Fiyata Bağımlı Deterministik Talep Varsayımı Altında Envanter Modellerini İnceleyen Bir Literatür Araştırması ve Sınıflandırması

Year 2017, Volume: 7 Issue: 1, 162 - 188, 15.03.2017

M. Edib Gürkana Gözde Cundu Kaya Mehmet Ferda Kaya

Abstract

Envanter ve fiyatlandırma kararları, arz ve talep sürecini doğrudan etkilemektedir. Son zamanlarda birçok işletme, bu kararların bir arada ele alınmasına ve böylelikle, arz ile talep arasında oluşması muhtemel açık riskinin en düşük düzeye indirilmesine odaklanmaktadır. Bu bağlamda, mamule ilişkin talep süreci fiyatlandırma stratejileri ile yönlendirilirken, envanter kararları ile arzın kontrol edilmesi sağlanmaktadır. Bu kararlar, işletme karlılığının arttırılması amacına hizmet etmektedir. Dolayısıyla, işletmeler, mümkün mertebe yüksek kar elde edebilmek için en uygun fiyat ve envanter kararlarının verilmesine ihtiyaç duymaktadırlar. Bu ihtiyaç, birçok araştırmacının, ilgili kararların elde edilmesine ilişkin matematiksel modeller geliştirmesi sonucunu doğurmaktadır. Bu çalışmada, fiyata bağımlı deterministik talep varsayımını altında eşgüdümlü envanter ve fiyatlandırma kararları problemini inceleyen çalışmalara ilişkin detaylı bir literatür taraması sunulmaktadır. Bu doğrultuda, ilk olarak literatürde sıklıkla kullanılan ve söz konusu problemi karakterize eden faktörler tanıtılmaktadır. Sonrasında, dayanıklı veya bozulma gösteren bir mamul için envanter ve fiyatlandırma problemine odaklanan çalışmalar karakteristik özelliklerine göre sınıflandırılmaktadır. Bununla beraber, geleceğe yönelik araştırma alanları için önerilerde bulunulmaktadır.

