IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Mathematical Model for Tactical Operations Planning for Response-Base Supply Chains

A Mathematical Model for Tactical Operations Planning for Response-Base Supply Chains
View Sample PDF
Author(s): Sheu Hua Chen (National Chinyi University of Technology, Taiwan)
Copyright: 2011
Pages: 12
Source title: Supply Chain Optimization, Management and Integration: Emerging Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-60960-135-5.ch017

Purchase

View A Mathematical Model for Tactical Operations Planning for Response-Base Supply Chains on the publisher's website for pricing and purchasing information.

Abstract

This article explores the issue of lead-time in response-based supply chains. From a tactical viewpoint of response-based supply chains, the processing time for each stage is assumed to be a random variable since different practices exist in the selection pool of each stage under a specific lead-time requirement. The decision-maker must select suitable practices of operations for each stage to ensure that the lead-time meets a desired requirement. The relationship and the trade-off between the operating costs for the selected practices and the inventory holding cost of safety stock that is in turn affected by the lead-time are discussed. A mathematical model for planning the operations from a manufacturer viewpoint is proposed. The variation in practical situation for the proposed model is also addressed. A hypothetic example is provided to illustrate the effectiveness of the proposed model. With reference to the computational results, the effect of several parameters on the model’s optimal solutions was discussed.

Related Content

Hamed Nozari. © 2024. 13 pages.
Maryam Rahmaty. © 2024. 13 pages.
Mahmonir Bayanati. © 2024. 13 pages.
Kamalendu Pal. © 2024. 33 pages.
Kamalendu Pal. © 2024. 35 pages.
Aminmasoud Bakhshi Movahed, Ali Bakhshi Movahed, Hamed Nozari. © 2024. 31 pages.
Esmael Najafi, Iman Atighi. © 2024. 11 pages.
Body Bottom