A decision framework for sustainable supplier selection and order allocation with lost sales

Gören, Hacer Güner

doi:10.1016/j.jclepro.2018.02.211

Cited by 170 publications

(102 citation statements)

References 110 publications

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“…Moreover, based on the SSCM principle, existing studies have shown that the evaluation criteria of SSS should observe the triple bottom line, i.e., it should include three aspects: economic, environmental and social (Elkington, 1998). The economic criteria are the maximum income set against the minimum input, and are mainly related to product cost, quality, production capacity, and technical capability (Weber et al, 1991;Yu & Wong, 2015;Goren, 2018). The environmental criteria mainly refer to the problems of product pollution and energy conversation, and include eco-design, green raw materials, pollution and recycling (Roostaee et al, 2012;Yu et al, 2019).…”

Section: The Evaluation Criteriamentioning

confidence: 99%

An Integrated Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection Under Picture Fuzzy Environment

Peng

Tian

Zhang

et al. 2020

Technological and Economic Development of Economy

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Sustainable supplier selection (SSS) is an important part of sustainable supply chain management (SSCM). In this paper, an integrated multi-criteria decision-making (MCDM) framework, based on the picture fuzzy exponential entropy, and the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method, is proposed to manage SSS problems. Firstly, the evaluation criteria of SSS, including economic, environmental and social, is established. This can be evaluated in the form of the actual data or linguistic terms provided by suppliers and experts respectively in an actual decision-making process. Then, according to the translated scales, all the evaluation information can be converted into picture fuzzy numbers (PFNs). Secondly, the picture fuzzy exponential entropy is defined. Moreover, based on the entropy’s minimization principle, the defined picture fuzzy exponential entropy is used to determine the weight of the SSS’s criteria. Thirdly, the extended VIKOR method, which combines the grey correlation coefficient, is utilized to select a suitable supplier. This method avoids the shortcomings of the traditional VIKOR method in data mining and solves the conflict between SSS criteria. Finally, the feasibility and effectiveness of the proposed integrated decision framework are verified by an experiment, as well as a sensitivity analysis and comparative analysis.

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Section: The Evaluation Criteriamentioning

confidence: 99%

An Integrated Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection Under Picture Fuzzy Environment

Peng

Tian

Zhang

et al. 2020

Technological and Economic Development of Economy

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“…He applied fuzzy DEMATEL and Taguchi Loss Functions for calculating sustainability weight of each supplier. The results demonstrated the applicability and usefulness of such hybrid method [20]. Indeed, this paper develops a two steps decision 4 framework that determining the RWs of the suppliers (by utilizing analytical framework), and then selecting supplier and allocating order quantity to them (developing a multi-objective mathematical model).…”

Section: Literature Reviewmentioning

confidence: 93%

“…In the first stage the model seeks to select appropriate suppliers and total order quantity while in the second stage the model optimizes order size in different periods. Gören [20] proposed a hybrid decision framework for selecting supplier and allocating order quantity regarding sustainability factors. He applied fuzzy DEMATEL and Taguchi Loss Functions for calculating sustainability weight of each supplier.…”

Section: Literature Reviewmentioning

confidence: 99%

Resilience Supplier Selection and order allocation under uncertainty

Sahebjamnia

2018

Scientia Iranica

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“…One of the mostly applied MADM methods in supplier evaluations is AHP [18,19]. The analytic network process (ANP) [20,21], the technique for order preference by similarity to ideal solution (TOPSIS) [22,23], visekriterijumska optimizacija i kompromisno resenje (VIKOR) [24][25][26], the decision-making trial and evaluation laboratory (DEMATEL) [27,28] and the best-worst method (BWM) [3] are other MADM methods that are used in suppliers evaluation process. Also, linear programming (LP) [29], mixed integer linear programming (MILP) [30,31], fuzzy multi-objective linear programming (FMOLP) [3], multi-objective mixed integer linear programming (MOMILP) [32], multi-objective mixed integer non-linear programming (MOMINLP) [16,33] and goal programming [34] are common MODM methods.…”

Section: Introductionmentioning

confidence: 99%

“…To this end, they used a novel fuzzy QFD model in order to determine the suppliers' weights and, then, they developed a stochastic MOLP model for order allocation. An integrated three-part approach for sustainable supplier selection and order allocation was presented by Gören [27] considering lost sales. In the first part of the proposed approach, the weights of the criteria are calculated by the fuzzy DEMATEL.…”

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confidence: 99%

A fuzzy solution approach for supplier selection and order allocation in green supply chain considering location-routing problem

2019

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In the field of supply chain, selecting a suitable green supplier could significantly help us to decrease the cost and the risk involved in the operations as well as increase in the quality and green. In this paper, we develop an integrated two-stage approach based on fuzzy analytic hierarchy process (FAHP) and multi-objective mixed-integer linear programming to select suppliers and order allocation in green supply chain. In the first stage, suppliers are evaluated using FAHP method, and in the second stage, a multi-product multi-period supply chain considering green location-routing problem, discounting, and time window under uncertainty is developed. Then, a fuzzy solution approach is applied to solve proposed model using the data of a pharmaceutical chain in Iran. Results will verify the efficiency of the proposed model. [38], Ware et al. [39], Chai et al. [40], Igarashi et al. [41], Govindan et al. [42], Zimmer et al. [43] and Keshavarz Ghorabaee et al. [44]. Studies in the field of supplier selection can be mainly divided into three categories: supplier evaluation and selection, order allocation and combination of both [3]. In this research, the papers on the Green Supplier Selection and Order allocation are reviewed. Mafakheri et al. [45] used the AHP to determine the criteria weights and obtain the suppliers' scores. They also used a bi-objective mathematical model and a solution approach based on dynamic programming for order allocation. The objective functions simultaneously minimize costs and maximizes the purchase value. Four main criteria of price, delivery, quality and environmental performance were defined for supplier evaluation. Shaw et al. [46] presented a combined approach based on FAHP and fuzzy MOLP for supplier selection and order allocation problem towards minimizing greenhouse gas emissions. They applied the model on garment manufacturing company in India as for model validation. Kannan et al. [13] developed an integrated approach based on FAHP, FTOPSIS and MOLP for supplier selection and order allocation in a green supply chain management. They measured the performance of each supplier based on the cost, quality, delivery, technology capability and environmental competency criteria, using the combination of FAHP and FTOPSIS methods. Then, the resulted scores were used as a factor in the objective function of maximizing purchases from the fitting suppliers. The other objective function was to minimize total cost of purchasing. Using three environmental criteria including environmental management system, pollution and greenhouse emissions, along with other criteria, Azadnia et al. [47] utilized the FAHP method to evaluate suppliers. They developed a multi-objective programming model for allocating orders to suppliers. Govindan and Sivakumar [14] proposed a MOLP model for simultaneously minimizing costs, minimizing defective product purchases, minimizing delays in products delivery, minimizing recycling losses, and minimizing carbon emissions. They used fuzzy TOPSIS method to calculate th...

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A decision framework for sustainable supplier selection and order allocation with lost sales

Cited by 170 publications

References 110 publications

An Integrated Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection Under Picture Fuzzy Environment

An Integrated Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection Under Picture Fuzzy Environment

Resilience Supplier Selection and order allocation under uncertainty

A fuzzy solution approach for supplier selection and order allocation in green supply chain considering location-routing problem

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