Proper Supplier Research Articles

Supplier Selection and Evaluation: A Case Study in an Apparel Manufacturing Organization

The supply chain is incomplete without a supplier. A manufacturer is completely reliant on its suppliers, and it is critical for an apparel manufacturing company to choose the proper ones in order to maintain uninterrupted operations. The impacts of traditional supplier selection have been demonstrated in this research. In addition, the best provider was chosen using a proposed supplier selection and evaluation approach. However, four supplier selection and assessment procedures have been used to determine the study's outcome. In addition, the dimensional analysis approach, the cost ratio analysis method, and the weighted point method were used to choose the trim supplier. Benefits increased by 16 percent after making orders with the proper supplier, according to this report. The main finding of this study is that 94 percent of materials are received on time from the best selected source, compared to 50 percent in the past when using the traditional method.

A comparative analysis of Multi-Attributive Border Approximation Area Comparison (MABAC) model for healthcare supplier selection in fuzzy environments

Access to high-quality and affordable healthcare services is necessary for people worldwide. Achieving this goal requires healthcare providers to procure the best available equipment and pharmaceutical items at the lowest possible cost. Hence, proper supplier selection is crucial for all healthcare organizations to ensure the availability of the right products in the right quantity at the right time and minimum cost. This paper employs a multi-criteria decision making (MCDM) tool, i.e., Multi-Attributive Border Approximation Area Comparison (MABAC), in seven different fuzzy environments to solve a healthcare supplier selection problem. Fuzzy MABAC, intuitionistic fuzzy MABAC, Pythagorean fuzzy MABAC, neutrosophic fuzzy MABAC, hesitant fuzzy MABAC, spherical fuzzy MABAC, and Fermatean fuzzy MABAC are considered here to search for the most appropriate healthcare supplier while simultaneously optimizing conflicting criteria. We show that all the fuzzy-integrated MABAC methods lead to the same set of the best and worst healthcare suppliers regardless of the fuzzy environment employed. Furthermore, these fuzzy MABAC methods can efficiently deal with varying decision makers’ judgments and uncertainty associated with qualitative criteria, such as quality, responsiveness, reliability, etc., that form a major component of any healthcare supplier selection problem

EVALUACIÓN, SELECCIÓN Y DESARROLLO DE PROVEEDORES APLICANDO UN PROCESO DE CALIDAD CONTINUO PARA LA MEJORA DE LA CADENA DE SUMINISTROS – CASO DE ESTUDIO: COMPAÑÍA CAJAPLAX

ABSTRACT Under the current economic conditions where a more and more dynamic market prevails, and the customers´ demands increase exponentially, it is utterly important to assure the Supply Chain links effectiveness, therefore in present times, selecting and evaluating the correct suppliers has become significantly important. The addressed dilemma has been located at Cajaplax, a 100% Mexican company specialized in plastics, the aforementioned enterprise did not have an efficient and effective process for the proper suppliers ‘selection, evaluation and development, its methodology was quite austere and limited. The reasons and motivations that lead to make this case study are three, the first is to establish a management strategy that enables Cajaplax to be more efficient in their purchasing processes, second is to apply the theoretical foundations and the third is to provide new policies, better process for the correct suppliers ‘selection, evaluation and business development. There will be a possible solution based on an efficient management process fulfilling the company´s needs, and there will be a flow diagram with the main areas involved in this process. The impact will be reflected on supplier’s quality as well as costs, times, and company´s profits. The conclusion shows that performing a correct purchasing process is vital within the Supply Chain. Key Words: Supply Chain, Suppliers, Selection, Evaluation, Purchases

Effects of supplier selection and supplier monitoring on public procurement efficiency in Tanzania: a cost-reduction perspective

