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Stochastic Reliability Measurement and Design Optimization of an Inventory Management System
Author
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Inventory management systems and dynamic reliability measures and controls remain challenging at every stage, especially when time variances and operating conditions are considered.
An inventory management system must maintain its adeptness over time while coping with the uncertainty of inventory flow.
Unexpected delays during inventory movement can harm the reliability and robustness of the entire system.
This paper introduces a method of quantifying the reliability of an inventory management system.
Also, a novel, reliability-based robust design optimization model has been developed to optimally allocate and schedule time while considering uncertainty associated with inventory movement.
The processes involved include purchasing, shipping, receiving, tracking, warehousing, storage, and turnover.
A case study of a furniture company in Saudi Arabia is presented to demonstrate the efficacy of the model.
American Psychological Association (APA)
Almaktoom, Abdulaziz T.. 2017. Stochastic Reliability Measurement and Design Optimization of an Inventory Management System. Complexity،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1142540
Modern Language Association (MLA)
Almaktoom, Abdulaziz T.. Stochastic Reliability Measurement and Design Optimization of an Inventory Management System. Complexity No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1142540
American Medical Association (AMA)
Almaktoom, Abdulaziz T.. Stochastic Reliability Measurement and Design Optimization of an Inventory Management System. Complexity. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1142540
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142540