Supplier Selection Criteria Research Articles

BIM-based search and selection of construction material suppliers: a dedicated framework and prototype

Purpose This study aims to address the key issues concerning supplier selection in traditional construction procurement by proposing an innovative, novel, state-of-the-art prototype plugin building information modelling – supplier search and ranking (BIM-SSR) and an associated conceptual framework. It enhances building information modelling (BIM) capabilities through web crawling and analytical hierarchy processes (AHP). It uses the World Wide Web to procure construction material suppliers. Design/methodology/approach Prevalent issues in traditional procurement of material suppliers have been identified through a rigorous literature review. Field experts vetted these issues. A framework has been presented to address these issues based on integrated web crawling and AHP as a multi-criteria decision-making (MCDM) method. A BIM prototype (BIM-SSR) has been developed using Python and plugged into Autodesk Revit to automate the search and evaluation of material suppliers based on precise material specifications from the BIM design. The BIM-SSR prototype is tested through a case study and validated by field professionals for its efficiency in tackling the identified issues. Findings Thirteen key issues have been identified concerning traditional construction procurement pertinent to supplier selection. Best-value procurement was encouraged by identifying supplier selection criteria such as cost, delivery time, experience, compliance with quality management standards, warranties, and claim period. The presented BIM-SSR prototype has an efficiency of 80%–95% in addressing the issues identified in this study and 97.5% effectiveness in improving the overall procurement management process. Originality/value The BIM-SSR prototype developed in this study is a novel and innovative addition to the body of knowledge that has been integrated into Autodesk Revit as a Plugin. Automation of supplier search and selection through digital technologies, including web crawling and integration of traditionally accepted MCDM methods such as AHP in BIM, is another innovation in the current study. Overall, this study presents a holistic, innovative system, from conceptual design to practical implementation and demonstration. This is one of the steps to help the traditional construction procurement process evolve into a more modern and digital procurement.

Influence of Tendering Process on Performance of County Governments in Kenya

Procurement is essential to every organization, serving as a platform for all stakeholders to come together and discuss their needs and goals related to purchasing. The study aimed to explore factors influencing the tendering processes of County Governments in Kenya, focusing specifically on Siaya County Government. The study was guided by three objectives, to examine supplier selection criteria on performance of county Governments in Kenya, to establish the influence of Ethical Practices in Tendering processes on performance of county Governments in Kenya, to investigate the influence of automation processes of Tendering processes on performance of county Governments in Kenya, and to establish moderating effect of government policy on Public procurement And Disposal Act on performance of County Governments in Kenya. The research utilized a Descriptive Research Design approach to gather pertinent information. The study involved Census Sampling in which all 74 participants from different management levels and ad hoc committee members within the department. Questionnaires were used as the main data collection instruments. Data was gathered through the distribution of questionnaires to the chosen participants by means of pick and drop. respondents of 66% were received and were completed accurately, demonstrating an adequate response rate. The statements of the problem mainly focused on major issues facing the tendering procedures and analyzes their influence on organizational performance. The study findings show that Supplier selection criteria Mean of 4.002 and standard Deviation of 0.1428 the highest score amongst the key performance indicators was quality with mean of 4.29 and standard deviation of 0.097 showing highly significant to supplier selection criteria. Ethical practices in Tendering Mean of 4.012 Standard deviation of 0.097, of highest score in key performance indicators was Integrity with mean of 4.468 and standard deviation of 0.097. its shows that highly significant to Ethical practices, Automation of Tendering mean of 4.093 standard deviation of 0.148 highest amongst the key performance indicators was E informing with mean 4.224 and standard deviation 0. 147 shows highly significant to Automation. Moderating variable Mean of 4.094 standard deviation of 0.136 highest score among st key performance indicators of quality 4.306 standard deviation of 0.114 shows highly significant to Moderating variable and all the variables were critical to the performance of County Governments in Kenya. The study recommends that there is need to enormously implement procurement policies which encourage tendering, in order to enhance performance

Sustainable Supplier Selection Criteria for HVAC Manufacturing Firms: A Multi-Dimensional Perspective Using the Delphi–Fuzzy AHP Method

