Improving cross-docking operations for consumer goods sector using metaheuristics

This paper aims to model a consumer goods cross-docking problem, which is solved using metaheuristics minimize makespan and determine the capacity in terms of inbound outbound docks. The consumer-goods problem represented through docks, customer orders (products be delivered customers), as solution method. Simulated annealing (SA) particle swarm optimization (PSO) are implemented solve problem. Based on results statistical analysis, it was identified that two-way interaction effect between docks items, items most statistically significant response variable. best provides minimum 973.42 minutes considering nine twelve However, this study detected combination six represents efficient for design since reduces requirement by 28.6% increases only 4.2% when compared solution, representing favorable trade-off platform design.