Supplier Evaluation System Research Articles

The Proliferation of Artificial Intelligence in the Forklift Industry—An Analysis for the Case of Romania

This paper investigates the impact of artificial intelligence (AI) on the forklift industry, focusing on logistics and procurement within small and medium-sized enterprises (SMEs) in Romania. Using a mixed-methods approach, including interviews with seven managers from a benchmarked company in the forklift industry (BCFI) and quantitative analysis of operational data, we examine the transformative effects of AI integration. Key findings include a 30% reduction in inventory holding costs due to AI-powered predictive analytics; a 15% decrease in procurement costs through AI-driven supplier evaluation systems; a 25% increase in operational efficiency from AI-optimized route planning; a 40% boost in overall productivity attributed to AI-enabled automation; and a projected 20% reduction in low-skilled labor requirements over the next five years. The study employs environmental, social, and corporate governance (ESG), balanced scorecard (BSC), benchmarking, and activity-based management (ABM) models to analyze risks and implications of AI integration. A case study of a leading Romanian SME in the forklift industry is presented, examining financial strategies using McKinsey’s 7S framework. The paper concludes that while AI offers significant operational benefits, it also presents challenges in workforce transition and ethical considerations that require careful management.

Apparel Supply Chain Management and Practice under the Perspective of Sustainable Development

Abstract: This study explores the challenges faced by the apparel industry and the means of attaining sustainable development via effective supply chain management amidst the backdrop of global economic integration and the evolving information technology landscape.Firstly, the current situation of the apparel industry is analyzed, including factors such as the increase in consumers' personalized demands, the increasingly fierce competition, the rising costs of labor and raw materials, and the growing consciousness of environmental preservation. The development status and problems of apparel supply chain management are then analyzed, including the excessively long supply chain, the lack of flexibility and adaptability in management, the opacity of information, the lack of a supplier evaluation system, and the neglect of sustainable development by enterprises. It further discusses achieving sustainable development in the apparel industry, including reducing water consumption and pollution, addressing the adverse consequences arising from the rapid turnover of fashion trends, promoting the construction of a circular supply chain, etc. Corresponding solutions are proposed. Finally, this study concludes how supply chain management and sustainable development practices can inject new vitality into apparel enterprises and achieve the industry's sustainable development goals.

Design of an international trade target supplier evaluation system based on CART algorithm

International trade, as an important component of economic exchange between countries, is of great significance for the economic development of each country and international cooperation. In international trade, the selection and evaluation of suppliers has always been a key issue. To ensure the smooth progress of trade and the controllability of quality, it is necessary to establish a target supplier evaluation system. This article used the CART (Classification and Regression Tree) algorithm to help identify and analyze the impact of key factors on supplier evaluation and classify and evaluate suppliers. The international trade target supplier evaluation system based on the CART algorithm was also constructed, and its performance was tested in the experimental section and compared with the international trade target supplier evaluation system based on traditional algorithms. According to the experimental results, it can be concluded that both the traditional algorithm and the CART algorithm performed well in terms of application effectiveness and system user satisfaction. In terms of application effectiveness, the average score of traditional algorithms was 4.3, with a rating range of 3.8 to 4.9, while the average score of the CART algorithm was 4.6, with a rating range of 4.2 to 5.0. The satisfaction rating of system users on the CART algorithm was slightly higher than that of traditional algorithms, indicating that the CART algorithm has better application effectiveness and user satisfaction in the design of international trade target supplier evaluation systems. The design of an international trade target supplier evaluation system based on the CART algorithm can also help enterprises reduce trade risks and improve the stability and reliability of the supply chain. It has important practical significance and application value for further promoting the development of international trade.

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.

Developing a Green Supplier Evaluation System for the Chinese Electric Vehicle Battery Manufacturing Industry Based on Supplier Willingness to Participate in Green Collaboration

To control the carbon emission problem arising from the manufacturing process of electric vehicle batteries, green collaboration with raw material and equipment suppliers is critical. However, Chinese electric vehicle battery manufacturers are still unsure how to measure suppliers’ green collaboration willingness, and existing studies have also failed to develop an evaluation system for such measurement. Therefore, this article aims to build a supplier evaluation system based on the green collaboration willingness for Chinese electric vehicle battery manufacturers. Based on the above, this article designs an analysis process based on the case study method concept and combines it with the decision-making trial and evaluation laboratory, analytic network process, and best-worst method to develop a methodology. The research results show the following. 1) The evaluation system involves four criteria, including the ability to meet buyer needs, the relationship between manufacturers and suppliers, responsibility and commitment, and the implementation of environmental management, of which the ability to meet buyer needs is the most important criterion. 2) The relationships between manufacturers and suppliers are a critical criterion for measuring suppliers’ willingness to collaborate in green supply chain improvement. 3) Based on the abovementioned factors, we also identify a causal relationship between the critical criterion and other criteria. In contribution, in addition to filling the gap in the literature, the evaluation system proposed in this article can also help battery manufacturers select suppliers with high collaboration willingness to promote the decarbonization of battery production.

