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Dynamic performance of a hybrid inventory system with a Kanban policy in remanufacturing process

Dynamic performance of a hybrid inventory system with a Kanban policy in remanufacturing process

Zhou, Li ORCID: 0000-0001-7132-5935, Naim, Mohamed M., Tang, Ou and Towill, Denis R. (2005) Dynamic performance of a hybrid inventory system with a Kanban policy in remanufacturing process. Omega (International Journal of Management Science), 34 (6). pp. 585-598. ISSN 0305-0483 (doi:https://doi.org/10.1016/j.omega.2005.01.007)

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Abstract

In this paper we study a hybrid system with both manufacturing and remanufacturing. The inventory control strategy we use in the manufacturing loop is an automatic pipeline, inventory and order based production control system (APIOBPCS). In the remanufacturing loop we employ a Kanban policy to represent a typical pull system. The methodology adopted uses control theory and simulation. The aim of the research is to analyse the dynamic (as distinct from the static) performance of the specified hybrid system. Dynamics have implications on total costs in terms of inventory holding, capacity utilisation and customer service failures. We analyse the parameter settings to find preferred “nominal”, “fast” and “slow” values in terms of system dynamics performance criteria such as rise time, settling time and overshoot. Based on these parameter settings, we investigate the robustness of the system to changes in return yield and the manufacturing/remanufacturing lead time. Our results clearly show that the system is robust with respect to the system dynamics performance and the remanufacturing process can help to improve system dynamics performance. Thus, the perceived benefits of remanufacturing of products, both environmentally and economically, as quoted in the literature are found not to be detrimental to system dynamics performance when a Kanban policy is used to control the remanufacturing process.

Item Type: Article
Uncontrolled Keywords: hybrid system, combined manufacturing and remanufacturing, dynamic performance
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Faculty / Department / Research Group: Faculty of Business > Supply Chain Management Research Group
Faculty of Business > Department of Systems Management & Strategy
Related URLs:
Last Modified: 14 Oct 2016 09:21
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/8360

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