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Modeling payment timing in multiechelon inventory systems with applications to supply chain coordination

Publication ,  Journal Article
Tong, J; DeCroix, G; Song, JS
Published in: Manufacturing and Service Operations Management
March 1, 2020

Problem definition: How can one adapt multiechelon inventory models to capture the cash flows generated by various payment-timing contracts? What competitive inventory policy behavior arises under these various payment-timing arrangements? Academic/practical relevance: Technology advancements are increasing the variety of payment triggers between supply chain stages. However, traditional multiechelon inventory models, which were originally developed for vertically integrated systems, do not explicitly account for payments flowing up the supply chain nor issues of payment timing between stages. Methodology: We introduce an analytical modeling methodology to incorporate financial inventory costs generated by payment-timing arrangements between stages in multiechelon inventory models. We also combine these methods with established inventory theory to study competitive inventory policies in a two-echelon system. Results: Under a class of payment-timing contracts, we show how to express payment flows at each stage in terms of standard physical inventory metrics and the demand-arrival process. We also show how to calculate the average inventory costs for each stage under given inventory policies and payment-timing contracts. In the two-echelon base-stock model, we first show that the cost of decentralization under standard wholesale price contracts is significantly driven by too much inventory at the supplier; it is not exclusively driven by too little inventory at the retailer as in the selling-to-the-newsvendor literature. We show that wholesale price contracts with a type of popular consignment payment timing still leads to too little inventory at the retailer. However, we prove there exists a wholesale price contract with partial consignment timing that can achieve the centralized inventory levels at both the supplier and the retailer. Managerial implications: Researchers can leverage our methodology to incorporate the price transfers and timing aspects of contracts in multiechelon inventory models. Our insights also help managers better understand the impact of prices and payment timing on decentralized chain behavior and performance.

Duke Scholars

Published In

Manufacturing and Service Operations Management

DOI

EISSN

1526-5498

ISSN

1523-4614

Publication Date

March 1, 2020

Volume

22

Issue

2

Start / End Page

346 / 363

Related Subject Headings

  • Operations Research
  • 4901 Applied mathematics
  • 3509 Transportation, logistics and supply chains
  • 1505 Marketing
  • 1503 Business and Management
  • 0102 Applied Mathematics
 

Citation

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Tong, J., DeCroix, G., & Song, J. S. (2020). Modeling payment timing in multiechelon inventory systems with applications to supply chain coordination. Manufacturing and Service Operations Management, 22(2), 346–363. https://doi.org/10.1287/MSOM.2018.0741
Tong, J., G. DeCroix, and J. S. Song. “Modeling payment timing in multiechelon inventory systems with applications to supply chain coordination.” Manufacturing and Service Operations Management 22, no. 2 (March 1, 2020): 346–63. https://doi.org/10.1287/MSOM.2018.0741.
Tong J, DeCroix G, Song JS. Modeling payment timing in multiechelon inventory systems with applications to supply chain coordination. Manufacturing and Service Operations Management. 2020 Mar 1;22(2):346–63.
Tong, J., et al. “Modeling payment timing in multiechelon inventory systems with applications to supply chain coordination.” Manufacturing and Service Operations Management, vol. 22, no. 2, Mar. 2020, pp. 346–63. Scopus, doi:10.1287/MSOM.2018.0741.
Tong J, DeCroix G, Song JS. Modeling payment timing in multiechelon inventory systems with applications to supply chain coordination. Manufacturing and Service Operations Management. 2020 Mar 1;22(2):346–363.

Published In

Manufacturing and Service Operations Management

DOI

EISSN

1526-5498

ISSN

1523-4614

Publication Date

March 1, 2020

Volume

22

Issue

2

Start / End Page

346 / 363

Related Subject Headings

  • Operations Research
  • 4901 Applied mathematics
  • 3509 Transportation, logistics and supply chains
  • 1505 Marketing
  • 1503 Business and Management
  • 0102 Applied Mathematics