Research on the Relationship Between IT Employee’s Work Pressure, Control Points and Turnover Intention

The increasingly fierce competition, IT enterprise employees will feel more and more pressure of work. And in recent years, due to the rapid development of the Internet industry, the IT industry develops fast in the digital revolution, many of the factors make IT enterprise employees turnover rate increased year by year. Based on the IT enterprise employees as investigation object, this article using hierarchical regression method to verify the control points between work pressure and turnover intention has a regulatory role. IT companies in the recruitment and staff training should put employees control points included in the examination scope which can alleviate the pressure on employees to a certain extent and reduce employee turnover rate

The State and the Arts of Research on Foundation Buried Depth Effect on Building Structure

The state and the arts of research on foundation buried depth effect on building structures are reviewed and summarized in detail from such aspects as static response property and dynamic response property, and a brief discussion is carried out on the future developments and studies. Different scholars have conducted research for this aspect of the issue; the conclusions vary because of differences in the conditions of the upper structure stiffness. Superstructure should consider different stiffness conditions a lot of numerical calculations, foundation depth summary obtained reaction influence on the dynamic characteristics and dynamic soil structure interaction system of law

Modeling and Performance Evaluation of Multistage Serial Manufacturing Systems with Rework Loops and Product Polymorphism

This paper studies multistage serial manufacturing systems with the integrated consideration of machine failures, process defects, multiple rework loops, etc. In particular, multiple rework loops and product polymorphism lead to a more complex conversion of internal material flows, and therefore it's difficult to model and analyse such manufacturing systems. A modular modeling method based on Generalized Stochastic Petri Nets (GSPN) is presented to characterize the material flows, it is capable of representing the processing differences resulting from product polymorphism comparing with traditional Markov model or Queuing network model. By analysing the model, the processing ratio of each workstation is inferred. Using 2M1B (two-machine and one-buffer) Markov cell model as the building blocks, which is obtained based on the GSPN models for their isomorphism, an overlapping decomposition method is then developed for evaluating the performance of the multistage serial systems with rework loops. Numerical experiments and a case study of a powertrain assembly line illustrate the efficiency of the proposed method

A Heuristic Approach to Solve an Industrial Scalability Problem

In recent years, the rapid change of market demand is increasing the need for scalability as a key characteristic of manufacturing systems. Scalability allows production capacity to be rapidly and cost-effectively reconfigured in different situation with different requirements and constraints. Our industrial partners are facing quarterly scalability problems involving a multi-unit and multi-product manufacturing system. In this paper, an original approach is presented to solve this kind of problems. Starting from the original manufacturing system configuration and process plan, a set of practical principles are introduced to seek for the feasible configurations; a GA is designed to search in the global solution space. A balancing objective function is defined and used to rank the proposed configurations. A real case study with 4-unit / 4-product situation demonstrates both the validity and efficiency of the proposed approach