A Sustainable Reconfigurable Manufacturing System Designing With Focus On Environmental Hazardous Wastes

Abstract

Due to awakening environmental awareness and corresponding tightening of environmental protocols in the industrialized world, new production challenges arise. These challenges are to meet the continuously growing worldwide demand for capital and consumer goods while considering the associated economic, environmental, and social aspects. The next generation manufacturing systems must adjust themselves rapidly and cost-effectively. The goal is to respond to changing market needs while minimizing adverse effects on the environment. Reconfigurable Manufacturing Systems (RMSs)-due to its flexibility and characteristics-can increase the system sustainability and responsiveness to satisfy the market needs. In this paper, we propose an environmental oriented multi-objective problem for a sustainable reconfigurable manufacturing system. As design objectives, we consider the total production time, the total production cost and the amount of environmental hazardous wastes. The environmental hazardous wastes considers both liquid hazardous waste and greenhouse gas emissions (GHG). Weighted goal programming is used to tackle this multiobjective problem. The applicability of our approach is illustrated through a numerical example.

A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems

“…An iterative multi-objective integer linear programming approach, an archived multi-objective simulated annealing, and the non-dominated sorting genetic algorithm were used and investigated. Regarding a sustainable process plan, three objectives, i.e., the minimizations of the total production cost, of the total production time and of an environmental criterion, were identified and considered in [141][142][143]. Energy consumption is defined as the environmental objective in [141], whereas Khezri et al [142,143] considered energy consumption to have impacts on the amount of the greenhouse gas emissions included in the environmental criterion, which is, respectively in the two papers, the sustainability metric value and environmental hazardous wastes.…”

“…Regarding a sustainable process plan, three objectives, i.e., the minimizations of the total production cost, of the total production time and of an environmental criterion, were identified and considered in [141][142][143]. Energy consumption is defined as the environmental objective in [141], whereas Khezri et al [142,143] considered energy consumption to have impacts on the amount of the greenhouse gas emissions included in the environmental criterion, which is, respectively in the two papers, the sustainability metric value and environmental hazardous wastes. In [142], a posteriori approach, a non-dominated sorting genetic algorithm II, and a strength Pareto evolutionary algorithm II were used to solve the mathematical model, whereas in [143] an adapted version of weighted goal programming was implemented.…”

“…Energy consumption is defined as the environmental objective in [141], whereas Khezri et al [142,143] considered energy consumption to have impacts on the amount of the greenhouse gas emissions included in the environmental criterion, which is, respectively in the two papers, the sustainability metric value and environmental hazardous wastes. In [142], a posteriori approach, a non-dominated sorting genetic algorithm II, and a strength Pareto evolutionary algorithm II were used to solve the mathematical model, whereas in [143] an adapted version of weighted goal programming was implemented. Khezri et al [141] addressed the problem using an augmented ε-constraint based approach.…”

Layout and scheduling optimization problem for a reconfigurable manufacturing system

“…Dou et al [18] integrated optimization problem of configuration design and scheduling for RMS by presenting a multi-objective particle swarm optimization (MoPSO) based on crowding distance and external Pareto solution archive. Khezri et al [19] proposed a multi-objective scheduling model to optimize the processing time and cost in RMS as well as the emission of liquid hazardous waste and greenhouse gas emissions (GHG).…”

Diagnosis on Energy and Sustainability of Reconfigurable Manufacturing System (RMS) Design: A Bi-level Decomposition Approach

“…Authors integrated greenhouse emissions as guiding metric. [13] proposed an environmental oriented multiobjective problem for an RMS. They proposed a weighted goal programming approach based on three objectives namely the minimization of total production time, the total production cost and the amount of environmental hazardous wastes.…”