Relevant bibliographies by topics / Supplier evaluation and selection

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Supplier evaluation and selection'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Supplier evaluation and selection"

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KHORRAMSHAHGOL, REZA. "AN INTEGRATED STRATEGIC APPROACH TO SUPPLIER EVALUATION AND SELECTION." International Journal of Information Technology & Decision Making 11, no. 01 (January 2012): 55–76. http://dx.doi.org/10.1142/s0219622012500034.

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This paper, using goal programming (GP) and the analytic hierarchy process (AHP), proposes an integrated methodology to aid decision makers in (1) evaluating, screening and selecting best suppliers from among an exhaustive list of available suppliers and (2) determining the amount to be purchased from the selected suppliers. Along the supply chain, the suppliers, by being situated at the upstream of the chain, play a crucial role in successful management of the entire (subsequent) members of the chain and can have a significant impact on the efficiency and effectiveness of the activities of the rest of the chain, and ultimately, on the delivery of the desired products/services. Thus supplier selection can certainly contribute greatly to a firm's competitive advantage and its organizational success. This study suggests a screening and evaluation method, named supplier priority index matrix, to eliminate the least qualified suppliers and to choose the most promising ones. The remaining potential suppliers are evaluated and the best are selected from among them. Finally the AHP and GP are used to allocate the firm's total supplies among the chosen/selected suppliers.
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Imeri, Shpend, Khuram Shahzad, Josu Takala, Yang Liu, Ilkka Sillanpää, and Tahir Ali. "Evaluation And Selection Process of Suppliers Through Analytical Framework: An Emprical Evidence of Evaluation Tool." Management and Production Engineering Review 6, no. 3 (September 1, 2015): 10–20. http://dx.doi.org/10.1515/mper-2015-0022.

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AbstractThe supplier selection process is very important to companies as selecting the right suppliers that fit companies strategy needs brings drastic savings. Therefore, this paper seeks to address the key area of supplies evaluation from the supplier review perspective. The purpose was to identify the most important criteria for suppliers’ evaluation and develop evaluation tool based on surveyed criteria. The research was conducted through structured questionnaire and the sample focused on small to medium sized companies (SMEs) in Greece. In total eighty companies participated in the survey answering the full questionnaire which consisted of questions whether these companies utilize some suppliers’ evaluation criteria and what criteria if any is applied. The main statistical instrument used in the study is Principal Component Analysis (PCA). Thus, the research has shown that the main criteria are: the attitude of the vendor towards the customer, supplier delivery time, product quality and price. Conclusions are made on the suitability and usefulness of suppliers’ evaluation criteria and in way they are applied in enterprises.
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Mahmoudifard, Seyed Mehdi, Ramin Shabanpour, Nima Golshani, Kiana Mohammadian, and Abolfazl Mohammadian. "Supplier Evaluation Model in Freight Activity Microsimulation Estimator." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 9 (June 17, 2018): 70–80. http://dx.doi.org/10.1177/0361198118777084.

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The supplier selection process is one of the main components of the Freight Activity Microsimulation Estimator (FAME), which is a disaggregated and comprehensive framework that simulates the freight movements for all industries and all commodities in the U.S. However, the supplier selection and supplier evaluation models in the FAME face computational issues. Using the result of a nationwide establishment survey, this study analyzes the supplier selection problem by evaluating the potential suppliers. The buyer’s behavior on selecting the distance range in which the trade forms is analyzed using both machine-learning and statistical approaches. A decision-tree model and an ordered probit model are estimated and compared to better comprehend the supplier evaluation process. The results indicate that several factors such as the type of the business, commodity type, number of orders, and the value of orders are significant factors. In addition, the decision-tree model is reliable in forecasting the consumer’s behavior.
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Sahu, Anoop Kumar, Saurav Datta, and S. S. Mahapatra. "Evaluation and selection of resilient suppliers in fuzzy environment." Benchmarking: An International Journal 23, no. 3 (April 4, 2016): 651–73. http://dx.doi.org/10.1108/bij-11-2014-0109.

