his approach is excessively complex and consequently poses problems in application. Yigin, Taskin, Cedimoglu, and Topal (2007), explained that agile supply chain management can be considered as one of the most important aspects of production planning and control. Agile supply chain provides the link from suppliers to customers in the planning, manufacturing and controlling of raw materials and products (Markland, Vickery & Davis, 1995).

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