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

On Designing Robust Kanban Production Control Strategies in Multiproduct Manufacturing Environments

On Designing Robust Kanban Production Control Strategies in Multiproduct Manufacturing Environments
View Sample PDF
Author(s): Oladipupo Olaitan (Dublin City University, Ireland), Anna Rotondo (Dublin City University, Ireland), Paul Young (Dublin City University, Ireland)and John Geraghty (Dublin City University, Ireland)
Copyright: 2014
Pages: 21
Source title: Handbook of Research on Design and Management of Lean Production Systems
Source Author(s)/Editor(s): Vladimír Modrák (Technical University of Košice, Slovakia)and Pavol Semančo (Technical University of Košice, Slovakia)
DOI: 10.4018/978-1-4666-5039-8.ch004

Purchase

View On Designing Robust Kanban Production Control Strategies in Multiproduct Manufacturing Environments on the publisher's website for pricing and purchasing information.

Abstract

In this chapter, two Kanban Allocation Policies, Shared (S-KAP) and Dedicated (D-KAP), are analysed to understand how they would perform under different manufacturing scenarios, and the authors identify the merits and demerits of each. To evaluate the performance, a three-stage two product system was simulated under scenarios that provide for different levels of demand variability for each product. When operated under S-KAP, the system contained less Work In Progress (WIP); however, under D-KAP, the system provided more robust service levels as the variability increased. Based on the results from the model, guidelines on how to effectively combine these two policies to achieve the benefits of both in a multiproduct manufacturing system are developed. By partitioning the system at locations that would suit the transformation from one policy to another in a similar fashion to what is obtained in hybrid push-pull strategies, and deploying the policies that match the dominant characteristics at each segment, gives reduced WIP while maintaining service levels.

Related Content

Göran Roos. © 2026. 28 pages.
Uzma Abbas, Shalom Akhai, Mahapara Abbass, Sana Abass, Arti Chouksey, Amandeep Singh Wadhwa. © 2026. 54 pages.
Rismawati Rismawati, Suaedi Suaedi, Supriadi Supriadi, St. Salmah Sharon, Abdul Haris. © 2026. 36 pages.
Dinar Kale, Pallavi Joshi, Stuart Parris. © 2026. 36 pages.
Prodromos I. Prodromidis. © 2026. 38 pages.
Lefteris Topaloglou, Despoina Kanteler, Yiannis Karagiannis, Dionysios Giannakopoulos, Dimitris Kallioras. © 2026. 38 pages.
Jipson Joseph, Achyutananda Mishra. © 2026. 32 pages.
Body Bottom