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Purpose – Supply chains (SCs) have become increasingly vulnerable to catastrophic events/disruptions that may be natural or man-made. Hurricanes, tsunamis and floods are natural disasters, whereas man-made disasters may be strikes, terrorist attacks, etc. Failure at any point in the SC network has the potential to cause the entire network to fail. SCs must therefore be properly designed to survive well in the disruption scenario. The capability of successful survival (of the firm’s SC) against those adverse events/happenings is termed as resilience; and, the SC designed under resilience consideration is called a resilient SC. Effective supplier selection is considered as a key strategic consideration in SC management. It is felt that apart from considering traditional suppliers selection criterions, suppliers’ resiliency strategy must be incorporated while selecting a potential supplier which can provide best support to the firm even in the disaster/disruption scenario. The purpose of this paper is to focus aspects of evaluation and selection of resilience supplier by considering general as well as resiliency strategy, simultaneously. Design/methodology/approach – In this work, subjectivity associated with ill-defined (vague) evaluation information has been tackled through logical exploration of fuzzy numbers set theory. Application of VIKOR embedded with fuzzy mathematics has been utilized here. Sensitivity analysis has been performed to reflect the effect of decision-makers’ (DM) risk bearing attitude in selecting the best potential supplier in a resilient SC. A case empirical example has also been presented. Findings – The work attempts to focus on a decision-making procedural hierarchy towards effective supplier selection in a resilient SC. The work exhibits application potential of VIKOR method integrated with fuzzy set theory to select potential supplier based on general strategy as well as resiliency strategy. The final supplier selection score (obtained by considering general strategy) and that of obtained by analyzing resiliency strategy have been combined to get a final compromise solution. The decision-support framework thus reported here also considers DMs’ risk bearing attitude. Practical implications – The study bears significant impact to the industry managers who are trying to adapt resiliency strategy in their SC followed by potential supplier selection in the context of resilient SC. Originality/value – Exploration of VIKOR embedded with fuzzy set theory towards suppliers’ evaluation and selection by considering general and resiliency criteria both. The decision-support module(s) adapted in this paper considers DMs’ risk bearing attitude to arrive the best compromise solution.
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Omosigho, S. E., and Dickson Omorogbe. "Supplier selection using different metric functions." Yugoslav Journal of Operations Research 25, no. 3 (2015): 413–23. http://dx.doi.org/10.2298/yjor130706028o.

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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.
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Zhang, Chenyang, Zhuwu Zhu, Jian Liu, and Ke Zhou. "Supplier Selection in Supply Chain Based on Fuzzy Comprehensive Evaluation Method." E3S Web of Conferences 253 (2021): 03034. http://dx.doi.org/10.1051/e3sconf/202125303034.

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First of all, the type of supplier under the environment of supply chain is presented, and the choice of supplier to consider factors and selection methods, and then based on the analysis of a supplier evaluation index system should follow the four principles on the basis of the proposed a supplier evaluation index system. The thought and method of fuzzy comprehensive evaluation of the evaluation of suppliers are introduced, supplier fuzzy comprehensive evaluation model is established, and the instance is given to test and verify.
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Asgari, Moloud sadat, Abbas Abbasi, and Moslem Alimohamadlou. "Comparison of ANFIS and FAHP-FGP methods for supplier selection." Kybernetes 45, no. 3 (March 7, 2016): 474–89. http://dx.doi.org/10.1108/k-09-2014-0195.

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Purpose – In the contemporary global market, supplier selection represents a crucial process for enhancing firms’ competitiveness. This is a multi-criteria decision-making problem that involves consideration of multiple criteria. Therefore this requires reliable methods to select the best suppliers. The purpose of this paper is to examine and propose appropriate method for selecting suppliers. Design/methodology/approach – ANFIS and fuzzy analytic hierarchy process-fuzzy goal programming (FAHP-FGP) are new methods for evaluating and selecting the best suppliers. These methods are used in this study for evaluating suppliers of dairy industries and the results obtained from methods are compared by performance measures such as Mean Squared Error, Root Mean Squared Error, Normalized Root Men Squared Error, Mean Absolute Error, Normalized Root Men Squared Error, Minimum Absolute Error and R2. Findings – The results indicate that the ANFIS method provides better performance compared to the FAHP-FGP method in terms of the selected suppliers scoring higher in all the performance measures. Practical implications – The proposed method could help companies select the best supplier, by avoiding the influence of personal judgment. Originality/value – This study uses the well-structured method of the fuzzy Delphi in order to determine the supplier evaluation criteria as well as the most recent ANFIS and FAHP-FGP methods for supplier selection. In addition, unlike most other studies, it performs the selection process among all available suppliers.
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Cheshmberah, Mohsen. "Developing an Integrated Framework for Supplier Evaluation based on Relevant Attributes and Performance Measures." Logistics & Sustainable Transport 11, no. 1 (February 1, 2020): 101–13. http://dx.doi.org/10.2478/jlst-2020-0007.

