Tactical supply planning in smart manufacturing supply chain

Jisoo Oh, Bong Ju Jeong

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

With the fast change of information and communication technologies and global economics, manufacturing industry faces the challenges in both market and supply sides. The challenges in the market include short product life cycle, demand uncertainty, and product customization. Accordingly, supply challenges are the dramatic increase of flexibility in productions and complexity in the supply chain, which result from the changes in the industry and rapid development of ICPT (Information, Communication, and Production Technologies). In this study, we consider a supply chain converged with ICPT, called Smart Manufacturing Supply Chain (SMSC). By investigating the attributes of SMSC, we identify the functional and structural characteristics of SMSC. Tactical supply planning in SMSC recognizes the ability of a pseudo real-time decision-making constrained by the planning horizon. In order to take advantages of SMSC, this study develops a profit-effective and response-efficient tactical supply planning model to find an optimal trade-off between profit and lead time. The model determines the optimal supply throughput during a planning horizon, called Smart Supply Chain Performance (SSCP) as a performance measure for SMSC. The proposed model is investigated and validated using comprehensive numerical experiments and managerial insights are addressed.

Original languageEnglish
Pages (from-to)217-233
Number of pages17
JournalRobotics and Computer-Integrated Manufacturing
Volume55
DOIs
Publication statusPublished - 2019 Feb 1

Fingerprint

Supply Chain
Supply chains
Manufacturing
Planning
Profit
Horizon
Communication
Profitability
Demand Uncertainty
Manufacturing Industries
Information and Communication Technology
Customization
Performance Measures
Life Cycle
Life cycle
Industry
Throughput
Trade-offs
Decision making
Decision Making

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Mathematics(all)
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Cite this

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Tactical supply planning in smart manufacturing supply chain. / Oh, Jisoo; Jeong, Bong Ju.

In: Robotics and Computer-Integrated Manufacturing, Vol. 55, 01.02.2019, p. 217-233.

Research output: Contribution to journalArticle

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