This paper derives a reverse logistic inventory model with imperfect production, stock-dependent demand, flexible manufacturing, and shortages over infinite planning horizon. The objective is to determine the joint policy for optimal production, amount of remanufacturing, collection of reusable items, and collection as well as disposal of defective items which minimizes the total cost of the inventory system under consideration. To make the model more realistic, both of the cases of linear and nonlinear holding costs have been discussed. The results are discussed with a numerical example to illustrate the theory. 1. Introduction The assumption of perfect production is not ideal for practical production system. Even the best production system may produce defective items. The governmental guidelines clearly state reduction of wastages, conservation of precious resources, protection of environment, and prevention of environmental degradation as a guiding principles for the business organizations. The manufacturing organizations may reuse the defective items after suitably repairing and removal of defects in order to avoid waste of resources. The defective items which are either irreparable or cannot be repaired easily and cost effectively are disposed off. They also prefer to reuse or recycle the items procured from the customers and reconvert through the appropriate process to appear as new and useful. 2. Literature Review The classical production inventory model assumes that all the items produced are of perfect quality. Such an assumption appears impractical in real system. Therefore researchers have attracted towards model formation in which some parts of the items produced are of imperfect quality and they can be reworked and repaired. Rosenblatt and Lee [1], Lee and Rosenblatt [2], Cheng [3], Das and Sarkar [4], and Chung and Hou [5] worked on the issue of imperfect quality items and proved that production inventory cost is affected by rework or repair. Cheng [3] developed an economic order quantity model with demand-dependent unit production cost and imperfect production processes. Hayek and Salameh [6] assumed that all of the defective items produced are repairable and derived an optimal operating policy for EPQ model under the effect of reworking of imperfect quality items. Chung and Hou [5] investigated the production inventory model with imperfect production processes and allowable shortages. Chiu et al. [7] derived an economic production quantity (EPQ) model with scrap, rework, and stochastic machine breakdowns and assumed some portion of the
References
[1]
M. J. Rosenblatt and H. L. Lee, “Economic production cycles with imperfect production processes,” IIE Transactions, vol. 18, no. 1, pp. 48–55, 1986.
[2]
H. L. Lee and M. J. Rosenblatt, “Simultaneous determination of production cycle and inspection schedules in a production system,” Management Science, vol. 33, no. 9, pp. 1125–1136, 1987.
[3]
T. C. E. Cheng, “Economic order quantity model with demand-dependent unit production cost and imperfect production processes,” IIE Transactions, vol. 23, no. 1, pp. 23–28, 1991.
[4]
T. K. Das and S. Sarkar, “Optimal preventive maintenance in a production inventory system,” IIE Transactions, vol. 31, no. 6, pp. 537–551, 1999.
[5]
K.-J. Chung and K.-L. Hou, “An optimal production run time with imperfect production processes and allowable shortages,” Computers and Operations Research, vol. 30, no. 4, pp. 483–490, 2003.
[6]
P. A. Hayek and M. K. Salameh, “Production lot sizing with the reworking of imperfect quality items produced,” Production Planning and Control, vol. 12, no. 6, pp. 584–590, 2001.
[7]
S. W. Chiu, S.-L. Wang, and Y.-S. P. Chiu, “Determining the optimal run time for EPQ model with scrap, rework, and stochastic breakdowns,” European Journal of Operational Research, vol. 180, no. 2, pp. 664–676, 2007.
[8]
S. R. Singh and C. Singh, “Supply chain model with stochastic lead time under imprecise partially backlogging and fuzzy ramp-type demand for expiring items,” International Journal of Operational Research, vol. 8, no. 4, pp. 511–522, 2010.
[9]
D. A. Schrady, “A deterministic inventory model for repairable items,” Naval Research Logistics Quarterly, vol. 14, pp. 391–398, 1967.
[10]
S. Nahmias and H. Rivera, “A deterministic model for a repairable item inventory system with a finite repair rate,” International Journal of Production Research, vol. 17, no. 3, pp. 215–221, 1979.
[11]
K. Richter, “The EOQ repair and waste disposal model with variable setup numbers,” European Journal of Operational Research, vol. 95, no. 2, pp. 313–324, 1996.
[12]
K. Richter, “The extended EOQ repair and waste disposal model,” International Journal of Production Economics, vol. 45, no. 1–3, pp. 443–447, 1996.
[13]
K. Richter and I. Dobos, “Analysis of the EOQ repair and waste disposal problem with integer setup numbers,” International Journal of Production Economics, vol. 59, no. 1–3, pp. 463–467, 1999.