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AbstractSupplier evaluation and selection is essential to any organization, and planning an effective and comprehensive approach to that end seems inevitable. Meanwhile, determining the requisite criteria for evaluating and selecting suppliers is probably one of the most important steps to be taken towards developing an evaluation and selection model in the organization. In this article, first a review of the literature on the criteria and the field of supplier evaluation and selection are provided. These criteria are then placed into proper categories. In order to formulate a supplier evaluation and selection framework for the manufacturing organization under study, the implemented categorization is applied where a list of fifteen attributes and performance criteria is created; where upon it is secured with the help of a designated panel (project team). These features are then screened using Lawshe’s method the “social attribute” is removed from the list of fifteen. The remaining 14 other criteria are configured within the SEAP (Suppliers Evaluation based on Attributes and Performances) framework. The framework follows the objective of continually evaluating suppliers, both potential and actual ones through incorporating their performances into their qualification ratings. Based on the proposed framework, suppliers are evaluated on the basis of two types of criteria, - feature (attribute) and performance.
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Hou, Fang Miao. "Supplier Selection and Evaluation in Environmental Purchase." Advanced Materials Research 479-481 (February 2012): 352–56. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.352.

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Supplier selection and evaluation is an important part of environmental purchase in green supply chains. How to determine suitable suppliers in the supply chain has become a key strategic consideration. Although there are many approaches having been put forward by researchers, however, considering the complex and unstructured nature of these decisions, the paper conducts an analysis on how to select desired suppliers by AHP, followed by a case study in an enterprise in China.
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Adi Wicaksono, Purnawan, I. Nyoman Pujawan, Erwin Widodo, Sutrisno, and Laila Izzatunnisa. "Mixed integer linear programming model for dynamic supplier selection problem considering discounts." MATEC Web of Conferences 154 (2018): 01071. http://dx.doi.org/10.1051/matecconf/201815401071.

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Supplier selection is one of the most important elements in supply chain management. This function involves evaluation of many factors such as, material costs, transportation costs, quality, delays, supplier capacity, storage capacity and others. Each of these factors varies with time, therefore, supplier identified for one period is not necessarily be same for the next period to supply the same product. So, mixed integer linear programming (MILP) was developed to overcome the dynamic supplier selection problem (DSSP). In this paper, a mixed integer linear programming model is built to solve the lot-sizing problem with multiple suppliers, multiple periods, multiple products and quantity discounts. The buyer has to make a decision for some products which will be supplied by some suppliers for some periods cosidering by discount. To validate the MILP model with randomly generated data. The model is solved by Lingo 16.
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Dissertations / Theses on the topic "Supplier evaluation and selection"

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Smeja, Inken, Ulrike Tenschert, and Dirk Przewosnik. "Supplier Selection : A Study of the Supplier Selection Process within the Sporting Goods Manufacturing Industry." Thesis, Växjö University, School of Management and Economics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-857.

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Due to the ongoing globalisation and fast changes within the business environment companies are forced to adapt more quickly to customer needs. Therefore, they depend on reliable suppliers which provide them with the necessary goods and services. As a consequence, finding suitable suppliers is of utmost importance for companies. To be able to choose those suppliers companies need to establish criteria on which basis potential suppliers can be evaluate and select afterwards.

Against this background, this master thesis researches the supplier selection process from the end manufacturer’s point of view. Hereby, the focus is laid on theoretical supplier evaluation criteria and methods. Due to the lack of investigations in this branch of industry the authors have chosen the sporting goods manufacturing industry within Sweden and Austria as their field of study. They have been supported in their research by the companies the Arctic City Counting House AB, the ATOMIC Austria GmbH, and the HEAD Sports AG which provided them with the essential empirical data.

