Discrete event simulation for sustainable batch production in food processing

Abstract

In a world faced with depleting resources and hazardous biodegradable food wastes, an efficient planning for the food processing operation is crucial to avoid the adverse potential impact of excess food production. This paper presents a framework for sustainable food batch production, to ensure efficient usage of raw ingredients required for producing the exact food amount required for a certain event. A discrete event simulation model is developed using STROBOSCOPE to determine the equilibrium points between the supply and demand in showcase events that involve showing food samples or products. The developed simulation model comprises two parts, namely the batch production plant and the food exhibition. To validate the model, actual case study was used to determine the amount of displayed food products in exhibitions and it was found that the MAE resulting from the model was equal to 85%. The developed simulation model and framework is expected to be a handful tool for stakeholders in small startups and young entrepreneurs in showcase events involving food sampling to minimize excess or surplus of food and raw ingredients required in food production.