A Multi-Item Inventory Model with Demand-Dependent Unit Cost : A Geometric Programming Approach with GA-SVM

Authors

  • Dr. M. Raja Sekar  Professor, CSE Department VNRVJIET, Hyderabad, Telangana, India

Keywords:

Genetic Algorithms, Support Vector machines, Geometric Programming, Inventory models, EOQ and Demand dependent.

Abstract

Multi-item inventory models are developed with and without back-orders where demand is related to the unit price as price is inversely proportional to demand. The models are associated with infinite/finite storage capacities. In total, there are four multi-item inventory models which are formulated with the cost functions and with/without constraints in the form of signomilas and solved by both a modified geometric programming technique and gradient-based non-linear programming method. For each model, sensitivity analysis with respect to the degree of economies of scale and invariant cost parameters are also presented. Each case is illustrated with numerical example and the results from two methods are compared.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-12-31

Issue

Volume 2, Issue 6, November-December-2017

Section

Research Articles

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Copyright (c) IJSRCSEIT

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

How to Cite

[1]
Dr. M. Raja Sekar, " A Multi-Item Inventory Model with Demand-Dependent Unit Cost : A Geometric Programming Approach with GA-SVM, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.919-923, November-December-2017.