An improved multi-choice goal programming approach for supplier selection problems

Jadidi, Omid; Cavalieri, Sergio; Zolfaghari, Saeed

doi:10.1016/j.apm.2014.12.022

Cited by 112 publications

(53 citation statements)

References 34 publications

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“…Several weighting vectors are assumed for the purpose of comparing solutions. We adopted three sets of weighting parameter w, proposed be Jadidi et al [11] for the same supplier selection problem. The results are shown in Table 8.…”

Section: Summary Of Results and Discussionmentioning

confidence: 99%

“…Pi and Low [38] proposed quality, delivery, price and service for supplier evaluation. Amid et al [39] uses price, quality, and service, and Jadidi et al [11] utilized price, quality, and lead time to the supplier selection and order allocation model. As shown by the literature, the most important criteria for supplier selection problems are cost, quality, and delivery.…”

Section: Proposed Modelmentioning

confidence: 99%

“…Therefore, the overall supplier selection problem should not only cover the selection of the right supplier but also the determination of the orders assigned to the selected supplier based on the given objectives and constraints [8]. To date, however, only a few mathematical programming models to analyze such decisions have been published [9][10][11][12]. In the field of supply chain management, it is necessary to develop a precise decision support model which simultaneously considers supplier selection and order allocation.…”

Section: Introductionmentioning

confidence: 99%

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An Interactive Multiobjective Optimization Approach to Supplier Selection and Order Allocation Problems Using the Concept of Desirability

Lee

Kang

2018

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Abstract:In supply chain management, selecting the right supplier is one of the most important decision-making processes for improving corporate competitiveness. In particular, when a buyer considers selecting multiple suppliers, one should consider the issue of order allocation with supplier selection. In this article, an interactive multiobjective optimization approach is proposed for the supplier selection and order allocation problem. Also, the concept of desirability is incorporated into the optimization model to take into account the principles of diminishing marginal utility. The results are presented by comparing them with the solutions from the weighting methods. This study shows the advantage of the proposed method in that the decision-maker directly checks the degree of desirability and learns his/her preference structure through improved solutions.

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Section: Summary Of Results and Discussionmentioning

confidence: 99%

Section: Proposed Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Interactive Multiobjective Optimization Approach to Supplier Selection and Order Allocation Problems Using the Concept of Desirability

Lee

Kang

2018

Information

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“…The model's solution was a mitigation plan, through backup suppliers, that would be used when the supply chain faced a disruption and a supplier-order assignment matrix that optimized the multiple objectives of the model. Jadidi et al [12] formulated a single product supplier selection problem as a multiobjective optimization model with three minimization objectives: price, rejects, and lead-time and a new multichoice goal programming (MCGP) approach was proposed. On the AI, Tsai et al [13] developed an approach based on the attribute-based ant colony system (AACS) to construct a platform to examine the critical factors for decision-making in a dynamic business environment in order to select the appropriate suppliers.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling Multilevel Supplier Selection Problem Based on Weighted-Directed Network and Its Solution

Wei

Zuo

Jiang

et al. 2017

Discrete Dynamics in Nature and Society

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With the rapid development of economy, the supplier network is becoming more and more complicated. It is important to choose the right suppliers for improving the efficiency of the supply chain, so how to choose the right ones is one of the important research directions of supply chain management. This paper studies the partner selection problem from the perspective of supplier network global optimization. Firstly, this paper discusses and forms the evaluation system to estimate the supplier from the two indicators of risk and greenness and then applies the value as the weight of the network between two nodes to build a weighted-directed supplier network; secondly, the study establishes the optimal combination model of supplier selection based on the global network perspective and solves the model by the dynamic programming-tabu search algorithm and the improved ant colony algorithm, respectively; finally, different scale simulation examples are given to testify the efficiency of the two algorithms. The results show that the ant colony algorithm is superior to the tabu search one as a whole, but the latter is slightly better than the former when network scale is small.

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“…In the literature of supply chain network design problems, to make the models more realistic, several objectives are considered together (Murillo-Alvarado et al 2015;Pasandideha et al 2015;Godichaud and Amodeo 2015;Gholamian et al 2015). Besides, the solution of multi-objective problems is both attractive and challenging (Kao et al 2014;Jadidia et al 2015;Ghodratnama et al 2015;Validi et al 2014).…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

A meta-heuristic approach supported by NSGA-II for the design and plan of supply chain networks considering new product development

et al. 2017

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There are many reasons for the growing interest in developing new product projects for any firm. The most embossed reason is surviving in a highly competitive industry which the customer tastes are changing rapidly. A well-managed supply chain network can provide the most profit for firms due to considering new product development. Along with profit, customer satisfaction and production of new products are goals which lead to a more efficient supply chain. As new products appear in the market, the old products could become obsolete, and then phased out. The most important parameter in a supply chain which considers new and developed products is the time that developed and new products are introduced and old products are phased out. With consideration of the factors noted above, this study proposes to design a tri-objective multi-echelon multiproduct multi-period supply chain model, which incorporates product development and new product production and their effects on supply chain configuration. The supply chain under consideration is assumed to consist of suppliers, manufacturers, distributors and customer groups. In terms of overcoming NP-hardness of the proposed model and in order to solve the complicated problem, a non-dominated sorting genetic algorithm is employed. As there is no benchmark available in the literature, the non-dominated ranking genetic algorithm is developed to validate the results obtained and some test problems are provided to show the applicability of the proposed methodology and evaluate the performance of the algorithms.

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An improved multi-choice goal programming approach for supplier selection problems

Cited by 112 publications

References 34 publications

An Interactive Multiobjective Optimization Approach to Supplier Selection and Order Allocation Problems Using the Concept of Desirability

An Interactive Multiobjective Optimization Approach to Supplier Selection and Order Allocation Problems Using the Concept of Desirability

Modeling Multilevel Supplier Selection Problem Based on Weighted-Directed Network and Its Solution

A meta-heuristic approach supported by NSGA-II for the design and plan of supply chain networks considering new product development

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