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Integrated inventory and transportation decision for ubiquitous supply chain management

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Abstract

We consider price-dependent demand and develop an integrated inventory and transportation policy with strategic pricing to maximize the total profit for a ubiquitous enterprise. The proposed policy provides the optimal ordering, shipment and pricing decision. We first assume that demand for a product is a linear function of the price. A mathematical model for the total profit under quantity based dispatch is developed in consideration of ordering, shipment and pricing variables. Optimality properties for the model are then obtained and an efficient algorithm is provided to compute the optimal parameters for ordering, shipment and pricing decision. Finally, we extend our results to a more general case where demand for the product is a convex or a concave function of the price.

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References

  • Abad P. L. (1996) Optimal pricing and lot-sizing under conditions of perishability and partial backordering. Management Science 42(8): 1093–1104

    Article  Google Scholar 

  • Abad P. L. (2008) Optimal price and order size under partial backordering incorporating shortage, backorder and lost sale costs. International Journal of Production Economics 114: 179–186

    Article  Google Scholar 

  • Bakal I. S., Geunes J., Romeijn H. E. (2008) Market selection decisions for inventory models with price-sensitive demand. Journal of Global Optimization 41: 633–657

    Article  Google Scholar 

  • Bohlen M., Fabian J., Pfeifer D., Rinker J. T. (2005) Prototypes in pervasive computing. IEEE Pervasive Computing 4(4): 78–80

    Article  Google Scholar 

  • Bose I., Pal R. (2005) Auto-ID: Managing anything, anywhere, anytime in the supply chain. Communications of The ACM 48(8): 101–106

    Article  Google Scholar 

  • Cetinkaya S., Bookbinder J. H. (2003) Stochastic models for the dispatch of consolidated shipments. Transportation Research 37: 747–768

    Article  Google Scholar 

  • Cetinkaya S., Lee C. Y. (2002) Optimal outbound dispatch policies: Modeling inventory and cargo capacity. Naval Research Logistics 49: 531–556

    Article  Google Scholar 

  • Cetinkaya S., Mutlu F., Lee C. Y. (2006) A comparison of outbound dispatch policies for integrated inventory and transportation decision. European Journal of Operational Research 171: 1094–1112

    Article  Google Scholar 

  • Chen, G., & Kotz, D. (2000). A survey of context-aware mobile computing research, Techical Report RT2000-381. Department of Computer Science, Dartmouth College.

  • Chen F. Y., Wang T., Xu T. Z. (2005) Integrated inventory replenishment and temporal shipment consolidation: A comparison of quantity-based and time-based models. Annals of Operations Research 135: 197–210

    Article  Google Scholar 

  • Ching W.K., Tai A.H. (2005) A quantity-time-based dispatching policy for a VMI system, ICCSA 2005. Lecture Notes in Computer Science 3483: 342–349

    Article  Google Scholar 

  • Federgruen A., Heching A. (1999) Combined pricing and inventory control under uncertainty. Operations Research 47: 454–475

    Article  Google Scholar 

  • Günther H.-O., Seiler T. (2009) Operative transportation planning in consumer goods supply chains. Flexible Services and Manufacturing 21: 51–74

    Article  Google Scholar 

  • Hackenbroich G., Bornhovd C., Haller S., Schaper J. (2006) Optimizing business process by automatic data acquisition: RFID technology and beyond. In: Roussos G. (eds) Ubiquitous and pervasive commerce. Springer, London, pp 33–51

    Chapter  Google Scholar 

  • Hempenius A. L. (1970) Monopoly with random demand. Rotterdam University Press, Rotterdam

    Google Scholar 

  • Johnson, M. E. (2006) Ubiquitous Communication: Tracking Technologies within the Supply Chain. Trustees of Dartmouth CollegeMonopoly with random demand.

  • Jung, K. S., & Hwang, H. (2009). Competition and cooperation in a remanufacturing system with take-back requirement. Journal of Intelligent Manufacturing, Online first.

  • Kannegiesser, M., & Günther, H.-O. (2010). An integrated optimization model for managing the global value chain of a chemical commodities manufacturer. Journal of the Operational Research Society, Online first.