Keeping the above mentioned fact in the back of one’s mind, the authors deduce the following research question:

On which basis and how do manufacturers of sports equipment in Sweden and Austria evaluate and select their suppliers?

Within the theoretical part the reader of this thesis first of all gets an overview of supplier-buyer relationships and afterwards is informed about the structure of the supplier selection process, starting with the preparation step, followed by prequalification and evaluation steps and resulting in the final selection and the continuous controlling of the suppliers. In addition, common criteria which are necessary to evaluate suppliers are presented. Furthermore, the reader is provided with an insight into general evaluation models whereby four common theoretical methods are explained in detail (AHP, TCO, DCA, and DEA). Out of this theoretical data a conceptual model was created.

The empirical part consists of practical information which was provided by the three researched companies mentioned above through questionnaires and interviews. The analysed data concludes that the evaluation criteria which are given in theory are also used in practice. In addition, it was discovered that a further criteria category is applied within the researched companies. The values of the evaluation criteria depend on the goals of the respective company. The theoretical evaluation models on the other hand are not used by the examined sporting goods manufacturers. All of them use their own methods which are presented in the empirical as well as in the analytical part of this thesis. Finally, this thesis ends with a conclusion and with the answer of the research question.

Based on this thesis sporting goods manufacturers get an insight in specific supplier evaluation methods and thus gain the chance to learn how other companies within this industry evaluate and select their suppliers.

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Chen, Jian. "Internet based intelligent supplier selection and evaluation system." Thesis, University of Derby, 2007. http://hdl.handle.net/10545/208798.

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Supplier selection and. evaluation is an important research area which can adopt technologies of information retrieval, artificial intelligence, etc. The current supplier selection processes from the Internet still requires heavy manual activities. To overcome these shortcomings, a new internet based intelligent supplier selection system for supply chain management is going to be investigated in the research project. The project is going to develop such a kind of system for the PC manufacturer. The project firstly is going to develop an automatic web information searching system, and secondly, develop the table identification model to convert the different format tables obtained from the Internet into the standard table format. Then, it is going to investigate an intelligent system to analyze the obtained information from the web page automatically and put the useful information for further processing. And finally, this project will investigate an artificial intelligent method to evaluate the possible suppliers according to the information obtained from the internet search. The experimental works for the table identification model and a modified artificial intelligent model has been demonstrated that both models are powerful methodologies for web based supplier selection and evaluation. ---
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Ozalp, Yesim. "Integration Of Supplier Processes: Supplier Segmentation, Supplier Selection And Order Allocation In A Case Company." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606695/index.pdf.

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This thesis attempts to integrate the three supplier processes- supplier segmentation, supplier selection/evaluation and order allocation- based on a case study of a white goods manufacturer. These processes are dealt with in a hierarchical manner, where the decisions at an earlier stage (supplier segmentation) may affect on the results of later stages (supplier selection/evaluation and order allocation). Based on a wide set of variables gathered from the supplier segmentation literature and from the framework developed by the case company, a factor analysis is performed. The resulting eight factors (complexity and criticality, supply market dynamism, supplier&rsquo
s economic dependence, buyer&rsquo
s supplier dependence, uncertainty, supplier capabilities, supplier&rsquo
s specialization to white goods manufacturer and possibility of harm to user) are used for clustering analysis with the K-means method. Three different clustering schemes (4-clusters, 8-clusters, and 18-clusters) are analyzed to see the effect of number of clusters on the cluster means. A supplier selection model is constructed by the PROMETHEE method as was done in a former study at the same company. Two different scenarios are considered in the supplier selection phase: First, data from the former study are kept as they are. The second scenario considers a change of criteria weights. As a result, the qualified suppliers were found to be the same in both scenarios, but the rankings and net flows, which were inputs to the order allocation model, changed. The effects of these changes were discussed at a conceptual level, due to a lack of case data for the order allocation model.
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Lin, Lujing, Marcel Khalili, and Amer Munawwar. "Supplier Evaluation and Selection Process for Public Procurement in the Swedish Electricity Industry." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-64821.

