Abstract
Environmental ergonomics in bioproduction of food Small Medium-sized Enterprises (SMEs) become a concern and need to be optimized. An optimization model was developed using a Genetic Algorithm (GA). The weight of an Artificial Neural Network Model was used as a fitness function for GA. The research objectives were: 1) To design an environmental ergonomic assessment system for bioproduction of Food SMEs, 2) To develop an optimization model for environmental ergonomic assessment using a Genetic Algorithm. GA is utilized to search optimal set points of environmental ergonomics based on the predicted fitness values. Each chromosome of GA represents the environmental ergonomics value. The parameters were heart rate, bioproduction temperature, distribution of bioproduction relative humidity and light intensity. The target of the optimization model was the bioproduction temperature set points. The research result indicated the model generated optimum values of environmental ergonomics parameter in bioproduction of food SMEs. The parameters could be used to provide standard workplace environment for the sustainability of food SMEs.
Highlights
SMEs is the labor-intensive industry in Indonesia
GA is utilized to search optimal set points of environmental ergonomics based on the predicted fitness values
Environmental ergonomics were initially introduced to Indonesian Food SMEs as one of the scopes of digital ergonomics (Ushada 2019)
Summary
SMEs organization consists of several household workstation which integrate worker, material, and machinery. Workstation of food SMEs have several specific characteristics as 1) narrow layout of space, 2) high density of worker in workstation, 3) old-type machinery/equipment, 4) various type of bioproduction process, and 5) dynamic environmental ergonomics. Parsons has suggested the significance of environmental ergonomics to optimize the environment based on workstation responsiveness (Parsons 2000). Environmental ergonomics were initially introduced to Indonesian Food SMEs as one of the scopes of digital ergonomics (Ushada 2019). Digital ergonomics is an application of information technology for affective ergonomics assessment and based on sensor utilization, database, and/or internet (Ushada 2019).
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