Abstract
PurposeTo establish a strategic resource allocation model to capture and encapsulate the complexity of the modern global supply chain management problem.Design/methodology/approachA mathematical model was constructed to describe the stochastic multiple‐period two‐echelon inventory with the many‐to‐many demand‐supplier network problem. Genetic algorithm (GA) was applied to derive optimal solutions through a two‐stage optimization process. A practical example and its solution were included to illustrate the GA‐based solution procedure.FindingsThe model simultaneously constitutes the inventory control and transportation parameters as well as price uncertainty factors.Originality/valueThe model can be utilized as a collaborative supply chain strategic planning tool to determine efficiently the appropriate inventory allocation and effectively manage the distribution/re‐distribution process according to real‐time demand.
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