Abstract: Reverse supply chain services is an important operation and management model of resource recovery and comprehensive utilization. For the modular and matching problems caused by complex and diverse service resources, the concept of reverse supply chain conceptual services is put forward based on analyzing the process of reverse supply chain services. In order to get the optimal combining scheme of service activities and service partners to meet customer requirements, a two-hierarchy conceptual service module matching frame model of reverse supply chain is constructed, and its two-hierarchy matching method is proposed. As the empirical knowledge of functional service module combination is difficult to quantitatively measure, a matching model of the functional service extraction module basis on vector space model is constructed. As the multi-objective including service response time, service cost and service quality often conflicting in the optimization, a multi-objective optimization model for matching service providers’ knowledge module is constructed. The non-dominated sorting genetic algorithm II (NSGA-II) is adopted to solve this optimization problem and get the Pareto optimization. The optimal solution to meet customer demand preference is get form the Pareto optimization via the weighting combination, and then the result is used to direct the selection for service providers. The feasibility and availability of the service module matching method are proved by the case of scrap steel reverse supply service for one iron and steel enterprise.

Key words: conceptual service module, framework model, multi-objective genetic algorithm, service module matching, reverse supply chain services