Supply chain design and optimization: Challenges and opportunities

• Published in: Computers & chemical engineering Vol. 81; no. C; pp. 153 - 170
• Main Authors: Garcia, Daniel J., You, Fengqi
• Format: Journal Article
• Language: English
• Published: United Kingdom Elsevier Ltd 01.10.2015; Elsevier
• Subjects: Algorithms; Chemical engineering; Computation; Computer simulation; Energy and sustainability; EWO; Life cycle optimization; Mathematical models; Multi-scale modeling and optimization; Optimization; Renewable energy; Supply chains; Life cycle optimization; Energy and sustainability; EWO; Supply chains; Multi-scale modeling and optimization
• ISSN: 0098-1354; 1873-4375
• DOI: 10.1016/j.compchemeng.2015.03.015

•Enterprise-wide optimization yields research opportunities on supply chain design.•Research opportunities on supply chain design for energy and sustainability.•Key modeling and technical challenges in supply chain design.•Multi-scale, multi-objective, and multi-player design considerations.•Illustrative literature examples of possible methods to address the challenges. Optimal supply chain design is vital to the success of industrial concerns now more than ever before. This paper reviews some principal research opportunities and challenges in the field of supply chain design. The growing area of enterprise-wide optimization and the increasing importance of energy and sustainability issues provide plentiful opportunities for supply chain design research. However, modeling, algorithmic, and computational challenges arise from these research opportunities. There are three major technical challenge areas where knowledge gaps can be addressed in supply chain design, namely multi-scale challenges, multi-objective and sustainability challenges, and multi-player challenges. This paper provides an overview of opportunity areas, a description of relevant technical challenges, and a perspective on how these challenges might be addressed in supply chain design. Illustrative examples are presented to illuminate avenues for future research.