Sustainable Supplier Selection Criteria for HVAC Manufacturing Firms: A Multi-Dimensional Perspective Using the Delphi–Fuzzy AHP Method

A Novel Model for Sustainable Supplier Selection in the Paint and Coating Industry

Given the significance of sustainability in the current global market, doing a comprehensive and current assessment of a supplier’s sustainability might be beneficial for improving a firm’s competitiveness. This study aims to develop sustainable supplier selection criteria, examine their interrelationships, and determine the critical criteria in the paint and coating industry. This study employed a focus group discussion (FGD), the Delphi method, a decision-making trial and evaluation laboratory-based analytical network process (DANP), and a measurement of alternatives and ranking according to compromise solution (MARCOS). The findings indicated that most sub−criteriasub−criteriaexperts agreed that 11 economic sub−criteria, five environmental sub−criteria, and three social sub−criteria should be considered when selecting a sustainable supplier. The results show that the most influential criteria are environmental criteria, while the critical criteria are social criteria. In addition, “Service” (E4), “Green Material” (L3), and “Health and Safety” (S1) sub−criteria should be considered to assess the supplier because they have high relation and prominence. Globally, the top five highest weighted sub−criteria are “Respect for the Law” (S2), “Health and Safety” (S1), “Worker’s Social Rights” (S3), “Waste Management” (L5), and “Environment Management System” (L1). We practically selected 12 providers from the paint and coating sector to assess the scheme’s practicality. This work introduced a novel model for selecting a sustainable supplier that helps industries understand their core criteria and sub−criteria. This will enhance the industry’s competitiveness and sustainability by evaluating suppliers based on economic, environmental, and social criteria.

BRalu Profile: the procurement strategy

Learning outcomes After completion of the case study, students will be able to understand BRalu Profile’s product range, customer base and historical developments; analyze how BRalu Profile’s procurement strategy evolved and its impact on business profitability; calculate and compare procurement costs and evaluate their role in decision-making for different suppliers; examine how market conditions (includes domestic and international dynamics) and pricing strategies influence procurement choices; assess the pros and cons of different procurement options and make informed recommendations based on supply chain principles; and identify potential procurement risks (e.g. currency exchange rates and supplier reliability) and propose strategies to mitigate them. Case overview/synopsis This case study explored the challenges faced by BRalu Profile, a prominent aluminum profile products company based in Ahmedabad, India. It focused on the critical task of supplier evaluation, selection and the complexities of maintaining relationships with existing suppliers. This case study delved into the intricate dynamics of procurement decisions within the supply chain and their direct impact on the firm’s overall performance. It also emphasized the supply chain’s susceptibility to disruptions and their consequences on company operations and supplier selection criteria. The protagonist, Dhaval Choladiya, had to navigate the complexities of cost-benefit analysis to identify the most suitable supplier, maximizing the firm’s net benefit while considering nonpricing parameters. This case study revealed the critical importance of maintaining strong supplier relationships in a competitive market and offered insights into the complexities of sourcing. Complexity academic level This case study is suitable for an undergraduate or graduate-level course on strategic sourcing or supply chain management or a risk management module in operations, strategy or finance course (e.g. how to deal with input cost fluctuations). Supplementary materials Teaching notes are available for educators only. Subject code CSS 11: Strategy.

SUSTAINABLE SUPPLIER SELECTION IN INDIRECT PROCUREMENT: BEST PRACTICES AND CASE STUDIES IN ENGINEERING

This systematic review examines sustainable supplier selection in indirect procurement within the engineering sector, focusing on best practices, criteria, and impacts on organizational performance. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the review synthesizes findings from 35 articles published between 2000 and 2023. Key best practices identified include the integration of sustainability criteria into supplier evaluations, the use of lifecycle assessments (LCAs) to gauge environmental impact, and the implementation of carbon footprint analyses. Additionally, the emphasis on fair labor practices and the requirement for suppliers to obtain certifications like SA8000 enhance social sustainability and corporate social responsibility (CSR). The evolution of supplier selection criteria to encompass environmental, social, and economic factors reflects a more holistic approach, addressing complex sustainability challenges and driving long-term value and resilience in supply chains. The review also highlights the positive impacts of sustainable procurement practices, such as cost savings, risk mitigation, enhanced brand reputation, and improved operational efficiency. These findings underscore the strategic importance of sustainable procurement in achieving organizational sustainability goals and fostering sustainable development in the engineering sector.

