Resilient Global Supply Chain Network Design Optimization
Open Access
- Author:
- Portillo Bollat, Rodolfo Carlos
- Graduate Program:
- Industrial Engineering
- Degree:
- Doctor of Philosophy
- Document Type:
- Dissertation
- Date of Defense:
- December 11, 2008
- Committee Members:
- Richard A Wysk, Dissertation Advisor/Co-Advisor
A. Ravi Ravindran, Committee Chair/Co-Chair
Richard Allen Wysk, Committee Chair/Co-Chair
Vittaldas V Prabhu, Committee Member
Fariborz Ghadar, Committee Member
Felisa Del Carmen Preciado, Committee Member - Keywords:
- optimization under uncertainty
stochastic optimization
multi-criteria
multiple criteria
distribution network
network optimization
supply chain design
supply chain
exchange rate uncertainty
costs uncertainty
demand uncertainty
profitability optimization
profit optimization - Abstract:
- In addition to the financial measures used in supply chain structure decisions, there is a need to integrate customer service, disruption risk and other strategic criteria into supply chain planning and control. This research deals with the development of methods for designing a resilient and responsive global supply chain network considering manufacturing and distribution facilities that service multiple international markets. The emphasis is on developing global multi-criteria optimization models to help determining optimal supply chain designs to support specific competitive strategies along multiple time periods. Linear and integer mathematical programming models considering uncertainty of key parameters have been developed to aid in a multiple echelon supply chain design process, including manufacturing and distribution facilities location/allocation selection, capacity and expansion requirements, production and distribution network variables, international issues, exchange rates, lead-times, and transfer prices. The model also includes the definition of a set of supply chain design selection criteria that integrates financial, customer service, risk and strategic factors based on multi-criteria selection techniques. The models are applied to a real-world and large-scale supply chain network of a global leading multi-national company in the health and hygiene industry.