Performance Estimation of Firms by G-L-A Supply Chain under Imperfect Data

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Author(s): Anoop Kumar Sahu (J.K.I.E., India), Nitin Kumar Sahu (Guru Ghasidas Vishwavidyalaya, India)and Atul Kumar Sahu (Guru Ghasidas Vishwavidyalaya, India)
Copyright: 2020
Pages: 33
Source title: Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-0945-6.ch047

Keywords: Business & Management / Business Science Reference / Operations and Service Management / Supply Chain Management

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Abstract

Amongst various proposed SC philosophies, Lean, Green and Agile strategies of SC worked seminal to solve many problems of firms. Performance measurement acts as a tool to quantify overall efficiency via G-L-A SC activities of firm, where Green SC agenda is to control and diminish pollution and Lean SC helps to reduce waste of firm, while Agile SC target to manage SC more cum quick responding to clients. This chapter proposed a MCDM performance appraisement module (module constituted by mixing the segregated chain of green-lean-agile logistic activities and corresponding their interrelated metrics) conjunctive with Fuzzy Performance Index model in purpose to estimation the overall performance of individual firm. Furthermore, a centroid method coupled with fuzzy number set is proposed for classifying ill and strong G-L-A metrics of firm, so that managers could escalate their firms performance in case of non desirable performance. A hypothetical case research of two firms i.e. gear and shaft manufacturing firms are shown to measure their performance under G-LA supply chain.

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Performance Estimation of Firms by G-L-A Supply Chain under Imperfect Data

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