Abstract
One of the most essential topics for the present and future generations is sustainability. Today, because of threats made by traditional and old manufacturing practices, sustainability has become an essential topic in manufacturing companies. Attaining a sustainable manufacturing process requires making decisions about the strategies of manufacturing. In this paper, a novel integrated model is developed to evaluate sustainable manufacturing strategies. The proposed model is based upon two multi-criteria decision-making (MCDM) methods: WASPAS (Weighted Aggregated Sum Product ASsessment) and SECA (Simultaneous Evaluation of Criteria and Alternatives). Due to the uncertainty of evaluation process, we use interval type-2 fuzzy sets (IT2FSs). An example of evaluating sustainable manufacturing strategies is presented, and a sensitivity analysis is carried out for illustration of the developed approach and validation of it. The findings show the efficiency of the developed model, and based on the considered example, “Eco-efficiency” can be regarded as an effective strategy.
Highlights
Concerns about issues like resource consumption, environmental changes, and social problems have been increased in the past years
If we consider manufacturing as one of the main pillars of civilized lifestyle, it can play an essential role in moving toward sustainability
The uncertainty of information has been modeled by means of interval type-2 fuzzy sets in order to have a flexible evaluation process
Summary
Concerns about issues like resource consumption, environmental changes, and social problems have been increased in the past years. These concerns lead to emergence of new concepts called “Sustainable development” and “Sustainability”. Manufacturing sector is one of the most important sectors within the context of sustainability (Joung, Carrell, Sarkar, & Feng, 2013). This is because of the volume of resources, materials and energy consumption, introducing new products that lead to generation of wastes and emissions during product life cycles, etc.
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