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[Nowadays, in a hotly competitive environment, companies are facing numerous challenges. Indeed, to be relevant, the manufacturingManufacturing system of a company must be, simultaneously, cost and time-efficient and environmentally harmless. Moreover, due to the escalation in fuel prices, higher tariff for electrical use and environmentalEnvironmental legislations, the reduction in energy consumptionEnergy consumption and carbonCarbon footprint has become the need of the hour in the manufacturingManufacturing sector. Thus, reconfigurable manufacturing system (RMS)Reconfigurable Manufacturing System (RMS) is proposed to cope with these new challenges. It is considered as an enablerEnablers for IndustryIndustry 4.0 due to its core characteristics, namely scalabilityScalability, convertibilityConvertibility, diagnosabilityDiagnosability, customizationCustomization, modularityModularity and integrability. In this chapter, we consider the multi-objectiveMulti-objective single-product processProcessplanProcess plan generation problem in a reconfigurable manufacturingManufacturing environment where in addition to the total completion timeCompletion time and total production cost minimization, total energy consumptionEnergy consumption is minimized. First, a multi-objectiveMulti-objective mixed-linear integer programming model is proposed. Moreover, an augmented ε-constraint-based approach is developed to solve the model. Finally, to show the applicability of our approach, an illustrative numerical example is proposed. ]
Published: Oct 20, 2019
Keywords: Reconfigurable manufacturing system; Sustainable manufacturing; Sustainability; ε -constraint; Process planning; Multi-objective optimization
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