Keywords

Eşgüdümlü Envanter ve Fiyatlandırma Yönetimi

References

• Abad, P. L. (1988). Determining optimal selling price and lot size when the supplier offers all-unit quantity discounts. Decision Sciences, 622-634.
• Abad, P. L. (1996). Optimal Pricing and Lot-Sizing under Conditions of Perishability and Partial Backordering. Management Science, 1093-1104.
• Abad, P. L. (2001). Optimal price and order size for a reseller under partial backordering. Computers & Operations Research, 53-65.
• Abad, P. L. (2003). Optimal pricing and lot-sizing under conditions of perishability, finite production and partial backordering and lost sale. European Journal of Operational Research, 677-685.
• Abad, P. L. (2008). Optimal price and order size under partial backordering incorporating shortage, backorder and lost sale costs. International Journal of Production Economics , 179-186.
• Ahn, H.-s., Gümüş, M.ve Kaminsky, P. (2007). Pricing and manufacturing decisions when demand is a function of prices in multiple periods. Operations Research, 1039-1057.
• Axsater, S. (2006). Inventory control. New York: Springer Science & Business Media.
• Bajwa, N., Sox, C. R.ve Ishfaq, R. (2016). Coordinating pricing and production decisions for multiple products. Omega, 86–101.
• Begum, R., Sahoo, R.ve Sahu, S. (2012). A replenishment policy for items with price-dependent demand, time-proportional deterioration and no shortages. International Journal of Systems Science, 903-910.
• Begum, R., Sahoo, R., Sahu, S.ve Mishra, M. (2009). An EOQ model for varying items with Weibull distribution deterioration and price-dependent demand. Journal of Scientific Research, 24-36.
• Biller, S., Chan, L. M., Simchi-Levi, D.ve Swann, J. (2005). Dynamic pricing and the direct-to-customer model in the automotive industry. Electronic Commerce Research, 309-334.
• Caccetta, L.ve Mardaneh, E. (2010). Joint pricing and production planning for fixed priced multiple products with backorders. Journal of Industrial and Management Optimization, 123–147.
• Chan, L. M., Shen, Z. M., Simchi-Levi, D.ve Swann, J. L. (2004). Coordination of pricing and inventory decisions: A survey and classification. Handbook of quantitative supply chain analysis, 335-392.
• Chang, H.-J., Teng, J.-T., Ouyang, L.-Y.ve Dye, C.-Y. (2006). Retailer’s optimal pricing and lot-sizing policies for deteriorating items with partial backlogging. European Journal of Operational Research, 51-64.
• Chen, X.ve Hu, P. (2012). Joint pricing and inventory management with deterministic demand and costly price adjustment. Operations Research Letters, 385-389.
• Chen, X.ve Simchi-Levi, D. (2004). Coordinating inventory control and pricing strategies with random demand and fixed ordering cost: The finite horizon case. Operations Research, 887-896.
• Chen, X.ve Simchi-Levi, D. (2012). Pricing and inventory management. The Oxford handbook of pricing management, 784-822.
• Chen, Z.-L.ve Hall, N. G. (2010). The coordination of pricing and scheduling decisions. Manufacturing & Service Operations Management, 77-92.
• Cohen, M. A. (1977). Joint pricing and ordering policy for exponentially decay inventory with known demand. Naval Research Logistics Quarterly, 257-268.
• Deng, S.ve Yano, C. A. (2006). Joint production and pricing decisions with setup costs and capacity constraints. Management Science, 741-756.
• Dye, C.-Y. (2007). Joint pricing and ordering policy for a deteriorating inventory with partial backlogging. Omega, 184-189.
• Dye, C.-Y. (2012). A finite horizon deteriorating inventory model with two-phase pricing and time-varying demand and cost under trade credit financing using particle swarm optimization. Swarm and Evolutionary Computation, 37-53.
• Dye, C.-Y.ve Ouyang, L.-Y. (2011). A particle swarm optimization for solving joint pricing and lot-sizing problem with fluctuating demand and trade credit financing. Computers & Industrial Engineering, 127-137.
• Dye, C.-Y., Hsieh, T.-P.ve Ouyang, L.-Y. (2007a). Determining optimal selling price and lot size with a varying rate of deterioration and exponential partial backlogging. European Journal of Operational Research, 668-678.
• Dye, C.-Y., Ouyang, L.-Y.ve Hsieh, T.-P. (2007b). Inventory and pricing strategies for deteriorating items with shortages: A discounted cash flow approach. Computers & Industrial Engineering, 29-40.
• Eisner, M. J.ve Severance, D. G. (1976). Mathematical techniques for efficient record segmentation in large shared databases. Journal of the ACM (JACM), 619-635.
• Eliashberg, J.ve Steinberg, R. (1993). Marketing-production joint decision-making. Handbooks in operations research and management science, 827-880.
• Elmaghraby, W.ve Keskinocak, P. (2003). Dynamic pricing in the presence of inventory considerations: Research overview, current practices, and future directions. Management Science, 1287-1309.
• Geunes, J., Merzifonluoğlu, Y.ve Romeijn, H. E. (2009). Capacitated procurement planning with price-sensitive demand and general concave-revenue functions. European Journal of Operational Research, 390-405.
• Gilbert, S. M. (1999). Coordination of pricing and multi-period production for constant. European Journal of Operational Research, 330-337.
• Gilbert, S. M. (2000). Coordination of pricing and multiple-period production across multiple constant priced goods. Management Science, 1602-1616.
• Hwang, H.ve Shinn, S. W. (1997). Retailer's pricing and lot sizing policy for exponentially deteriorating products under the condition of permissible delay in payments. Computers & Operations Research, 539-547.
• Kang, S.ve Kim, I.-T. (1983). A study on the price and production level of the deteriorating inventory system. International Journal of Production Research, 899-908.
