The optimisation of control parameters for supply multi-chains

The operations of supply multichains are active, mutual, and uncertain; therefore, their operations were designed by considering chains´ complicities and cooperative abilities. It can be applied by the parallel operations for the selection of single chain or multiple chains for supply chain management. The behaviours of supply multi-chains are established on rigorous associates and dynamic policies. For improving the integration efficiencies of chains´ resources needed to optimise the behaviours of the control parameters among the operations of supply multichains. In this research, a hybrid approach by combining fuzzy reasoning and genetic algorithms searches the optimal parameters settings for multiple supply chains. Genetic algorithm approach can consider all of the processes parameters in order to achieve the global optimum for multichains. Fuzzy genetic reasoning is applied to select key control parameters and traded off the ratio of key control parameters for the optimisation of supply multichains. Temporal postponement design selects the optimal combinations of supply multichains resources for cost reduction.