ABSTRACT:In the past, decision making within the energy sector, especially in Iran, was limited to economic analysis. Lately, multiple criteria decision making has gained great popularity. However, this is not enough to make a right decision by considering sustainability. This paper deals with designing an appropriate multiple criteria decision making method to address the multifaceted nature of such problems. This task is the second precondition to make a decision which meets the sustainability criterion. This is done by revealing new facts about quantitative and qualitative data and the degree of compensation between the criteria. Moreover, this paper illustrates the capability of different methods with regard to sustainable energy planning and management in two steps: 1) comparison of two main approaches in the strategic energy planning context; 2) evaluation of multi attribute decision making methods and combining them. Combining four methods including Analytical hierarchy process, Preference ranking organization method for enrichment evaluation II, geometric mean and weighted sum seems to result in designing an appropriate method which meets the sustainability criterion. These contributions are proposed for comparing the renewable energy technologies with nonrenewable ones. Nevertheless, these seem to be applicable in any comparison between discrete alternatives in the energy sector.
Decision making is an important task for entrepreneurs, and proper performance of purchasing has a direct effect on decreasing costs, increasing profitability, and survival of an entrepreneur. Also, entrepreneurs must follow formal rational decision processes as much as possible with fewer costs. To do so, they can use Design of Experiment techniques in combination with decision-aids. In this paper, the authors develop a fuzzy linear multiobjective model for supplier selection. With this model, the decision maker will be able to identify effective criteria with the Nested-Design technique and their relative importance on supplier selection with FAHP. In this regard, fuzzy linear multiobjective programming will be assigned a share of suppliers for supply and demands in the supply chain. The authors expect that using this combination of techniques will have an impressive effect on reducing supplier selection costs.
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