Green supplier selection generic framework: a multi-attribute utility theory approach

Shaik, Mohammed Najeeb; Abdul‐Kader, Walid

doi:10.1080/19397038.2010.542836

Cited by 44 publications

(22 citation statements)

References 55 publications

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“…For the development, we deductively derived an initial hierarchy from Benoît (2009) Govindan, Khodaverdi, and Jafarian (2013) and Global Reporting Initiative (2013) at first. We decided to divide the hierarchical structure according to the three dimensions of sustainability as used in several other sustainable supplier performance management literature (Sloan 2010;Chiouy, Chou, and Yeh 2011;Erol, Sencer, and Sari 2011;Shaik and Abdul-Kader 2011;Azadnia et al 2013;Govindan, Khodaverdi, and Jafarian 2013). Then, we gradually refined the initial hierarchy inductively with the help of the results of the comprehensive criteria analysis.…”

Section: Classification and Rigor Of Researchmentioning

confidence: 99%

Sustainable supplier management – a review of models supporting sustainable supplier selection, monitoring and development

Zimmer

Fröhling

Schultmann

2015

International Journal of Production Research

377

269

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In the last two decades, pressure from various stakeholders has forced many companies to establish environmental and social improvements both in their company and their supply chains. The growing number of journal publications and conference proceedings confirms this change also in academia. The aim of this paper is to analyse and review scientific literature on sustainable supplier management (SSM) with a focus on formal models supporting decision-making in sustainable supplier selection, monitoring and development. For this purpose, a framework on SSM is proposed and a comprehensive content analysis including a criteria analysis is carried out. Beyond this, in total 143 peer-reviewed publications between 1997 and 2014 have been analysed to identify both established and overlooked research fields. Major findings are the rapidly growing interest of this topic in academia in recent years, the predominance of Analytic Hierarchy Process, Analytic Network Process and fuzzy-based approaches, the focus on the final evaluation and selection process step and the rare investigation of social and quantitative metrics. This review may be useful for practitioners and scientists as it outlines major characteristics in this field, which can serve as a basis for further research.

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Section: Classification and Rigor Of Researchmentioning

confidence: 99%

Sustainable supplier management – a review of models supporting sustainable supplier selection, monitoring and development

Zimmer

Fröhling

Schultmann

2015

International Journal of Production Research

377

269

View full text Add to dashboard Cite

show abstract

“…Greenness level of each product for a related consumer segment is scaled from 1 to 7 where 1 means "totally not critical" and level 7 means "extremely critical". Table 2 presents the retailer's criteria defined by Shaik and Abdul-Kader (2011) and their expected levels from suppliers using 1 to 7 scale.…”

Section: Description Of the Example Studymentioning

confidence: 99%

A model proposal for green supply chain network design based on consumer segmentation

Coşkun

Ozgur

Polat

et al. 2016

Journal of Cleaner Production

107

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“…Some researchers have applied a single method to deal with sustainable supplier evaluation (e.g. Shaik & Abdul-Kader, 2011;Yakovleva et al, 2012;Wen et al, 2013), while other researchers have proposed hybrid methods, combining two or more than two methods in a unified framework, to improve sustainability evaluation of suppliers (e.g. Bai et al, 2010;Kuo et al, 2010;Girubha et al, 2016).…”

Section: Evaluation Approachesmentioning

confidence: 99%

Evaluating the sustainability of national logistics performance using Data Envelopment Analysis

2019

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Supplier selection has become one of the most crucial tasks in supply chain management, especially in the procurement function. In recent years, the importance of selecting the best possible suppliers has been enhanced due to the emergence of sustainability issues. Manufacturers have been obliged and/or encouraged by various stakeholders to embed environmental and social concerns into their supply chain activities. As a consequence of this evolution, procurement managers have started to not only evaluate the suppliers' economic abilities, but also their competencies in environmental and social aspects. In addition to traditional economic criteria, therefore, environmental criteria (e.g. energy consumption, greenhouse gas emissions) and social criteria (e.g. labour health and work safety, diverse education programs for employees) have been added to the process of evaluating suppliers. One group of suppliers with a crucial role in any chain is the group of logistics service providers that need to be evaluated and selected based on all three lines of sustainability, i.e. economic, environmental, and social competencies. Researchers have continuously proposed a number of diverse methods for handling the problem of sustainable supplier selection efficiently. Three of the most widely applied methods in the literature in this field are the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS), Data Envelopment Analysis (DEA) and the Analytical Hierarchy Process (AHP). Each method is applied to evaluate a set of suppliers, given a set of variables/criteria, to provide a ranking of the suppliers. As discussed in the literature, many strategic decisions can be made based on the outcomes of these methods, e.g. sourcing and benchmarking strategies. This study aims at comparing the outcomes of these three methods based on a common data set. The comparisons are illustrated with an empirical application for measuring the sustainability of a set of logistics service providers. In other words, this study sheds light on the aspect regarding the extent to which the outcomes of these methods are reliable for making strategic decisions in a supplier management system. The results reveal that each method produces a unique ranking of the logistics service providers under evaluation. Despite positive correlation coefficients between the rankings yielded, it is not possible to find only one supplier as the best or worst in the list. More specifically, the supplier rankings are influenced by the nature of the algorithm underpinning the evaluation methods and/or type of data used (e.g. fuzzy or non-fuzzy data). Therefore, due to this inconsistency between the outcomes of AHP, DEA, and TOPSIS, it is challenging to make decisions regarding sourcing and benchmarking strategies. It is not possible to find the best supplier(s) for either single-or multiplesourcing strategies. Of course, considering the outcomes of only one method is not reliable, but the buying company can create a network of top suppliers based on the ...

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Green supplier selection generic framework: a multi-attribute utility theory approach

Cited by 44 publications

References 55 publications

Sustainable supplier management – a review of models supporting sustainable supplier selection, monitoring and development

Sustainable supplier management – a review of models supporting sustainable supplier selection, monitoring and development

A model proposal for green supply chain network design based on consumer segmentation

Evaluating the sustainability of national logistics performance using Data Envelopment Analysis

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