Optimization of Dynamic and Sustainable Cellular Layout Based on the strategy of scaling Processing Speed and Process Routing in Energy Consumption and Workplace Safety

Increasing concerns about environmental issues, resources constraint and social issues of employees have moved organizations to review production strategies and facility layout to provide an arrangement that takes into account all dimensions of sustainability (economic, social, and environmental). Therefore, in this research, a multi-objective mathematical model has been developed to achieve a balance between reducing layout costs, reducing electrical energy consumption, and improving the safety of the production environment for the operators. One prominent feature of the proposed model is the consideration of the strategy of scaling the processing speed of operations in machines alongside process routing. This is combined with concepts such as machine reliability, workload balancing, and operator allocation. In order to validate and assess the usability of the proposed model, the LP-metric method and examples derived from the relevant literature have been utilized. Considering the complexity of the model and the limitations of the GAMS software in providing timely solutions for large-scale problems, the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) has been employed. Finally, the proposed approach was used as a real case study in a gas stove and industrial oven production workshop. The results show a 62% savings in production costs from applying the proposed method.