A Gaussian Fuzzy Inventory EOQ Model Subject to Inaccuracies in Model Parameters. A Supply Chain Management Application

Authors

S. S. Appadoo FACULTY Author
Y. Gajpal FACULTY Author
R. S. Bhatti FACULTY Author

Keywords:

Fuzzy sets theory, Fuzzy Gaussian numbers, EOQ-GAP, G-EOQ, Economic order quantity, Supply chain management.

Abstract

Inventory models play important roles in a supply chain as it simultaneously impact cost and customer satisfaction. A Gaussian fuzzy economic order quantity (G-EOQ) inventory model is presented in this paper to target the subjective inaccuracies that exist in most inventory model formulation. We also define the concept of EOQ-GAP in inventory management. The approach taken is this paper is somewhat different to existing studies and in our view compliments existing fuzzy inventory models formulation. Finally, suggestions are made for further studies in supply chain management. A numerical example is provided towards the end of the paper along with concluding remarks and future work directions.

Author Biographies

S. S. Appadoo, FACULTY

Department of Supply Chain Management
University of Manitoba, Winnipeg, Manitoba, Canada
Y. Gajpal, FACULTY

Department of Supply Chain Management
University of Manitoba, Winnipeg, Manitoba, Canada
R. S. Bhatti, FACULTY

Department of Supply Chain Management
University of Manitoba, Winnipeg, Manitoba, Canada

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Published

2015-03-30

Issue

Vol. 3 No. 10 (2015): MARCH 2015

Section

Articles

License

Copyright (c) 2015 Academic Research Publishers

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

A Gaussian Fuzzy Inventory EOQ Model Subject to Inaccuracies in Model Parameters. A Supply Chain Management Application. (2015). International Academic Research Journal of Business and Management, 3(10), 1-11. https://www.acrpub.com/index.php/iarjbm/article/view/164

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