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Rapidly changing business environment, increasing and fluctuating customer demand, the recent development and employment of technology are crucial reasons for companies to strive for better quality, shorter lead time and lower costs. The supplier evaluation and selection process is an increasingly important activity in the supply chain in order to enhance the company’s competitiveness by reducing the costs and simultaneously maintaining the same quality of products. The focus of this thesis is on the supplier evaluation and selection process for public procurement in Swedish electricity industry. Specifically, the work combines the literature and the empirical findings gathered from the case company Växjö Energy (VEAB) to develop a supplier evaluation and selection process for the public procurement in Swedish electricity industry. It was concluded that the supplier evaluation and selection process for public procurement has basically four steps. The steps are 1. Identifying the needs and the sourcing method; 2. Setting the pre-requirements; 3. Supplier evaluation and 4. Supplier selection. In addition, the developed supplier evaluation tool innovatively combines the advantages of the value-added model with the advantages of AHP model. Moreover, this developed supplier evaluation and selection process would help the public procurement departments in Swedish electricity industry to improve their current practices in selecting the suppliers by highlighting the important steps and developing the evaluation model in a way that enhance its credibility to provide a more precise and reliable results.
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Ladd, Scott E. "SUPPLIER SUSTAINABILITY EVALUATION UTILIZING MULTI ATTRIBUTE UTILITY MODELING." UKnowledge, 2013. http://uknowledge.uky.edu/ms_etds/4.

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Conventionally, the focus during supplier evaluation has been to assess cost, quality and delivery effectiveness due to their impact on profitability. In recent years, there has been increased emphasis on promoting more sustainable business practices that focus on reducing environmental impact and improve societal well-being, in addition to economic benefits. However, most of the existing supplier evaluation methods in literature as well as those used by leading companies fall short of comprehensively assessing suppliers from a Triple Bottom Line (TBL) perspective. TBL defined as holistically looking at the economic, environmental, and societal aspects of an entity. This paper presents a review and selection of metrics for economic, environmental and societal sustainability evaluation. In addition, this work proposes a methodology for combining the scores into a comprehensive score that can be used to compare two entities performance relative to the TBL.
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Alfredsson, Lottie, and Sara Christenson. "Supplier Selection & Quality Expectations : Development of a Simple Supplier Evaluation Tool in a Norwegian Ventilation Systems Company." Thesis, Karlstads universitet, Fakulteten för teknik- och naturvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-32540.

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In today’s competitive market, survival and response to customer needs and expectations are enabled through high-quality products for low costs – quality products provided by suppliers fulfilling today’s quality-requirements for a low price. Companies have until recent years selected suppliers only according to a pricing structure, leaving other criteria’s, such as quality, behind. The purpose of this master thesis is therefore to investigate quality aspects that must be considered from a supplier evaluation perspective and design a simple evaluation tool for first-time supplier selections. Both new and existing suppliers will be tested with the tool according to information given during a case study made at Flexit AS, a Norwegian ventilation-systems company looking to introduce a structured approach for selecting suppliers. Through an extensive literature- and empirical study, where a survey, of which evaluation criteria’s to be included in the evaluation tool, was conducted together with several both semi-structured and unstructured interviews, a foundation for the design of the tool was presented. Quality management systems and quality performance measurements, such as rejection rate and delivery precision, are considered as fundamental aspects to consider when assessing a supplier. Acceptance levels of approval are set according to in-house objectives. If any evaluation tool including quality should be usable, an in-house quality system must therefore first be implemented by the in-house company – a notable improvement recommended to the case company. The design of the tool given from the thesis provides the evaluator with an opportunity to visualize and compare existing suppliers according to five criteria’s including cost, together with an additional spreadsheet for evaluation of new suppliers put forward as a foundation and an indicator if new suppliers are considering quality on a basic level.
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Nekardová, Iva. "Výběr a hodnocení dodavatelů ve stavebnictví." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2019. http://www.nusl.cz/ntk/nusl-392311.

