A deteriorating inventory model for an intermediary firm under return on inventory investment maximization

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October 2014, 10(4): 989-1000. doi: 10.3934/jimo.2014.10.989

A deteriorating inventory model for an intermediary firm under return on inventory investment maximization

Cheng-Kang Chen ^1, and Yi-Xiang Liao ^1,

1.	Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, Taiwan

Received April 2012 Revised September 2013 Published February 2014

Abstract
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This paper investigates how the intermediary firms can optimally determine the purchasing cycle length of a deteriorating product under return on inventory investment (ROII) maximization criterion. There are three key features differentiating this paper from the extant literature and being considered simultaneously in this paper, which are: 1) an alternative performance measurement (i.e., ROII) is proposed to formulate the inventory system; 2) the decision maker in this paper is an intermediary firm instead of a retailer; and 3) the deteriorating nature of products is considered. By incorporating the deteriorating nature of products and the special structure of the intermediary firm environments into the traditional economic order quantity model, the inventory problem encountered by the intermediary firm is mathematically formulated as a non-linear programming problem. Several interesting properties of the proposed inventory problem are developed and an efficient iterative algorithm is provided to search for the optimal solution. Also, the convergence of the iterative algorithm developed in this paper is proved. Finally, a numerical example is presented to illustrate the features of the proposed problem and the convergent search algorithm.

Keywords: Deteriorating product, inventory, ROII maximization, fixed-point iteration., intermediary firm.

Mathematics Subject Classification: Primary: 90B05; Secondary: 65H0.

Citation: Cheng-Kang Chen, Yi-Xiang Liao. A deteriorating inventory model for an intermediary firm under return on inventory investment maximization. Journal of Industrial and Management Optimization, 2014, 10 (4) : 989-1000. doi: 10.3934/jimo.2014.10.989

References:

[1]	R. L. Burden and J. D. Faires, Numerical Analysis, 3rd edition, Brooks Cole, 2001.
[2]	C.-K. Chen and K. J. Min, Optimal selling quantity and purchasing price for intermediary firms, International Journal of Operations & Production Management, 11 (1991), 64-68. doi: 10.1108/EUM0000000001291.
[3]	C.-K. Chen, Optimal determination of quality level, selling quantity and purchasing price for intermediate firms, Production Planning & Control, 11 (2000), 706-712. doi: 10.1080/095372800432179.
[4]	C.-K. Chen and Y.-X. Liao, Optimal purchasing cycle length of a deteriorating product for intermediary firms, Computational Optimization and Applications, 42 (2009), 289-301. doi: 10.1007/s10589-007-9080-6.
[5]	K.-J. Chung, P. Chu and S.-P. Lan, A note on EOQ models for deteriorating items under stock dependent selling rate, European Journal of Operational Research, 124 (2000), 550-559. doi: 10.1016/S0377-2217(99)00203-9.
[6]	C.-Y. Dye and L.-Y. Ouyang, An EOQ model for perishable items under stock-dependent selling rate and time-dependent partial backlogging, European Journal of Operational Research, 163 (2005), 776-783. doi: 10.1016/j.ejor.2003.09.027.
[7]	K. V. Geetha and R. Uthayakumar, Economic design of an inventory policy for non-instantaneous deteriorating items under permissible delay in payments, Computational and Applied Mathematics, 233 (2010), 2492-2505. doi: 10.1016/j.cam.2009.10.031.
[8]	P. M. Ghare and G. F. Schrader, A model for an exponentially decaying inventory, Journal of Industrial Engineering, 13 (1963), 238-243.
[9]	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, 105 (1998), 467-474. doi: 10.1016/S0377-2217(97)00086-6.
[10]	A. K. Jalan and K. S. Chaudhuri, Structural properties of an inventory system with deterioration and trended demand, International Journal of Systems Science, 30 (1999), 627-633. doi: 10.1080/002077299292137.
[11]	S. Ladany and A. Sternlieb, The interaction of economic ordering quantities and marketing policies, AIIE Transactions, 6 (1974), 35-40. doi: 10.1080/05695557408974930.
[12]	J. Li, K. J. Min, T. Otake and T. V. Voorhis, Inventory and investment in setup and quality operations under return on investment maximization, European Journal of Operational Research, 185 (2008), 593-605. doi: 10.1016/j.ejor.2006.11.045.
[13]	G. Padmanabhan and P. Vrat, EOQ models for perishable items under stock dependent selling rate, European Journal of Operational Research, 86 (1995), 281-292. doi: 10.1016/0377-2217(94)00103-J.
[14]	D. Rosenberg, Optimal price-inventory decisions: Profit vs. ROII, IIE Transactions, 23 (1991), 17-22. doi: 10.1080/07408179108963837.
[15]	W. M. Smith, An investigation of some quantitative relationships between breakeven point analysis and economic lot size theory, AIIE Transactions, 9 (1958), 52-57.
[16]	B. R. Sarker, S. Mukherjee and C. V. Balan, An order-level lot size inventory model with inventory-level dependent demand and deterioration, International Journal of Production Economics, 48 (1997), 227-236. doi: 10.1016/S0925-5273(96)00107-7.
[17]	R. G. Schroeder and R. Krishnan, Return on investment as a criterion for inventory models, Decision Sciences, 7 (1976), 697-704. doi: 10.1111/j.1540-5915.1976.tb00713.x.
[18]	E. A. Silver, D. F. Pyke and R. Peterson, Inventory Management and Production Planning and Scheduling, 3rd edition, John Wiley & Sons, New York, 1998.
[19]	D. F. Spulber, Market Microstructure: Intermediaries and the Theory of the Firm, Cambridge University Press, 1999. doi: 10.1017/CBO9780511625930.
[20]	O. Toshitsugu, K. J. Min and C.-K. Chen, Inventory and investmentin setup operations under return on investment maximization, Computers & Operations Research, 26 (1999), 883-899.
[21]	H.-M. Wee and S.-T. Law, Economic production lot size for deteriorating items taking account of the time-value of money, Computers & Operations Research, 26 (1999), 545-558. doi: 10.1016/S0305-0548(98)00078-1.