OPTIMIZING HVAC EFFICIENCY AND RELIABILITY: A REVIEW OF MANAGEMENT STRATEGIES FOR COMMERCIAL AND INDUSTRIAL BUILDINGS

This systematic review examines sustainable supplier selection in indirect procurement within the engineering sector, focusing on best practices, criteria, and impacts on organizational performance. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the review synthesizes findings from 35 articles published between 2000 and 2023. Key best practices identified include the integration of sustainability criteria into supplier evaluations, the use of lifecycle assessments (LCAs) to gauge environmental impact, and the implementation of carbon footprint analyses. Additionally, the emphasis on fair labor practices and the requirement for suppliers to obtain certifications like SA8000 enhance social sustainability and corporate social responsibility (CSR). The evolution of supplier selection criteria to encompass environmental, social, and economic factors reflects a more holistic approach, addressing complex sustainability challenges and driving long-term value and resilience in supply chains. The review also highlights the positive impacts of sustainable procurement practices, such as cost savings, risk mitigation, enhanced brand reputation, and improved operational efficiency. These findings underscore the strategic importance of sustainable procurement in achieving organizational sustainability goals and fostering sustainable development in the engineering sector.

Supplier Selection of Salt Industry With AHP and Topis Method

Purpose: This study aims to identify the criteria for selecting salt suppliers and propose a supplier selection framework so that the salt industry can buy raw materials according to the specified standards and prices. Theoretical reference: This research synthesizes supplier selection criteria from the literature. Method: A decision-making framework for supplier selection was constructed by integrating the AHP with TOPSIS. Data were gathered via interviews with salt industry professionals and from observations of salt manufacturing and the supply chain. The weight of the criteria for selecting the salt supplier was determined through the use of questionnaires that utilized the AHP and TOPSIS methodology. Result and Conclusion: The findings of this study offer the Salt Industry valuable insights into the factors that should be considered when selecting suppliers, such as Quality, Service, Delivery, Flexibility, and Responsiveness. The AHP method's outcome indicates that the criterion with the highest ranking is quality. The results suggest that the criteria are ranked in descending order of importance, with quality having the highest weight, followed by delivery, responsiveness, flexibility, and service. Supplier A, with the highest ranking, has been chosen. Implications of research: The framework developed in this article uses only five criteria and was validated on one salt company. Further research can be continued by adding new criteria and validated in several salt industries. The algorithm and the output of this research are expected to be used as inputs in the design of the digital supply chain of the salt industry. Moreover, the management can use this method to choose raw material suppliers based on quality, service, delivery, flexibility, and responsiveness. Most producers of salt raw materials in Indonesia are salt farmers, most of whom still use traditional salt production and storage methods. It is hoped that the results of this research can provide information to salt suppliers, including salt farmers, about the criteria that must be met so that the salt produced can be immediately sold to the salt industry. Originality/value: This study develops a supplier selection system designed for the salt business, which has significant importance in Indonesia. The literature study results from this study are anticipated to provide valuable insights for academics researching supplier selection. This research can be furthered by examining the impact of this supplier decision on the performance of the Salt supply chain, extending from upstream to downstream.

SUPPLIER SELECTION CRITERIA OF RESTAURANT: A CROSS-INDUSTRY LITERATURE REVIEW

Previous studies have extensively explored supplier selection criteria; however, there has been a notable scarcity of in-depth investigations into the specific criteria for selecting suppliers in the restaurant industry. Thus, this research commences with an overview of supplier selection criteria, followed by a comprehensive review of criteria employed across diverse industries. Through this review, this study identify and distill five key criteria uniquely suited for restaurants: Finance, Technology, Product Quality, Cost, and Service of Supplier. These criteria are subsequently subjected to thorough analysis. This study ultimately contributes novel insights into supplier selection within the restaurant sector, providing the industry with robust decision-making support and practical guidance.