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This diploma thesis deals with the selection and evaluation of suppliers in the construction industry. It is divided into a theoretical and a practical part. The theoretical part focuses on corporate purchasing, supplier selection and supplier evaluation and describes the methods that solve this problem. In the practical part, the theoretical knowledge is transferred into practice. There is a questionnaire responded to by the construction companies. Based on the results of the questionnaire, four hypotheses are compiled and tested. Three managed interviews with construction company employees are also recorded. The last part is a case study. It addresses the design of the system for the selection and evaluation of suppliers in a particular construction company.
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Bank, Jakob, Emma Sjödoff, and Helena Zebergs. "Conscious purchasing : Securing the purchasing process in the apparel industry." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35012.

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Title: Conscious purchasing - Securing the purchasing process in the apparel industry Authors: Jakob Bank, Emma Sjödoff and Helena Zebergs Tutor: Roger Stokkedal Examiner: Helena Forslund Background: There has been several scandals within the apparel industry and due to this brand owners of apparel companies has started to offer their customers’ alternative products, which has been manufactured in a more conscious and sustainable way. The purchasing process has thereby become more complex including multiple criteria such as social and environmental considerations which have to be fulfilled by their suppliers. Purpose: To describe how Swedish brand owners of apparel companies select their supplier for their conscious collections, which sustainability policies they include in contracts with their selected suppliers and how they evaluate these suppliers in regard to the brand owners’ policy on sustainability. Method: This thesis was conducted using qualitative semi-structured interviews and a deductive approach. Several sampling methods was used which led to the involved companies who were interviewed through both structured as well as semi-structured interviews. Conclusion: Swedish brand owners of apparel companies select their suppliers based on how well they fulfil their demands, and if there is a possibility to establish a long term relationship. They include different sustainability policies in their contracts, but all suppliers need to approve the brand owners CoC as well as use organic cotton. The evaluation visits are conducted, but the evaluation responsible, how often it takes place and the duration of the visit depends on the brand owner.
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Scott, Marc Angus. "Developing Input to “Best-Value” Vehicle Procurement Practice: An Analysis of Supplier Evaluation and Selection in the U.S. Public Transportation Industry." Diss., North Dakota State University, 2011. https://hdl.handle.net/10365/29321.

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Collectively, US public transportation systems operated 137,047 vehicles per peak period in 2008 (American Public Transportation Association 2010). Buses accounted for the largest segment among these vehicles, and the passenger van segment was second. Together, they accounted for 78% of the vehicles operated per peak period (American Public Transportation Association 2010). Due to their pervasive use in the public transportation industry, buses and vans have been the focus in various academic research studies. However, very few studies have focused on vehicle procurement. Further, none have focused on the specific vehicle procurement function of supplier evaluation and selection. The over-arching objective of this research is to gain a deeper understanding of the relative importance of vehicle supplier attributes in reference to the Federal Transit Administration's (FTA) “best-value” procurement initiative and the influence of these attributes on the evaluation and selction of bus and van suppliers. This research studies vehicle procurement decision-makers at public transportation agencies to determine which supplier attributes they perceive to be the most important when evaluating vehicle suppliers. Results indicate that the top five supplier attributes were quality, reliability, after-sales support, warranties and claims, and integrity. The order of these top five attributes changed according to the type of supplier being evaluated, i.e., conventional fuel vehicle supplier versus alternative fuel vehicle supplier. The reason for this change was explained as being due to the increased engineering and technological expertise required of alternative fuel vehicle suppliers. Utilizing Analysis of Covariance (ANCOVA), the research showed that the variation in the perception of the importance of particular supplier attributes was not generally influenced by an agency's urban classification, its vehicle fleet size, its capital expenditure level, its decision-makers' education level, or their years of experience. However, FTA region was determined to have an influence on two attributes. Utilizing a conditional logit discrete choice model, the research also found that in practice price and not quality had the highest parameter estimate and was therefore deemed most important. It was followed by quality, after-sales support, technical capability, and delivery. Further, to garner a deeper understanding of attributes' relative importance, participants in the research identified 41 attribute components and provided metrics by which to measure these components and, by extension, the attributes. This research contributes in four areas. These are government procurement initiatives, agency “best-value” procurement practice, vehicle supplier marketing, and academic research in supplier evaluation and selection in the public transportation industry.
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Furusköld, Jenny, and Emma Hall. "Profitable negotiations : A case study regarding purchase-, transport- and inventory costs at ABB." Thesis, Linköpings universitet, Industriell ekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129018.

