Title: MASS: an analytical model for assessment of supply chain entity

Authors: P. Parthiban; H. Abdul Zubar; K. Ganesh; S. Nagarajan

Addresses: Department of Production Engineering, National Institute of Technology, Tiruchirappalli-620015, India ' Department of Production Engineering, National Institute of Technology, Tiruchirappalli-620015, India ' Supply Chain Management – Center of Competence, McKinsey Knowledge Center, McKinsey and Company, 8th Floor, DLF Plaza Tower, DLF City Phase 1, Gurgaon-122 002, Haryana, India ' Department of Mechanical Engineering, Vickram College of Engineering, Enathi – 630561, Tamilnadu, India

Abstract: Supply chain decision makers frequently consider the use of quantitative models for decision support when they face supply chain network design related decisions. This paper presents a generic analytical model derived with the base of Brown and Gibson (1972) model that incorporates the effects of both objective and subjective factors for evaluation of supply chain entity. The model shaped in such a way that it could be used in either an educational setting or in industry for making supply chain network design decisions. From the teaching feature, faculty and students can look at a supply chain network and can understand the consequences of adjustments without having to experience it firsthand. Industry professionals can modify the model to make it more like their own supply chain network and also can understand the effects of varying the attributes. Analytical model is illustrated with a real life example case.

Keywords: supply chain design; supply chain networks; network design; modified Brown-Gibson model; MBGM; analytical hierarchy process; AHP; simulation; analytical modelling; supply chain management; SCM; supply chain evaluation.

DOI: 10.1504/IJOR.2013.056688

International Journal of Operational Research, 2013 Vol.18 No.3, pp.318 - 345

Published online: 29 Jul 2014 *

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