Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/22354
標題: A study on the demand switching ratio for multiple products
多重產品間需求轉換比例之研究
作者: 謝家銘
Hsieh, Chia-Ming
關鍵字: Demand Reshape;需求重整;Risk Pooling;Multi-Product;Safety Stock;風險共擔;多重產品;安全存量
出版社: 科技管理研究所
引用: Baker, K. R., M. J. magazine, H. L. W. Nuttle. 1986. The effect of commonality on safety stock in a simple inventory model. Management Science 32 (8) 982-988. Chen, F., Drezner, Z., Ryan, J.K., Simchi-levi, D., 2000. Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead-times, and information. Management Science 46 (3), 436-443. Chen, M. S., C. T. Lin. 1989. Effects of centralization on expected costs in a multi-location newsboy problem. J. Oper. Res. Soc. 40(6) 597-602. Eppen, G. D. 1979. Effects of centralization on expected costs in a multi-location newsboy problem. Management Sci. 25(5) 498-501. Eynan A. and T. Fouque, 2003. Capturing the risk-pooling effect through demand reshape. Management Science 49 (6) 704-717. Eynan, A., M. J. Rosenblatt. 1996. Component commonality effects on inventory costs. IIE Trans. 28(2) 93-104. Eynan, A. 1999. The multi-location inventory centralization problem with first come, first served allocation. Eur. J. Oper. Res. 114(1) 38-49. Eynan, A. 1996. The impact of demands' correlation on the effectiveness of component commonality. Internat. J. Production Res. 34(6) 1581-1602. Gerchak, Y., M. J. Magazine, A. B. Gamble. 1988. Component commonality with service level requirements. Management Sci. 34(6) 753-760. Grieger, M., 2003. Electronic marketplaces: A literature review and a call for supply chain management research. European Journal of Operational Research 144, 280-294. Kalchschmidt, M., Zotteri, G., Verganti, R., 2003. Inventory management in a multi-echelon spare parts supply chain. International Journal of Production Economics 81-82, 397-413. McGillvray, A. R., E. A. Silver. 1978. Some concepts for inventory control under substitutable demand. Inform. Systems Oper. Res. 16(1) 47-63. Mehrez, A., A. Stulman. 1984. Priority centralization of the one period multi-location inventory system. ZOR-Z. Oper. Res. 28 B298-B304. Otto, A., Kotzab, H., 2003. Does supply chain management really pay? Six perspectives to measure the performance of managing a supply chain. European Journal of Operational Research 144, 306-320. Parlar, M., S. K. Goyal. 1984. Optimal ordering decisions for two substitutable products with stochastic demands. OPSEARCH 21(1) 1-15. Pasternak, B. A., Z. Drezner. 1991. Optimal inventory policies for substitutable commodities with stochastic demand. Naval Res. Logist. 32 221-240. Parlar, M. 1985. Optimal ordering policies for perishable and substitutable product: A Markov decision model. Inform. Systems Oper. Res. 23(2) 182-195. Peleg, B., Lee, H.L., Hausman, W.H., 2000. Short-term eprocurement strategies versus long-term contracts. Journal of Operations Management 11 (4), 458-479. Poirier, C.C., Bauer, M.J., 2001. E-supply Chain: Using the Internet to Stulman, A. 1987. Benefits of centralized stocking for the multicentre newsboy problem with first come, first served allocation. J. Oper. Res. Soc. 38(9) 827-832. Rau, H., Wu, M.Y., Wee, H.M., 2003. Integrated inventory model for deteriorating items under a multi-echelon supply chain environment. International Journal of Production Economics 86, 155-168. Revolutionize Your Business. Berrett-Koehler Publishers Inc., San Francisco. Rutten, W. G. M. M., J. W. M. Bertrand. 1993. Variable recipes: To use or not to use. Proc. 22nd Deutsche Gesellschaft Oper. Res./Netherlands Soc. Oper. Res. Conf., 239-247. Silver, A. E., D. F. Pyke, R. Peterson. 1998. Inventory Management and Production Planning and Scheduling. Wiley, New York. Srinagesh, G., Kapuscinski, R., Tayur, S., 1999. Value of information in capacitated supply chains. Management Science 45 (1), 16-24. Weele, A.V., 2000. Purchasing and Supply Chain Management: Analysis, Planning and Practice. Thomson Learning, London.
摘要: 
In many business management policies, the inventory management and decision - makings have been the very important of the business administration. Variability of products' demand frequently attracts managers' attention because of its costly implications. By carrying high inventory levels, firms may satisfy customers' orders and materialize high revenue in periods when demand is high, but often end up with excess inventory in periods when demand is low. On the other hand, carrying low inventory levels to avoid the costs of excess inventory may result in a poor service level and loss of potential profit.
We already know that using a framework with demand reshape to take advantage of the risk-pooling effect, with the required level of safety stock that the parent company sets to satisfy the quality of its services. It is demonstrated that a company can improve its profit by encouraging some of its customers, who intended to purchase one product to switch to another. The risk-pooling effect has been documented to benefit inventory systems by reducing the need for safety stock and consequently lowering costs such as inventory holding and shortage penalty.
In this research we use the above framework for companies that provide multiple products. In this study, we consider scenarios to do the demand switching by different ratio. We point out the influence of the demand switching in profit of the companies and provide an optima decision for the manager. At last, a numerical study is used to demonstrate the impact of demand reshape for multi-products.

經濟自由化、國際化後,全球市場的激烈競爭變的更劇烈,而目前領先的企業是供應鏈上的創新者,它們正以極高的速度拉大競爭的差距( Kalakota and Robinson,2000 )。然而,在複雜的供應鏈中,管理存貨是相當困難且可能供應鏈整體系統成本有顯著的影響( Simchi-Levi et al.,2000 )。就存貨管理的觀點而言,存貨並非資產而是成本的積壓,存貨不足雖然可能無法滿足客戶需求,流失部分訂單;然而過多的存貨亦會積壓公司資金。由此可知,若能把企業上下游相關的流程及供應鏈系統進行同步化整合,並有效的預測需求量,將能為企業節省大量成本。
我們已知使用需求重整(Demand Reshape)方法能有效的來降低整體成本,並維持可信賴的服務水準。所謂的需求重整方法乃是基於風險共擔(Risk-pooling)之原則(即有效降低安全庫存,進而降低成本),假設我們可以利用行銷方法,將顧客原先對於A產品的需求,轉移成對於B產品的需求,藉此取得在風險共擔中的優勢。
在本論文中,我們提出一種在多樣性產品架構下,結合需求重整的方法。用這架構來評估在多樣產品下,不同的需求移轉方式及移轉比率對於企業獲利(Profit)、與成本的會造成的影響,並找出最佳的結果。最終並透過數值分析來驗證我們的結果。
URI: http://hdl.handle.net/11455/22354
其他識別: U0005-2207200813575100
Appears in Collections:科技管理研究所

Show full item record
 

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.