Intelligent self-designing production control strategy: Dynamic allocation hybrid pull-type mechanism applicable to closed-loop supply chains

摘要

The objective of this research is to establish an approach to select the best performing production control strategy for a Closed-Loop Supply Chain (CLSC) system with stochastic supply and demand. To test the operational performance of several pull-type production control strategies, a simulation-based methodology is applied to serial lines with variable processing times. The strategies experimented are: Hybrid Extended Kanban CONWIP (HEKC-II) with modifications, Hybrid Kanban CONWIP (HKC), Dynamic Allocation Hybrid Extended Kanban CONWIP (DNC HEKC-II) special case, Dynamic Allocation Hybrid Kanban CONWIP (DNC HKC) and the newly postulated Intelligent Self-Designing Production Control Strategy (ISD). The successful implementation and the highly positive experimental results for the new strategy provided a major shift of the Pareto performance frontier, simultaneously minimising the conflicting objectives of reducing customer demand backlog (by over 80%) and reducing the WIP (by over 22%) relative to an optimised HKC strategy, the control group.