Bi-level programming for supplier selection under quantity discount policy

Zaheri, F.; Zandieh, M.; Taghavifard, Mohammad Taghi

doi:10.24200/sci.2017.4297

Cited by 5 publications

(4 citation statements)

References 26 publications

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“…The bi-level model found out optimum overall output and minimum cumulative cost of development of each supplier at upper and lower goal levels, respectively. Zaheri et al (2017) proposed order distribution problem under supplier selection perspectives. For this analysis, both customer and supplier were believed to have played leading positions in the bi-level model.…”

Section: Model For Green Supplier Selectionmentioning

confidence: 99%

A multi-level programming model for green supplier selection

Gupta

Chatterjee

Yazdani

et al. 2021

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PurposeIndustrial organizations often face difficulties in finding out the methods to meet ever increasing customer expectations and to remain competitive in the global market while maintaining controllable expenses. An effective and efficient green supply chain management (GSCM) can provide a competitive edge to the business. This paper focusses on the selection of green suppliers while simultaneously balancing economic, environmental and social issues.Design/methodology/approachIn this study, it is assumed that two types of decision-makers (DMs), namely, the first level and second-level DMs operate at two separate groups in GSC. The first-level DMs always empathise to optimize carbon emissions, per unit energy consumption per product and per unit waste production, while the second-level DMs seek to optimize ordering costs, number of rejected units and number of late delivered units in the entire GSCM. In this paper, fuzzy goal programming (FGP) approach has been adopted to obtain compromise solution of the formulated problem by attaining the uppermost degree of each membership goal while reducing their deviational variables. Furthermore, demand has also been forecasted using exponential smoothing analysis. The model is verified on a real-time industrial case study.FindingsThis research enables DMs to analyse uncertainty scenarios in GSCM when information about different parameters are not known precisely.Research limitations/implicationsThe proposed model is restricted to vagueness only, however, DMs may need to consider probabilistic multi-choice scenarios also.Practical implicationsThe proposed model is generic and can be applied for large-scale GSC environments with little modifications.Originality/valueNo prior attempt is made till date to present interval type-2 fuzzy sets in a multi-objective GSC environment where the DMs are at hierarchical levels. Interval type-2 fuzzy sets are considered as better ways to represent inconsistencies of human judgements, its incompleteness and imprecision more accurately and objectively. Also, crisp or deterministic forms of uncertain parameters have been obtained by taking expected value of the fuzzy parameters.

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Section: Model For Green Supplier Selectionmentioning

confidence: 99%

A multi-level programming model for green supplier selection

Gupta

Chatterjee

Yazdani

et al. 2021

View full text Add to dashboard Cite

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“…Facility location problems [1][2][3] 2. Supply chain management [4][5][6] 3. Missile defense design [7] 4.…”

Section: Related Literaturementioning

confidence: 99%

Designing of a Mat-heuristic Algorithm for Solving Bi-level Optimization Problems

2021

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In this paper, a new algorithm for solving bi-level optimization problems is presented. This algorithm can obtain the optimal or near-optimal solution for any bi-level optimization problem. The decision variables of the first and second level models can be both integers and continuous. In this method, by solving a certain number of the bi-objective programming model and then solving the corresponding second-level model, a bi-level feasible solution that is either optimal or near-optimal is identified. To evaluate the efficiency of the algorithm, the value of the objective function, as well as its computation time in different instances, are compared with exact methods as well as evolution-based methods. The numerical results confirm the high efficiency of the proposed algorithm.

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“…A systematic literature review on supplier selection research streams and future scope was presented in Wetzstein et al [13]. Recently, Zaheri et al [14] considered an all-unit quantity discount policy in supplier selection problem. Adeinat and Ventura [15] developed an integrated pricing and supplier selection model when the demand is price sensitive.…”

Section: Supplier Selection and Allocation Problemmentioning

confidence: 99%

Two-stage game-theoretic approach to supplier evaluation, selection and order assignment

Wee

Jeng

et al. 2020

Scientia Iranica

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This study proposes a framework for supplier evaluation, selection, and assignment that incorporates a two-stage game-theoretic approach method. The objective is to provide insights to manufacturers in choosing suitable suppliers for different manufacturing processes. The framework applies to the decision logic of multiple manufacturing processes. In the first stage, a non-cooperative game model is utilized for supplier evaluation and selection. The interactive behaviors between a manufacturer and some supplier candidates are modeled and analyzed so that the supplier evaluation value (SEV) can be obtained using the Nash equilibrium. In the second stage, the supplier evaluation values become the input for the Shepley values calculation of each supplier under a cooperative game model. The Shapley values are utilized to create a set of limited supplier allocation. This paper provides managerial insights to verify the proposed approach on supplier selection and allocation. Thus, enables supply chain management (SCM) manager to optimize supplier evaluation, selection, and order assignment.

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Bi-level programming for supplier selection under quantity discount policy

Cited by 5 publications

References 26 publications

A multi-level programming model for green supplier selection

A multi-level programming model for green supplier selection

Designing of a Mat-heuristic Algorithm for Solving Bi-level Optimization Problems

Two-stage game-theoretic approach to supplier evaluation, selection and order assignment

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