Improving the Food Manufacturing System by Using Simulation and DEA
This paper presents the application of simulation and Data Envelopment Analysis (DEA) in improving the food manufacturing system. Simulation and DEA are used to improve the system by identifying improvement models and determine the best improvement model. The simulation model is used to generate inputs and outputs of improvement models. DEA-BCC model with output orientation is used to determine the efficient improvement model which can maximize output with the given input. Then, cross efficiency is used to rank the efficient improvement models and select the best improvement model. The IP 4 is the best improvement model where the model suggested to relocate the workers. The application methods and the results given can assist the management of the company to make better decisions and can provide ideas to other SME companies for improving the performance of the food manufacturing system.
KeywordsSimulation DEA Cross efficiency Improvement model
This study was made possible by the continuous support from Universiti Teknologi MARA Grant No. 600-IRMI/DANA 5/3/LESTARI (0130/2016).
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