Title: Supply chain delivery performance improvement for several delivery time distributions

Authors: Maxim A. Bushuev; Alfred L. Guiffrida; Tatiana Rudchenko

Addresses: Morgan State University, 4100 Hillen Road, Office 534, Baltimore, MD 21251, USA ' Kent State University, Business Administration Building, A411, Kent, OH 44242-0001, USA ' Georgia Institute of Technology, 800 West Peachtree Street, N.W., Atlanta, Georgia 30308-1149, USA

Abstract: This paper investigates strategies for improving supply chain delivery performance when the cumulative density function of the delivery time distribution exists in closed form. Delivery performance is measured using a cost-based analytical model which evaluates the expected cost for early and late delivery. The effect of changes to the parameters of the delivery time distribution on the expected cost of untimely delivery is explored. Strategies for improving delivery performance utilising the mean and variance of the delivery time distribution are studied for the uniform, exponential, and logistic delivery time distributions when a supplier uses an optimally positioned delivery window to minimise the expected cost of untimely delivery. Theoretical and managerial implications of the findings are discussed.

Keywords: supply chain management; delivery performance; continuous improvement.

DOI: 10.1504/IJOR.2018.096491

International Journal of Operational Research, 2018 Vol.33 No.4, pp.538 - 558

Received: 12 Oct 2015
Accepted: 26 Dec 2015
Published online: 05 Dec 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article