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A Decision-Making Process for a Single Item EOQ NLP Model with Two Constraints
Current Issue
Volume 3, 2015
Issue 5 (October)
Pages: 266-270   |   Vol. 3, No. 5, October 2015   |   Follow on         
Paper in PDF Downloads: 42   Since Sep. 8, 2015 Views: 1869   Since Sep. 8, 2015
Monalisha Pattnaik, Dept. of Business Administration, Utkal University, Bhubaneswar, India.
A Single item EOQ model is a stylized model using crisp arithmetic approach in decision making process with demand unit cost and dynamic ordering cost varies with the quantity produced/Purchased under two constraints. This paper considers the modification of objective function, limited capital investment and limited storage area in the presence of estimated parameters. The model is developed for the problem by employing NLP modeling approaches over an infinite planning horizon. It incorporates all concepts of crisp arithmetic approach, the quantity ordered, the demand per unit and compares with other model that of the crisp would optimal ordering policy of the problem over an infinite time horizon is also suggested. Investigation of the properties of an optimal solution allows developing an algorithm for obtaining solution through LINGO 13.0 version whose validity is illustrated through an example problem. Furthermore, sensitivity analysis of the optimal solution is studied with respect to changes in different parameter values and to draw managerial insights of proposed model.
Single Item, EOQ, NLP, Dynamic Ordering Cost
Cheng, T. C. E., An economic order quantity model with demand - dependent unit cost. European Journal of Operational Research, 1989; 40:252 – 256.
Urgeletti, T. G., Inventory control models and problems. European Journal of operational Research, 1983; 14:1 - 12.
Clark, A. J., An informal survey of multi echelon inventory theory. Naval Research Logistics Quarterly, 1972; 19:621 – 650.
Hadley, G. and Whitin, T. M., Analysis of inventory systems, Prentice - Hall, Englewood Clipps: NJ, 1963.
Taha, H. A., Operations Research - an introduction, 2nd edition. Macmillan: New York, 1976.
Roy, T. K. and Maiti, M., A fuzzy EOQ model with demand dependent unit cost under limited storage capacity. European Journal of Operational Research, 1997; 99:425 – 432.
Roy, T. K. and Maiti, M., A fuzzy inventory model with constraint. Operational Research Society of India, 1995; 32 (4):287 - 298.
Whitin, T. M., Inventory control research and survey. Management Science, 1954; 1:32 – 40.
Tripathy, P. K. and Pattnaik, M., Optimal inventory policy with reliability consideration and instantaneous receipt under imperfect production process. International Journal of Management Science and Engineering Management, 2011; 6(6):413-420.
Tripathy, P. K. and Pattnaik, M., Optimization in an inventory model with reliability consideration. Applied Mathematical Sciences, 2009; 3(1):11 - 25.
Tripathy, P. K. and Pattnaik, M., Afuzzy arithmetic approach for perishable items in discounted entropic order quantity model. International Journal of Scientific and Statistical Computing, 2011; 1(2):7-19.
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