  • Kannegiesser M., Günther H.-O., van Beek P., Grunow M., Habla C. (2009) Value chain management for commodities: A case study from the chemical industry. OR Spectrum 31: 63–93

    Article  Google Scholar 

  • Karlin, S., & Carr, C. R. (1962). Prices and optimal inventory policies. In Karlin, S., & Scarf, H. (Eds.), Studies in applied probability and management science (pp. 159–172).

  • Kunreuther H., Schrage L. (1973) Joint pricing and inventory decisions for non-seasonal items. Econometrica 39: 173–175

    Article  Google Scholar 

  • Lau A. H., Lau H. (1988) The newsboy problem with price-dependent demand distribution. IIE Transactions 20: 168–175

    Article  Google Scholar 

  • Lau A. H., Lau H. (2003) Effects of a demand—curve’s shape on the optimal solutions of a multi-echelon inventory/pricing model. European Journal of Operational Research 147: 530–548

    Article  Google Scholar 

  • Mills E. S. (1959) Uncertainty and price theory. Quarterly Journal of Economics 73: 117–130

    Article  Google Scholar 

  • Moon I. K., Cha B. C., Lee C. U. (2011) The joint replenishment and freight consolidation of a warehouse in a supply chain. International Journal of Production Economics 133(1): 344–350

    Article  Google Scholar 

  • Polatoglu L. H. (1991) Optimal order quantity and pricing decisions in single period inventory systems. International Journal of Production Economics 23: 175–185

    Article  Google Scholar 

  • Portueus E. L. (1985) Investing in reduced set-ups in the EOQ model. Management Science 31(8): 998–1010

    Article  Google Scholar 

  • Ray S., Gerchak Y., Jewkes E. M. (2005) Joint pricing and inventory policies for make-to-stock products with deterministic price-sensitive demand. International Journal of Production Economics 97: 143–158

    Article  Google Scholar 

  • Roussos G. (2006) Supply chain management standards in ubiquitous commerce. In: Roussos G. (eds) Ubiquitous and pervasive commerce. Springer, London, pp 15–31

    Chapter  Google Scholar 

  • Sajadieh M. S., Jokar M. R. A. (2009) Optimizing shipment, ordering and pricing policies in a two-stage supply chain with price-sensitive demand. Transportation Research Part E. 45: 564–571

    Article  Google Scholar 

  • Schoenemann, N., Fischbach, K., & Schoder, D. (2009). P2P architecture for ubiquitous supply chain systems. 17th European conference on information systems.

  • Serrano V., Fischer T. (2007) Collaborative innovation in ubiquitous systems. Journal of Intelligent Manufacturing 18: 599–615

    Article  Google Scholar 

  • Su W. T., Kuo Y. H., Huang P. C. (2008) A QoS-driven approach for service-oriented device anycasting in ubiquitous environments. Computer Networks 52: 3342–3357

    Article  Google Scholar 

  • Takahashi, H., Suganuma, T., & Shiratori, N. (2005). AMUSE: an agent-based middleware for context-aware ubiquitous services. Proceedings of 11th IEEE International Conference on Parallel and Distributed Systems 1, 743–749.

  • Thiesse, F., Fleisch, E., & Dierkes, M. (2006). LotTrack: RFID-based process control in the semiconductor industry. Pervasive Computing, January–March, 47–53.

  • Weatherall J., Jones A. (2002) Ubiquitous networks and their applications. IEEE Wireless Communication 9(1): 18–29

    Article  Google Scholar 

  • Whitin T. (1955) Inventory control and price theory. Management Science 2: 61–68

    Article  Google Scholar 

  • Yang, K. H. (2008). Finding critical success factors of ubiquitous supply chain management. PACIS 2008 Proceedings.

  • Yassine, A. A. (2010). Parametric design adaptation for competitive products. Journal of Intelligent Manufacturing, Online first.

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Correspondence to Chulung Lee.

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Hong, Ks., Yeo, S.S., Kim, H.J. et al. Integrated inventory and transportation decision for ubiquitous supply chain management. J Intell Manuf 23, 977–988 (2012). https://doi.org/10.1007/s10845-011-0581-x

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  • DOI: https://doi.org/10.1007/s10845-011-0581-x

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