supply chain management
Mehdi Keshavarz-Ghorabaee
Abstract
Supplier selection and order allocation are two of the most important issues in supply chain management, which can have a significant impact on the overall performance and efficiency of an organization. This research presents a new approach based on group decision-making to address this problem. Firstly, ...
Read More
Supplier selection and order allocation are two of the most important issues in supply chain management, which can have a significant impact on the overall performance and efficiency of an organization. This research presents a new approach based on group decision-making to address this problem. Firstly, the evaluation outputs of decision-makers are converted into interval-valued Pythagorean fuzzy sets using a quantitative procedure. Then, based on these fuzzy elements, the CRITIC method is employed to determine the weights of the criteria. Using the Einstein weighted geometric aggregation operator and the extracted weights, the final performance of each supplier is calculated as an interval-valued Pythagorean fuzzy set. In the next step, a multi-objective model is formulated considering the order allocation parameters and the obtained performances from the suppliers. Finally, the fuzzy programming technique is used to solve the multi-objective model. To analyze the efficiency of the proposed approach, a practical example based on environmental criteria is considered, and a sensitivity analysis is performed on the criteria weights to evaluate the reasonableness and efficiency of the results. The obtained results indicate the performance of the proposed approach in solving the supplier selection and order allocation problem.
Ali Bonyadi Naieni; Sirous Amirghodsi; Ahmad Makui
Abstract
One of the important decisions in the supply chain is the supplier selection affecting different sectors and objectives of a chain significantly. In supplier selection area, product/technology selection, product/technology transfer method selection, and product/technology supplier selection are three ...
Read More
One of the important decisions in the supply chain is the supplier selection affecting different sectors and objectives of a chain significantly. In supplier selection area, product/technology selection, product/technology transfer method selection, and product/technology supplier selection are three debatable factors. Hence, in this paper, criteria influencing these three indicators will be identified and their importance will be ranked by Gray-DEMETEL and Best-Worst Method (BWM). Then, the priority of the options will be determined using Gray Analytical Network Process (GANP), which is one of the strongest decision-making methods. This paper attempts to demonstrate the superiority of the BWM method in determining the importance of criteria while comparing previous methods in this group. The compliance rate obtained for the BWM confirms this claim. In order to investigate the proposed approach, a case was conducted with 5 final suppliers, 3 technologies and 5 technology transfer methods, which ended with the selection of the best supplier with the highest technology and capable of transferring the technology by the optimal transfer method.
Parham Azimi; Farzaneh Goldar; Esmaeil Mehdizadeh
Volume 13, Issue 36 , April 2015, , Pages 115-142
Abstract
Supply chain management (SCM) is one of the most important competitive strategies used by modern companies. The main goal of supply chain management is integration different suppliers to fulfill market demand. Therefore, evaluation and selection of suppliers has critical role and significant effect on ...
Read More
Supply chain management (SCM) is one of the most important competitive strategies used by modern companies. The main goal of supply chain management is integration different suppliers to fulfill market demand. Therefore, evaluation and selection of suppliers has critical role and significant effect on supply chain management. This paper presents hybrid model based on clustering approach and suppliers' selection. At first, K-harmonic means clustering method which is one of the most popular methods in clustering analysis is used for clustering suppliers. Then, according to theoutput of clustering, a multi-objective model is considered to select the best supplier. Since the model belongs to the class of NP-hard optimization problems, two meta-heuristic algorithms named Non-dominated Sorting Genetic Algorithm (NSGAII) and Non-dominated Ranked Genetic Algorithm (NRGA) is used for solving model in reasonable time. Computational results show that the clustering analysis can be considered as an effective way to the suppliers' selection. Also, several data sets are applied to evaluate the effect of clustering analysis on suppliers' selection
Payam Chiniforoshan; Behrouz Pourghannad; Rouzbeh Azizmohammadi; Seyed Hossein Razavi
Volume 6, Issue 16 , June 2007, , Pages 55-74
Abstract
Now days one of the main strategies and policies of firms is purchasing parts from external suppliers. For decision making about selecting suppliers, are considered the different criteria. But because of changes of management levels and external suppliers strategies, could not determine input data precisely. ...
Read More
Now days one of the main strategies and policies of firms is purchasing parts from external suppliers. For decision making about selecting suppliers, are considered the different criteria. But because of changes of management levels and external suppliers strategies, could not determine input data precisely. Hence, considering supplier selection problem with regard to the uncertain criteria is necessary. In this paper, a combinatorial model from the well-known method of Compromise Programming (CP) and Interval Programming will be proposed that is called Interval Compromise Programming (ICP). The model can be used for optimizing multi-objective interval problems. For illustrating the proposed model, will be presented a supplier selection problem by considering the objectives of minimizing rejects and purchase cost and maximizing quality of purchased products, where are considered the input parameters as interval numbers. The obtained results compared to the ideal value of each objective can present a representation from situation of optimistic and pessimistic of the problem under uncertainty.
