Dynamic procurement risk management with supplier portfolio selection and order allocation under green market segmentation

Wong, Jui-Tsung

doi:10.1016/j.jclepro.2019.119835

Cited by 39 publications

(19 citation statements)

References 39 publications

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“…. (2018),Moheb-Alizadeh et al (2017),Beauchamp et al (2015),Bodaghi et al (2018),Dotoli et al (2015),Gupta et al (2016),Hu et al (2018),Kazemi et al (2015),Kilici and Yalcin (2020) Moghaddam (2015a, b),Rosyidi et al (2016),Sawik (2016),Talebi and Jafari (2015),Torabi et al (2015),Tsai (2015),Vahidi et al (2018) PeriodsAhmadi and Amin (2019),Moheb-Alizadeh and Handfield (2019),Arabsheybani et al (2018),Aggarwal et al (2018),Moheb-Alizadeh et al (2017),Almasi et al (2019),Azadnia and Ghadimi (2018),Azadnia (2016), Handfield (2018) Azadnia et al (2015); Babbar and Amin (2018); Bektur (2020);Bodaghi et al (2018);Cui et al (2015);Çebi and Otay (2016);Feng and Gong (2020); Gören (2018);Hajikhani et al (2018); Cheaitou (2015, 2017b);Hasan et al (2020),Hosseini and Nezhad (2019),,Hu et al (2016),Hu et al (2018),Kaur and Singh (2020),Kazemi et al (2015),Kellner and Utz (2019),Khoshfetrat et al (2019), Kilici and Yalcin (2020),Lee et al (2015),Mirzaee et al (2018),Sawik (2016),Shadkam and Bijari (2017),Tirkolaee et al (2020),Tsai (2015),Wong (2020) Products Ahmadi and Amin (2019), Alegoz and Yapicioglu (2019), Moheb-Alizadeh and Handfield (2019), Arabsheybani et al (2018), Aggarwal et al (2018), Almasi et al (2019), Azadnia and Ghadimi (2018), Azadnia (2016), Moheb-Alizadeh and Handfield (2018) Azadnia et al (2015); Babbar and Amin (2018); Bektur (2020); Bodaghi et al (2018); Cui et al (2015); Çebi and Otay (2016); Duan et al (2019); Feng and Gong (2020); Fu et al (2016); Ghadimi et al (2018); Ghorabaee et al (2017); Gören (2018); Govindan and Sivakumar (2016); Govindan et al (2020); Hajikhani et al (2018); Hamdan and Cheaitou (2015, 2017b); Hu et al (2016); Jia et al (2020); Kaur and Singh...…”

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confidence: 99%

Supplier selection and order allocation: a literature review

Naqvi

Amin

2021

J. of Data, Inf. and Manag.

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The goals of procurement managers in every industry usually are acquiring the right materials at the right time, at the right prices and quantities. To achieve these goals, the best suppliers should be selected. Supplier selection and order allocation have been studied extensively in the past. In this paper, we review the peer-reviewed journal publications in this area. The taxonomy in this research includes problem domain and operations research techniques. The problem domain is examined in three subcategories including Literature Reviews (LR), Deterministic Optimization (DO) models, and Uncertain Optimization (UO) models. Then, observations, recommendations, and future research directions in the field of supplier selection and order allocation are discussed.

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confidence: 99%

Supplier selection and order allocation: a literature review

Naqvi

Amin

2021

J. of Data, Inf. and Manag.

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“…VIKOR creates a multi-criteria rating index based on a specific assessment of closeness to the ideal solution. [39] Fuzzy goal programming Green supplier selection with risk management Çalık (2021) [40] Pythagorean fuzzy AHP and fuzzy TOPSIS Green supplier selection in the industry 4.0 era…”

Section: Literature Review On Proposed Methodologiesmentioning

confidence: 99%

A Two Phase Integrated Fuzzy Decision-Making Framework for Green Supplier Selection in the Coffee Bean Supply Chain

2021

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In Vietnam, as more and more organizations are moving toward globalization, green supplier selection (GSS) has emerged as a strategic approach in supply chain management that requires supplier practices in lessening the environmental risks to society. Based on both conventional and environmental criteria, this paper aims to evaluate a set of suppliers by establishing a multi-criteria decision-making (MCDM)-based framework using an integrated fuzzy analytical hierarchy process (FAHP) with the VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. Initially, five GSS criteria of the environmental aspect (wastewater treatment, solid waste generation, energy consumption, air pollution, corporate social responsibility) and conventional criteria (quality, cost, delivery, and technology) are identified from the literature and consulting field experts to employ the MCDM approach. The trustworthiness of the proposed integrated framework is presented by discussing a case study in the coffee bean supply chain in Vietnam. The FAHP is used to generate criteria weights in which fuzzy set theory is applied to translate the linguistic evaluation statements of experts, and VIKOR is used to rank the alternatives against the selected criteria. From FAHP findings, the most important criteria are quantity discount, solid waste generation, order fulfillment rate, logistics cost, and purchasing cost. A consistency test is performed to ensure the uniformity of the expert’s input. The best suppliers are determined through the final ranking of the VIKOR model for the case study. The work presented provides insight to decision-makers of supplier selection that helps determine significant GSS criteria and aids in the minimization of environmental risks to society arising from the supply chain on corporate sustainability standards.

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“…Kellner et al (2019) presented an approach that supports purchasing managers in defining mid-term supplier portfolios. Wong et al (2019) constructed a fuzzy goal programming model focusing on the importance of a supplier portfolio and OA and pioneered the integration of a supplier's dynamic risk and green market segmentation in supplier selection problems. Jia et al (2020) proposed an optimization model that balances multiple conflicting objectives, effectively solving our SSS & OA problem.…”

Section: Sss and Oamentioning

confidence: 99%