Assessing supplier environmental performance: Applying Analytical Hierarchical Process in the United Arab Emirates healthcare chain

Malik, Mohsin; Abdallah, Salam; Hussain, Matloub

doi:10.1016/j.rser.2015.05.004

Cited by 83 publications

(57 citation statements)

References 45 publications

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“…According to Lee and Drake [8] and Ishizaka et al [9], AHP is a reliable tool in modern scenarios because it provides optimal solutions for many complex multi-criteria decision making problems. Originally proposed by Saaty in 1980, AHP has been applied in a variety of applications; it measures intangibles with the assistance of experts' judgments through pair-wise comparisons [10]. In AHP, complex problems are solved by inserting them into a hierarchical structure in order to measure the level of impact from one level to another.…”

Section: Solution Methodologymentioning

confidence: 99%

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Shankar

Kumar²,

Kannan

2016

Sustainability

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A number of current manufacturing sectors are striving hard to introduce innovative long-term strategies into their operations. As a result, many scholarly studies have found it fruitful to investigate advanced manufacturing strategies such as agile, computer-integrated, and cellular manufacturing. Through the example of downstream cases, manufacturing sectors have learned that financial benefits garnered through automated technologies cannot be counted on as a sole measure to ensure their success in today's competitive and fluctuating marketplaces. The objective of this study is to integrate those advanced techniques with sustainable operations, to promote advanced sustainable manufacturing so those manufacturing sectors can thrive even in uncertain markets. To establish this connection, this study analyzes the drivers of advanced sustainable manufacturing through a proposed framework validated through a case study in India. Common drivers are collected from the literature, calibrated with opinions from experts, and analyzed through an analytical hierarchy process (AHP), which is a multi-criteria decision making (MCDM) approach. This study reveals that quality is the primary driver that pressures manufacturing sectors to adopt advanced sustainable manufacturing. Manufacturers can easily note the top ranked driver and adopt it to soundly implement advanced sustainable manufacturing. In addition, some key future scopes are explored along with possible recommendations for effective implementation of advanced sustainable manufacturing systems.

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Section: Solution Methodologymentioning

confidence: 99%

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Shankar

Kumar²,

Kannan

2016

Sustainability

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“…pairwise comparison matrices in calculating the weights of criteria and sub-criteria [86,87]. In the implementation of AHP methodology, in the first phase, the main criteria weights were obtained which were followed by the determination of sub-criteria weights as follows.…”

Section: Main Criteria Weightsmentioning

confidence: 99%

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

et al. 2018

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Pakistan has sufficient wind energy potential across various locations of the country. However, so far, wind energy development has not attained sufficient momentum matching its potential. Amongst various other challenges, the site selection for wind power development has always been a primary concern of the decision-makers. Principally, wind project site selection decisions are driven by various multifaceted criteria. As such, in this study, a robust research framework comprising of factor analysis (FA) of techno-economic and socio-political factors, and a hybrid analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) have been used for the prioritization of sites in the southeastern region of Pakistan. The results of this study reveal economic and land acquisition as the most significant criteria and sub-criteria, respectively. From the eight different sites considered, Jamshoro has been prioritized as the most suitable location for wind project development followed by Hyderabad, Nooriabad, Gharo, Keti Bandar, Shahbandar, Sajawal, and Talhar. This study provides a comprehensive decision support framework comprising of FA and a hybrid AHP and Fuzzy TOPSIS for the systematic analysis to prioritize suitable sites for the wind project development in Pakistan.

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“…The details of AHP model development are well documented in [27][73] [74]. Nevertheless the process is summarized below in four steps.…”

Section: Ahp Methods Requirementsmentioning

confidence: 99%

“…Since a group decision modelling approach is adopted in this research, following Basak and Saaty [73] and Malik et al [74],a geometric mean is used for combining individual expert's pair-wise comparisons for all four hierarchy levels. In calculating the priority weights at criteria and sub-criteria level, the most widely used method of Eigenvectors is employed [81].…”

Section: Developing Ahp Modelmentioning

confidence: 99%

Multi-criteria evaluation of renewable and nuclear resources for electricity generation in Kazakhstan

Ahmad

Nadeem

Akhanova

et al. 2017

Energy

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Kazakhstan's electricity generation depends heavily on fossil fuels. Renewables and other nonfossil resources provide potential alternatives to diversify the electricity generation system. In this paper, various potential local non-fossil fuel resources, hydro, solar, wind, biomass and uranium are reviewed and an assessment framework for prioritizing these resources is established. A multi-criteria decision making approach, analytic hierarchy process (AHP) based on expert opinion, is utilized for developing the assessment model, using four main criteria of technical, economic, social and environmental aspects and thirteen sub-criteria. The review reveal that Kazakhstan has ample potential to develop a non-fossil fuel based electricity system. Furthermore, the model shows hydro to be the most favorable resource followed by solar; wind and nuclear are ranked third and fourth, respectively while biomass is found to be the least attractive option. It is also found that each resource is inclined towards a particular criterion; hydro towards social, solar towards economic, nuclear towards technical, with biomass and wind directed towards environmental. Besides reporting the use of the AHP model for the first time in the Kazakhstan context, the assessment carried out in this paper can assist decision-makers to articulate long-term energy policy for any country.

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Assessing supplier environmental performance: Applying Analytical Hierarchical Process in the United Arab Emirates healthcare chain

Cited by 83 publications

References 45 publications

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

Multi-criteria evaluation of renewable and nuclear resources for electricity generation in Kazakhstan

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