[14]
I. Dobos and K. Richter, “A production/recycling model with stationary demand and return rates,” Central European Journal of Operations Research, vol. 11, no. 1, pp. 35–46, 2003.
[15]
I. Dobos and K. Richter, “An extended production/recycling model with stationary demand and return rates,” International Journal of Production Economics, vol. 90, no. 3, pp. 311–323, 2004.
[16]
I. Dobos and K. Richter, “A production/recycling model with quality consideration,” International Journal of Production Economics, vol. 104, no. 2, pp. 571–579, 2006.
[17]
A. M. A. El Saadany and M. Y. Jaber, “A production/remanufacturing inventory model with price and quality dependant return rate,” Computers and Industrial Engineering, vol. 58, no. 3, pp. 352–362, 2010.
[18]
A. A. Alamri, “Theory and methodology on the global optimal solution to a general reverse logistics inventory model for deteriorating items and time-varying rates,” Computers and Industrial Engineering, vol. 60, no. 2, pp. 236–247, 2011.
[19]
C.-J. Chung and H.-M. Wee, “Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system,” International Journal of Production Economics, vol. 129, no. 1, pp. 195–203, 2011.
[20]
S. R. Singh and N. Saxena, “An optimal returned policy for a reverse logistics inventory model with backorders,” Advances in Decision Sciences, vol. 2012, Article ID 386598, 21 pages, 2012.
[21]
R. I. Levin, C. P. Mclaughlin, R. P. Lamone, and J. F. Kottas, Production, Operations Management: Contemporary Policy for Managing Operation System, vol. 373, McGraw-Hill, New York, NY, USA, 1972.
[22]
E. A. Silver and R. Peterson, Decision Systems for Inventory Management and Production Planning, John Wiley & Sons, New York, NY, USA, 2nd edition, 1985.
[23]
R. Gupta and P. Vrat, “Inventory model for stock-dependent consumption rate,” Opsearch, vol. 23, no. 1, pp. 19–24, 1986.
[24]
B. N. Mandal and S. Phaujdar, “An inventory model for deteriorating items and stock dependent consumption rate,” Journal Operational Research Society, vol. 40, pp. 483–488, 1989.
[25]
P. J. Schweitzer and A. Seidmann, “Optimizing processing rates for flexible manufacturing systems,” Management Science, vol. 37, no. 4, pp. 454–466, 1991.
[26]
B. C. Giri and K. S. Chaudhuri, “Deterministic models of perishable inventory with stock-dependent demand rate and nonlinear holding cost,” European Journal of Operational Research, vol. 105, no. 3, pp. 467–474, 1998.
[27]
S. Sana, S. K. Goyal, and K. S. Chaudhuri, “A production-inventory model for a deteriorating item with trended demand and shortages,” European Journal of Operational Research, vol. 157, no. 2, pp. 357–371, 2004.
[28]
J.-T. Teng and C.-T. Chang, “Economic production quantity models for deteriorating items with price- and stock-dependent demand,” Computers & Operations Research, vol. 32, no. 2, pp. 297–308, 2005.
[29]
S. R. Singh and R. Jain, “On reserve money for an EOQ model in an inflationary environment under supplier credits,” Opsearch, vol. 46, no. 3, pp. 303–320, 2009.
[30]
S. R. Singh, N. Kumar, and R. Kumari, “An inventory model for deteriorating items with shortages and stock-dependent demand under inflation for two-shops under one management,” Opsearch, vol. 47, no. 4, pp. 311–329, 2010.
[31]
I. Konstantaras and K. Skouri, “Lot sizing for a single product recovery system with variable setup numbers,” European Journal of Operational Research, vol. 203, no. 2, pp. 326–335, 2010.
[32]
D. Yadav, S. R. Singh, and R. Kumari, “Inventory model of deteriorating items with two-warehouse and stock dependent demand using genetic algorithm in fuzzy environment,” Yugoslav Journal of Operations Research, vol. 22, no. 1, pp. 51–78, 2012.
[33]
H. Dem and S. R. Singh, “Production scheduling for damageable items with demand and cost flexibility using genetic algorithm,” Advances in Intelligent and Soft Computing, vol. 131, pp. 747–759, 2012.
[34]
H. Dem and S. R. Singh, “A production model for ameliorating items with quality consideration,” International Journal of Operational Research, vol. 17, pp. 183–198, 2013.
[35]
S. K. Goyal, S. R. Singh, and H. Dem, “Production policy for ameliorating/deteriorating items with ramp type demand,” International Journal of Procurement Management, vol. 6, no. 4, pp. 444–465, 2013.