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Design of Synchronized Supply Chains: A Six Sigma Tolerancing Approach

Narahari, Y and Viswanadham, N and Bhattacharya, R (2000) Design of Synchronized Supply Chains: A Six Sigma Tolerancing Approach. In: IEEE International Conference on Robotics and Automation, 2000. ICRA'00, 24-28 April, San Francisco,California, Vol.2, 1151 -1156.


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A supply chain network can be viewed as a network of facilities in which a customer order will flow through internal business processes such as procurement, production, and transportation, ultimately reaching the required products on time to customers. The delivery performance of such a network can be maximized by pushing the work through the system in a way that the finished products reach the customer in a customer specified delivery window, with a very high probability. This entails synchronization and hence strict control of variability of deliveries at all intermediate points, to ensure that the raw materials and semi-finished work arrive at work spots in a timely fashion. We explore the use of the Motorola six sigma tolerancing methodology to achieve synchronization in supply chains. In particular, we use the six sigma approach to: (1) analyze a given supply chain process for six sigma delivery performance; and (2) design synchronized supply chains to guarantee six sigma delivery performance. We provide an example of a plastics industry supply chain, for which we report analysis and design experiments that demonstrate the use of the six sigma approach in designing synchronized supply chains with high levels of delivery performance.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 01 Mar 2006
Last Modified: 19 Sep 2010 04:24
URI: http://eprints.iisc.ac.in/id/eprint/5732

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