| dc.description.abstract | In a supply chain, it is an important issue for logistic managers to offset the replenishment cycles of multiple products sharing a warehouse so as to minimize the maximum warehouse space requirement (MWSR). Most of the studies in the literature assume that warehouses replenish at the beginning of some basic planning period. In this paper, we relax this assumption by allowing the warehouse to replenish at any time. In order to solve this problem, we conduct a Mix-integer programming model to minimized the maximum storage space requirement over an infinite time horizon by offsetting the inventory cycles of times, also develop a Grey Wolf Optimization to find the near-optimal solution. GWO is used to solve the problem in the reference and compared to the previous method (GA and MIP). Finally, the result of GWO will be applied in real case study of a company in Viet Nam
Keywords: Offsetting inventory cycle, warehouse space, Mix-integer programming model, Grey Wolf Optimizer, Genetic algorithms | en_US |
