Title: A modelling framework for improving supply chain delivery performance

Authors: Thomas Ngniatedema; Lihua Chen; Alfred L. Guiffrida

Addresses: Department of Business, Kettering University, 1700 University Avenue, Flint, Michigan 48504-6214, USA ' Department of Management and Marketing, West Liberty University, West Liberty, West Virginia, USA ' Department of Management and Information Systems, Kent State University, Kent, Ohio 44242, USA

Abstract: The evaluation of delivery performance is a crucial component in the overall management and control of a supply chain. The main objective of this research is to develop a framework that can be used to improve the delivery performance of a supplier to the end customer in a supply chain. The framework provides a bound on the financial investment required to make improvement to the delivery process. A variance reduction modelling approach is used that directly incorporates the uncertainty in the delivery time distribution into a financial delivery performance metric. The framework is demonstrated using numerical illustrations.

Keywords: supply chain performance; delivery performance; variance reduction; process improvement; modelling; supply chain management; SCM; financial investment; uncertainty; delivery times.

DOI: 10.1504/IJBPSCM.2016.077163

International Journal of Business Performance and Supply Chain Modelling, 2016 Vol.8 No.2, pp.79 - 96

Received: 10 Jan 2014
Accepted: 07 Sep 2014

Published online: 22 Jun 2016 *

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