Changjian Cheng

Social manufacturing cloud service platform for the mass customization in apparel industry

Social Manufacturing is a novel manufacturing mode, which can introduced in the apparel industrial and other fashion industries for the mass customization, based on network, 3D fitting mirror and other technologies. In social manufacturing, the consumers are involved fully into the production process by the internet; the manufacturing equipments and the intelligent interactive service terminals (3D fitting mirrors) are online, forming the manufacture and service equipment network; to realize the social manufacturing, a powerful modern logistics system are needed to support the production and E-business. Therefore, the manufacture and service equipment network, mass-customization or mass-rent webs involving a large number of people, and modern logistics network are combined in the social manufacturing platform by using the network, cloud technology, and other technologies. in the near future everyone will need the novel manufacture mode and the traditional enterprises, such as apparel enterprises, will be transformed into the intelligent enterprises which can proactively perceive and respond the personalized demands of the large quantity of consumers, and realize the mass customization by the social manufacture cloud service platform.

ACP based 3D emergency drills system for petrochemical plants

To further enhance emergency management skills of an organisations emergency response personnel, emergency response training,especially 3D emergency drill, is currently becoming more and more important in the petrochemical sector. So, a novel 3D emergency drills system is designed and developed based on ACP approach, which can be used for mocking emergency response plan drills and evaluating the plan. A case study reveals that the performance of the system is good and the system can meet the needs of emergency response training and optimizing emergency response plan in petrochemical plants.

A HAZOP based model for safety management risk assessment in petrochemical plants

To identify specific safety management vulnerabilities that lead to deviations and failure of safeguards, a safety management risk assessment model is proposed in this paper. Firstly, accident cases happened in a petrochemical plant from 2000 to 2013 are analyzed. The indirect common causations of accidents are found and chosen as risk analysis factors. Then, the actual process of safety management is investigated, and the main framework of risk assessment is made. Finally, the model is built based on parallel management theory, accident causation theory and classic HAZOP technical. And targeted measures of such vulnerabilities is made. Compared with classic HAZOP technical, the model has advantages in searching for risks from technical and managerial two levels. The method provides a new way for the safety management objectives of changing “accident handling, postmortem prevention” to “intrinsic safety, advance prevention” in petrochemical plant.

A fuzzy model on how the management affects a worker's state

A workers energy level, mood, skill level can affect her/his working performance. These factors can be regarded as the “state” of the worker and they affect the production. Also, these factors are affected by the management. In this way, the management affects the production. One important task of managing a factory is keeping the production in a high level and in a safe condition via improving the management. However, in the literature usually this is done in an exogenous way, that is, a survey is given and based on the survey result the management is improved. This paper provides a first step for “optimizing” the management in an endogenous and analytical way. We propose a framework based on which we can analyze how the management affects the state of the worker and then affects the production. The basic idea is that we regard the management as a control policy to control the state of a worker to make the worker-position fitness as good as possible. We admit that it is difficult to evaluate how the management affects the workers state as this problem is closely related to the uncertainty rooted in the human-being. To attack this difficulty, we introduce the fuzzy method to model how the management affects a workers state. By the method in this paper, reasonable results can be obtained, based on which the management can be improved. In the future, it may be possible to collect real data to improve the method in this paper.

Application of Petri nets in dynamic process modeling of chemical emergency management

Chemical emergency response process is a dynamic complex process. To improve the effectiveness of emergency management, Petri nets are applied to model dynamic process of chemical emergency response process in this paper. A dynamic process model of emergency management is built based on hybrid Petri nets and hierarchical object-oriented Petri nets. The result reveals that the model can indicated the properties of Continuity, timeliness, interactive and multiple possibilities of emergency response process.

Accelerated GPU computing technology for parallel management systems

GPU (Graphic Processing Unit) has the feature of a strong floating-point computing capability, suitable for large-scale intensive computing. This paper applies GPU acceleration technology for the parallel management of complex production system, focusing on the computing of human behavior based on fuzzy logic and equipment safety assessment of Monte Carlo algorithm. The implementation process of the GPU parallel computing on two kinds of algorithms are discussed in detail and the optimization method is proposed. With the experimental comparison, the accelerated calculation of GPU relative to CPU achieves a 47-fold.

Study on a process safety management system: Design of a chemical accident database

To fulfil the objective of changing “accident handling, postmortem prevention” to “intrinsic safety, advance prevention” in chemical industry, this paper covers research to develop a process safety management system (PSMS). First of all, the method is proposed based on the survey, which pointed that it is an essential way to take full advantages of accidents information to enhance process safety management. Secondly, the key functions of PSMS are detailed and the needs for accident database are demanded. The defects of chemical database existing were concluded through literature review. Thirdly, the outline design of PSMS chemical accident database is presented. The work can provide some theoretical and practical reference for the study and development of the process safety management system.

An Investigation of Parallel Management Information System technology based on Service-Oriented Architecture

Considering both the engineering complexity and social complexity in the complex production system Parallel Management System (PMS) provides us a promising approach for comprehensive and predictive management for it, however, the system architecture of the PMS need to be further established. In this paper, the concept of Parallel Management Information System (PMIS) based on the PMS methodology, its system architecture as well as its execution modes are investigated in detail with the Service-Oriented Architecture (SOA). Taking the complex ethylene production as an example, the system architecture of PMIS is divided into the collaborative layer, application layer, service layer, component layer and resource layer. The artificial ethylene systems in the PMS are designed in the service layer and component layer, and the computational experiments and parallel execution are arranged in the collaborative layer and application layer. With such architecture, the PMIS can provide the training, assessment and optimization service based such an open and flexible system.

A process simulation-based quantitative HAZOP analysis method

Hazard and operability (HAZOP) methodology is an important Process Hazard Analysis (PHA) technique for ensuring safety production in chemical industry. Due to the lacks of accuracy and reliability in manual HAZOP analysis, the quantitative HAZOP analysis has gained more and more attention. In this work, a process simulation-based HAZOP analysis method and its flow chart are proposed. And the proposed method is applied to a steam generation subsystem in an ethylene pyrolysis unit on a dynamic process simulation platform. All deviation parameters of system can be calculated and described quantitatively. The case study shows the proposed method is useful for the effective risk prevention and control measures in a chemical process.

ACP approach based intelligent quality management system for manufacturing processes

With the rapid progress of information and electronic technology, traditional industrial processes are becoming more and more complex. It is very important for manufacturing enterprises to manage and control the product quality under the circumstance of big data. Based on artificial systems, computational experiments, and parallel execution approach, modeling methods by mechanism, data, heuristic rules, etc. are proposed to construct intelligent management and control system for complex manufacturing processes. The presented system is helpful to visualize production processes, to earlier detect potential problems, to quantitatively analyze various risks, to verify management strategies by computational experiments, to optimize decisions by parallel execution.