• Karmarkar, U. S.ve Lele, M. M. (2005). The marketing/manufacturing interface: strategic issues. 311-328.
• Kim, D.ve Lee, W. J. (1998). Optimal joint pricing and lot sizing with fixed and variable capacity. European Journal of Operational Research, 212-227.
• Kunreuther, H.ve Richard, J. F. (1971). Optimal pricing and inventory decisions for non-seasonal items. Econometrica: Journal of the Econometric Society, 173-175.
• Kunreuther, H.ve Schrage, L. (1973). Joint pricing and inventory decisions for constant priced items. Management Science, 732-738.
• Lee, W. J. (1993). Determining order quantity and selling price by geometric programming: optimal solution, bounds, and sensitivity. Decision Sciences, 76-87.
• Maihami, R.ve Kamalabadi, I. N. (2012). Joint pricing and inventory control for non-instantaneous deteriorating items with partial backlogging and time and price dependent demand. International Journal of Production Economics, 116-122. Mardaneh, E.ve Caccetta, L. (2013). Optimal pricing and production planning for multi-product multi-period systems with backorders. Journal of Optimization Theory and Applications, 896-917.
• Mardaneh, E.ve Caccetta, L. (2015). Impact of price-adjustments costs on integration of pricing and production planning of multiple-products. Optimization Letters, 119-142.
• Mukhopadhyay, S., Mukherjee, R.ve Chaudhuri, K. (2004). Joint pricing and ordering policy for a deteriorating inventory. Computers & Industrial Engineering, 339-349.
• Mukhopadhyay, S., Mukherjee, R.ve Chaudhuri, K. (2005). An EOQ model with two-parameter Weibull distribution deterioration and price-dependent demand. International Journal of Mathematical Education in Science and Technology, 25-33.
• Nahmias, S. (1982). Perishable Inventory Theory: A Review. Operations Research, 680-708.
• Papachristos, S.ve Skouri, K. (2003). An inventory model with deteriorating items, quantity discount, pricing and time-dependent partial backlogging. International Journal of Production Economics, 247-256.
• Rajan, A., Steinberg, R.ve Steinberg, R. (1992). Dynamic Pricing and Ordering Decisions by a Monopolist. Management Science, 240-262.
• Ray, S., Gerchak, Y.ve Jewkes, E. M. (2005). Joint pricing and inventory policies for make-to-stock products with deterministic price-sensitive demand. International Journal of Production Economics , 143-158.
• Roy, A. (2008). An inventory model for deteriorating items with price dependent demand and time varying holding cost. Advanced modeling and optimization, 25-37.
• Sahay, A. (2007). How to reap higher profits with dynamic pricing. MIT Sloan management review, 53-60.
• Sana, S. S. (2010). Optimal selling price and lotsize with time varying deterioration and partial backlogging. Applied Mathematics and Computation, 185-194.
• Sana, S. S. (2011). Price-sensitive demand for perishable items--an EOQ model. Applied Mathematics and Computation, 6248-6259.
• Taha, H. A. (1982). Operations Research: An Introduction. Pearson Education India.
• Talluri, K. T.ve Van Ryzin, G. J. (2006). The theory and practice of revenue management. Springer Science & Business Media.
• Teng, J.-T., Chang, C.-T.ve Goyal, S. K. (2005). Optimal pricing and ordering policy under permissible delay in payments. International Journal of Production Economics, 121-129.
• Teng, J.-T., Ouyang, L.-Y.ve Chen, L.-H. (2007). A comparison between two pricing and lot-sizing models with partial backlogging and deteriorated items. International Journal of Production Economics, 190-203.
• Thomas, J. (1970). Price-production decisions with deterministic demand. Management Science, 747-750.
• Transchel, S.ve Mirner, S. (2008). Coordinated lot-sizing and dynamic pricing under a supplier all-units quantity discount. Business Research, 125-141.
• Tripathy, C.ve Mishra, U. (2010). An inventory model for Weibull deteriorating items with price dependent demand and time-varying holding cost. Applied Mathematical Sciences, 2171-2179.
• Tsao, Y.-C. (2010). Two-phase pricing and inventory management for deteriorating and fashion goods under trade credit. Mathematical Methods of Operations Research, 107-127.
• Tsao, Y.-C.ve Sheen, G.-J. (2007). Joint pricing and replenishment decisions for deteriorating items with lot-size and time-dependent purchasing cost under credit period. International Journal of Systems Science, 549-561.
• Van den Heuvel, W.ve Wagelmans, A. P. (2006). A polynomial time algorithm for a deterministic joint pricing and inventory model. European Journal of Operational Research, 463-480.
• Wagner, H. M.ve Whitin, T. M. (1958a). Dynamic Problems in the Theory of the Firm. Naval Research Logistics Quarterly, 53-74.
• Wagner, H. M.ve Whitin, T. M. (1958b). Dynamic version of the economic lot size model. Wagner, Harvey M and Whitin, Thomson M, 89-96.
• Wee, H.-M. (1997). A replenishment policy for items with a price-dependent demand and a varying rate of deterioration. Production Planning & Control, 494-499.
• Wee, H.-M. (1999). Deteriorating inventory model with quantity discount, pricing and partial backordering. International Journal of Production Economics, 511-518.
• Whitin, T. M. (1955). Inventory control and price theory. Management science, 61-68.
• Yang, C.-T., Ouyang, L.-Y.ve Wu, H.-H. (2009). Retailer's optimal pricing and ordering policies for non-instantaneous deteriorating items with price-dependent demand and partial backlogging. Mathematical Problems in Engineering.
• Yano, C. A.ve Gilbert, S. M. (2005). Coordinated pricing and production/procurement decisions: A review. Managing Business Interfaces, 65-103.
• Zhang, R. (2013). An Introduction to Joint Pricing and Inventory Management under Stochastic Demand. Zhu, K.ve Thonemann, U. W. (2009). Coordination of pricing and inventory control across products. Naval Research Logistics (NRL), 175-190.