scholarly journals GDSS Prototype Model for Supplier Selection at MDM Cooperative

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Meri Azmi ◽  
Yance Sonatha ◽  
Indri Rahmayuni
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Poor Quality ◽  
Decision Makers ◽  
Prototype Model ◽  
Business Unit ◽  
University Campus ◽  
Late Delivery ◽  
The Right ◽  
Selection Of

MDM is a trade cooperative that has a business unit that provides healthy food for consumers around the Andalas University campus. So far, the selection of suppliers who supply goods to stores is only based on the trust of both parties, the principles of mutual acquaintance and kinship. The problems that arise from a process like this are the lack of the right supplier so that goods are not available all the time, relatively higher prices, late delivery and sometimes there are goods with poor quality. Therefore we need a GDSS that is able to overcome these problems. This GDSS helps decision making in determining the right supplier to the stores owned by MDM Cooperative. The methods used are AHP, TOPSIS and BORDA involving six criteria and five tested alternatives. This GDSS also involves three decision makers, namely the head of the cooperative, the deputy and the treasurer. The results of this prototype are able to show the best alternative that is selected based on the ranking results.

A Multi-Criteria Intuitionistic Fuzzy Group Decision Making Method for Supplier Selection with VIKOR Method

2012 ◽  
pp. 967-983
Author(s):  
Razieh Roostaee ◽  
Mohammad Izadikhah ◽  
Farhad Hosseinzadeh Lotfi ◽  
Mohsen Rostamy-Malkhalifeh
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Decision Makers ◽  
Uncertain Information ◽  
Vikor Method ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
The Right

Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain, and is typically a multi-criteria group decision problem. In many practical situations, there usually exists incomplete and uncertain information, and the decision makers cannot easily express their judgments on the candidates with exact and crisp values. Therefore, in this paper an extended VIKOR method for group decision making with intuitionistic fuzzy numbers is proposed to solve the supplier selection problem under incomplete and uncertain information environment. In other researches in this area, the weights of each decision makers and in many of them the weights of criteria are pre-determined, but these weights have been calculated in this paper by using the decision matrix of each decision maker. Also, normalized Hamming distance is proposed to calculate the distance between intuitionistic fuzzy numbers. Finally, a numerical example for supplier selection is given to clarify the main results developed in this paper.

scholarly journals Penggunaan Metode Weighted Product Untuk Seleksi Mahasiswa Penerima Beasiswa

2020 ◽  
pp. 176-180
Author(s):  
Muhammad Isa Daud ◽  
Mufty Mufty
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Assessment Process ◽  
Wrong Decision ◽  
Scholarship Recipients ◽  
The Government ◽  
The Right ◽  
Tuition Fee ◽  
Selection Of

Making the right decision is very important in a management, wrong decision making can be fatal for both companies and individuals Through the Education Office the government seeks to allocate funds to provide scholarships to students who are economically unable to finance their education and provide scholarships to students who have achievements. In order for the implementation of scholarships to be achieved, it must be in accordance with the principle of 3T, namely On target, Right amount and On time. The provision of tuition fee assistance in the form of scholarships is also given to students in universities. Scholarships are given to students who excel and are underprivileged. The selection of scholarship recipients so far is not maximal because of the assessment that seems to favor one student so that students who really deserve it become unable to get. In this research using Weighted Products method to conduct the assessment process and the process implemented into a system, it is expected that with the system of decision-makers can choose students who really deserve. The results showed that Mahasiswa 4 was selected as a scholarship student with a score of 0.237

A Multi-Criteria Intuitionistic Fuzzy Group Decision Making Method for Supplier Selection with VIKOR Method

2012 ◽  
Vol 2 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Razieh Roostaee ◽  
Mohammad Izadikhah ◽  
Farhad Hosseinzadeh Lotfi ◽  
Mohsen Rostamy-Malkhalifeh
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Decision Makers ◽  
Uncertain Information ◽  
Vikor Method ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
The Right

Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain, and is typically a multi-criteria group decision problem. In many practical situations, there usually exists incomplete and uncertain information, and the decision makers cannot easily express their judgments on the candidates with exact and crisp values. Therefore, in this paper an extended VIKOR method for group decision making with intuitionistic fuzzy numbers is proposed to solve the supplier selection problem under incomplete and uncertain information environment. In other researches in this area, the weights of each decision makers and in many of them the weights of criteria are pre-determined, but these weights have been calculated in this paper by using the decision matrix of each decision maker. Also, normalized Hamming distance is proposed to calculate the distance between intuitionistic fuzzy numbers. Finally, a numerical example for supplier selection is given to clarify the main results developed in this paper.

scholarly journals PERANCANGAN MODEL PEMILIHAN SUPPLIER PRODUK CETAKAN DENGAN MENGGUNAKAN GREY BASED TOPSIS (STUDI KASUS: RUMAH SAKIT ISLAM SULTAN AGUNG SEMARANG)

2018 ◽  
Vol 13 (2) ◽  
pp. 99
Author(s):  
Darminto Pujotomo ◽  
Maulana Arif Umaindra ◽  
Purnawan Adi Wicaksono
Keyword(s):  
Decision Maker ◽  
Supplier Selection ◽  
Evaluation Criteria ◽  
Hospital Performance ◽  
Poor Quality ◽  
Work Process ◽  
Itu Model ◽  
The Right ◽  
Selection Of

Abstrak Pemilihan supplier merupakan aktivitas penting dari perusahaan dalam menentukan strategi yang tepat, khususnya pada bagian pengadaan. Rumah Sakit Islam Sultan Agung Semarang (RSIS) merupakan salah satu rumah sakit yang mempunyai masalah dalam melakukan pemilihan supplier produk cetakan. Masalah yang dihadapi yaitu keterlambatan barang, kesalahan mencetak produk, tidak sesuainya kuantitas barang pesan dan kualitas yang buruk yang dikirim oleh beberapa supplier, itu mengakibatkan penurunan kinerja rumah sakit, karena proses kerja akan terganggu. Harga merupakan kriteria utama yang digunakan RSIS dalam memilih supplier produk cetakan. Produk cetakan digunakan untuk menjalankan proses kerja setiap hari di rumah sakit. Tujuan dari penelitian ini adalah untuk merancang model pemilihan dan pengevaluasi supplier multi attribute dengan menggunakan metode Grey (Pemilihan) based TOPSIS (Evaluasi). Kriteria didapatkan berdasarkan wawancara dan studi literatur oleh peneliti dengan para decision maker bagian pengadaan. Terdapat tiga kriteria pemilihan supplier di RSIS dengan menggunakan metode Grey based TOPSIS, yaitu cost, quality dan service. Hasil penelitian mendapatkan supplier terbaik berdasarkan pemilihan para decision maker dengan, urutan supplier terbaik sampai terburuk yaitu supplier D dengan nilai kriteria yang paling baik, kemudian supplier E, A, C hingga supplier terburuk yaitu supplier B. Berdasarkan hasil tersebut dan wawancara didapatkan kemiripan dengan kondisi nyata dari supplier, oleh karena itu model yang dibuat dapat digunakan untuk memilih dan mengevaluasi supplier cetakan di RSIS. AbstractDESIGN OF SUPPLIER MOLD PRODUCTS SELECTION MODEL USING GREY BASED TOPSIS (CASE STUDY: RUMAH SAKIT SULTAN AGUNG SEMARANG). Supplier selection is an important activity of the company in determining the right strategy, especially on the part of procurement. Rumah Sakit Islam Sultan Agung Semarang (RSIS) is one of the hospitals that has problems in choosing a supplier of mold products. Problems encountered are product delays, product print errors, inappropriate quantity of message items and poor quality delivered by some suppliers, resulting in a decrease in hospital performance, as the work process will be disrupted. Price is the main criteria used by RSIS in choosing a supplier of printed products. Mold products are used to run the work process every day at the hospital. The purpose of this research is to design the model of selecting and evaluating the supplier of multi attribute by using the Grey method (Selection) based on TOPSIS (Evaluation). Criteria obtained based on interviews and literature studies by researchers with the decision maker procurement department. There are three criteria of supplier selection in RSIS by using Grey based TOPSIS method, that is cost, quality and service. The result of this research is finding the best supplier based on the selection of the decision maker with the best supplier to the worst that is supplier D with the best criterion value, then supplier E, A, C to the worst supplier that is supplier B. Based on the result and the interview got similarity with the condition real from the supplier, therefore the model can be used to select and evaluate the mold supplier in RSIS.Keywords: Supplier selection; RSIS; Grey; TOPSIS; Mold products