Exploring scientific publications for the development of relevant and effective supplier selection methods and criteria in the food Industry: A comprehensive analysis

This study conducted a comprehensive bibliometric analysis to uncover emerging trends, preference patterns in supplier selection, and the important factors considered in the process. This study integrates three interrelated approaches, namely bibliometric analysis, literature review, and expert interviews. This study demonstrates the significant contribution of combining bibliometric analysis and literature review in the development of supplier selection methods. Two primary approaches are commonly employed: Multi-Criteria Decision Making (MCDM) and Optimization. MCDM methods, such as AHP, SWARA, and TOPSIS, are frequently utilized to measure relative preferences and select the most suitable supplier. On the other hand, the optimization approach employs linear programming methods to achieve optimal solutions in supplier selection. The hybridization of methods, particularly the combination of AHP and Linear Programming, is the most commonly employed approach to achieve more effective supplier selection outcomes aligned with the food industry's needs. Furthermore, this study discusses the significance of identifying and developing relevant supplier criteria in the food industry. Notably, environmental criteria emerge as prominent qualitative criteria, while quality and sustainability stand out as primary quantitative criteria.

Some weighted aggregation operators of quadripartitioned single-valued trapezoidal neutrosophic sets and their multi-criteria group decision-making method for developing green supplier selection criteria

Some weighted aggregation operators of quadripartitioned single-valued trapezoidal neutrosophic sets and their multi-criteria group decision-making method for developing green supplier selection criteria

Green Supplier Selection Using Fuzzy AHP, Fuzzy TOSIS, and Fuzzy WASPAS: A Case Study of the Moroccan Automotive Industry

The green supplier selection presents numerous challenges, from initial assessment to final selection, which specialists in this field of supplier management often encounter. Among the techniques that aim to meet these challenges that are continually progressing is the creation and development of high-quality decision-making tools. In this study, the assessment of suppliers hinges on both traditional and environmental factors. A framework of multi-criteria decision-making (MCDM) is announced in order to appraise green supplier selection. This framework integrates Fuzzy Analytical Hierarchy Process (AHP) combined with two additional methods: WASPAS (“Weighted Aggregated Sum-Product Assessment”) and TOPSIS (“Technique for Order Preference by Similarity to Ideal Solution”). At the outset, there were five environmental criteria for green supplier selection: “Health and Safety”, “Sustainable Product Design”, “ISO 14001 Certification”, “Investment Recovery”, and “Green Packaging”, along with three conventional criteria including quality, price, and delivery, were pinpointed through a review of literature and expert input to facilitate the MCDM approach. As part of demonstrating the pertinency of the recommended framework, a practical case study of the automotive industry in Morocco is discussed. The results demonstrate that the utilized Fuzzy hybrid methods yield consistent rankings for green suppliers. Additionally, among the four green suppliers, number three obtained the best ranking, which indicates the robustness and performance of the chosen models. Furthermore, this study offers a unified platform for selecting green suppliers under a Fuzzy environment. Therefore, the chosen strategy and its analysis provide relevant data and information to decision-makers for the choice and selection of suppliers. It can also provide and help procurement departments and decision-makers to choose and select the efficient ecological supplier in the global market supply chain.

Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection

Globalization and multinational commerce have increased the dynamism and complexity of supply networks, thereby increasing their susceptibility to disruptions along interconnected supply chains. This study aims to tackle the significant concern of supplier selection disruptions in the Thai agri-food industry as a response to the aforementioned challenges. A novel supplier evaluation system, PROMETHEE II, is suggested; it combines the Fuzzy Analytical Hierarchy Process (FAHP) with inferential statistical techniques. This investigation commences with the identification of critical indicators of risk in the sustainable supply chain via three phases of analysis and 315 surveys of management teams. Exploratory factor analysis (EFA) is utilized to ascertain six supply risk criteria and twenty-three sub-criteria. Following this, the parameters are prioritized by FAHP, whereas four prospective suppliers for an agricultural firm are assessed by PROMETHEE II. By integrating optimization techniques into sensitivity analysis, this hybrid approach improves supplier selection criteria by identifying dependable solutions that are customized to risk scenarios and business objectives. The iterative strategy enhances the resilience of the agri-food supply chain by enabling well-informed decision-making amidst evolving market dynamics and chain risks. In addition, this research helps agricultural and other sectors by providing a systematic approach to selecting low-risk suppliers and delineating critical supply chain risk factors. By bridging complexity and facilitating informed decision-making in supplier selection processes, the results of this study fill a significant void in the academic literature concerning sustainable supply chain risk management.