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ABB is a global company with a leading position in power and automation technologies. Being active on a global market creates a high pressure to always develop the business and reduce costs in order to stay competitive. The purchasing function at ABB ́s unit Control Products is divided into a strategic- and an operative purchase department. The negotiated setups the strategic purchasers establish with the suppliers have been shown to affect the transport- and inventory costs that are charged to the operative purchase department. In order to determine whether more beneficial setups could be negotiated by including transport- and inventory costs when they are evaluated, this case study has been requested. Two master students from Linköping University have conducted the study and by investigating different setups, conclusions to answer the study ́s purpose could be drawn. The purpose is presented below. The study’s purpose is to recommend future guidelines for the strategic purchasers at ABB’s unit Control Products that can be applied when negotiating with suppliers, by evaluating purchase-, transport- and inventory costs. In order to investigate how the purchase-, transport- and inventory costs were affected by different setups, four different cases were defined. Each case included a specific article, which was chosen based on its properties and its current and alternative setups. The conducted literature reviews and interviews with employees at Control Products resulted in the two sub- criteria lead time and net price were defined as the most important ones when negotiating and evaluating suppliers. A combination of these sub-criteria was therefore used to choose suitable articles. Once the cases had been defined, the purchase-, transport- and inventory costs could be calculated for both their current situation and alternative setup scenarios. Theories from relevant researches were used to strengthen and criticised the cases’ results. Each case's result provided information regarding how the purchase-, transport- and inventory costs were affected by specific setups. By comparing the alternative scenarios with the setup currently used, the alternatives ́ profitability could be determined. The cases showed that by only studying one of the three cost posts, only a limited insight was gained. Even if the purchase cost was to increase for an alternative setup, it could still be profitable to implement due to decreased transport- and inventory costs. Furthermore, an alternative setup that showed significant potential to reduce inventory costs was proven to not be profitable because of its effect on the net price. Neglecting to take transport- and inventory costs into account when a potential supplier is evaluated can make a deal look more profitable than it is. The final recommendation is that purchase-, transport- and inventory costs all have to be taken into consideration in order to determine which setups that are economically preferable. If the strategic purchasers at Control Products includes these when they negotiate with suppliers, more profitable deals can be obtained.

Examensarbetet är en förvrängd version då känslig information om ABB inte ska läcka ut.

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Books on the topic "Supplier evaluation and selection"

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Liu, Hu-Chen, and Xiao-Yue You. Green Supplier Evaluation and Selection: Models, Methods and Applications. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0382-2.

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McGuire, Michael. Food additives and ingredients: An investigation of supplier selection and evaluation procedures. Dublin: University College Dublin, 1990.

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Wadding, Patrick M. Supplier selection and evaluation models and their use in the Irish pharmaceutical industry. Dublin: University College Dublin, 1993.

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Supplier selection. West Palm Beach, FL: PT Publications, 1998.

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Mukherjee, Krishnendu. Supplier Selection. New Delhi: Springer India, 2017. http://dx.doi.org/10.1007/978-81-322-3700-6.

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Henson, Holly. Book selection services provided by library suppliers to public libraries: An identification, evaluation and discussion of future developments. Birmingham: University of Central England in Birmingham, 2000.

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Supplier selection and improvement. Reading, Mass: Addison-Wesley Pub., 1992.

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Barker, Ted. Supplier appraisal: A technique to aid selection of suppliers. Stamford: Institute of Purchasing and Supply, 1989.

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George, Harris. Managing supplier performance: Measurement, quality improvement, and certification. [New York, N.Y.?]: American Management Association, 1997.

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Johnson, R. Stafford. Bond Evaluation, Selection, and Management. New York: John Wiley & Sons, Ltd., 2009.

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Book chapters on the topic "Supplier evaluation and selection"

1

Liu, Hu-Chen, and Xiao-Yue You. "Green Supplier Evaluation and Selection: A Literature Review." In Green Supplier Evaluation and Selection: Models, Methods and Applications, 13–65. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0382-2_2.

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Xiang, Jie. "Green Supply Chain and Supplier Selection and Evaluation." In Lecture Notes in Electrical Engineering, 523–30. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4853-1_65.

