Mathematical and statistical modelling in solving industrial problems - a university industrial collaborative research
Successful business requires good management, decision making and planning process. Strong bridges are required to connect theory (the university) and practice (industry), and many problems must be solved before mathematical models or methods can be used efficiently and effectively in management sit...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2006
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| Online Access: | http://eprints.utm.my/10871/ http://eprints.utm.my/10871/1/ZuhaimyIsmail2006_MathematicaSolvingIndustrialProblems.pdf |
| Summary: | Successful business requires good management, decision making and planning process. Strong bridges are required to connect theory (the university) and practice (industry), and many problems must be solved before mathematical models or methods can be used efficiently and effectively in management situations. Application issues are rather under explored and this has been highlighted in many papers publication and it is virtually impossible to work with real organisations without realising that the gap between the development of mathematical models and their application is huge. In this paper, we present case studies on modelling of palm oil yield and forecasting of electricity demand where collaboration between university and industry may be carried out. Here we did not explore the technical aspects of demand forecasting but rather to highlight the need for benchmarking the forecasting practices when conducting forecast of electricity demand. This applies to to the application of mathematical model for predicting palm oil yeild. |
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