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

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.

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.

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 Implementation of Green Procurement in Supplier Selection of PT Kubota Indonesia with Fuzzy Analytical Network Process Approach (FANP)

2018 ◽  
Vol 73 ◽  
pp. 09021 ◽  
Author(s):  
Pujotomo Darminto ◽  
Rahcman Erpita ◽  
Budi Prasetiyo Utomo Trio
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Quality Criteria ◽  
Analytical Network Process ◽  
Green Procurement ◽  
Green Industry ◽  
Network Process ◽  
Criteria Weights ◽  
Timely Delivery ◽  
Selection Of

Industry globalization and consumer concern for environmental issues compel the industry to make adjustments to the green industry concept including green procurement activities such as supplier selection. One of the industries in the diesel engine exporting company, PT. Kubota Indonesia, must be able to meet market demands related to Green Industries. one of the Green Industry Concepts that teaches companies to broaden their perspectives on corporate environmental concerns is Green Procurement. This concept emphasizes companies to use suppliers who also have a concern for the environment. When conducting the supplier selection process PT. Kubota Indonesia only emphasizes on the criteria for quality, price and timely delivery. In addition, delays in orders received at the company make this company have to choose suppliers. The results of this study were to determine the criteria and sub-criteria weights used by PT. Kubota Indonesia selects suppliers according to the concept of Green Procurement, ranks and selects suppliers using Fuzzy Analytical Network Process (FANP). The most important criteria are quality criteria and the best supplier recommended is PT. Three Pamindo T

scholarly journals Evaluating Alternate Post-Mining Land-Uses: A Review

2015 ◽  
Vol 5 (1) ◽  
pp. 14 ◽  
Author(s):  
Charles Mborah ◽  
Kenneth J. Bansah ◽  
Mark K. Boateng
Keyword(s):  
Land Use ◽  
Selection Process ◽  
Land Uses ◽  
Land Resources ◽  
Ownership Type ◽  
Main Challenge ◽  
Literature Reviews ◽  
Ultimate Objective ◽  
Major Factors ◽  
Selection Of

<p>The ultimate objective of post-mine land-use and reclamation planning is to identify appropriate alternate land uses to which mined land could be put. This will ensure that land-use and morphology of the location will be capable of supporting either the prior land-use or pre-mining environment. The main challenge is usually, the choice of variables that must be considered in deciding a particular post-mining land-use. Literature reviews were conducted to identify the major factors needed to be considered in the selection of a post-mining land-use. This paper also looks at the most commonly practiced and accepted post-mining land-use techniques. Factors identified as important in the selection process include land resources (e.g. physical, biological and cultural characteristics), ownership, type of mining activity, legal requirements, location, needs of the community, economic, environmental, technical and social factors. In a broad categorization, all post-mining land-uses could be placed under one of the following land-use: agriculture, forestry, lake or pool, intensive recreational land-use, non-intensive recreational land-use, conservation and pit backfilling. However, the objective of any particular post-mining land use should be achieving economic and sustainable outcomes which meet human wants and needs, and protect life and the environment.</p>

scholarly journals The Use of Value Engineering in the Evaluation and Selection of Digitization Projects

2007 ◽  
Vol 2 (3) ◽  
pp. 76 ◽  
Author(s):  
Michael H. Boock ◽  
May Chau
Keyword(s):  
Quantitative Data ◽  
Selection Process ◽  
Decision Makers ◽  
Value Engineering ◽  
Performance Criteria ◽  
Digital Collections ◽  
Evaluation Of Performance ◽  
Process Output ◽  
Rating Criteria ◽  
Selection Of

Objective - The authors describe a simple and effective tool for selecting digitization projects from competing alternatives, providing decision makers with objective, quantitative data. Methods - The paper adopts the value engineering methodology for the selection, evaluation and ranking of digitization project proposals. Project selection steps are described. Selection criteria are developed. Digitization costs are presented as an equation. Project value is determined by calculating projected performance of digital collections based on the established criteria over cost. Results - Scenarios are presented that evaluate and rank projects based on an evaluation of performance criteria and cost. The communication and use of rating criteria provides selectors with information about how proposed collections are evaluated. The transparency of the process output is easily communicated to stakeholders. Conclusions - Value engineering methodology provides a tool and a process that gives decision makers a set of objective, quantitative data upon which selection of digitization projects is based. This approach simplifies the selection process, and creates transparency so that all stakeholders are able to see why a decision was made.