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References:

[1]	R. L. Burden and J. D. Faires, Numerical Analysis, 3rd edition, Brooks Cole, 2001.
[2]	C.-K. Chen and K. J. Min, Optimal selling quantity and purchasing price for intermediary firms, International Journal of Operations & Production Management, 11 (1991), 64-68. doi: 10.1108/EUM0000000001291.
[3]	C.-K. Chen, Optimal determination of quality level, selling quantity and purchasing price for intermediate firms, Production Planning & Control, 11 (2000), 706-712. doi: 10.1080/095372800432179.
[4]	C.-K. Chen and Y.-X. Liao, Optimal purchasing cycle length of a deteriorating product for intermediary firms, Computational Optimization and Applications, 42 (2009), 289-301. doi: 10.1007/s10589-007-9080-6.
[5]	K.-J. Chung, P. Chu and S.-P. Lan, A note on EOQ models for deteriorating items under stock dependent selling rate, European Journal of Operational Research, 124 (2000), 550-559. doi: 10.1016/S0377-2217(99)00203-9.
[6]	C.-Y. Dye and L.-Y. Ouyang, An EOQ model for perishable items under stock-dependent selling rate and time-dependent partial backlogging, European Journal of Operational Research, 163 (2005), 776-783. doi: 10.1016/j.ejor.2003.09.027.
[7]	K. V. Geetha and R. Uthayakumar, Economic design of an inventory policy for non-instantaneous deteriorating items under permissible delay in payments, Computational and Applied Mathematics, 233 (2010), 2492-2505. doi: 10.1016/j.cam.2009.10.031.
[8]	P. M. Ghare and G. F. Schrader, A model for an exponentially decaying inventory, Journal of Industrial Engineering, 13 (1963), 238-243.
[9]	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, 105 (1998), 467-474. doi: 10.1016/S0377-2217(97)00086-6.
[10]	A. K. Jalan and K. S. Chaudhuri, Structural properties of an inventory system with deterioration and trended demand, International Journal of Systems Science, 30 (1999), 627-633. doi: 10.1080/002077299292137.
[11]	S. Ladany and A. Sternlieb, The interaction of economic ordering quantities and marketing policies, AIIE Transactions, 6 (1974), 35-40. doi: 10.1080/05695557408974930.
[12]	J. Li, K. J. Min, T. Otake and T. V. Voorhis, Inventory and investment in setup and quality operations under return on investment maximization, European Journal of Operational Research, 185 (2008), 593-605. doi: 10.1016/j.ejor.2006.11.045.
[13]	G. Padmanabhan and P. Vrat, EOQ models for perishable items under stock dependent selling rate, European Journal of Operational Research, 86 (1995), 281-292. doi: 10.1016/0377-2217(94)00103-J.
[14]	D. Rosenberg, Optimal price-inventory decisions: Profit vs. ROII, IIE Transactions, 23 (1991), 17-22. doi: 10.1080/07408179108963837.
[15]	W. M. Smith, An investigation of some quantitative relationships between breakeven point analysis and economic lot size theory, AIIE Transactions, 9 (1958), 52-57.
[16]	B. R. Sarker, S. Mukherjee and C. V. Balan, An order-level lot size inventory model with inventory-level dependent demand and deterioration, International Journal of Production Economics, 48 (1997), 227-236. doi: 10.1016/S0925-5273(96)00107-7.
[17]	R. G. Schroeder and R. Krishnan, Return on investment as a criterion for inventory models, Decision Sciences, 7 (1976), 697-704. doi: 10.1111/j.1540-5915.1976.tb00713.x.
[18]	E. A. Silver, D. F. Pyke and R. Peterson, Inventory Management and Production Planning and Scheduling, 3rd edition, John Wiley & Sons, New York, 1998.
[19]	D. F. Spulber, Market Microstructure: Intermediaries and the Theory of the Firm, Cambridge University Press, 1999. doi: 10.1017/CBO9780511625930.
[20]	O. Toshitsugu, K. J. Min and C.-K. Chen, Inventory and investmentin setup operations under return on investment maximization, Computers & Operations Research, 26 (1999), 883-899.
[21]	H.-M. Wee and S.-T. Law, Economic production lot size for deteriorating items taking account of the time-value of money, Computers & Operations Research, 26 (1999), 545-558. doi: 10.1016/S0305-0548(98)00078-1.

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