Remanufacturing Information Sharing Based-on P2P And Its Production Planning And Scheduling

As one way of waste disposal and important means of cyclic utilization of waste, the remanufacturing is of great significance to develop recycling economy, as well as to create environment-friendly and resource-saving society. At present, the remanufacturing is entering into practice stage in China, so that the problems involved in production management are becoming more and more prominent. The informed research has confirmed that the traditional planning and control tools can not be directly applied to remanufacturing, because of the uncertainty in remanufacturing system and the variability causing by additional uncertainty. Therefore, it is extremely necessary to study the remanufacturing production planning and scheduling under the influence of uncertain factors, which could be useful to manage the production activities effectively and to promote remanufacturing practice powerfully. Consequently, considering the adoption of information sharing to reduce the impact of uncertainty in the remanufacturing, production planning and scheduling in remanufacturing systems are studied in this paper, and the main work and innovation are as follows.(1) A model for remanufacturing information sharing based on P2P network is proposed, which is named ReMIS and aimed at the current characteristics and real demands of remanufacturing production. For the requirements of the highly dynamic remanufacturing network, the model employs two-layer hybrid structure based on physics clusters and topic clusters, in which upper layer is topic network composed of topic peers, lower layer is P2P network composed of common peers. ReMIS adoptes cluster-based resource sort-and-retrieval mechanisms, which can insure high query performance and reduce vocabulary semantic conflicts in remanufacturing production, when dealing with mass retrieval requests about remanufacturing resource information. Additionally, the application of publish/subscribe mechanism makes it possible for remanufacturing enterprise to obtain real-time information. The analysis of query performance indicates that ReMIS network was feasible and highly-efficient, and it can meet the demands of remanufacturing production systems.(2) An incentive model of remanufacturing information sharing is put forward. Employing the stage division theory of management information system, three stages of ReMIS are defined, according to the objective laws of development of things, as well as the development characteristics of remanufacturing industry. At the first stage, an example involved with a disassembly contractor and a processor is proposed. By using principal-agent theory, the incentive model is built to encourage disassembly contractor to share information, and the solution method is given. The analysis and discussion of this model illustrate that incentive mechanism is helpful to improve the enthusiasm of disassembly contractor to share information, and to cut down the added extra cost resulting from the changing of production plan. At the second stage, taking recycler as the object of study, using multi-dimensional game theory, a model is designed in which multi-recyclers carry on game based on enterprise reputation, sharing information and product market price simultaneously. The example analysis shows that multi-dimensional game among the enterprises can promote enterprises to share information, and the inputs of information sharing can speed up the construction of ReMIS, and encourage enterprises to expect greater profits. These can provide theoretical guidance for the design of incentive mechanism in remanufacturing, and provide a reference for establishing measures to accelerate the development of our country's remanufacturing industry. At the third stage, in view of some potential moral risk, an avoidance strategy is presented on the basis of credit standing mechanism.(3) A production planning model in remanufacturing environment which takes waste purchase capacity constraint into account, and its solution method are proposed. Aimed at the problem that the waste supply from Chinese remanufacturing enterprise is unstable and severely insufficient at the current stage, utilizing information entropy to predict market supply quantity, a single-product production planning model and its solution method is proposed under the remanufacturing environment which takes waste purchase capacity constraint into account. Moreover, through amending and adjusting follow-up production plan based on the shared information, the model is able to dynamically adapt to the changes of remanufacturing production, so the production plan can be optimized. The analysis by example shows that this method is suitable for solving current remanufacturing production planning problem of that purchase capacity of waste parts are limited, and it can timely amend and adjust production plan in response to the changes of the external environment.(4) A remanufacturing production scheduling model and its solution method are put forward. In view of variability of job process path, a multi-objective remanufacturing production scheduling model is proposed, and an improved genetic algorithm (GA) based on variable-length operation encoding method is proposed to solve this model. Then the GA operators and methods to identify chromosomes validity and reconstruct them are designed. Owing to the using of variable-length operation encoding method, the algorithm can achieve the optimal solution of remanufacturing production scheduling problem under the environment of random number of operation and order of operation. In the end, The simulation results verify the feasibility and validity of the algorithm, and shows that this method can be applied to solve Job-Shop scheduling problem for remanufacturing production.