Determining the optimal procurement policy and maximum allowable lifespan for machining tools with stochastically distributed toollife

Cun Rong Li, Xiao Long Chen, Bhaba R Sarker and Hui Zhi Yi
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Cun Rong Li: Wuhan University of Technology, Wuhan City, P.R. China
Xiao Long Chen: Wuhan University of Technology, Wuhan City, P.R. China
Bhaba R Sarker: Louisiana State University, Baton Rouge, USA
Hui Zhi Yi: Northwestern State University, Natchitoches, USA

Journal of the Operational Research Society, 2015, vol. 66, issue 12, 2050-2060

Abstract: For high-value added products, machining tools’ lifespan significantly influences the quantity of procurement in machining process. Preemption of tools from the workpiece while processing is continuing is sometime beneficial to safeguard the product from the damage due to tool failure or its malfunction. Also an early discard of a tool is costly for the manufacturing operation. Therefore an optimal strategy for the tool life is sought here to determine the maximum allowable tool lifespan to preempt from the workpiece and to have an appropriate amount of tool stock in the crib to ascertain the proper running of the production schedule and tool inventory. Therefore, an impact of the machining tool lifespan on the production-inventory policy of the system is investigated in this paper. An integrated lifespan related inventory model for machining tools is developed to meet the responding accurate requirement of procurement and inventory. Two numerical examples are presented to illustrate the integrated model. The results show that the practical lifespan adoption of machining tools has significant impact on the whole quantity of procurement, and eventually influences the coordinating economic decision making.

Date: 2015
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