scholarly journals Supplier Selection and Performance Evaluation for High-Voltage Power Film Capacitors in a Fuzzy Environment

2019 ◽  
Vol 9 (23) ◽  
pp. 5253 ◽  
Author(s):  
Chun-Ming Yang ◽  
Kuen-Suan Chen ◽  
Ting-Hsin Hsu ◽  
Chang-Hsien Hsu
Keyword(s):  
High Voltage ◽  
Supplier Selection ◽  
Selection Process ◽  
High Reliability ◽  
Decision Makers ◽  
Electrical Performance ◽  
Cognitive Differences ◽  
Inference System ◽  
Supplier Performance

Rapid advances in technology have shortened the upgrade and replacement cycles in industries such as electronics, household appliances, and communication technologies. Within these industries, high-voltage power film capacitors have become indispensable electrical components due to their good electrical performance and high reliability. The selection and evaluation of suppliers of these capacitors is therefore increasingly important. Suppliers play a crucial role in the electronics industry; the quality of their products determines the degree to which the quality of the final product can be guaranteed. Supplier quality also affects the ability of all the members in a supply chain to control costs. Evaluation by decision-makers is highly significant in the supplier selection process. However, when the opinions of multiple decision-makers are combined, issues such as cognitive differences, fuzzy linguistics, and uncertainty are common. This study presents a supplier performance index SPL and derives the estimates of the index SPL and its statistical properties. The proposed index is not only helpful for the accurate measurement of supplier performance; it can also reduce cognitive differences among evaluators in the decision-making process (that is, the sample variability associated with the Likert scale). Evaluation scores for each criterion for the linguistic labels are converted to triangular fuzzy numbers in order to reduce ambiguity. Subsequently, integrated crisp values are obtained by defuzzification in a fuzzy inference system. A real-world case study of the supplier selection of high-voltage power film capacitors is provided to illustrate the efficacy of the proposed method.

A Multicriteria Multilevel Group Decision Method for Supplier Selection and Order Allocation

2012 ◽  
Vol 3 (1) ◽  
pp. 81-105 ◽  
Author(s):  
Mariya A. Sodenkamp ◽  
Leena Suhl
Keyword(s):  
Supplier Selection ◽  
Group Decision ◽  
Selection Process ◽  
Large Body ◽  
Decision Makers ◽  
Order Allocation ◽  
Decision Factors ◽  
Selection Decisions ◽  
Allocation Decisions

Supplier selection is an integral part of supply chain management (SCM). It plays a prominent role in the purchasing activity of manufacturing and trading companies. Evaluation of vendors and procurement planning requires simultaneous consideration of tangible and intangible decision factors, some of which may conflict. A large body of analytical and intuitive methods has been proposed to trade off conflicting aspects of realism and optimize the selection process. In the large companies the fields of decision makers’ (DMs) expertise are highly distributed and DMs’ authorities are unequal. On the other hand, the decision components and their interactions are very complex. These facts restrict the effectiveness of using the existing methods in practice. The authors present a multicriteria decision analysis (MCDA) method which facilitates making supplier selection decisions by the distributed groups of experts and improves quality of the order allocation decisions. A numerical example is presented and applicability of the proposed algorithm is demonstrated in the Raiffeisen Westfalen Mitte, eG in Germany.

scholarly journals SUPPLIER SELECTION PROCESS IN DAIRY INDUSTRY USING FUZZY-TOPSIS METHOD

2021 ◽  
Vol 4 (1) ◽  
pp. 82-98
Author(s):  
Tarik Cakar ◽  
◽  
Burcu Çavuş ◽  
Keyword(s):  
Supplier Selection ◽  
Selection Criteria ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Fuzzy Environment ◽  
Quality Of Products ◽  
Topsis Technique ◽  
The Right

