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Capacitated procurement planning with price-sensitive demand and general concave-revenue functions

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  • Geunes, Joseph
  • Merzifonluoglu, Yasemin
  • Romeijn, H. Edwin

Abstract

This paper develops effective solution methods for discrete-time, finite-horizon procurement planning problems with economies of scale in procurement, price-sensitive demand, and time-invariant procurement capacities. Our models consider general concave-revenue functions in each time period, and seek to maximize total revenue less procurement and inventory holding costs. We consider the case in which prices may vary dynamically, as well the important practical case in which a constant price is required during the planning horizon. Under mild conditions on the revenue function properties, we provide polynomial-time solution methods for this problem class. The structural properties of optimal solutions that lead to efficient solution methods also serve to sharpen intuition regarding optimal demand management strategies in complex planning situations.

Suggested Citation

  • Geunes, Joseph & Merzifonluoglu, Yasemin & Romeijn, H. Edwin, 2009. "Capacitated procurement planning with price-sensitive demand and general concave-revenue functions," European Journal of Operational Research, Elsevier, vol. 194(2), pages 390-405, April.
    • Handle: RePEc:eee:ejores:v:194:y:2009:i:2:p:390-405
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    References listed on IDEAS

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    1. Shiming Deng & Candace A. Yano, 2006. "Joint Production and Pricing Decisions with Setup Costs and Capacity Constraints," Management Science, INFORMS, vol. 52(5), pages 741-756, May.
    2. Joseph Geunes & H. Edwin Romeijn & Kevin Taaffe, 2006. "Requirements Planning with Pricing and Order Selection Flexibility," Operations Research, INFORMS, vol. 54(2), pages 394-401, April.
    3. Stephen M. Gilbert, 2000. "Coordination of Pricing and Multiple-Period Production Across Multiple Constant Priced Goods," Management Science, INFORMS, vol. 46(12), pages 1602-1616, December.
    4. Howard Kunreuther & Linus Schrage, 1973. "Joint Pricing and Inventory Decisions for Constant Priced Items," Management Science, INFORMS, vol. 19(7), pages 732-738, March.
    5. van den Heuvel, Wilco & Wagelmans, Albert P.M., 2006. "A polynomial time algorithm for a deterministic joint pricing and inventory model," European Journal of Operational Research, Elsevier, vol. 170(2), pages 463-480, April.
    6. Joseph Thomas, 1970. "Price-Production Decisions with Deterministic Demand," Management Science, INFORMS, vol. 16(11), pages 747-750, July.
    7. Gilbert, Stephen M., 1999. "Coordination of pricing and multi-period production for constant priced goods," European Journal of Operational Research, Elsevier, vol. 114(2), pages 330-337, April.
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    Cited by:

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    2. Xin Chen & Peng Hu & Zhenyu Hu, 2017. "Efficient Algorithms for the Dynamic Pricing Problem with Reference Price Effect," Management Science, INFORMS, vol. 63(12), pages 4389-4406, December.
    3. Bajwa, Naeem & Sox, Charles R. & Ishfaq, Rafay, 2016. "Coordinating pricing and production decisions for multiple products," Omega, Elsevier, vol. 64(C), pages 86-101.
    4. Wu, Cheng-Hung & Chuang, Ya-Tang, 2010. "An innovative approach for strategic capacity portfolio planning under uncertainties," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1002-1013, December.
    5. Wu, Xiang & (Yale) Gong, Yeming & Xu, Haoxuan & Chu, Chengbin & Zhang, Jinlong, 2017. "Dynamic lot-sizing models with pricing for new products," European Journal of Operational Research, Elsevier, vol. 260(1), pages 81-92.

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