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.

No abstract

This paper extracts six factors which affect the equipment manufacturing in Shenyang according to the data of local 54 equipment manufacturers with the grounded theory coding method, then measures out the importance of various factors through the multiple linear regression analysis, and analyses the reasons by using statistical analysis software (SPSS). The results reveal the moderate growth in the output from Shenyang equipment manufacturing industry, whose core competitiveness is boosted by the market demand, innovation capability, foreign investment and international markets and inhibited by the company size and personnel management. Based on the conclusions, many methods are proposed to enhance the core competitiveness of the equipment manufacturing industry in Shenyang.

This paper extracts six factors which affect the equipment manufacturing in Shenyang according to the data of local 54 equipment manufacturers with the grounded theory coding method, then measures out the importance of various factors through the multiple linear regression analysis, and analyses the reasons by using statistical analysis software (SPSS). The results reveal the moderate growth in the output from Shenyang equipment manufacturing industry, whose core competitiveness is boosted by the market demand, innovation capability, foreign investment and international markets and inhibited by the company size and personnel management. Based on the conclusions, many methods are proposed to enhance the core competitiveness of the equipment manufacturing industry in Shenyang.