Supplier selection is one of the most critical processes within the purchasing function. Choosing the right supplier makes a strategic difference to an organization’s ability to reduce costs and improve the quality of products by helping to select the most suitable supplier. Sütaş Dairy Company, which is entered to Macedonia market in 2012. In the dairy company, there is only one purchasing manager who selects the farmers. Importance weights of criteria are determined using his reference, and also the alternatives are evaluated according to each criterion. The most important criteria are product and other costs, the price is also playing an important role, but due to the small marketplace of Macedonia, the prices are almost the same in every region. To select the dairy supplier in Macedonia, Fuzzy-TOPSIS technique is used. The main goal of using fuzzy logic in this study is to help decision-makers for identifying the importance of selection criteria and rank possible suppliers easily. Since the supplier selection process is a Multi-Criteria Decision Making (MCDM) problem, after identify the weights and rankings in a fuzzy environment, TOPSIS algorithm has been used in the rest of the problem. Finally, fuzzy TOPSIS methodology has been implemented successfully, and its result pointed out the most suitable suppliers.

scholarly journals A Review of Quality Criteria Supporting Supplier Selection

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Mohammad Abdolshah
Keyword(s):  
Supplier Selection ◽  
Quality Evaluation ◽  
Selection Process ◽  
Quality Criteria ◽  
Loss Functions ◽  
Decision Criteria ◽  
Academic Literature ◽  
Extensive Search ◽  
Novel Method

This paper presents a review of decision criteria reported in the literature for supporting the supplier selection process. The review is based on an extensive search in the academic literature. After a literature review of decision criteria, we discuss the most important criteria: quality. Then different methods and factors for assessing the quality of supplier are discussed. Results showed that all methods and factors mentioned in this paper are not appropriate tools for quality evaluation. Moreover, we propose a novel method (using loss functions) in order to assess the quality of suppliers.

An Application of the Integrated IBA-TOPSIS Model in Supplier Selection

2015 ◽  
Vol 7 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Ksenija Mandić ◽  
Boris Delibašić ◽  
Dragan Radojević
Keyword(s):  
Decision Making ◽  
Boolean Algebra ◽  
Supplier Selection ◽  
Selection Process ◽  
Real Life ◽  
Decision Makers ◽  
Proposed Model ◽  
Qualitative Variables ◽  
Hidden Knowledge ◽  
Multi Attribute Decision Making

The supplier selection process attracted a lot of attention in the business management literature. This process takes into consideration several quantitative and qualitative variables and is usually modeled as a multi-attribute decision making (MADM) problem. A recognized shortcoming in the literature of classical MADM methods is that they don't permit the identification of interdependencies among attributes. Therefore, the aim of this study is to propose a model for selecting suppliers of telecommunications equipment that includes the interaction between attributes. This interaction can model the hidden knowledge needed for efficient decision-making. To model interdependencies among attributes the authors use a recently proposed consistent fuzzy logic, i.e. interpolative Boolean algebra (IBA). For alternatives ranking they use the classical MADM method TOPSIS. The proposed model was evaluated on a real-life application. The conclusion is that decision makers were able to integrate their reasoning into the MADM model using interpolative Boolean algebra.

scholarly journals SISTEM PENDUKIUNG KEPUTUSAN PADA SISTEM SELEKSI PENERIMAAN GURU MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING

Kilat ◽  
2018 ◽  
Vol 7 (2) ◽  
pp. 132-138
Author(s):  
Nurjaya Nurjaya ◽  
Maulana Ardhiansyah ◽  
Rezki Suryana
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Educational Programs ◽  
Decision Makers ◽  
Decision Making Process ◽  
Simple Additive Weighting ◽  
Important Position

Teacher is an important element in the support system, therefore function and position of teachers in improving the quality of learners need to be considered seriously. Basically, teachers are professionals in the field of education that has the task of teaching, educating, and guiding students to become a man is impersonal. Thus, teachers have an important position and responsibilities of a very great deal in the success or failure of educational programs. In order to facilitate the selection process for the teachers, the school can use the Decision Support System Decision Support System that is used as a tool for decision makers to expand the capabilities of the decision makers, but not to replace the judgment of the decision makers. The method used is the Simple Additive weighting, Simple Additive Weighting (SAW) suitable for decision-making process because it can determine the weight values ​​for each attribute, followed by indexing process that will select the best alternative from a number of the best alternative. It can be concluded from this study that the SAW method is very relevant to solve the problem of decision makers.

