An optimal policy for a lean supply chain control problem considering forecast accuracy

Kenichi Nakashima, Thitima Sornmanapong, Hans Ehm, Geraldine Yachi, Kimitoshi Sato

Research output: Contribution to journalArticle

Abstract

Since the automotive sector is a particularly powerful driver of growth for the semiconductor industry, some semiconductor companies are focusing on the automotive industry as a key market. This research gives an introduction to semiconductor products and their production. The current business conditions and challenges in a company at the time of research are presented, and the causes and effects on the semiconductor supply chain in terms of semiconductor inventory management are examined. This research focuses on problem formulation and solution procedures for inventory planning using Markov decision process models to recommend the decisions regarding finished goods inventory in a supply chain with stochastic demand. We first identify a Markov decision problem for an inventory model considering the chain's state space, transition probabilities and cost structure, and then obtain the optimal control policy that minimizes the expected cost under stochastic variability.

Original languageEnglish
Pages (from-to)135-146
Number of pages12
JournalJournal of Japan Industrial Management Association
Volume67
Issue number2E
Publication statusPublished - 2016 Jan 1
Externally publishedYes

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Keywords

  • Markov decision process
  • Optimal control policy
  • Semiconductor supply chain

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

Cite this

Nakashima, K., Sornmanapong, T., Ehm, H., Yachi, G., & Sato, K. (2016). An optimal policy for a lean supply chain control problem considering forecast accuracy. Journal of Japan Industrial Management Association, 67(2E), 135-146.