scholarly journals A Novel Two-Stage Integrated Model for Supplier Selection of Green Fresh Product

2018 ◽  
Vol 10 (7) ◽  
pp. 2371 ◽  
Author(s):  
Aijun Liu ◽  
Yaxuan Xiao ◽  
Xiaohui Ji ◽  
Kai Wang ◽  
Sang-Bing Tsai ◽  
...  
Keyword(s):  
Supplier Selection ◽  
Integrated Model ◽  
Two Stage ◽  
Selection Of

scholarly journals Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method

2019 ◽  
Vol 16 (24) ◽  
pp. 5082 ◽  
Author(s):  
Guiwu Wei ◽  
Cun Wei ◽  
Jiang Wu ◽  
Hongjun Wang
Keyword(s):  
Comparative Studies ◽  
Supplier Selection ◽  
Integrated Model ◽  
Selection Problems ◽  
Criteria Importance ◽  
Selection Of

In order to obtain an optimal medical consumption product supplier, the integration of combined weights and multi-attributive border approximation area comparison (MABAC) under probabilistic linguistic sets (PLTSs) has offered a novel integrated model in which the CRiteria Importance Through Intercriteria Correlation (CRITIC) method is employed for calculating the objective weights of various attributes and the MABAC method with PLTSs is used to acquire the final ranking result of a medical consumption product supplier. Additionally, so as to indicate the applicability of the devised method, this model is confirmed by a numerical case for the supplier selection of medical consumption products. Some comparative studies are made with some existing methods. The proposed method can also successfully select suitable alternatives in other selection problems.

Integrated FAHP-VIKOR model for green supplier selection in a Nickle coating SME

2020 ◽  
pp. 133-139
Author(s):  
Sanatan Ratna ◽  
B Kumar
Keyword(s):  
Staff Training ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Research Work ◽  
Supplier Evaluation ◽  
Green Supplier Selection ◽  
The Past ◽  
Coating Industry ◽  
Sustainability Issue ◽  
Selection Of

In the past few decades, there has been lot of focus on the issue of sustainability. This has occurred due to the growing concerns related to climate change and the growing awareness about environmental concerns. Also, the competition at global level has led to the search for the most sustainable route in the industries. The current research work deals with the selection of green supplier in a Nickle coating industry based on certain weighted green attributes. For this purpose, a hybrid tool comprising of Fuzzy AHP (Fuzzy Analytical Hierarchy) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) is used. The Fuzzy AHP is used for assigning proper weights to the selected criteria for supplier evaluation, while VIKOR is used for final supplier selection based on the weighted criteria. The three criterions for green supplier selection are, Ecological packaging, Corporate socio-environmental responsibility and Staff Training. The outcome of the integrated model may serve as a steppingstone to other SMEs in different sectors for selecting the most suitable supplier for addressing the sustainability issue.

Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

scholarly journals Supplier selection using different metric functions

2015 ◽  
Vol 25 (3) ◽  
pp. 413-423 ◽  
Author(s):  
S.E. Omosigho ◽  
Dickson Omorogbe
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Metric Functions ◽  
Metric Function ◽  
Topsis Technique ◽  
Intuitionistic Fuzzy Topsis ◽  
Selection Of

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

scholarly journals Research on Electronic Image Stabilization Technology of Vehicle-Mounted Remote-Controlled Weapon Station

2021 ◽  
Vol 2083 (3) ◽  
pp. 032061
Author(s):  
Shumin Qin ◽  
Lizhen Zhao ◽  
Xingke Tian ◽  
Lidan Li ◽  
Shuyun Liu
Keyword(s):  
System Design ◽  
Robust Stability ◽  
Sensor Data ◽  
Two Stage ◽  
Image Stabilization ◽  
Image Information ◽  
Gyro Sensor ◽  
Image Compensation ◽  
Stable Scheme ◽  
Selection Of

Abstract The image information of the vehicle-mounted remote-controlled weapon station is jittered and blurred when the stance changes or vibrates, which increases the aiming difficulty and observation fatigue of the shooter, in order to realize the stable marching fire of the vehicle-mounted remote-controlled weapon station, the two-stage stable scheme with the shared gyro sensor is adopted in the system design, namely, the aiming device is rigidly fixed on the initially stable weapon platform, and then the electronic image stabilization is carried out. This paper proposes an approach combining two image stabilization schemes: gyro sensor data and image projection registration, optimizes the selection of image compensation data by registering and comparing the results of the two stable data, and uses the special features of the two schemes to improve the robust stability of electronic image stabilization, which ensure the observation effect of video image stabilization of the vehicle-mounted remote-controlled weapon station.

scholarly journals Selection of Fish Raw Material Suppliers by Integrating ANP and Topsis Methods in CV. Riki Utama Mandiri

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Aula Fajar Iman Sakti ◽  
Wiwik Sulistiyowati
Keyword(s):  
Supplier Selection ◽  
Raw Materials ◽  
Rank Order ◽  
Raw Material ◽  
Network Process ◽  
The Common ◽  
Common Problems ◽  
Frozen Fish ◽  
A Company ◽  
Selection Of

CV. Riki Utama Mandiri is a company in distributing an economic fish frozen product. This company distributed any kind of retail and wholesaler, both domestic and export. They distributing many frozen fish products variant such as Patin Fillet and Shark Fin. The all raw materials of those frozen seafood was obtained by three different suppliers. The common problems found in CV. Riki Utama Mandiri mostly about raw patin fish supplier which often committed delivery delays.  The purpose of this research is to fixing the supply chain management in deciding the more accurate selections of raw materials supplier. To overcome the common problems that happen. Analytical network process (ANP) will simplify the criteria weight values and sub criteria of each supplier. Meanwhile, technique for others reference by similarity to ideal solution (TOPSIS) method is used for giving a rank order of the alternative supplier. This research is expected for being a consideration for the company in obtaining a good and more effective kind of raw supplier. We also expecting the company for tighten supplier selection more effective way so that it can fullfilled the existing standard. Also to overcome the common problems such as delivery delays, competing raw materials with uncertain quality, and difficulty in sort out the raw materials due to size issues.

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