The profit-maximization model for a multi-item distribution channel

This study focused on an area of emerging research: managing a multi-product and multi-echelon supply chain which produces and sells deteriorating goods in the marketplace. We formulated four profit-maximization models by considering the effects of channel coordination and a joint replenishment program on the supply-side cost control, taking into account the effect of the pricing scheme on demand and revenue increments. In addition, a profit-sharing mechanism based on channel rebates is proposed, which leads to Pareto improvements among the channel participants.

[1]  Awi Federgruen,et al.  The Joint Replenishment Problem with General Joint Cost Structures , 1992, Oper. Res..

[2]  A. Banerjee,et al.  An integrated JIT inventory model , 1995 .

[3]  Pinar Keskinocak,et al.  Dynamic pricing in the presence of inventory considerations: research overview, current practices, and future directions , 2003, IEEE Engineering Management Review.

[4]  T.-H. Chen,et al.  Effects of joint replenishment and channel coordination for managing multiple deteriorating products in a supply chain , 2005, J. Oper. Res. Soc..

[5]  M. Marn,et al.  Managing price, gaining profit. , 1992, Harvard business review.

[6]  Eric Sucky,et al.  Coordinated order and production policies in supply chains , 2004, OR Spectr..

[7]  P. Miranda,et al.  INCORPORATING INVENTORY CONTROL DECISIONS INTO A STRATEGIC DISTRIBUTION NETWORK DESIGN MODEL WITH STOCHASTIC DEMAND , 2004 .

[8]  S. Viswanathan,et al.  A New Optimal Algorithm for the Joint Replenishment Problem , 1996 .

[9]  R.E. Wildeman,et al.  An efficient optimal solution method for the joint replenishment problem , 1997 .

[10]  Terry A. Taylor,et al.  Supply Chain Coordination Under Channel Rebates with Sales Effort Effects , 2002, Manag. Sci..

[11]  E. Silver.  A Simple Method of Determining Order Quantities in Joint Replenishments Under Deterministic Demand , 1976 .

[12]  Diana Farrell.  Beyond offshoring: assess your company's global potential. , 2004, Harvard business review.

[13]  Richard Y. K. Fung,et al.  A new method for joint replenishment problems , 2001, J. Oper. Res. Soc..

[14]  M. Sodhi,et al.  Six Sigma pricing. , 2005, Harvard business review.

[15]  Murray R. Spiegel,et al.  Applied Differential Equations , 1967 .

[16]  Dev Joneja,et al.  The Joint Replenishment Problem: New Heuristics and Worst Case Performance Bounds , 1990, Oper. Res..

[17]  M.J.G. van Eijs,et al.  Multi-item inventory systems with joint ordering and transportation decisions , 1994 .

[18]  W. Maxwell,et al.  The Joint Replenishment Problem with a Powers-of-Two Restriction , 1985 .

[19]  S. Viswanathan,et al.  Coordinating supply chain inventories through common replenishment epochs , 2001, Eur. J. Oper. Res..

[20]  Sven Axsäter,et al.  A joint replenishment policy for multi-echelon inventory control , 1999 .

[21]  M. Khouja.  Optimizing inventory decisions in a multi-stage multi-customer supply chain , 2003 .

[22]  Bernard K.-S. Cheung,et al.  Solving the Multi-Buyer Joint Replenishment Problem with a Modified Genetic Algorithm , 1999 .

[23]  E. Andrew Boyd,et al.  Revenue Management and E-Commerce , 2003, Manag. Sci..

[24]  Wenyih Lee.  A joint economic lot size model for raw material ordering, manufacturing setup, and finished goods delivering , 2005 .

[25]  Ajay K Mishra,et al.  Selective discount for supplier-buyer coordination using common replenishment epochs , 2004, Eur. J. Oper. Res..

[26]  Hau L. Lee,et al.  DEMAND CHAIN EXCELLENCE: A TABLE OF TWO RETAILERS. , 2001 .

[27]  J. Gutiérrez,et al.  Policies for inventory/distribution systems: The effect of centralization vs. decentralization , 2003 .

[28]  Edward P. C. Kao,et al.  A Multi-Product Dynamic Lot-Size Model with Individual and Joint Set-up Costs , 1979, Oper. Res..

[29]  A. Banerjee.  A JOINT ECONOMIC-LOT-SIZE MODEL FOR PURCHASER AND VENDOR , 1986 .

[30]  M. J. Rosenblatt,et al.  The effectiveness of heuristic algorithms for multi-item inventory systems with joint replenishment costs , 1985 .

[31]  Robert J. Dolan,et al.  Power Pricing: How Managing Price Transforms the Bottom Line (Агрессивное ценообразование: как управление ценами трансформирует чистую прибыль) , 1997 .

[32]  M. Frohlich,et al.  Demand chain management in manufacturing and services: web-based integration, drivers and performance , 2002 .

[33]  J. B. G. Frenk,et al.  An efficient algorithm for a generalized joint replenishment problem , 1999, Eur. J. Oper. Res..

[34]  D. Sull,et al.  Managing by commitments. , 2003, Harvard business review.

[35]  Lu Lu.  A one-vendor multi-buyer integrated inventory model , 1995 .

[36]  R. H. Hollier,et al.  Computing optimal ( s, S ) policies for inventory systems with a cut-off transaction size and the option of joint replenishment , 2002 .

[37]  D. K. Bhattacharya.  On multi-item inventory , 2005, Eur. J. Oper. Res..

[38]  Awi Federgruen,et al.  The Joint Replenishment Problem with Time-Varying Costs and Demands: Efficient, Asymptotic and ε-Optimal Solutions , 1994, Oper. Res..

[39]  S. Viswanathan.  Note. Periodic Review s, S Policies for Joint Replenishment Inventory Systems , 1997 .

[40]  Tsung-Hui Chen,et al.  Optimizing Supply Chain Collaboration Based on Joint Replenishment and Channel Coordination , 2005 .

[41]  Ming-Jong Yao,et al.  A global optimum search algorithm for the joint replenishment problem under power-of-two policy , 2003, Comput. Oper. Res..

[42]  Christina Nielsen,et al.  An analytical study of the Q , 2005, Eur. J. Oper. Res..