Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89974
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Title: Joint pricing and inventory control with fixed and convex/concave variable production costs
Authors: Hu, P
Lu, Y
Song, M 
Issue Date: Apr-2019
Source: Production and operations management, Apr. 2019, v. 28, no. 4, p. 847-877
Abstract: This study considers a periodic-review joint pricing and inventory control problem for a single product, where production incurs a fixed cost plus a convex or concave variable cost. Our objective is to maximize the expected discounted profit over the entire planning horizon. We fully characterize the optimal policy for the single-period problem. As the optimal policy for the multi-period problem is too complicated to be implemented in practice, we develop well-structured heuristic policies, and establish worst-case performance bounds on the profit gap between the heuristic policies and the optimal policies. Numerical studies show that our heuristic policies perform extremely well. To further reveal the structural properties of the optimal policies, we also introduce two new concepts named κ-convexity and sym-κ-convexity, provide the associated preservation results, and then characterize the optimal policies.
Keywords: Dynamic programming
Inventory control
Pricing decision
Sym-κ-convexity
Κ-convexity
Publisher: Wiley-Blackwell
Journal: Production and operations management 
ISSN: 1059-1478
EISSN: 1937-5956
DOI: 10.1111/poms.12950
Rights: © 2018 Production and Operations Management Society
This is the peer reviewed version of the following article: Hu, P., Lu, Y. and Song, M. (2019), Joint Pricing and Inventory Control with Fixed and Convex/Concave Variable Production Costs. Prod Oper Manag, 28: 847-877, which has been published in final form at https://doi.org/10.1111/poms.12950. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
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