Abstract
Combined with the research of mass customization and cloud manufacturing mode, this paper discussed the production planning of mass customization enterprises in the context of cloud manufacturing in detail, analyzed the attribute index of manufacturing resource combination, and given a system considering the characteristics of batch production in mass customization and the decentralization of manufacturing resources in cloud manufacturing environment. Then, a multiobjective optimization model has been constructed according to the product delivery date, product cost, and product quality that customers care most about. The Pareto solution set of production plan has been obtained by using NSGA-II algorithm. This paper established a six-tier attribute index system evaluation model for the optimization of production planning scheme set of mass customization enterprises in cloud manufacturing environment. The weight coefficients of attribute indexes were calculated by combining subjective and objective weights with analytic hierarchy process (AHP) and entropy weight method. Finally, the combined weights calculated were applied to the improved TOPSIS method, and the optimal production planning scheme has been obtained by ranking. This paper validated the effectiveness and feasibility of the multiobjective model and NSGA-II algorithm by the example of company A. The Pareto effective solution has been obtained by solving the model. Then the production plan set has been sorted synthetically according to the comprehensive evaluation model, and the optimal production plan has been obtained.
Highlights
With the advent of the big data era and the introduction of the concept of cloud manufacturing, great changes have taken place in the production mode of the manufacturing industry
In view of the cloud manufacturing architecture proposed by Lee, many scholars have carried out relevant theoretical research and proposed di erent cloud manufacturing architecture models applied in di erent elds
Du et al [2] proposed a system architecture of the cloud manufacturing platform based on double-chain architecture to solve the problem of transaction security of the cloud manufacturing platform, aiming at the common problems of information islands and low trust in the cloud
Summary
With the advent of the big data era and the introduction of the concept of cloud manufacturing, great changes have taken place in the production mode of the manufacturing industry. In the key technologies of cloud manufacturing, in cloud manufacturing system, it is necessary to virtualize and encapsulate manufacturing resources scattered in different places and connect them into the cloud manufacturing service platform [3] In this process, the capability and function of manufacturing resources should be considered, so as to establish different granularity description models of manufacturing resources and capabilities. Wu et al [10] analyzed and demonstrated the mechanism of mass intelligent customization in view of the structure of the black box of personalized demand and the linking of supply and demand paths It showed that with, the help of virtual market and data technology effect, enterprises can meet the personalized demand in the sense of scale. The production planning and optimization of mass customization manufacturing enterprises in the cloud environment are studied, in order to make mass manufacturing enterprises fully and reasonably meet customer requirements and obtain maximum benefits in the cloud manufacturing environment
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