Research on the evaluation of green suppliers of high energy-consuming enterprises--based on rough number-grey correlation TOPSIS method

With the Goal-Establishment of “carbon compliance” and “carbon neutrality”, enterprises should upgrade “green development” to a strategic position and implement it through all aspects of business operations. Green supplier selection is the initial phase of supply chain management, therefore a green supplier evaluation system is needed to achieve green development. Based on a literature analysis, We selected 45 metrics as candidates for evaluating suppliers. Then through expert interviews, some indicators were revised and supplemented, and finally a green supplier evaluation index system for high energy-consuming enterprises was constructed. A unique aspect of this paper is the introduction of rough number theory into the supplier evaluation process to improve the indicator assignment and the grey correlation TOPSIS method, which optimizes the processing of uncertain semantic information in the evaluation process. The rough number-grey correlation TOPSIS supplier evaluation model developed in this paper has been verified to be applicable and stable in case studies and successfully implemented.

An integrated machine learning and MARCOS method for supplier evaluation and selection

Evaluating and selecting suitable suppliers involves several criteria, making it a complex and difficult problem for decision-makers. Several approaches have been developed to help achieve the best possible results for selecting the most suitable suppliers. Traditionally, multi-criteria decision-making methods, such as the recently introduced MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) method, have been used for supplier evaluation and selection. A common issue to be addressed in such methods is determining appropriate weights for the evaluation criteria. We propose an integrated approach that combines machine learning with the MARCOS method for this evaluation process. The approach uses feature importance methods based on interpretable tree-based machine learning to calculate weights for supplier selection criteria. These weights are then used as part of the MARCOS method to rank individual suppliers and select the supplier with the highest rank. The proposed approach is validated through a real-world case study in the oil and gas sector and is compared with state-of-the-art approaches in multi-criteria decision-making and machine learning-based classification. Results show that the proposed model selects suppliers in line with human evaluators and performs similarly to other multi-criteria decision-making approaches. The proposed approach can be useful for designing effective and efficient supplier evaluation systems.

Mexican MSMEs supplier selection under a commercial and environmental approach: Case Pachuca and suburban areas

The selection of suppliers is a decision that contributes to the competitiveness of companies due to its impact on their costs, efficiency and innovation. The purpose of this research is to distinguish which are the criteria used by a group of Micro, Small and Medium Enterprises (MSMEs) from Hidalgo, Mexico, in order to identify the factors that influence their business and build a supplier evaluation system to guide them to carry out this process with a broader approach than the technical one. The first phase of the investigation includes the search for data from micro, small and medium-sized manufacturing companies, located in four municipalities of the state of Hidalgo, based on information provided by the National Statistical Directory of Economic Units (DENUE). The second stage consists of the application of a questionnaire among the entrepreneurs of the companies. Finally, the third stage included the analysis of the information collected.

Supplier Assessment in PET Recycle for The Beverage Industry

The beverage Industry is a company that is engaged in the production of mineral water in Polyethylene Terephthalate (PET) bottles. PET bottle is the primary material used in the beverage industry. Therefore, the use of PET resin as bottle material is unavoidable. On the other hand, public awareness about the environment is getting bigger. Seeing these conditions, the company decided to use recycled pet resin to solve this problem. Currently, the company has three candidates for recycle PET suppliers, as alternative suppliers to be selected. The company wants to know which suppliers are eligible to be selected and which suppliers can be eliminated so that this project can run successfully. The Analytic Hierarchy Process (AHP) method will be used in this study to assist in making research weights. Further, a supplier assessment and evaluation system will be made to decide which supplier to select.

Supplier Evaluation Considering Green Production Based on Probabilistic Linguistic Information

The evaluation of manufacturing component suppliers is focused on economic indicators, with insufficient emphasis on green indicators and no consideration of the correlation between indicators. Firstly, indicators related to green production are incorporated into the supplier evaluation system. Then, for the problem that attributes in decision making can be divided into different categories and there are interrelationships between attributes of the same category, a multi-attribute decision-making (MADM) method based on the partitioned Maclaurin symmetric mean operator (PMSM) is proposed. Finally, the proposed MADM method was applied to the evaluation of component suppliers considering green production. Comparing popular decision methods with the newly proposed method for validation, it was demonstrated that the proposed multi-attribute decision method is highly flexible and versatile. Furthermore, the newly proposed aggregation operator can not only handle the correlation between multiple attributes, but also be converted to other general aggregation operators through parameter adjustment.

