Modeling of Production of Injected Plastic Product Using Forecasting, Aggregate Planning and Linear Programming Approach

The project is on production planning of modeling of automotive plastic parts. The focus is on forecasting, aggregate planning and linear programming. The sales data for year 2003 was used as the basis of the planning. Causal forecasting using regression, 3-period moving average, 5-period moving...

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Bibliographic Details
Main Author: Dawam, Mohamad Di-Fazley
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2004
Subjects:
Online Access:http://utpedia.utp.edu.my/7939/1/2004%20Bachelor%20-%20Modeling%20Of%20Production%20Of%20Injected%20Plastic%20Product%20Using%20Forecsting%20Aggregate%20Pla.pdf
http://utpedia.utp.edu.my/7939/
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Summary:The project is on production planning of modeling of automotive plastic parts. The focus is on forecasting, aggregate planning and linear programming. The sales data for year 2003 was used as the basis of the planning. Causal forecasting using regression, 3-period moving average, 5-period moving average and also exponential smoothing with a = 0.2 and a = 0.5 were used for forecasting models. Results from the forecasting were used to develop for aggregate planning for year 2004. Excel software were used extensively for forecasting, aggregate planning and linear programming. Results from analysis indicate that 3-period moving average provide the best mean absolute deviation (MAD) for the forecasting. While for the case of aggregate planning, constant workforce planning with backorder provides the rrunimum cost.