Tactical supply planning in smart manufacturing supply chain. (February 2019)

• Record Type: Journal Article
• Authors: Oh, Jisoo; Jeong, Bongju
• Is Part Of: Robotics and computer-integrated manufacturing. Volume 55(2019)Part B
• Page Start: 217
• Page End: 233
• Publication Date: 2019-02
• Subjects: Smart supply chain -- Smart manufacturing -- Planning model -- Supply chain performance -- Flexibility; Robots, Industrial -- Periodicals; Computer integrated manufacturing systems -- Periodicals; Robotics -- Periodicals; Robots industriels -- Périodiques; Productique -- Périodiques; Robotique -- Périodiques; 670.285
• DOI: 10.1016/j.rcim.2018.04.003
• Languages: English
• ISSNs: 0736-5845

Abstract

Highlights: We define a smart manufacturing supply chain (SMSC) and identify its attributes and characteristics. We propose a pseudo real-time decision-making restricted by execution time for tactical supply planning. We develop a tactical supply planning using profit rate as objective function. The tactical supply planning model includes a trade-off between profit and lead time, and optimal supply chain performance as profit per unit period for SMSC in this study. We develop cost-effective and response-efficient tactical supply planning model with flexibility. 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.