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Research Center for Lean Management Engineering

     Professor Shi Leyuan is Director of Research Center for Lean Management Engineering. She is “thousand talent plan” winner, incumbent director of Department of Industrial Engineering and Management, lifetime professor of Department of Industrial & Systems Engineering in University of Wisconsin-Madison, and world renowned scholar. Her main research interests lie in the areas of large scale system scheduling and optimization, such as supply chain management and optimization, scheduling and plan optimization, logistics system optimization, etc. She has published more than 100 academic papers and two books in this field and gained up to 20 million dollars research funding paid by American government and enterprises.

     At present, Research Center for Lean Management Engineering has 2 Professors, 4 Distinguished Research Fellows, 2 Post-doctoral Researchers and 10 Masters. There are three LABS direct under our center: logistics and transportation laboratory, lean manufacturing and simulation optimization laboratory and quality and reliability analysis laboratory.

1. Logistics and Transportation Laboratory

     In recent years, the fields of study in this lab lie in airline management and reliability network.

     In airline management, our research aims at reducing the congestion problem existing in aviation industry, improving operation efficiency and reducing costs. We have two main aspects as follows: One is flight scheduling and optimization based on airspace management, with the intend of optimizing flight scheduling and meeting needs of airline companies as many as possible with the given airspace. The current study is using combinatorial optimization method to solve the economy (minimum flight changes, lower fuel consumption), robustness (flight delay will not bring system with great disturbance), and equity (changes of each airline is relatively fair) of flight scheduling, so that to make up for the disadvantages of artificial scheduling. The other is starting from airline companies, to schedule flights reasonably in order to meet the national and international airliner safety standards.

     Another area of specialty of Dr. Liang Zhe is reliability network. Research results are applied to IPTV. That is, to build the multi-point transmission network for current IPTV and determine its topology structure. He worked with AT&T laboratory researchers and developed a new combinatorial optimization technology supporting future IPTV, and also put forward a multi-point transmission network for native American IPTV.

     Dr. Liang Zhe is responsible for this lab. He is the Distinguished Research Fellow of in Peking University College of Engineering. He was once the top student in the industrial engineering department of Rutgers University, and has won the first place in the students competition held by Operational Research and Management Association New Jersey Chapter. He has published many papers in the international famous academic journals.   

2. Lean Manufacturing and Simulation Optimization Laboratory

     Lean Manufacturing and Simulation Optimization Laboratory is led by Dr. Xu Xiaoyun, his areas of specialty include scheduling and simulation optimization.

     When we deal with complex large scale system, especially manufacturing system, traditional mathematic tools(such as Operational Research, combinatorial mathematics, etc.)  seem not enough and cannot describe the whole system accurately. Thus, computer simulation technique should be used to model the complex real system. After bring in some assumptions, the computer simulation model can describe the real system perfectly, thus we can optimize the real system by optimize the simulated one. Since we should almost deal with some random factors when building simulation model, we must bring in stochastic functions to describe the objective function and even constraint conditions. However, traditional mathematic tools such as Operational Research cannot deal with these problems, so simulation bring new challenges to optimization field. With the increasingly enlargement and complication of industrial systems, simulation plays an important role in research of behaviors, changes, scheduling and control of complex systems.      

    

3. Quality and Reliability Analysis Laboratory

      Quality and Reliability Analysis team focuses on researches of production process monitoring, product quality control and product reliability analysis and technique promotion. Based on the continuity, complexity, polymorphism and other characteristics of production process, our projects emphasize  the real word application and aim at optimizing the production process, improving product quality and reducing production costs.

     With the rapid automation of production systems, the complexity of production process increases and demands of customers tend to be diversity. How to meet customers’ needs and achieve the quality requirements, and at the same time control the costs as a reasonable level seems important and challengeable for enterprises.

     We make use of the quality management system with international recognition( such as the six sigma method, lean production, etc.), and improve the external quality of products(such as improving the quality of employees, reducing complaints, etc). In addition, we analyze the production process and field and put forward optimization proposal, combining the products characteristics analysis, internal quality of products can be improved significantly.

     According to features of modern production enterprises, there are all kinds of data which contain lots of information existing in production process. We can analyze these data quantitatively by the means of data mining, mathematical modeling and statistical methods. Combining with features of enterprises themselves, we provide them with optimization proposals which can reduce costs and improve quality, so as to finally realize the purpose of the enterprise's core competitiveness.

     Meanwhile, we concentrate on system reliability and maintainability. We focus on both of the global reliability and local reliability of the complex system and analysis the whole workflow and reliability route. In this way, practical schemes can be obtained for complex systems and products’ design and maintainability.

     At present, our team involve in many fields such as  advanced manufacturing, logistics, intelligent building, transportation, public health, pharmacy, agricultural products, etc. The team leader is Dr. Zhang who is the Distinguished Research Fellow in Peking University College of Engineering. His main research interests lie in the areas of process modeling and quality control for complex system, data mining, diagnosis and reliability analysis in production system. His research results have been used in fields such as advanced manufacturing and public health care system and yielded impressive results. He also has published many papers in the international famous academic journals such as IEEE Transaction.

Research Projects

1. Energy Structure Optimization and Managerial Decision Support(project combining production, study and research, 2010)

    In this project, we cooperated with Schneider Electric Company, based on global optimization and lean management theory, we realized the global optimization management of energy structure by means of simulation and building the MIS platform.

Implementation: we considered one of the buildings in Peking University as the research object and  analyzed the energy consumption of modern building. So far, we have finished the data collection part and formulated the model, and start to simulate the energy flow.


Figure 1 The 3D map of energy flow dynamic simulation and the distribution of power in the building


2. R&D and application of grain circulation security test and risk evaluation technology with the internet of things(in review)

    This project concerns with food safety and aims at putting forward more accurate solutions for food safety monitoring, warning, production  process safety control, based on the modern internet of things technology.

Implementation: Preliminary investigation has been finished and we collect data of grain circulation process regularly.

3. Real-time process monitoring and diagnosis in semiconductor manufacturing(985II project, Ministry of Education, 2010)

    This project focuses on the very important link of semiconductor manufacturing named crystal plate polishing(CMP) and intends to deal with the surface defect problem. Based on dynamics space-time model, we use engineering background knowledge and advanced statistical tools to provide a scheme of real-time process monitoring and diagnosis for mu and nm level dynamic processing.

Implementation: Preliminary investigation has been finished and we have provided solution of real-time process monitoring and diagnosis for small size CMP. We are trying to deal with full size(300 mm) CMP. 



Figure 2 CMP and the data collecting of infrared temperature distribution


4. Green campus and community project(Challenge Cup project of PKU,2010)

    This project considers buildings and communities in Peking University as research object, based on LEED of American, concentrates on building information platform for building energy and  offering solutions which can not only meet individual requirements but be energy conservation and emission reduction. Finally, we will propose campus and community lower power design standard for China.

Implementation: Preliminary investigation has been finished. We are trying to evaluate the energy consumption of teaching building by means of carbon emission absorption model and environment psychology.