DOI: https://doi.org/10.15368/theses.2016.24
Available at: https://digitalcommons.calpoly.edu/theses/1610
Date of Award
3-2016
Degree Name
MS in Industrial Engineering
Department/Program
Industrial and Manufacturing Engineering
Advisor
Reza Pouraghabagher
Abstract
Enterprises with a global supply network are at risk of lost revenue as a result of disruptive disasters at supplier locations. Various strategies exist for addressing this risk, and a variety of types of research has been done regarding the identification, assessment and response to the risk of disruption in a supply chain network.
This thesis establishes a decision model to support Business Continuity Planning at the first-tier supplier level. The decision model incorporates discrete-event simulation of supply chain networks (through Simio software), Monte Carlo simulation, and risk index optimization. After modeling disruption vulnerability in a supply chain network, costs of implementing all combinations of Business Continuity Plans are ranked and then tested in discrete-event simulation for further insight into inventory levels, unmet customer demand, production loss and related costs.
A case study demonstrates the implementation of the decision support process and tests a historical set of data from a large manufacturing company. Discrete-event simulation modeling of loss is confirmed to be accurate. The relevance of the model concept is upheld and recommendations for future work are made.
Included in
Business Administration, Management, and Operations Commons, Business Intelligence Commons, Industrial Engineering Commons, Operational Research Commons, Risk Analysis Commons