Strategies to Enhance the Productivity of an Automotive Company Throughout the Supplier Selection Process Method

The study aims to determine strategies for selecting suppliers to improve productivity at the automotive company. Supplier selection methods are vital for purchasing and procurement departments, as they directly influence organizational success. By carefully assessing suppliers, these departments can ensure cost efficiency by negotiating favorable terms and prices and guaranteeing high-quality products or services that meet established standards. By employing qualitative research methods, the research scrutinizes the criteria, decision-making processes, and challenges in selecting suppliers through analysis of the methods. The result indicates that the Fuzzy AHP emerges as the most prominent method. The findings of this research contribute to the existing body of knowledge by offering valuable insights and practical implications for improving supplier selection processes within automotive companies. This research identifies and ranks criteria for supplier selection and monitoring, as well as explains where supplier selection strategies could be improved, with the ultimate goal of improving supply chain management and overall organizational performance in the automotive sector

Analysis of supplier selection criteria using fuzzy analytical hierarchy process by contractors in Yogyakarta

Analysis of supplier selection criteria using fuzzy analytical hierarchy process by contractors in Yogyakarta

Determinants for Supplier Selection Based on Hybrid Grey Theory: Case Study of the Vietnamese Coffee Industry

Coffee is not merely a refreshing beverage but also invigorates people, provides relaxation, contributes to human health, and fosters closer social connections. Coffee is one of the most widely consumed beverages worldwide and the most traded commercial commodity. Moreover, the rapid development of the Vietnamese coffee industry caused some concerns due to its insufficient performance and the fierce competition within the industry. It is significant to establish an efficient supply network; notwithstanding, supplier selection has always been a challenge for companies. Therefore, this paper employs a hybrid model to determine the supplier selection criteria, a vital factor for a manufacturer under practical operating conditions. Firstly, a combined model of Grey forecasting and the Grey Fourier series is applied to forecast future rainfall and temperature data for six consecutive years. Secondly, based on the criteria, strategies, and buyer requirements, the single-objective linear programming model helps identify the outperformed suppliers. The results found that prices and location change are determinants of supplier selection, and supplier shortage is an enormous barrier for the industry. In this study, these price forecasts allow supply chain management to make informed decisions about inventory levels, transportation routes, and resource allocation to ensure smooth operation and optimize coffee supply chain management.

Supplier selection using the integrated MEREC – CoCoSo methods in a medical device company

The medical device industry is a rapidly developing industry that includes various dynamics. Developed technologies show continuous improvement depending on diagnosis and treatment applications in health services. To keep up with this change and survive in an increasingly competitive environment, medical device manufacturers must be engaged in continuous improvement activities. This situation, necessary for many companies producing in the industrial field, gains even more importance in the medical device sector when the direct impact of product safety and quality on human life is considered. In companies producing medical devices, the legal requirements of the product being a medical device are followed by the notified bodies and authorized authorities within the framework of standards and regulations within the scope of quality processes. Increasing costs and liabilities with MDR 2017/45 have pushed medical device manufacturers to question their methods. In this study, it was determined that customer requests could not be met in a company producing medical devices, and it was observed that delivery times increased. In evaluating the reasons for the increase in delivery time, it was determined that supplier selection could have been carried out more effectively. For this purpose, six suppliers and six criteria were selected because of the company's sector knowledge and the evaluations of the company managers. The Combined Compromise Solution (CoCoSo) method, one of the new generation multi-criteria decision-making (MCDM) methods, is proposed for ranking the suppliers in the supplier selection problem. Method The removal effects of criteria (MEREC) weighting method was used to weight supplier selection criteria. In this study, a new generation supplier selection method application in medical devices has been carried out. Considering the inadequacy of the studies on supplier selection in medical devices, the relevant research will contribute to the literature.