Purpose This study aims to examine the role of supplier selection and supplier monitoring in public procurement efficiency in terms of cost reduction in Tanzania. Design/methodology/approach A structured questionnaire was used to collect cross-sectional survey data from 179 public procuring entities in Tanzania. Structural equation modelling (SEM) was used to analyse the collected data. Findings The findings revealed that supplier selection and supplier monitoring are positive and significant predictors of public procurement efficiency in terms of cost reduction. Research limitations/implications This study was conducted in Tanzanian public procurement contexts, so generalisations should be made with caution. Also, this study collected cross-sectional data; other studies may consider longitudinal data. Practical implications This study provides procurement practitioners with insights into selecting the proper suppliers and embracing supplier monitoring to achieve procurement efficiency in terms of cost reduction. Originality/value This study examines the effects of supplier selection and supplier monitoring on procurement cost reduction as a measure of public procurement efficiency in the Tanzanian context. Consequently, it provides empirical evidence of supplier management practices in the public procurement context.

The Impact of Supplier Selection and Monitoring on the Effectiveness of Public Procurement in Ghana: Cost Reduction Point of View

The aim of this study is to examine the role of supplier selection and monitoring on the effectiveness of public procurement in terms of cost reduction in Ghana. Procurement effectiveness as an element of public performance management can contribute to achieving Value for Money by reducing administrative overhead costs and directing resources to support more complex procurement processes. Procurement adds value by reducing costs, without the compromise of quality, product failures, assuring the operational efficiency to enable better quality without any additional cost with an aim to achieve the best objectives, output at a reduced cost in the supply chain. This study provides procurement practitioners with insights into selecting the proper suppliers and embracing supplier monitoring to achieve procurement efficiency in terms of cost reduction. This study examines the effects of supplier selection and supplier monitoring on procurement cost reduction as a measure of public procurement efficiency in the Ghanaian context. Consequently, it provides empirical evidence of supplier management practices in the public procurement context. A structured questionnaire was used to collect cross-sectional survey data from 170 public procuring entities in Ghana. Structural equation modelling (SEM) was used to analyse the collected data.

Integration Dematel and ANP for The Supplier Selection in The Textile Industry: A Case Study

Currently, companies are required to improve supply chain performance. One of the main problems in the supply chain is the proper supplier selection. Supplier selection has an essential role in improving supply chain management performance. Supplier selection requires the proper criteria. However, the relationship between criteria is rarely considered in the selection of suppliers in the textile industry. This study tries to propose integrating the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) for supplier selection in the textile industry. Both methods are multi-criteria decision making (MCDM) tools DEMATEL is used to assess the relationship between criteria. Furthermore, ANP is used to evaluate and weigh the importance of criteria and suppliers. A case study was carried out in a textile company located in Indonesia. The results show that this procedure can identify the relationship and effect of each criterion. The results show that the product price criteria are the criteria that have the most significant weight. The criteria for conformity to specifications and consistency of quality are in second and third place. Finally, suppliers are selected based on weight assessment on each criterion by ANP.

Ambalaj Tedarikçi Seçim Probleminin Çözümü İçin Hibrit Çok Kriterli Bir Karar Verme Yöntemi Önerisi

Selection or evaluation problems are solved by looking at the different performance factors of the suppliers along the supply chain and by making comparisons with each other, and it is ensured that important preliminary information about the suppliers is obtained. This study has been prepared in order to choose the most suitable supplier among the suppliers that provide / are candidates to provide packaging material for an enterprise producing goodsDecision processes may not always have precision due to differences of opinion arising from human behaviour. When supplier selection problems are solved, many criteria, such as different opinions of decision-makers and their conflict of interests are considered. Multi-Criteria Decision Making (MCDM) techniques are highly effective in finding solutions to such problems. The goal of this article was to find a solution to packaging supplier selection problem of a manufacturing company in a fuzzy environment. To this end, eight suppliers were examined in line with 15 evaluation criteria. The opinions of 4 different decision-makers were taken during decision-making process. The solution of the problem was based upon a mixed model consisting of Fuzzy Analytic Hierarchy Process (F-AHP), used to determine the weights of the criteria, and Fuzzy Weighted Aggregated Sum Product Assessment (F-WASPAS), utilised to make preference among alternatives. At the end of the analysis on the determination of the criteria weights, the most appropriate supplier selection was determined as the delivery date and price, respectively, the two factors most influencing the construction phase. As a result of the evaluation made, A2 was specified to be the most proper supplier. Sensitivity analysis was performed to identify the effectiveness of the results. A2 was determined to be the most proper supplier according to the selection results obtained by MARCOS, MABAC, SAW, ARAS, TOPSIS, EDAS methods.