scholarly journals A Decision Support Tool for Supplier Evaluation and Selection

2021 ◽  
Vol 13 (22) ◽  
pp. 12387
Author(s):  
Ana Paula Lopes ◽  
Nuria Rodriguez-Lopez
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Decision Support Tool ◽  
Poor Quality ◽  
Preference Ranking ◽  
Supplier Evaluation ◽  
Support Tool ◽  
Strong Point

The supplier selection process is considered one of the most relevant decisions in supply chain management due to its effect on the product quality and on buyer performance. Supplier selection is often unstructured, and is generally based on the lowest-price proposal. However, this type of selection involves a high risk, sometimes resulting in project delays, poor quality of acquired goods, and large financial losses. Price is undoubtedly an important criterion when choosing a supplier; however, other equally important criteria must be considered. Therefore, supplier selection should be formulated as a multi-criteria decision-making (MCDM) problem. This study uses the PROMETHEE-GAIA (Preference Ranking Organization Method for Enrichment of Evaluations—Geometrical Analysis for Interactive Assistance) method to classify and select suppliers in an agrifood company. One of the advantages of this method is that it allows decision-makers to set their preferences considering all the relevant criteria simultaneously, and their relative importance. The case study demonstrates that PROMETHEE constitutes a flexible MCDM tool for supplier evaluation and selection, rank the different alternatives, and provide valuable insights. The results show that the supplier selection process has a strong point related to the existence of two groups of suppliers, one focused on economic criteria and other related to the innovative capacity. However, a flaw emerges, as little relevance is associated to the environmental criterion.

Design of Supplier Selection Procedure in Garment Company

2014 ◽  
Vol 606 ◽  
pp. 241-245
Author(s):  
Reni Amaranti ◽  
Agus N. Supena ◽  
Agelin S. Ramadhani
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Business Processes ◽  
Raw Materials ◽  
Selection Process ◽  
Selection Procedure ◽  
Purchasing Department ◽  
Quality Of Products ◽  
Hierarchy Process

The purchase of raw materials is very influential for the quality of products produced in addition to the process of making the product itself. Therefore, how to choose the supplier from the available alternatives is something that must be done properly in the process of procurement of raw materials especially for companies with many product variations and associated with many suppliers. This paper discusses about how to make supplier selection procedure for garment company with a case on a medium scale garment company in Bandung that manufactures veil and Moslem fashion. Mapping of business processes using IDEF0 was the first step in designing of supplier selection procedure. Then performed an analysis of the process which is usually done to identify the weaknesses and strengths of the process. The next step is create a design of supplier selection procedure that is more structured and measurable. In addition, also designed a tool that can be used in the supplier selection process, which is a simple application to determine the ranking of suppliers who will be selected based on the criteria specified. The application is based on the decision-making process with The Analytical Hierarchy Process approach that has been commonly used as a tool for decision-making with many alternative choices. In general, the resulting procedure would be beneficial for the company as a guide for those involved in the procurement process at the purchasing department, primarily for decision making in supplier selection.

scholarly journals Sustainable Supplier Selection Process in Edible Oil Production by a Hybrid Fuzzy Analytical Hierarchy Process and Green Data Envelopment Analysis for the SMEs Food Processing Industry

Mathematics ◽  
2018 ◽  
Vol 6 (12) ◽  
pp. 302 ◽  
Author(s):  
Chia-Nan Wang ◽  
Van Thanh Nguyen ◽  
Hoang Tuyet Nhi Thai ◽  
Ngoc Nguyen Tran ◽  
Thi Lan Anh Tran
Keyword(s):  
Food Processing ◽  
Supplier Selection ◽  
Selection Process ◽  
Oil Production ◽  
Edible Oil ◽  
Decision Makers ◽  
Data Envelopment ◽  
Food Processing Industry ◽  
Processing Industry ◽  
Hierarchy Process