Building Engineering Supplier Selection Based on Fuzzy Group Decision Information Aggregation

2011 ◽  
Vol 214 ◽  
pp. 535-539
Author(s):  
Xiang Chen ◽  
Xue Feng Zhou ◽  
Yong Zhang
Keyword(s):  
Supplier Selection ◽  
Group Decision ◽  
Selection Process ◽  
Information Aggregation ◽  
Group Behavior ◽  
Engineering Project ◽  
Fuzzy Group ◽  
Representation Method ◽  
Building Engineering ◽  
Selection Of

Material is the precondition for the implementation of building engineering project. Material procurement cycle and quality directly related to the progress and quality of building project, which is the effective protection of successful completion. Owing to many factors of uncertainty of decision-making environment and fuzzy thinking of decision-makers, the selection of building engineering supplier represents as group behavior selection process in fuzzy environment. Based on analysis on fuzzy group decision methods, the information representation method in fuzzy condition was introduced to present a kind of fuzzy information aggregation method. Application example of supplier selection of some building company shows that the method can reflect preference of enterprise on fuzzy and adequately consider each schema with proximity, which is a more practical approach for supplier selection.

scholarly journals APPLICATION OF AHP FOR SUPPLIER SELECTION IN CONSTRUCTION COMPANIES

2020 ◽  
Vol 1 (6) ◽  
pp. 921-933
Author(s):  
Rosalendro Eddy Nugroho ◽  
Maria Sherly Iskandar
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Careful Analysis ◽  
Procurement Process ◽  
Construction Company ◽  
Construction Companies ◽  
Decision Alternative ◽  
The Many ◽  
Hierarchy Process ◽  
Selection Of

The procurement process is an important process in supply chain management as it is the spearhead of the entire process. In carrying out the procurement process, there are often problems with the supplier selection activities. This is because the supplier selection process spends a lot of time and resources collecting data and conducting careful analysis that will affect the entire decision alternative. In making decisions relating to the many criteria and the number of alternative suppliers, it requires an effective and uncomplex assessment technique, but it provides accurate results. A mapping and determination of supplier selection criteria is required as a basis for valuation to obtain a qualified supplier. This study focused on PT. XYZ is a construction company in South Tangerang. Analytical Hierarchy Process (AHP) is used to determine the best supplier, there are 4 variables that are reference in conducting the selection of suppliers, such as: cost, quality, delivery, and service. The result in the selection of the supplier company is cost with a weight of 0.268, quality with a weight of 0.290, delivery with a weighting of 0.248, and the service with a weight of 0.194 where conclusions obtained from the analysis of the selection of the best suppliers and in accordance with the criteria, namely PT. CBL for iron suppliers, PT.SAS for cement suppliers, and PT. Citra BSD for suppliers of natural materials

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.

scholarly journals Supplier Selection Of Upper Arm And Lower Arm Pantograph Jack Using AHP And TOPSIS Methods

2020 ◽  
Vol 9 (1) ◽  
pp. 1-10
Author(s):  
Hery Hamdi Azwir ◽  
Fuad Hasan ◽  
Hirawati Oemar
Keyword(s):  
Data Processing ◽  
Cost Reduction ◽  
Supplier Selection ◽  
Selection Process ◽  
Upper Arm ◽  
Expert Choice ◽  
Competitive Prices ◽  
Speed Up ◽  
Selection Of

Cost reduction and multi sourcing program is one of the ways used by companies to survive in business competition. Supplier selection process conducted by PT. MTM aims to get suppliers capable of supplying the needs in a sustainable manner with quality products and competitive prices. The company needs a method to select suppliers that can supply upper arm and lower arm components for pantograph jack products. The research is done through analyzing supplier selection process by PT. MTM, examines the criteria used, and then implements the AHP and TOPSIS methods in the process to gain alternative supplier priorities and reduced purchase costs. To speed up data processing, this study utilizes Expert Choice 11 software. The result of analysis using AHP and TOPSIS is two suppliers will supply the components in PT. MTM.Keywords: AHP, multi sourcing, cost reduction, panthograph jack, supplier, TOPSIS

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