Analysis and Prioritization of Green Health Suppliers Using Fuzzy ELECTRE Method with a Case Study

Shojaie, Amir Abbas; Babaie, Sepideh; Sayah, Emel; Mohammaditabar, Davood

doi:10.1007/s40171-017-0168-2

Cited by 41 publications

(17 citation statements)

References 30 publications

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“…Generally, a collected dataset can be used in the future for giving weight to stakeholders (Mary & Suganya, 2016). The ELECTRE method and its variant find extensive applications in decision-making problems, for instance, supplier selection (Fei et al, 2019;Girubha et al, 2016), service provider (Mishra et al, 2020), prioritizing health supplies (Shojaie et al, 2018), facility layout selection (Aiello & Galante, 2006), renewable energy planning (Beccali et al, 2003) and so on.…”

Section: Application Of Electre Methods In Decisionmakingmentioning

confidence: 99%

Developing a Strategic Sustainable Facility Plan for a Hospital Layout Using Electre and Apples Procedure

K.E.K

Kandasamy

Nadeem

et al. 2020

International Journal of Strategic Property Management

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Today healthcare globally is growing at a rapid pace and despite the huge technological advancement, healthcare still faces primitive challenges and hence results in the poor service and facility to the needy. Layout planning acts as one major reason which requires improvements for the effective and efficient working of the healthcare facilities. This research aims at optimizing several quantitative criteria related to economic, technology and society which are taken into consideration for the decision-making during the evaluation, analysing and selection of the best layout for an existing healthcare facility. Critical areas for the improvement were found out using statistical analysis based on a survey questionnaire and Apple’s layout procedure is utilised to design the different possible layouts for an efficient facility. The seven criteria namely inter-departmental satisfactory level, the average distance travelled and the average time required for staff flow, the average distance travelled and the average time required for patient flow, the average distance travelled and the average time required for material flow were taken into consideration. The ELECTRE methodology was used as multi-criteria decision making based on decided seven criteria for comparing the different layout by methodical and orderly thinking.

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Section: Application Of Electre Methods In Decisionmakingmentioning

confidence: 99%

Developing a Strategic Sustainable Facility Plan for a Hospital Layout Using Electre and Apples Procedure

K.E.K

Kandasamy

Nadeem

et al. 2020

International Journal of Strategic Property Management

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“…Prioritization of risk involves the multiple conflicting criteria with finite set of alternatives (Wang et al, 2009). Different MCDM technique such as analytic hierarchy process (AHP) (Khatwani and Kar, 2017;Zeshui and Cuiping, 1999), analytic network process (ANP) (Jharkharia and Shankar, 2007;Cheng et al, 2005), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) (Kumar and Dash, 2017;Kermani et al, 2016), ELimination and Choice Expressing REality (ELECTRE) (Shojaie et al, 2018;Ergazakis et al, 2011), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) (Senthil et al, 2018;Mardani et al, 2015) and VIKOR (Wan et al, 2013;Mardani et al, 2015) has been applied in prioritization problems.…”

Section: Methodsmentioning

confidence: 99%

“…Second, in the past literature, prioritization of different factors has been done using methods like AHP (Shojaie et al, 2018;Lee and Kozar, 2006;Kar and Rakshit, 2015;Kar and Pani, 2014) but there is no study has been done which applied the GANP method to prioritize the multi-dimension of risk while using digital services. The GANP method has been developed first by the Zhu et al (2015).…”

Section: Implications For Academiamentioning

confidence: 99%

When the mobile app is free, the product is your personal data

Polykalas

Prezerakos

2019

DPRG

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Purpose-Mobile devices (smartphones, tables etc.) have become the de facto means of accessing the internet. While traditional Web browsing is still quite popular, significant interaction takes place via native mobile apps that can be downloaded either freely or at a cost. This has opened the door to a number of issues related to privacy protection since the smartphone stores and processes personal data. The purpose of this paper is to examine the extent of access to personal data, required by the most popular mobile apps available in Google Play store. In addition, it is examined whether the relevant procedure is in accordance with the provisions of the new EU Regulation. Design/methodology/approach-The paper examines more than a thousand mobile apps, available from the Google Play store, with respect to the extent of the requests for access to personal data. In particular, for each available category in Google Play store, the most popular mobile apps have been examined both for free and paid apps. In addition, the permissions required by free and paid mobile apps are compared. Furthermore, a correlation analysis is carried out aiming to reveal any correlation between the extent of required access to personal data and the popularity and the rating of each mobile app. Findings-The findings of this paper suggest that the majority of examined mobile apps require access to personal data to a high extent. In addition, it is found that free mobile apps request access to personal data in a higher extent compared to the relevant requests by paid apps, which indicates strongly that the business model of free mobile apps is based on personal data exploitation. The most popular types of access permissions are revealed for both free and paid apps. In addition, important questions are raised in relation to user awareness and behavior, data minimization and purpose limitation for free and paid mobile apps. Originality/value-In this study, the process and the extent of access to personal data through mobile apps are analyzed. Although several studies analyzed relevant issues in the past, the originality of this research is mainly based on the following facts: first, this work took into account the recent Regulation of the EU in relation to personal data (GDPR); second, the authors analyzed a high number of the most popular mobile apps (more than a thousand); and third, the authors compare and analyze the different approaches followed between free and paid mobile apps.

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“…Analytical Hierarchy Process (AHP) is one of the most popular techniques used to solve complex multi-criteria decision-making problems to provide an efficient solution involving several criteria for making the decision [ 60 ]. Saaty initially proposed AHP [ 55 , 56 ].…”

Section: Overview Of Analytical Hierarchy Process and Fuzzy Analyticamentioning

confidence: 99%

A lean approach to healthcare management using multi criteria decision making

et al. 2021

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Recent challenges induced by the global pandemic COVID-19 have highlighted the critical importance of coping with a sudden surge in demand for front line healthcare services. Motivated by the success of lean implementation in manufacturing systems, this study attempts to apply the lean principles in healthcare delivery environments. The lean approach begins with the identification of seven types of wastes in any production or service system. This study attempts to identify and prioritize the present in hospitals. The study contributes to the existing body of knowledge in two ways. First, we identify the various sources contributing to the seven basic wastes in healthcare delivery. Second, we prioritize the seven types of wastes and the dimensions contributing to these wastes using a Multi-Criteria Decision Making (MCDM). This paper used the fuzzy analytical hierarchy process approach, which is a well-accepted tool in MCDM. The study was conducted at select hospitals located in and around Pune city in India. We find that waiting, transportation, motion, and defects are dominant in adopting lean practices among the seven wastes. The findings of this study may guide hospital management in strategic planning in adopting a lean healthcare process. To our knowledge, this is one of the first studies to extract, and prioritise lean wastes within the context of the healthcare sector.

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Analysis and Prioritization of Green Health Suppliers Using Fuzzy ELECTRE Method with a Case Study

Cited by 41 publications

References 30 publications

Developing a Strategic Sustainable Facility Plan for a Hospital Layout Using Electre and Apples Procedure

Developing a Strategic Sustainable Facility Plan for a Hospital Layout Using Electre and Apples Procedure

When the mobile app is free, the product is your personal data

A lean approach to healthcare management using multi criteria decision making

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