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Supply chain design through QFD-based optimization

K.G. Durga Prasad (Department of Mechanical Engineering, Wellfare Institute of Science, Technology & Management, Visakhapatnam, India)
K. Venkata Subbaiah (Department of Mechanical Engineering, Andhra University, Visakhapatnam, India)
K. Narayana Rao (Department of Mechanical Engineering, Government Model Residential Polytechnic, Visakhapatnam, India)

Journal of Manufacturing Technology Management

ISSN: 1741-038X

Article publication date: 27 May 2014

1807

Abstract

Purpose

The purpose of this paper is to demonstrate a methodology to design a supply chain with a view to achieve a strategic fit between competitive and supply chain strategies.

Design/methodology/approach

Quality function deployment (QFD)-based optimization methodology is employed to design a supply chain for a product through aligning the competitive and supply chain strategies. Normal boundary intersection (NBI) method is adopted to obtain optimal weights of the supply chain design objectives. Weighted additive model is developed for multi-objective optimization. Utility-based attribute function, which structure the relationship between the elements of competitive and supply chain strategies is established. The utility functions and the information contained in the House of Quality (HOQ) of QFD are used to define the supply chain performance (SCP).

Findings

SCP index is computed using the set of supply chain design objectives obtained by solving the weighted additive model. On the basis of SCP index, the supply chain activities are planned accordingly. An illustrative example is presented in this paper to describe the QFD-based optimization methodology for designing a supply chain.

Originality/value

QFD-based optimization is a novel approach to design a supply chain with a focus on aligning competitive and supply chain strategies.

Keywords

Citation

Durga Prasad, K.G., Venkata Subbaiah, K. and Narayana Rao, K. (2014), "Supply chain design through QFD-based optimization", Journal of Manufacturing Technology Management, Vol. 25 No. 5, pp. 712-733. https://doi.org/10.1108/JMTM-03-2012-0030

Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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