Evaluation and Selection of Cement Suppliers under the Background of New and Old Driving Energy Conversion in China

Accompanied by the concept of supply-side structural reform and conversion of new and old driving energy to create a new round of economic development in China, cement supplier evaluation and selection are increasingly crucial for concrete production plants, ensuring not only raw material supply with high quality and at a reasonable price but also sustainable and long-term cooperation with suppliers. Given the limitations of the existing approaches, this study proposes a cement supplier evaluation and selection framework based on the combination of the improved FAHP-CRITIC method and VIKOR method. We first develop a cement supplier evaluation and selection index system under the background of new and old driving energy conversion, including eight first-level indicators and twenty-one second-level indicators. The proposed model then uses triangular fuzzy numbers AHP (TFN-AHP) and the improved CRITIC method to calculate subjective and objective weights by replacing the coefficient of variation with standard deviation, uses the ideal solution-based method to determine their combination weights, and combines the VIKOR method to calculate the comprehensive evaluation values of candidate cement suppliers. After that, the proposed approach is applied to evaluate and select ten cement suppliers for concrete production plants, and the results are compared and analyzed with those using the traditional method. The results of the comparison show that the proposed strategy can be scientific and reliable, helping managers to make the right decision under the background of new and old driving energy conversion in China.

Developing a green supplier evaluation system for the Chinese semiconductor manufacturing industry based on supplier willingness

Developing a green supplier evaluation system for the Chinese semiconductor manufacturing industry based on supplier willingness

FINANCIAL PLANNING OF IMPORT OPERATIONS IN PE "ART-ENERGO"

Purpose. The purpose of the study is to formulate a proposal to improve the technology of planning the supply of goods as part of the financial planning of import operations of PE "Art-Energo" in accordance with the problems identified during the analysis of the enterprise. Among the objectives of the study are: - consideration of the current state and features of the functioning of the system of financial planning of import operations at the enterprise during the analysis of its activities; - identification of the most urgent problem that arises in the supply of goods within the financial planning of import operations of the enterprise; - formation of a proposal to solve the identified problem of financial planning of import operations and justification of its feasibility. Design/methodology/approach. To achieve the goals, special and general scientific methods were used, including: graphic method was used to visualize the cycle of financial planning of imports of PE "Art-Energo"; expert method was used to determine the weight of the criteria for evaluating suppliers in the system of financial planning of import operations of PE "Art-Energo"; comparison was used to justify the most favorable terms of cooperation and to select the best contractors; systematization was used for calculations of liquidity indicators; generalization was used to develop recommendations for working with partners by category in the system of financial planning of import operations of PE "Art-Energo". Findings. In the article is shown that the conditions of cooperation with foreign counterparties directly affect not only the competitiveness of the enterprise, but also the financial performance of its activities. It was found that non-parity terms of cooperation with suppliers can be one of the causes of cash gaps, which in turn leads to the inability of the company to repay its obligations on time and, consequently, to insolvency. It is established that the maneuverability of working capital is significantly reduced with the full advance of products, which is the main condition for cooperation of suppliers with PE "Art-Energo", so there is a need to transform the payment system. In order to increase the efficiency of the technology of planning the supply of goods as part of the financial planning of import operations, it is proposed to introduce a system of supplier evaluation in the activities of the enterprise. The hypothesis of a positive relationship between the introduction of supplier evaluation system as a tool of improvement the financial planning of import operations of PE "Art-Energo" and the growth of the company's ability to pay current liabilities, including timely payments on accounts payable due to operating cash flow is proven. Practical implications. The introduction of a supplier evaluation system based on the evaluation of estimation according to the relevant criteria and the classification of partners by category will help ensure transparency of the contractor selection mechanism, eliminating subjective preferences, thereby minimizing the impact of the human factor. That is why such a way to improve the technology of planning the supply of goods can find practical application not only in the case of PE "Art-Energo", but also for any other trading company. Originality/value. In the article, the authors suggest the use of a supplier evaluation system based on the results of the audit and the assignment of the rating to the contractors, that allow to identify their weaknesses and clearly formulate the tasks that need to be solved by the supplier in order to effectively cooperate with PE "Art-Energo". Eliminating the actual shortcomings of the supply system and the introduction of supplier evaluation system helps the company to reduce costs, risks, increase the quality of goods and ensure the stability of work.

Supplier Evaluation and Selection System of Embedded E-Commerce Platform Based on Big Data

For e-commerce companies, it is easier to obtain a large amount of aggregated data about user behavior with the help of embedded network platforms, which contains valuable information that helps to form effective decision-making. This article first gives a detailed introduction to the evaluation and selection of e-commerce and suppliers; then puts forward the analytic hierarchy process and entropy method; finally, the AHP analytic method is used to build a supplier evaluation system and a selection system. The experimental results of this paper show that after obtaining the entropy AHP weights through the analytic hierarchy process, these 8 suppliers can be ranked and selected. Using the ABC classification method, classification is based on the ranking of suppliers. Among them, Class A suppliers account for 12.5%, which plays a key role in the construction of the evaluation and selection system of e-commerce suppliers.

