Heuristics for the joint multi-item replenishment problem under trade credits

Yu Chung Tsao, Wei-Guang Teng

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This study deals with a joint multi-item replenishment problem under trade credit. Most existing studies about trade credit focus on a single-item replenishment policy. However, joint multi-item replenishment has been widely applied in many industries to take advantage of transport economies of scale. This paper extends the traditional inventory model by considering trade credit and multi-item replenishment in order to better reflect the real-world business situation. The objective is to determine the optimal replenishment schedule for each item while minimizing the total cost. Two heuristics, namely, cost balancing and extreme finding, are developed to resolve this problem. A numerical analysis illustrates the solution procedures and compares the two heuristics.

Original languageEnglish
Pages (from-to)63-77
Number of pages15
JournalIMA Journal of Management Mathematics
Volume24
Issue number1
DOIs
Publication statusPublished - 2013 Jan 1

Fingerprint

Trade Credit
Heuristics
Inventory Model
Costs
Balancing
Numerical analysis
Numerical Analysis
Industry
Resolve
Schedule
Extremes
Replenishment
Trade credit

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Modelling and Simulation
  • Economics, Econometrics and Finance(all)
  • Strategy and Management
  • Management Science and Operations Research
  • Applied Mathematics

Cite this

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Heuristics for the joint multi-item replenishment problem under trade credits. / Tsao, Yu Chung; Teng, Wei-Guang.

In: IMA Journal of Management Mathematics, Vol. 24, No. 1, 01.01.2013, p. 63-77.

Research output: Contribution to journalArticle

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