Today, business organizations are facing increasing pressure from a variety of sources to operate using sustainable processes. Thus, most companies need to focus on their supply chains to enhance sustainability to meet customer demands and comply with environmental legislation. To achieve these goals, companies must focus on criteria that include CO2 (carbon footprint) and toxic emissions, energy use and efficiency, wastage generations, and worker health and safety. As in other industries, the food processing industry requires large inputs of resources, which results in several negative environmental effects; thus, decision-makers have to evaluate qualitative and quantitative factors. This work identifies the best supplier for edible oil production in the small and medium enterprise (SME) food processing industry in Vietnam. This study also processes a hybrid multicriteria decision-making (MCDM) model using a fuzzy analytical hierarchy process (FAHP) and green data envelopment analysis (GDEA) model to identify the weight of all criteria of a supplier’s selection process based on opinions from company procurement experts. Subsequently, GDEA is applied to rank all potential supplier lists. The primary objective of this work is to present a novel approach which integrates FAHP and DEA for supplier selection and also consider the green issue in edible oil production in uncertain environments. The aim of this research is also to provide a useful guideline for supplier selection based on qualitative and quantitative factors to improve the efficiency of supplier selection in the food industry and other industries. The results reveal that Decision-Making Unit 1 (DMU 1), DMU 3, DMU 7, and DMU 9 are identified as extremely efficient for five DEA models, which are the optimal suppliers for edible oil production. The contributions of this research include a proposed MCDM model using a hybrid FAHP and GDEA model for supplier selection in the SME food processing industry under a fuzzy environment conditions in Vietnam. This research also is part of an evolution of a new hybrid model that is flexible and practical for decision-makers. In addition, the research also provides a useful guideline in supplier selection in the food processing industry and a guideline for supplier selection in other industries.

scholarly journals Different Factors and Techniques for Supplier Evaluation and Selection in Automotive Industry of Punjab

2019 ◽  
Vol 8 (12) ◽  
pp. 1338-1345
Keyword(s):  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Point Of View ◽  
Critical Conditions ◽  
Supplier Evaluation ◽  
Common Criteria ◽  
Purchasing Department ◽  
A Company

In an automobile industry, to operate effectively the supply chain management, it is very important to perform the purchasing function effectively. It is the responsibility of the purchasing department in a company to choose the correct suppliers to purchase the required products. Thus, from purchase manager’s point of view, supplier evaluation technique is essential to choose the best supplier among the available suppliers. The literature addresses quality, delivery, technology, value and service are the five most common criteria used for supplier quality evaluation. In this article, approach of evaluation and selection of supplier has been presented as per the standards. Apart from these, the most important criteria to assess the quality of suppliers is based on a review of the literature and observation in practice. This in turn would help these organizations to review regularly and implement effective quality systems by following the set of standards. Also, nowadays most of the automobile companies have developed in-house pattern of procedures and software for the process of effective supplier selection. In the analysis, part per million equivalent technique is used to help the purchasing organization take a prompt and correct decision related to supplier selection process and evaluation in critical conditions

Optimal strategy for supplier selection in a global supply chain using machine learning technique

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Decision Makers ◽  
Optimization Strategy ◽  
Framework Analysis ◽  
Logistics Regression ◽  
Literature Reviews ◽  
Learning Technique ◽  
Logistic Regression Algorithm ◽  
Selection Of

This paper proposes an optimization strategy for the best selection process of suppliers. Based on recent literature reviews, the paper assumes a selection of commonly used variables for selecting suppliers, and using Logistic regression algorithm technique, to build a model of optimization that learns from customer’s requirements and supplier’s data, and then make predictions and recommendations for best suppliers. The supplier selection process can quickly at times, turn into a complex task for decision-makers, to dealing with the growing number of supplier base list. But Logistics regression technique makes the process easier in the ability to efficiently fetch customer’s requirements with the entire supplier base list and determine by predicting a list of potential suppliers meeting the actual requirements. The selected suppliers make up the recommendation list for the best suppliers for the requirements. And finally, graphical representations are given to showcase the framework analysis, variable selection, and other illustrations about the model analysis

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