Green supplier selection under supply risks using novel integrated fuzzy multi-criteria decision making techniques

Green supplier selection is one of the core business processes in the practice of sustainable supply chains, which enables firms to improve their performance to reduce harmful environmental impacts in all inbound activities. In this challenging and more dynamic business environment, materials supply can suffer from disruptions. This study aims to select suppliers based on environmental aspects by considering supply risks under an uncertain environment. Combined multi-criteria decision-making techniques are developed to address such complexity. Integrated fuzzy Analytical Hierarchy Process-Combined Compromise Solution (Fuzzy AHP-CoCoSo) and Fuzzy Stepwise Weight Assessment Ratio Analysis-Failure Mode and Effects Analysis (Fuzzy SWARA-FMEA) are applied to evaluate suppliers based on green criteria and supply risks. Data Envelopment Analysis (DEA) is used to aggregate the overall score for the final selection. A case study of green supplier selection in a manufacturing company is presented. Extensive analysis is performed to investigate the dependencies of supply risks based on the supplier selection criteria.

Developing a hybrid methodology for green-based supplier selection: Application in the automotive industry

The green performance values of businesses are of great importance in terms of sustainability, which includes long-term economic, social, and environmental effects. Thus, today, enterprises and managers are increasingly interested in this issue, and related topics, including supplier selection, have been inserted into decision-making procedures. However, how to predict the effects of green performance criteria, which represent environmental sustainability, on social and economic sustainability remains unclear. In this regard, the main purpose of this research is to develop a supplier selection methodology considering green performance criteria by applying multiple regression analysis and the Evidential Fuzzy Multi-Criteria Decision Making (F-MCDM) method based on Dempster-Shafer Theory (DST), which are both powerful methods in statistical analysis and decision-making under uncertainty. In the first phase of the research, variables that significantly affect green performance have been determined by testing the eight generated hypotheses with multiple regression analysis. Then, the best supplier was determined using those green supplier selection criteria in the Evidential F-MCDM method. Since using environmentally hazardous paints in the production process continues, the automobile paint production sector has been chosen as the application area of this green-based supplier selection methodology. In this respect, green dynamic capacity, green purchasing, eco-design, investment recovery, and green product innovation variables have been inserted into the Evidential F-MCDM method as the determinant variables of green performance. This research reveals that integrating multiple regression and Evidential F-MCDM methods can be a hybrid methodology in supplier selection. Thus, a different perspective is introduced into the green supplier selection decision-making process by considering the effects of criteria in the MCDM model on green performance. This innovation enhances the criteria determination and selection processes in classical MCDM approaches. In addition, green dynamic capacity is the most critical criterion in supplier selection based on their green performance, especially in the scope of this research.

Supplier Selection Modeling and Analysis in the Metal Casting Industry Using Analytical Hierarchy Process

This study presents a supplier selection problem of a raw material using an analytical hierarchy process. In the existing process, the delivery of raw materials experienced delays and impacted the production process. Therefore, this paper aims to determine the criteria for supplier selection and provide recommendations for the best vendor to be selected from the last request for quotation document. Analytical Hierarchy Process (AHP), as a multi-criteria approach, was utilized in this research, starting from determining criteria, the weight of criteria, and the final score for each supplier. Through discussions with the company’s expert, procurement department, and users, as well as a review of the previous studies, this research defined three criteria, each consisting of three sub-criteria. The AHP approach was utilized to evaluate and determine the weights for the three criteria, yielding the following results: quality (62%), price (28%), and delivery (10%). The identified criteria, sub-criteria, and respective weights are subsequently utilized in a supplier selection scenario. Three suppliers of mild steel raw materials were evaluated using the weights of the criteria and sub-criteria obtained. Supplier 1 was selected because of having the higher alternative value of 0.602. The use of AHP in supplier selection is often impractical and contains subjectivity. Therefore, further research can be performed by integrating AHP with other methods, such as weighted scoring, to facilitate further the vendor selection process and integration with other methods, such as fuzzy logic, to reduce subjectivity.