Perancangan Model Pengambilan Keputusan Pemilihan Pemasok di Perusahaan Manufaktur Produk Farmasi dengan Pendekatan ANP BOCR

In the industry especially pharmaceutical, supplier selection process is a strategic issueand important because of supplier selection is a strategic activity, especially if thesupplier will supply critical items and / or will be used in the long term. To overcomethese problems, then the purpose of this study is to select proper supplier based on thespecified criteria so that the risk of error of supplier selection can be minimized. Basedon the results of supplier selection priority data using Analytic Network Process -Opportunity Cost Benefit Risk (ANP-BOCR) method obtained the criteria of advances insupplier technology have the greatest realistic value and the supplier A is the supplierthat have the greatest realistic weight and most deserve to be supplier of raw material(sodium chloride) for companies.

SISTEM PENDUKUNG KEPUTUSAN SELEKSI SUPPLIER BAHAN BAKU DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

Selection of suppliers for the company or the industry needs to be done to get the supplier truly able to meet the company's needs consistently. In this study, will be appointed a case of finding the best alternative based on the criteria that have been determined using the Fuzzy Multiple Attribute Decision Making (FMADM) Simple Additive Weighting method (SAW). This method was chosen because it is able to select the best alternative from a number of alternatives, in this case the alternative is intended to determine the best supplier based on specified criteria. Based on test results, the application of the system to be implemented to help the work of doing the selection of purchasing parts supplier, can speed up the process of selecting suppliers, and can facilitate the purchasing section chief part in determining the proper supplier selection, proper and appropriate

Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model

In sustainable supply chain management (SSCM), triple bottom line (TBL) of sustainability (economic, social, and environmental) are considered when selecting the suppliers. In this paper, the relative weights of SSCM practices are extracted by fuzzy best worst method (F-BWM) which is capable of better modeling of human thinking. Afterwards, the traditional Combined Compromise Solution (CoCoSo) method is enhanced by the integration of the normalized weighted and the normalized weighted geometric Bonferroni mean functions to select the most proper supplier in a supply chain. The integration of the Bonferroni functions into the CoCoSo method (CoCoSo’B) enables: (1) flexible decision-making respecting the interaction between decision attributes; (2) the elimination of the influence of extreme/awkward data on the values of the criterion functions, and (3) checking the robustness of the results through a variation of the parameters λ, p, and q. Testing the model on the example of sustainable supplier selection demonstrates the rationality, objectivity, flexibility, and stability of the results of the proposed model. Further, the proposed framework makes it possible to evaluate suppliers in terms of sustainability in spite of ambiguities in the decision-making process and a lack of quantitative information. Finally, a real world example of home appliance manufacturer in Serbia is discussed to verify the proposed model applicability.

A decision-making technique for solving order allocation problem using a genetic algorithm

The selection of proper suppliers is one of the most complicated works of the purchasing department. Today, supplier selection includes different conflicting objectives. Because of contradictory multi-objective supplier selection is solving by using decision-making technique. This paper is presented a modified genetic algorithm by using a combination of crossover operators, Order crossover (OX), Simulated binary crossover (SBX) to assign the optimal order quantities to each supplier, with criteria of transportation cost, product quality, and delivery time with a quantity discount. The result shows that the modified genetic algorithm is an allocated optimal order for multi vendors with improves quality as well as less computational times.

