Open AccessResearch on Decision-making Method for Allocation of Product Maintenance Spare Parts
Author(s) -
Qian Wu,
Chaowei Wang,
Fei Pei,
Yingcheng Xu,
Xiaowei Lu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1584/1/012013
Subject(s) - spare part , operability , computer science , product (mathematics) , generalization , operations research , table (database) , service (business) , scheme (mathematics) , reliability engineering , quality (philosophy) , activity based costing , preventive maintenance , operations management , engineering , mathematics , business , data mining , mathematical analysis , philosophy , geometry , epistemology , marketing
Under the current market situation, improving the efficiency and quality of after-sales service has become one of the effective means for improving the competitiveness of an enterprise. In this paper, the cost coefficient method is introduced into the research on decision-making method for allocation of product maintenance spare parts. By analyzing the factors influencing the transportation of maintenance spare parts, a model is established for the allocation cost coefficient of maintenance spare parts. The optimal transportation route of maintenance spare parts is calculated by using A-star algorithm. The optimal allocation scheme is obtained according to the table-manipulation method on linear programming. The feasibility of the model is verified by an example. The method is scientific, reasonable, simple and easy to learn. With strong generalization and operability, the method can effectively improve the allocation efficiency of maintenance spare parts and save the cost of after-sales service.