Supplier selection and order allocation using two-stage hybrid supply chain model and game-based order price

Yousefi, Samuel; Rezaee, Mustafa Jahangoshai; Solimanpur, Maghsud

doi:10.1007/s12351-019-00456-6

Cited by 33 publications

(22 citation statements)

References 51 publications

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“…The product will be delivered to the customer if and only if the vehicle is visited the customer and the vehicle has already been supplied. This issue has been explained in constraints (16) and (17), respectively.…”

Section: Parametersmentioning

confidence: 99%

“…Moreover, by adding environmental considerations to this already complicated problem, the complexity will increase. There are numerous studies in the literature which uses MCDM methods for green supplier selection and order allocation [3,[13][14][15][16]. MCDM process is divided to two parts: multiple attribute decision-making (MADM) and multiple objective decision-making (MODM).…”

Section: Introductionmentioning

confidence: 99%

“…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. These methods have been used in the field of supplier selection and order allocation.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2019

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“…Nowadays, in markets worldwide, products with short life cycles as well as customers with great expectations make companies pay special attention to SC. Nevertheless, SC members require proper arrangement as well as harmonization to make a supply chain management (SCM) effective [4]. is can have serious implications for perishability that can in turn influence all SC processes such as production process, inventory management, and distribution [5].…”

Section: Introductionmentioning

confidence: 99%

Integrated Quality-Based Production-Distribution Planning in Two-Echelon Supply Chains

Pasha

Kamalabadi

Eydi

2021

Mathematical Problems in Engineering

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The integrated production-distribution (P-D) planning has turned into one of the most essential areas in supply chain (SC) management in recent years, especially in the case of perishable products in which the quality of products can change over time. Nonetheless, so far, the suggested models have focused on the P-D stages of the chain while the delivery of high-quality products to customers is of paramount significance in the perishable SC. In the present paper, a multiobjective, mixed-integer, and nonlinear programming (MOMINLP) mathematical model was developed for integrated P-D deteriorating items in a two-echelon SC that emphasizes quality degradation. Quality is monitored and calculated as a function of temperature and time throughout the SC, and the main purpose of the model is to first increase the quality of products delivered to customers and, second, minimize the SC costs. To optimize the problem, the particle swarm optimization (PSO) approach was also incorporated into the model. The obtained model was applied to a case study in Protein Gostar Sina Company in Iran, which resulted in decreased P-D costs as well as increased customer satisfaction.

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“…We refer the reader to Chen and Simchi‐Levi (2012) for a comprehensive survey on joint pricing and inventory management models including deterministic and stochastic demand under various settings. Further, researchers have incorporated supplier selection to the integrated pricing and production/inventory planning model for the purpose of improving the efficiency of the entire supply chain and the profitability of the company (Qi, 2007; Rezaei & Davoodi, 2012; Adeinat & Ventura, 2015; Duan & Ventura, 2019; Yousefi, Jahangoshai, & Solimanpur, 2019).…”

Section: Introductionmentioning

confidence: 99%

Technical Note: A Joint Pricing, Supplier Selection, and Inventory Replenishment Model Using the Logit Demand Function*

Duan

Ventura

2020

Decision Sciences

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We revisit the joint pricing, supplier selection, and inventory replenishment problem for a single item in a two‐stage system examined by Adeinat and Ventura (2015) and use the logit function to model the price‐sensitive demand. This article provides a detailed analysis regarding the shape and properties of the logit demand function. In this context, we propose a two‐stage piecewise‐linear approximation technique to solve the integrated pricing, supplier selection, and inventory replenishment model. Besides, in this research, we provide sufficient justification for the selection of the logit demand function as well as a comparison with other demand functions. A numerical study further suggests the importance of using a precise demand curve to select the set of suppliers, coordinate inventory, and accurately optimize the profit function.

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Supplier selection and order allocation using two-stage hybrid supply chain model and game-based order price

Cited by 33 publications

References 51 publications

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

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

Integrated Quality-Based Production-Distribution Planning in Two-Echelon Supply Chains

Technical Note: A Joint Pricing, Supplier Selection, and Inventory Replenishment Model Using the Logit Demand Function*

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