Coordinating Inventory and Pricing Decisions Under Total Minimum Commitment Contracts
Xiting Gong,
Youhua (Frank) Chen and
Quan Yuan
Production and Operations Management, 2022, vol. 31, issue 2, 511-528
Abstract:
A total minimum commitment contract is a supply contract under which a firm commits to buying a minimum quantity of a product from its supplier during the contract duration (e.g., 1 year). Such contracts are widely used in industries, because they provide the buyer with flexibility in terms of the timing and size of each order and the supplier with a guaranteed total order volume. Previous studies on such contracts have focused primarily on the firm's inventory decisions, and none of them has considered the coordination of inventory and pricing decisions. In this study, we fill this gap by studying dynamic inventory and pricing problems under a commitment contract. Under a general demand model with backlogging and zero lead time, we prove that the optimal policy is a committed‐inventory‐position‐dependent base‐stock list‐price policy and characterize its structural properties. We also conduct an extensive numerical study to derive further managerial insights. In particular, we find that dynamic pricing can substantially improve the firm's profitability and enables it to select contracts with large committed quantities and price discount rates, and that ignoring the commitment in joint pricing and ordering decisions can result in substantial profit loss. Finally, we partly extend our results to a lost‐sales model and a backlogging model with lead times.
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://doi.org/10.1111/poms.13556
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:popmgt:v:31:y:2022:i:2:p:511-528
Ordering information: This journal article can be ordered from
http://onlinelibrary ... 1111/(ISSN)1937-5956
Access Statistics for this article
Production and Operations Management is currently edited by Kalyan Singhal
More articles in Production and Operations Management from Production and Operations Management Society
Bibliographic data for series maintained by Wiley Content Delivery ().