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SPEAKER: Professor Jacek ZakProfessor Jacek Zak is Associate Professor and Head of the Department of Logistics at Poznan University of Technology in Poland. He is a highly recognised international expert in transportation, logistics and operations management. Professor Zak is also a consultant and Board member in several national and international companies. He graduated from Poznan University of Technology (1987) and Adam Mickiewicz University (1991) in Poznan, Poland. In 1992-93 he completed postgraduate managerial studies at Harvard University and the Massachusetts Institute of Technology in general management and operations management. In 1995 he received his PhD from Poznan University of Technology (program sponsored by Harvard Business School) and in 2005 his post doctoral degree from Warsaw University of Technology, Poland. Contact UsPO Box 1265Parramatta NSW 2124 Tel: 1300 651 911 Fax: 02 9635 3466 E: admin@laa.asn.au W: www.laa.asn.au This LAA event attracts 2 CPD points. |
Tuesday, August 9 The presentation focuses on methodological principles of Multiple Criteria Decision Making / Aiding (MCDM/A) and their application in the fields of transportatin and logistics. It explains how to solve complex, often unstructured, multiple criteria decision problems that arise in transportation / logistics. The presentation is divided into two sections, including: 1. Theoretical background of MCDM/A; 2. Practical application of MCDM/A methodology in Transportation / Logistics. The first part comprises historical overview, basic definitions and methodological rules of MCDM/A. The multiple criteria decision making / aiding process – its major phases and players – is described in this section. The first part provides also classification and major features of multiple criteria decision problems as well as the description of corresponding MCDM/A methods that allow for solving these problems. The rules of solving different categories of multiple criteria decision problems are demonstrated. In the second part extended analysis of 2-3 real life case studies is carried. The analysis includes: verbal description and mathematical formulation of the decision problem, modeling of DM's preferences, selection of MCDM/A method, solution procedure – computational experiments and presentation of their results. The case studies present the solution procedure of at least one multiple criteria ranking problem and one multiple criteria choice (optimization) problem. The following case studies can be demonstrated: BOOK NOWRegister by Thursday August 4. Registrations: info@itls.usyd.edu.au
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