Applied Mechanics and Materials Vol. 525

Abstract: Employee satisfaction is the key factor that affects oil industry employee performance and compensation management. Oil industry has high employee flowing problem, low manufacture efficiency problem, small employee loyal problem, etc. To solve the problems that exist in the oil industry employee satisfaction plays an important role, and the research staff satisfaction evaluation has a certain practical significance. This paper cites a new method -- fuzzy TOPSIS method to evaluate the employee satisfaction, can overcome the problem of evaluating indexes that are difficult to quantify, it has easy operation, high efficiency, less the required data, clear reveals problems, feasibility and applicability, etc. The evaluation results provide the basis for the human resource management department to develop staff satisfaction promotion strategy.

Abstract: Supplier selection is a wide research area which has been explored conceptually and empirically. The criteria and decision-making methods of supplier selection have been investigated by a series of surveys dating back to the 1960s, and both of these issues are the focus of this study. Sustainable supply chain management is a forward-thinking idea which considers the environmental effects and the efficiency of resource utilization in the whole supply chain. Thus, this part will review the supplier selection literature with special focus on the background of sustainable supply chain. And then based on the literature review, the research gaps will be conducted for more in depth research in this study.

Abstract: Customer demand is the driving force behind the development of enterprises. It is the core of mass customization production mode that access to customer demand information, analysis and management. Questionnaire is an important way to get customer demand. This paper presents a design of closed-end questionnaire about electric bicycle which has two characteristics: (1) highlighted the access to subject features of customer. (2) the numerical answers will be processed using fuzzy logic.