journal article·2020-11-09Open access

On the Use of Importance Measures in the Reliability of Inventory Systems, Considering the Cost

Liwei Chen, Meng Kou, Songwei Wang

Applied Sciences· Volume 10· Issue 21

Abstract

In order to maximize inventory benefits or minimize costs, reliability and cost of inventory control models need to be identified and analyzed. These importance measures are one important approach to recognize and evaluate system weaknesses. However, importance measures have fewer applications in inventory systems’ reliability. Considering the cost, this paper mainly discusses the reliability change of performance parameters with the importance measures in inventory systems. The calculation methods of differential importance and Birnbaum importance are studied in the inventory control model with shortages. By comparing the importance values of various parameters in the model, the optimization analysis of the inventory model can be used to identify the key parameters, so as to effectively reduce the total inventory cost. The importance order and the identification of key parameters are helpful to increase the operational efficiency of the inventory control and provide effective methods for improving the inventory management. Lastly, a case study with a shortage and limited inventory capacity is used to demonstrate the proposed model.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Reliability and Maintenance Optimization · Risk and Safety Analysis · Multi-Criteria Decision Making

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, Henan, China

Beijing Institute of Astronautical System Engineering, Beijing 100076, China

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