Abstract

ABSTRACTInventory strategies are very necessary for supporting the production process. The strategy in the form of a model is proposed for redundant allocation of critical parts of a server system for minimizing additional costs. This model considers the occurrence of failure using downtime limits as the downtime on the server should be minimal. The rapid replacement of spare parts can be achieved through an onsite inventory or a redundant configuration. Furthermore, fast delivery would be an alternative when there is no inventory or redundancy. We considered four scenarios including a combination of stock, installation of redundant components, and fast deliveries. The model was solved using the Lagrangian relaxation method. No downtime in scenarios using redundancy resulted in a stable total cost over the last period, even though the penalty increased. The redundant module only had an additional cost in the initial period, so if the penalty value increased, there was a switching of scenario selection in the third or fourth scenario.

Highlights

  • The management of spare parts is complex

  • We developed a strategy comprising a model for obtaining the best choice based on inventory cost and spare part availability

  • The results suggest that the best scenarios in terms of costs are those that do not hold inventory and those that do not use standby components as redundant parts installed in the system

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Summary

Introduction

The management of spare parts is complex. Spare part management is required to ensure high reliability, availability of parts and equipment operation. Giri and Dohi (2009) analysed the inventory control policy considering an emergency order for providing a balance between economy and reliability They applied cost-effectiveness criteria, including the effects of system availability and expected costs to obtain an optimal inventory. Coit and Liu (2000) examined approaches to improve the reliability and availability of systems through redundancy This was later extended by Ramirez-Marquez, Coit, and Konak (2004), who proposed a methodology to optimize the allocation of components through the logic of increasing the reliability of the system by minimizing failure time. Specific challenges involved in the logistics of spare parts, in addition to high penalties for downtime, attract attention in integrating stock availability, redundancy and fast delivery to address spare part management issues.

System description
Objective
Previous model
Hard disk
Processor
Proposed model
Spare parts ordering scenario and expectation of downtime
Solving the problem
Numerical example
Results and discussion
Effect of downtime on scenario selection
Determination of the best scenario using analytical hierarchy process
Conclusion and future research
Full Text
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