Intuitionistic fuzzy cognitive map approach for the evaluation of supply chain configuration criteria

Because of the growing global competence and effectiveness concepts, supply chain becomes more important for organizations. Therefore, managers object to find best supply chain configuration for their firms. This study proposes a comprehensive configuration for supply chain management process, and it enables to understand relationships among supply chain integration, supply chain strategies, supply chain risk factors, and performance criteria. By reviewing the literature and using experts' knowledge, supply chain configuration criteria are determined. Intuitionistic fuzzy cognitive map methodology is employed to consider the interrelations between criteria. Intuitionistic fuzzy cognitive map methodology is a suitable tool due to the presence of causalities and relationships among criteria and the difficulty of expressing the interrelations with crisp numbers. It also deals with uncertain and vague data and allows representing hesitation. The application is conducted in an automobile factory, which is one of the largest manufacturers in Turkey. The results show that selection of proper supplier is the most significant supply chain configuration criteria. Thus, the importance of supplier selection criteria is also analyzed as the second phase of the study.

Identification of Core Suppliers Based on E-Invoice Data Using Supervised Machine Learning

Since not all suppliers are to be managed in the same way, a purchasing strategy requires proper supplier segmentation so that the most suitable strategies can be used for different segments. Most existing methods for supplier segmentation, however, either depend on subjective judgements or require significant efforts. To overcome the limitations, this paper proposes a novel approach for supplier segmentation. The objective of this paper is to develop an automated and effective way to identify core suppliers, whose profit impact on a buyer is significant. To achieve this objective, the application of a supervised machine learning technique, Random Forests (RF), to e-invoice data is proposed. To validate the effectiveness, the proposed method has been applied to real e-invoice data obtained from an automobile parts manufacturer. Results of high accuracy and the area under the curve (AUC) attest to the applicability of our approach. Our method is envisioned to be of value for automating the identification of core suppliers. The main benefits of the proposed approach include the enhanced efficiency of supplier segmentation procedures. Besides, by utilizing a machine learning method to e-invoice data, our method results in more reliable segmentation in terms of selecting and weighting variables.

Green Supplier Selection for Process Industries Using Weighted Grey Incidence Decision Model

Proper supplier selection to meet production demand is a major aspect of all manufacturing and process industries. Green supplier selection has been one of the most critical factors for environmental protection on account of increasing consumption levels and for sustainable development as well. This paper aims at developing an applicable methodology for green supplier selection for the process industry. In this study, both economic and environmental criteria are considered and a comprehensive weighted grey incidence decision approach for green supplier evaluation and selection in a process industry is proposed. First, an overall green supplier selection index system for process industries is considered; then a weighted grey incidence decision-making model with improved grey incidence coefficients and weighted degree of grey incidence is provided. Improved grey incidence coefficients are defined using transformation sequences of the initial data. To eliminate the ill effects from the use of equal weights, the maximum entropy method is used to determine the weights of the improved grey incidence coefficients. An application example is proposed with the data collected for the chemical processing industry, which provides acceptable results in determining the better supplier. In the end appendix, some theory regarding the weights for grey incidence coefficients is proposed. The empirical results indicate that the model is of great practical value for green supplier selection in the process industry.

Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry

In today's economy, due to the importance of quality and quantity of the product, supplier selection plays a significant role in procurement planning of each factory. Agricultural implements industry is one of the industries included in this sensitivity. Thus, in this paper a supplier selection framework for this industry is considered. For this purpose, a strong approach, namely best worst method (BWM) along with a well-known MCDM technique with the name of VIKOR are employed. At first, the criteria with a view to the literature review and opinions of industry experts are identified. Afterward weights of the criteria are obtained by BWM and then candidate suppliers are ranked by using BWM and VIKOR. In order to check the quality of expert's inputs, the consistency tests are applied. Moreover, to investigate the robustness of the approach sensitivity analysis is considered. Finally, according to the obtained results, it is clear that proposed framework could be effective like as existing approaches for supplier selection problems. Also, agricultural managers implementing industries need simple methodologies to select the proper suppliers and improve their situation.

Supplier selection model using QFD-ANP methodology under fuzzy multi-criteria environment

Supplier selection is the most fundamental decision in the purchase management phase. Purchase is the most functional activity among several activities in a supply chain. A proper supplier selection supports a company's long-term strategies and its competitive position. Due to presence of ambiguities and uncertainties in the decision making process for selecting suppliers, fuzzy techniques could provide more reliable and flexible decision of supplier selection problem. In such techniques, customer needs and engineering requirements are weighted by the method of fuzzy analytic network process (ANP) and relationship matrix of quality function deployment (QFD) in fuzzy environment of their importance degree, respectively. Using a mathematical model would integrate the amount of cost components and objective factor measure (OFM). The integrated method is applied to a case study in a reputable Iranian automotive company. The results show the efficiency of the method through considering the viewpoint of decision-makers and their dependence on each other.

Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry

In today's economy, due to the importance of quality and quantity of the product, supplier selection plays a significant role in procurement planning of each factory. Agricultural implements industry is one of the industries included in this sensitivity. Thus, in this paper a supplier selection framework for this industry is considered. For this purpose, a strong approach, namely best worst method (BWM) along with a well-known MCDM technique with the name of VIKOR are employed. At first, the criteria with a view to the literature review and opinions of industry experts are identified. Afterward weights of the criteria are obtained by BWM and then candidate suppliers are ranked by using BWM and VIKOR. In order to check the quality of expert's inputs, the consistency tests are applied. Moreover, to investigate the robustness of the approach sensitivity analysis is considered. Finally, according to the obtained results, it is clear that proposed framework could be effective like as existing approaches for supplier selection problems. Also, agricultural managers implementing industries need simple methodologies to select the proper suppliers and improve their situation.

Sustainable supplier selection and order allocation through quantity discounts

Within activities related to the global supply chain, proper supplier selection regarding sustainability issues, especially economic, environmental and social, plays an important role in sustainable development. In this paper, a new multi-objective mathematical programming model is designed to consider sustainable supplier selection and order allocation simultaneously in a multi-period, multi-item and multi-supplier supply chain. In addition, quantity discounts are considered under two assumptions: all-unit and incremental. The proposed model is solved following a revised multi-choice goal programming approach in order to find a compromise solution. Furthermore, a real-life case is studied to justify the applicability of the proposed model.

Rangiranje čimbenika za odabir dobavljača putem TOPSIS metode

Supplier’s selection is a first step in the supply chain. Supply chain except supplier’s selection includes many other activities. However, with the proper suppliers selection can be realized other objectives too within the supply chain.When selecting new suppliers each company puts specific criteria that need to fulfill and on the basis these criteria i.e. factors make the decision. Depending on which industry belongs to the company, they use a variety of factors in choosing new suppliers. These factors are diverse. This paper, unlike other papers explores the difference they make individual factors for the supplier’s selection using the expert opinion. For experts used in this study were taken from those who have published scientific papers on this topic. In this way it will be ranked factors for the new supplier’s selection using TOPIS methods of multi-criteria analysis and through expert opinions. Using this approach it will be determined what are the most important factors for new supplier’s selection.

Review of sustainable energy sources in Kerman

Purpose This paper aims to identify and introduce areas in Kerman with a very high potential for produce energy from renewable energy. In this paper, with studying renewable energy resources of the world and Iran, and with the introduction of renewable energy resources in Kerman Province and its counties as a proper supplier of energy in Iran and regions. At the end of this discussion, it is seen that the positive impact of clean energies on the economy, the environment and the health of the region and the country and the potential of the Kerman Province in this rare energy place are considered well. Design methodology/approach To study the energy consumption in Iran and based on universal reports, this area is the largest renewable energy production region in Iran. Findings Currently, electricity used in Kerman is nearly 2,000 MW, while the capacity of production is 1,500 MW which is almost the share of renewable energy in electricity production rate is zero. With regard to industrial development plans in Kerman Province, 5,000 MW of electricity will be needed in the near future, so the province will face an energy crisis. Iran is also a developing country and economy; agriculture and the production of this country is extremely dependent on energy and electricity, and it seems that using renewable energy sources is a way to prevent an energy crisis in the country. Originality/value This paper introduces the Kerman Province and examines the potential of this province as a massive source of energy in Iran and the world. Specific qualifications of this region include the climate variability, existing water dams, suitable areas for utilization of biomass and the high potential that this area has for the development of geothermal energy. These qualifications all contribute to make this region a hub for great production of energy from renewable energy sources in Iran.