Evaluating Suppliers for Healthcare Centre using Ordinal Priority Approach

Supplier selection is one of the most critical problems in the industry. In the healthcare sector, where the tolerance level for mistakes and errors is low, the need to improve the supplier evaluation system is ever increasing. Earlier, the cardinal data-based mathematical models played an important role in supplier selection however since last few decades, the emphasis on the decision-making methods that can handle ordinal relations is gaining exceeding attention. The development of the Ordinal Priority Approach (OPA) is an essential milestone in this regard that is being used in the current study to evaluate the suppliers of a Chinese healthcare facility. The study confirms that the OPA is convenient and powerful approach that can single-handedly estimate the weights of suppliers, criteria and experts. The results demonstrated the feasibility and validity of the approach for healthcare supplier selection problems.

SISTEM PENILAIAN SUPPLIER MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

The development of the business world in the future, is directed to companies that compete with each other to be the best of the good to meet the demands of the global market in the future. In a competitive system, companies win various methods, such as increasing customer satisfaction through quality products, on-time delivery and cost efficiency. To support this development, PT Glostar Indonesia (GSI) needs a system that can assess 16 suppliers of footwear raw material suppliers with a computerized system, because the system that runs is still using semi-computerized and time-consuming large costs. This research requires a weighted sum method, the Simple Additive Weighting (SAW) method. The basic concept of the SAW method is to find a weighted sum of the performance ratings for each alternative on all attributes and produce conclusions. This study aims to build a supplier rating system using the SAW (Simple Additive Weighting) method to help buyers get the expected data with precise and accurate results. Implement the SAW method in the supplier grading system at PT Glostar Indonesia. Provide reports on the results of the supplier evaluation process to facilitate the analysis of supplier criteria performed. Reducing the level of error in decision making so that it can provide maximum results for the company.

Supplier Selection and Evaluation System of Delphi Method and Analytic Hierarchy Process

In order to solve the problem of selecting and evaluating suppliers by subjective experience and emotional factors. In combination with the actual situation of the enterprise and the plan for the next ten years, an expert group was set up according to multi-attribute, group decision, the basic principles and steps of supplier selection and evaluation, and 4 first-level indicators of quality, cost, delivery time and service and 11 second-level indicators corresponding to each first-level indicator were selected by Delphi method. Analytic hierarchy process was used to determine the weight of each index, and a suitable supplier selection and evaluation system was constructed. This paper improved the current situation of supplier selection and evaluation, which was beneficial to the long-term development of enterprises.

Evaluation and selection of auto spare parts suppliers in supply chain

In order to reduce the cost of automobile manufacturing, it combines with the improved multi-objective analytic hierarchy process (AHP), establishes a supplier evaluation system to make a choice of suppliers. Taking the procurement status of a specific company as an example, the rationality of the choice of parts suppliers is analyzed.

A green supplier evaluation system based on a new multi-criteria sorting method: VIKORSORT

Depleting natural resources and limited amount of landfill areas have forced many governments to impose stricter measures on environmental performance. In order to comply with those measures and to have a better environmental image, companies are investing heavily in environmental, social and economic responsibility issues. Moreover, they continuously track the environmental performance of their suppliers. Many green supplier evaluation and ranking methodologies were proposed in the literature in order to assist companies in the environmental performance evaluation of suppliers. However, the number of studies on the sorting of suppliers based on environmental criteria is very limited. In this study, we fill this research gap by proposing a novel VIKOR-based green supplier sorting methodology called VIKORSORT. This methodology evaluates the environmental performance of suppliers and sorts them into the predefined ordered classes. The proposed methodology can easily be embedded into an expert system which can suggest a suitable green supplier development program for each class.

A Study on Procurement Management of Supplier’s Selection and Evaluation for a Group

A group belongs to the chemical manufacturing industry. This paper will be based on the management status of supplier A group purchasing in supplier management, combined with relevant theoretical knowledge, make a comprehensive analysis of the existing problems, solutions and rational design, to improve the supplier management efficiency, improve supplier quality, ensure the production of material supply, improve the timeliness and accuracy of the company the existing supplier management status. At the same time, help the group to establish a scientific and reasonable supplier evaluation system, with a case study, elaborated on how to evaluate and select the best supplier, and its strategic cooperation, to solve the actual problems for enterprises. Finally, I hope this paper has certain reference value to the related enterprises in the industry.