Mao Zhu Jin’s research while affiliated with Sichuan University and other places

A growing number of organizations around the world are considering the implementation of radio frequency identification (RFID) systems to improve their business and operations processes in project management of the environment friendly industry. Environment friendly industry attempts to effectively obtain real-time information and enhance dynamic control and management via information sharing and analysis from involved participants to effective production and reduce conflicts. RFID technology is used in a great number of possible applications, like product tracking, animal identification, inventory systems and others. The paper (born from the authors’ experience on the field) introduces a new methodological framework in order to face the feasibility study for the application of the RFID technology, illustrating two cases in the environment friendly industry that today have exceeded the experimentation phase.

A major activity in the journey towards lean is the effective management of the flow of products and services through the series of the activities involved in providing value to the customer, known as the value stream. Value Stream Mapping is one of the best tools to map complex production processes to identify activities and eliminated the waste. Researches show however non-linear complex systems cannot be dealt with effectively by simply using VSM. As a decision analysis technique, Bayesian Casual networkping solving cases under uncertainty. This paper aims to combine two methods in order to improve efficiency of non-linear production and service systems. Hence, the process complexity will be handled by the casual networks and the results are fed into the VSM, in order to identify the critical paths. By simplifying the complex processes will this study contribute to analysis of the lean Production and service systems.