Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Supply-Chain Synchronization: Lessons from Hyundai Motor Company
Interfaces - supply-chain management
Supply-Chain Analysis at Volkswagen of America
Interfaces - supply-chain management
Generating labor requirements and rosters for mail handlers using simulation and optimization
Computers and Operations Research - Anniversary focused issue of computers & operations research on tabu search
A hybrid optimization/simulation approach for a distribution network design of 3PLS
Computers and Industrial Engineering - Special issue: Sustainability and globalization: Selected papers from the 32 nd ICC&IE
Travelocity Becomes a Travel Retailer
Interfaces
Impact of Partial Manufacturing Flexibility on Production Variability
Manufacturing & Service Operations Management
Survey: Facility location dynamics: An overview of classifications and applications
Computers and Industrial Engineering
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We introduce a novel methodology that integrates optimization and simulation techniques to obtain estimated global optimal solutions to combinatorial problems with uncertainty such as those of facility location, facility layout, and scheduling. We develop a generalized mixed integer programming (MIP) formulation that allows iterative interaction with a simulation model by taking into account the impact of uncertainty on the objective function value of previous solutions. Our approach is generalized, efficient, incorporates the impact of uncertainty of system parameters on performance and can easily be incorporated into a variety of applications. For illustration, we apply this new solution methodology to the NP-hard multi-period multi-product facility location problem (MPP-FLP). Our results show that, for this problem, our iterative procedure yields up to 9.4% improvement in facility location-related costs over deterministic optimization and that these cost savings increase as the variability in demand and supply uncertainty are increased.