scholarly journals Towards a sustainable manufacturing system design: A multi-objective optimization model

2017 ◽  
Author(s):  
Reda Nujoom ◽  
Qian Wang ◽  
Ahmed Mohammed
Keyword(s):  
System Design ◽  
Optimization Model ◽  
Manufacturing System ◽  
Sustainable Manufacturing ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Manufacturing System Design

scholarly journals Multi-Objective Optimization Model of Multi-Pass Turning Operations to Minimize Energy, Carbon Emissions, and Production Costs

2020 ◽  
Vol 21 (2) ◽  
pp. 213-224
Author(s):  
Aprilia Dityarini ◽  
Eko Pujiyanto ◽  
I Wayan Suletra
Keyword(s):  
Carbon Emissions ◽  
Optimization Model ◽  
Sustainable Manufacturing ◽  
Cutting Parameters ◽  
Production Costs ◽  
Machining Process ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Decision Variables ◽  
Optimal Values

Sustainable manufacturing aspects are environmental, economic, and social. These aspects can be applied to an optimization model in the machining process. An optimization model is needed to determine the optimum cutting parameters. This research develops a multi-objective optimization model that can optimize cutting parameters on a multi-pass turning. Decision variables are cutting parameters multi-pass turning. This research has three objective functions for minimizing energy, carbon emissions, and costs. Three functions are searched for optimal values using the GEKKO.  A numerical example is given to show the implementation of the model and solved using GEKKO and Interior Point Optimizer (IPOPT). The results of optimization indicate that the model can be used to optimize the cutting parameters.

scholarly journals Sustainable Reconfigurable Manufacturing System Design Using Adapted Multi-Objective Evolutionary Based Approaches

2021 ◽  
Author(s):  
Imen Khettabi ◽  
Lyes Benyoucef ◽  
Mohamed Amine Boutiche
Keyword(s):  
Genetic Algorithms ◽  
System Design ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Total Production ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Nsga Ii ◽  
Multi Objective ◽  
Manufacturing System Design

Abstract Nowadays, manufacturing systems should be cost-effective and environmentally harmless to cope with various challenges in today's competitive markets. In this paper, we aim to solve an environmental oriented multi-objective reconfigurable manufacturing system design (ie., sustainable reconfigurable machines and tools selection) in the case of a single unit process plan generation. A non-linear multi-objective integer program (NL-MOIP) is presented first, where four objectives are minimised respectively, the total production cost, the total production time, the amount of the greenhouse gases emitted by machines and the hazardous liquid wastes. Second, to solve the problem, we propose four adapted versions of evolutionary approaches, namely two versions of the well known non-dominated sorting genetic algorithm (NSGA-II and NSGA-III), weighted genetic algorithms (WGA) and random weighted genetic algorithms (RWGA). To illustrate the efficiency of the four approaches, several instances of the problem are experimented and the obtained results are analysed using three metrics respectively hypervolume, spacing metric and cardinality of the mixed Pareto fronts. Moreover, the influences of the probabilities of genetic operators on the convergence of the adapted NSGA-III are analysed and TOPSIS method is used to help the decision maker ranking and selecting the best process plans.

scholarly journals Simulation-based sustainable manufacturing system design

2008 ◽  
Author(s):  
Juhani Heilala ◽  
Saija Vatanen ◽  
Hannele Tonteri ◽  
Jari Montonen ◽  
Salla Lind ◽  
...  
Keyword(s):  
System Design ◽  
Manufacturing System ◽  
Sustainable Manufacturing ◽  
Simulation Based ◽  
Manufacturing System Design
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