Skip to main content

Lead-time disturbance and uncertainty on production and inventory control: a review

Spiegler, V.L.M. (2017) Lead-time disturbance and uncertainty on production and inventory control: a review. In: Preparing to Perform in an Increasingly Connected World. . (Unpublished) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)

Abstract

The main goal of supply chain managers is to match customer demand with supply effectively, in order to minimise stockout rate as well as to reduce operating costs. Uncertainties and disturbances in the lead-time can lead to supply chain inefficiencies and risks. Notwithstanding the relevance of lead-time changes, previous research has focused on understanding the impact of demand uncertainty and on improving demand forecasting methods. In this paper, we review the body of knowledge in relation to the impact of lead-time disturbance and uncertainty on the planning and control of production and inventory systems. Articles are classified according to the applied methodology, performance criteria, type of mathematical model (linear/nonlinear, discrete/continuous, deterministic/stochastic) and venues for future research are outlined. We found a number of articles using analytical modelling techniques to investigate the impact of stochastic lead-time on supply chain performance. However, there is lack of understanding on the impact of deterministic disturbances triggered, for instance, by known sudden changes in lead-time. The literature recognises the importance of estimating lead-time with accuracy since a mismatch between actual and estimated lead-times may lead to an inventory drift, but it fails to capture the underlying mechanisms of lead-time disturbances, which are fundamental for an effective system design.

Item Type: Conference or workshop item (Proceeding)
Subjects: H Social Sciences > HB Economic Theory
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User: Virginia Spiegler
Date Deposited: 14 Jun 2017 10:53 UTC
Last Modified: 01 Aug 2019 10:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/62066 (The current URI for this page, for reference purposes)
Spiegler, V.L.M.: https://orcid.org/0000-0002-7130-3151
  • Depositors only (login required):