MCDM Tools Application for Selection of Suppliers in Manufacturing Industries Using AHP, Fuzzy Logic and ANN

2015 ◽  
Vol 19 ◽  
pp. 130-137 ◽  
Author(s):  
S. Nallusamy ◽  
D. Sri Lakshmana Kumar ◽  
K. Balakannan ◽  
P.S. Chakraborty
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Supplier Selection ◽  
Manufacturing Industry ◽  
Analytic Network Process ◽  
Multi Criteria Decision Making ◽  
Network Process ◽  
Artificial Neural Network Ann ◽  
The Right ◽  
Selection Of

In manufacturing industry selection of right supplier (s) is one of the challenging activities. Supplier selection is the method of determining the appropriate suppliers to provide the right quality of products, at the right quantities, at the right price in the right time. During the last ten years based on the changes in the business sector, Multi-Criteria Decision Making (MCDM) has been one of the fastest growing areas. By choosing the best supplier, the companies can increase their productivity and also competitive advantage. In the earlier period, several methods have been proposed to solve the supplier selection problem, such as the linear weighting methods, the analytic network process, total cost approaches and mathematical programming techniques. Although the linear programming methods are simple, they are not accurate and more variations exist. So the latest multi-criteria decision making tools such as Analytical Hierarchy Process (AHP), Fuzzy Logic (FL) and Artificial Neural Network (ANN) are deeply studied. While selecting the best supplier, many criteria are involved. The criteria may be different for different approach. The decision makers always express their preferences on alternatives or on the attributes of supplier which can be used to help rank the supplier and choose the enviable one. In this article, application of fuzzy logic and AHP are discussed with case-studies and also presented the discussion about implementation of ANN for supplier selection.

scholarly journals Flexible Supplier Selection of WASPAS based on Hesitant Cloud Language

2021 ◽  
Vol 3 (5) ◽  
pp. 144-156
Author(s):  
Jia Jia ◽  
Liyun Wu
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Cloud Model ◽  
Scientific Basis ◽  
Decision Makers ◽  
Decision Quality ◽  
Fuzzy Language ◽  
Important Position ◽  
Selection Of

To ensure the continuity and stability of the supply chain under the sudden crisis, flexible supplier selection has taken up an important position in the operation decision of enterprises. Considering the differences of different expert decision-making and decision-making results that contain fuzziness, randomness and hesitation, the flexible supplier selection was studied by using the method of combining hesitant fuzzy language with normal cloud model and hesitant cloud linguistic term set was established. The weights were calculated according to the decision quality and aggregated with the evaluation results. Finally, WASPAS was used for scheme sorting to select the best supplier. The validity and applicability of the model were verified by a case study, which provided a scientific basis for enterprise decision makers to avoid interruption risk.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

CPT-MABAC method for spherical fuzzy multiple attribute group decision making and its application to green supplier selection

2021 ◽  
pp. 1-11
Author(s):  
Huiyuan Zhang ◽  
Guiwu Wei ◽  
Xudong Chen
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Comparison Method ◽  
Entropy Method ◽  
Decision Makers ◽  
Green Supplier Selection ◽  
Multiple Attribute ◽  
Psychological Perceptions

The green supplier selection is one of the popular multiple attribute group decision making (MAGDM) problems. The spherical fuzzy sets (SFSs) can fully express the complexity and fuzziness of evaluation information for green supplier selection. Furthermore, the classic MABAC (multi-attributive border approximation area comparison) method based on the cumulative prospect theory (CPT-MABAC) is designed, which is an optional method in reflecting the psychological perceptions of decision makers (DMs). Therefore, in this article, we propose a spherical fuzzy CPT-MABAC (SF-CPT-MABAC) method for MAGDM issues. Meanwhile, considering the different preferences of DMs to attribute sets, we obtain the objective weights of attributes through entropy method. Focusing on the current popular problems, this paper applies the proposed method for green supplier selection and proves for green supplier selection based on SF-CPT-MABAC method. Finally, by comparing existing methods, the effectiveness of the proposed method is certified.

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.

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