Fuzzy Economic Order Quantity (FEOQ) Model with Units Lost Due to Deterioration
Abstract
This model investigates the instantaneous fuzzy economic order quantity model by allocating the percentage of units lost dueto deterioration in an on-hand inventory by framing variable ordering cost. The objective is to maximize the fuzzy net profit so as to determine the order quantity, the cycle length and number of units lost due to deterioration in fuzzy decision space. For any given number of replenishment cycles the existence of aunique optimal replenishment schedule are proved and mathematical model is developed to find some important characteristics for the concavity of the fuzzy net profit function. Numerical examples are provided to illustrate the results of proposed model which benefit the retailer and this policy is important, especially for wasting of deteriorating items. Finally, sensitivity analyses of the fuzzy optimal solution with respect to the major parameters are also studied.References
Bose, S., Goswami, A. and Chaudhuri, K.S. “An EOQ model for deteriorating items with linear time-dependent demand rate and shortages under inflation and time discounting”. Journal of Operational Research Society, 46: 775-782, 1995.
Goyal, S.K. and Giri, B.C. “Recent trends in modeling of deteriorating inventory’. European Journal of Operational Research, 134: 1-16, 2001.
Goyal, S.K. and Gunasekaran, A. “An integrated production-inventory-marketing model for deteriorating items”. Computers and Industrial Engineering, 28: 755-762, 1995.
Gupta, D. and Gerchak, Y. “Joint product durability and lot sizing models”. European Journal of Operational Research, 84: 371-384, 1995.
Hariga, M. “An EOQ model for deteriorating items with shortages and time-varying demand”. Journal of Operational Research Society, 46: 398-404, 1995.
Hariga, M. “An EOQ model for deteriorating items with time-varying demand”. Journal of Operational Research Society, 47: 1228-1246, 1996.
Hariga, M., “Economic analysis of dynamic inventory models with non-stationary costs and demand”. International Journal of Production Economics, 36: 255-266, 1994.
Jain, K. and Silver, E. “A lot sizing for a product subject to obsolescence or perishability”. European Journal of Operational Research, 75: 287-295, 1994.
Mahata, G.C. and Goswami, A. “Production lot size model with fuzzy production rate and fuzzy demand rate for deteriorating item under permissible delay in payments”. Journal of Operational Research Society India, 43: 359-375, 2006.
Mishra, V.K. “Inventory model for time dependent holding cost and deterioration with salvage value and shortages”. The Journal of Mathematics and Computer Science, 4(1): 37-47, 2012.
Osteryoung, J.S., Mc Carty D.E. and Reinhart W.L. “Use of EOQ models for inventory analysis”. Production and Inventory Management, 3rd Qtr: 39-45, 1986.
Padmanabhan, G. and Vrat, P. “EOQ models for perishable items under stock dependent selling rate”. European Journal of Operational Research, 86: 281-292, 1995.
Pattnaik, M. “Fuzzy NLP for a Single Item EOQ Model with Demand - Dependent Unit Price and Variable Setup Cost”. World Journal of Modeling and Simulations, 9(1): 74-80, 2013.
Pattnaik, M. “Models of Inventory Control”. Lambart Academic Publishing, Germany, 2012.
Raafat, F. “Survey of literature on continuously deteriorating inventory models”. Journal of
Operational Research Society, 42: 89-94, 1991.
Roy, T.K. and Maiti, M. “A Fuzzy EOQ model with demand dependent unit cost under limited storage capacity”. European Journal of Operational Research, 99: 425-432, 1997.
Sahoo, P.K. and Pattnaik, M. “An article ”Decision Making Approach to Fuzzy Linear Programming (FLP) Problems with Post Optimal Analysis”. International Journal of Operations Research and Information Systems, in press, 2013.
Salameh, M.K., Jaber, M.Y. and Noueihed, N. “Effect of deteriorating items on the instantaneous replenishment model”. Production Planning and Control, 10(2): 175-180, 1993.
Shah, N. “Literature survey on inventory models for deteriorating items”. Economics Annals,
: 221-237, 2000.
Tripathy, P.K. and Pattnaik, M. “Fuzzy Supplier Selection Strategies in Supply Chain Management”. International Journal of Supply Chain Management, 2(1): 30-39, 2013.
Tripathy, P.K. and Pattnaik, M. “Optimal disposal mechanism with fuzzy system cost under flexibility and Reliability criteria in non-random optimization environment”. Appllied Mathematical Sciences, 3(37): 1823-1847, 2009.
Tripathy, P.K. and Pattnaik, M. “Optimal inventory policy with reliability consideration and instantaneous receipt under imperfect production process”. International Journal of Management Sciences and Engineering Management, 6(6): 412-420, 2011.
Tripathy,P.K.,Pattnaik,M.andTripathy,P.“OptimalEOQModelforDeterioratingItemswith Promotional Effort Cost”. American Journal of Operations Research, 2(2): 260-265, 2012.
Tripathy, P.K., Tripathy, P. and Pattnaik, M. “A Fuzzy EOQ Model with Reliability and Demand-dependent Unit Cost”. International Journal of Contemporary Mathematical Sciences, 6(30): 1467-1482, 2011.
Tsao, Y.C. and Sheen, G.J. “Dynamic pricing, promotion and replenishment policies for a deteriorating item under permissible delay in payment”. Computers and Operations Research,35: 3562-3580, 2008.
Vujosevic, M., Petrovic, D. and Petrovic, R. “EOQ formula when inventory cost is fuzzy”. International Journal of Production Economics, 45: 499-504, 1996.
Waters, C.D.J. “Inventory Control and Management”. (Chichester: Wiley), 1994.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).