Optimizing Strategic Safety Stock Placement in Supply Chains
Manufacturing & Service Operations Management
A Supply Network Model with Base-Stock Control and Service Requirements
Operations Research
An advanced supply chain management tool based on modeling and simulation
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
New model and heuristics for safety stock placement in general acyclic supply chain networks
Computers and Operations Research
Two inventory review policies on supply chain configuration problem
Computers and Industrial Engineering
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We address how to configure the supply chain for a new product for which the design has already been decided. The central question is to determine what suppliers, parts, processes, and transportation modes to select at each stage in the supply chain. There might be multiple options to supply a raw material, to manufacture or assemble the product, and to transport the product to the customer. Each of these options is differentiated by its lead time and direct cost added. Given these various choices along the supply chain, the configuration problem is to select the options that minimize the total supply chain cost. We develop a dynamic program with two state variables to solve the supply chain configuration problem for supply chains that are modeled as spanning trees. We illustrate the problem and its solution with an industrial example. We use the example to show the benefit from optimization relative to heuristics and to form hypotheses concerning the structure of optimal supply chain configurations. We conduct a computational experiment to test these hypotheses.