Application of multi-attribute decision-making methods in SWOT analysis of mine waste management (case study: Sirjan's Golgohar iron mine, Iran)

2017 ◽  
Vol 51 ◽  
pp. 67-76 ◽  
Author(s):  
Sudabe Shahba ◽  
Reza Arjmandi ◽  
Masoud Monavari ◽  
Jamal Ghodusi

Healthcare waste management is the major task for the industry especially in rising nations like India. It is problematic to identify and control the wastes has turn out to be one of the serious concerns. For the assessment of waste management, case study is conducted in one of the top healthcare industry in India. The objective of the paper is to identify and assess the most influential wastes in the healthcare industry. In this paper, ten wastes are recognized from relevant literature and used to recognize the most influential wastes in the healthcare industry by using Decision Making Trail and Evaluation Laboratory (DEMATEL) technique. This technique evaluates the importance of wastes and also displays its causal relations. The finding of the paper reveals that wastes from genotoxic chemical (W8) is the most influential waste in the healthcare industry and needs to be control it.


Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.


Author(s):  
Laura Ziegler ◽  
Kemper Lewis

A unique set of cognitive and computational challenges arise in large-scale decision making, in relation to trade-off processing and design space exploration. While several multi-attribute decision making methods exist in the current design literature, many are insufficient or not fully explored for many-attribute decision problems of six or more attributes. To address this scaling in complexity, the methodology presented in this paper strategically elicits preferences over iterative attribute subsets while leveraging principles of the Hypothetical Equivalents and Inequivalents Method (HEIM). A case study demonstrates the effectiveness of the approach in the construction of a systematic representation of preferences and the convergence to a single ‘best’ alternative.


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