Simple subcontracting rules for make-to-order shops with limited subcontractor capacity : an assessment by simulation

Thurer, Matthias and Stevenson, Mark and Qu, Ting (2015) Simple subcontracting rules for make-to-order shops with limited subcontractor capacity : an assessment by simulation. Production Planning and Control, 26 (13). pp. 1145-1161. ISSN 0953-7287

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Abstract

Companies that produce a high variety of customised products often suffer from large fluctuations in demand. Subcontracting can be an important means of overcoming resulting capacity shortages during high demand periods. A set of effective subcontracting rules, for determining which jobs to subcontract and which to produce internally, has recently been presented in the literature for this type of company. But evaluations of these rules have assumed subcontractor capacity is infinite. This study examines the impact of limited subcontractor capacity on the performance of the three best-performing subcontracting rules for make-to-order companies using a simulation model of an assembly job shop. Limiting subcontractor capacity inhibits the ability of a subcontracting rule to protect the internal shop from surges in demand, which negatively affects performance. However, significant performance differences between the rules evaluated are maintained, which underlines the importance of choosing the right subcontracting rule. Further analysis reveals that a limit on the work that can be subcontracted leads to less work being subcontracted more often, which requires adequate response by management. Meanwhile, the assumption of infinite capacity results in sporadically subcontracting a large amount of work. The results have important implications for future research and practice.

Item Type:
Journal Article
Journal or Publication Title:
Production Planning and Control
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1400/1408
Subjects:
?? subcontractingsubcontractor capacitymake-to-orderassembly job shopstrategy and managementmanagement science and operations researchindustrial and manufacturing engineeringcomputer science applications ??
ID Code:
72849
Deposited By:
Deposited On:
02 Feb 2015 12:07
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 15:02