Optimal purchasing policy in a two-component assembly system with different purchasing contracts for each component

Eungab Kim, Kaphoon Lee, Suk Ho Kang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper considers an assembly system where a firm produces a single product which is assembled using two types of components (component 1 and component 2). The components are provided by individual suppliers (supplier 1 and supplier 2). We assume that the firm makes different procurement contracts with supplier 1 and supplier 2. To supplier 1, the firm specifies the maximum inventory level of component 1 and makes a commitment to purchase the component as long as its inventory level is below this target level. To supplier 2, the firm has the option of purchasing or rejecting component 2 at each instant supplier 2 provides it. Formulating our model as a Markov decision problem, we identify a component 2 purchasing policy which maximizes the firm's profits subject to the costs of rejecting component 1, holding component 2, and purchasing component 2. We also investigate how the changes in the sales price and cost parameters affect the optimal purchasing policy. Finally, we present numerical study for the optimal performance evaluation.

Original languageEnglish
Pages (from-to)301-327
Number of pages27
JournalMathematical Methods of Operations Research
Volume63
Issue number2
DOIs
StatePublished - May 2006

Keywords

  • Assembly
  • Markov decision processes
  • Purchasing policy
  • Sensitivity analysis
  • Supply contract

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