Cheong Lee Fong, Michelle


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MITB
Master of IT in Business




  research
RESEARCH INTERESTS
1. Supply Chain Coordination
  Supply chain coordination encompasses research areas involving decision making at different levels of the supply chain. At the strategic level, the design of logistics network involves deciding where to locate hubs to consolidate supplies from multiple suppliers to be transported to multiple manufacturers, so as to minimize the total supply chain costs including fixed hub costs, transportation costs and inventory costs. At the tactical level, a centralized decision could involve coordinating the amount of supplies from different suppliers to different manufacturers, so as to minimize the overall supply chain costs. At the operational level, transportation decisions on different available routes across multiple time periods are made to coordinate shipping quantities from multiple suppliers to multiple manufacturers.
   
2. Spreadsheet Modeling
  The ability to model open, unstructured business problems into spreadsheet models for detail analysis has become increasingly important in the fast-changing business environment. Spreadsheet modeling has shown to support quick decision making and its use is rampant in the business world. Effective modeling comes from years of experience and exposure to myriad of business problems, plus using effective modeling and analysis techniques and tools.
   
CURRENT RESEARCH TOPICS
1. Supply Chain Coordination
 

My current research involves centralized decision making for supply chain coordination, using combinatorial auctions as a coordination mechanism. Leveraging on the tight links between combinatorial auction and Lagrangean Relaxation model, the Lagrangean multipliers are used as the dynamically adjusted parameter to balance supply and demand of supplied parts or shipping capacity, subjected to constraints. The proposed solution methodology is applied in freight consolidation & distribution (operational level), and supplies coordination (tactical level) problems. By harnessing the special characteristics of each problem, we aim to attain fast convergence for large problems. This methodology can be applied in many domain areas involving coordination of multiple decisions.

   
2. Spreadsheet Modeling
 

Effective modeling and analysis skills can be imparted to students and instructors alike. Good teaching notes on business problems that involves analysis of demand and sales data and distribution, and forecasting of growth trends. A paper on emphasizing the importance of teaching spreadsheet modeling skills to students was prepared to create awareness and highlight the critical pedagogical insights. A textbook which covers a myriad of business problems was published and used as the textbook for the IS102 “CAT” for undergrad prorgamme, IS602 “Spreadsheet Modeling for Business Decisions” in the MITB programme, as well as the FNCE564 Financial Modeling course in the MAF programme, since Term 1 AY2008/09.