Research On Logistics Outsourcing Risk Management Of Equipment Manufacturing Enterprises

Currently, outsourcing has become one of the important trends of the logistics industry. Have a profound understanding of the important role of the supply and demand sides, but in practice, the logistics outsourcing difficult, often interrupted, or even failure. Reveal the equipment manufacturing industry, logistics outsourcing risk evaluation and analysis of the logistics outsourcing risk control, risk monitoring, the research equipment manufacturing logistics outsourcing risk management of the contractor selection, and for the promotion of domestic enterprise logistics outsourcing and the development of the domestic logistics industry has important theoretical significance and application value. Logistics outsourcing risk management of the equipment manufacturing industry, on the basis of previous studies, the actual characteristics of the logistics outsourcing risk for China’s equipment manufacturing industry, the use of literature analysis, expert interviews, management and decision analysis methods, qualitative analysis and quantitative analysis method of combining, in accordance with the evaluation of the risk-risk control Risk management contractor selection is a logical process to commence progressive layers, more systematic and comprehensive study of China’s equipment manufacturing the industry logistics outsourcing risk evaluation, control their choice of contractor.First chapter starting from the equipment manufacturing industry development status and health analysis to explore the theory of risk management, enterprise logistics outsourcing theory, agency theory, real options theory, cybernetics. These elements together form the theoretical basis of the equipment manufacturing industry, logistics outsourcing risk management.Then, according to the actual situation of the equipment manufacturing industry, logistics outsourcing risk, set up the equipment manufacturing industry, logistics outsourcing risk evaluation framework. The team nominations mode empirical analysis, prioritization of the equipment manufacturing industry, logistics outsourcing risk outsourcing decision-making mistakes was obtained through a questionnaire survey, logistics outsourcing risk control equipment manufacturing industry, mainly the contractor selection errors and inaccurate demand, the use of logistics outsourcing risk structure of systems engineering Interpretative Structural Modeling (ISM) method of the equipment manufacturing industry, the empirical analysis through questionnaires, the mental model of the equipment manufacturing industry unsuccessful logistics outsourcing risk factors, and then through the matrix operations, the equipment manufacturing industry the logistics outsourcing unsuccessful four Hierarchical to the hierarchy model, model, and equipment manufacturing industry, logistics outsourcing risk management made some suggestions.Third, for the equipment manufacturing industry, logistics outsourcing risk evaluation of group decision-making in the presence of uncertainty and complexity of the problem, this paper proposed Fuzzy Rough Group Decision Making Model ((FuzzyRough Group, Decision-Making. FRGDM) for the evaluation of the equipment manufacturing industry logistics The outsourcing risk new ideas and in-depth discussion of several key issues in the FRGDM model, including attribute reduction, attribute evaluators weights calculated and integrated risk assessment model to maintain the advantages of fuzzy group decision-making to avoid evaluation deviation, personal preferences to improve the accuracy and efficiency of the evaluation, which has been verified in the equipment manufacturing enterprise logistics outsourcing risk management project evaluation group decision making.Fourth, the paper on the basis set forth in logistics outsourcing risk evaluation of the equipment manufacturing industry, the equipment manufacturing industry, logistics outsourcing risk and risk factors were analyzed in detail. Real options theory and care agency theory to analyze the quality of the implementation process of the equipment manufacturing industry, the cost of logistics outsourcing risk control and equipment manufacturing logistics outsourcing risk control. On this basis, building the value of risk assessment, risk control costs, the risk of loss, including multi-target risk control model.Fifth, this paper presents the integrated spiral model based the VPFRS equipment manufacturing logistics outsourcing risk monitoring. Discusses the equipment manufacturing industry, logistics outsourcing risk analysis the difficulty and VPFRS applicable reason this field, then the process of mining equipment manufacturing industry, logistics outsourcing risk rules; proposed two methods, that is allowed to set down and the best classification error the interval rule mining method to study the dependence calculated the generalized rule mining rule criteria, decision rules, and how to choose the best key issues allow classification error intervals. Provided examples prove that the algorithm has strong rule mining capacity, fault tolerance and robustness, and high computational efficiency advantages, and the spiral monitoring model to assist decision-makers to better analyze and control equipment manufacturing industry, logistics outsourcing risk.Sixth, the the logistics outsourcing success or failure of the equipment manufacturing industry largely depends on the selection of the contractor, most of the risk from contracting parties, and therefore, in the implementation process of the equipment manufacturing industry, logistics outsourcing contractor evaluation and selection an important part. Comprehensive evaluation method, the use of the Analytic Hierarchy Process (AHP) and group decision making clustering analysis equipment manufacturing logistics outsourcing contractor capacity evaluation index system, to solve the various experts from different areas with different knowledge background, or an indicator with a different point of view of understanding, or by the expert’s own preferences and other factors affect the judge for a decision problem is likely to have a larger problem of inconsistency, so as to select a qualified contractor to provide a scientific evaluation mechanisms and models.In short, absorb and learn from the theory of logistics outsourcing risk management methods based on the equipment manufacturing industry, logistics outsourcing risk management into risk assessment, risk control, risk monitoring and contractor selection to explore and structural model (ISM), quantitative analysis of the Analytic Hierarchy Process (AHP) and group decision making clustering results, try to establish a logistics outsourcing risk control system of China’s equipment manufacturing industry, which will bring China’s equipment manufacturing industry, logistics outsourcing risk avoidance and prevention to provide some of the theoretical and methodological reference.