Setting-up material handling network in manufacturing systems using graph theory

Shashank Gupta and Piyush Gupta

Journal of Advances in Management Research, 2018, vol. 15, issue 1, 58-67

Abstract: Purpose - Material handling (MH) is an important facility in any manufacturing system. It facilitates the transport of in-process material from one workstation (WS) to another. MH devices do imply incurring capital costs and, therefore, minimizing their deployment without compromising on smooth material flow will ensure savings in addition to the optimal use of productive shop floor space and, avoid space cluttering. The purpose of this paper is to evaluate the minimal network that connects all the WSs, therefore ensuring economic and safe manufacturing operations. Design/methodology/approach - Graph theoretical approach and Prim’s algorithm for minimal spanning tree is used to evaluate the minimal span of the MH devices. The algorithm is initialized by translating the graph of WSs into a distance matrix to evaluate the minimal MH network. Findings - The minimal length of the MH devices is evaluated for a typical case study. Research limitations/implications - The step-by step methodology explained in the manuscript acts as a good guide for practicing operational managers. The shortcoming of the methodology is that, it presumes the use of modular MH devices that will need to be reconfigured based on dynamic changes to the manufacturing system. Practical implications - The methodology is explained in detail to enable the practicing managers to use it for designing their MH networks in any manufacturing system. Originality/value - There is no evidence to indicate the use of minimal spanning tree algorithm for design of MH networks in a manufacturing system. This paper attempts to fill this gap.

Keywords: Manufacturing system; Graphical approach; Inter-connectivity; Material handling; Prim’s algorithm (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jamrpp:jamr-08-2017-0084

DOI: 10.1108/JAMR-08-2017-0084

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