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Kartsonakis, Stratos, Evangelos Grigoroudis, and Michalis Neofytou. "Supplier Selection and Evaluation Using Multicriteria Decision Analysis." In Innovative Approaches and Applications for Sustainable Rural Development, 187–204. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02312-6_11.

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Amindoust, Atefeh, and Ali Saghafinia. "Supplier Evaluation and Selection Using a FDEA Model." In Performance Measurement with Fuzzy Data Envelopment Analysis, 255–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41372-8_13.

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Wang, Jinting. "Supplier Evaluation and Selection Based on BP Neural Network." In Application of Intelligent Systems in Multi-modal Information Analytics, 627–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51431-0_90.

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Jemaa, Syrine, Ahmed Alayidi, Athanasios Migdalas, George Baourakis, and Periklis Drakos. "Green Supplier Evaluation and Selection: An Updated Literature Review." In Operational Research in Agriculture and Tourism, 169–96. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38766-2_9.

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Liu, Hu-Chen, and Xiao-Yue You. "GSES Using Interval 2-Tuple Linguistic Distance Operators." In Green Supplier Evaluation and Selection: Models, Methods and Applications, 111–32. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0382-2_5.

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Liu, Hu-Chen, and Xiao-Yue You. "GSES Using Interval 2-Tuple Linguistic VIKOR Method." In Green Supplier Evaluation and Selection: Models, Methods and Applications, 133–51. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0382-2_6.

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Liu, Hu-Chen, and Xiao-Yue You. "Green Supply Chain Management." In Green Supplier Evaluation and Selection: Models, Methods and Applications, 1–11. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0382-2_1.

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Liu, Hu-Chen, and Xiao-Yue You. "GSES Based on Intuitionistic Fuzzy VIKOR Method." In Green Supplier Evaluation and Selection: Models, Methods and Applications, 67–85. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0382-2_3.

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Conference papers on the topic "Supplier evaluation and selection"

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Shohaimay, Fairuz, Nazirah Ramli, and Siti Rosiah Mohamed. "Fuzzy evaluation in IT supplier selection." In 2012 IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE). IEEE, 2012. http://dx.doi.org/10.1109/iscaie.2012.6482076.

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Sun, Yan, Jiaming Zhang, Xuemei Jiang, Xiaomei Zhang, and Ping Lou. "A reputation evaluation method for supplier selection." In 2016 13th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2016. http://dx.doi.org/10.1109/icsssm.2016.7538561.

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Qiu, Xiaofeng, Lei Cao, Pengfei Li, and Liang Zhao. "A Trust Evaluation Method for Supplier Selection." In 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2013. http://dx.doi.org/10.1109/trustcom.2013.182.

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Viana, J. C., and L. H. Alencar. "An exploratory study of supplier selection and evaluation techniques." In EM 2011). IEEE, 2011. http://dx.doi.org/10.1109/icieem.2011.6035432.

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Wang, Xiaobin, and Yuanyuan Pan. "Research On Supplier Evaluation And Selection Of Green Procurement." In International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014). Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/lemcs-14.2014.83.

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Wu, JiaJu, CuiFang Zheng, JiLan Zhang, and ChuanYu Xi. "The Study on Neural Network-Based Supplier Selection and Evaluation." In 2010 Third International Conference on Information and Computing Science (ICIC). IEEE, 2010. http://dx.doi.org/10.1109/icic.2010.14.

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Zhao, Chunyu. "Evaluation Model for Alliance Supplier Selection Based on Knowledge Harmony." In 2009 International Conference on Electronic Commerce and Business Intelligence, ECBI. IEEE, 2009. http://dx.doi.org/10.1109/ecbi.2009.92.

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Wang, Xuejun, and Hao Jing. "Dynamic Combined Evaluation Method and its Application in Supplier Selection." In 2007 IEEE International Conference on Automation and Logistics. IEEE, 2007. http://dx.doi.org/10.1109/ical.2007.4338667.

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Mian, Wang. "Comprehensive evaluation and selection model of supplier under e-business." In 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE). IEEE, 2011. http://dx.doi.org/10.1109/urke.2011.6007811.

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Um, Wan Sup. "Supplier Evaluation and Selection Using AHP Method and Uncertainty Theory." In The 2nd World Congress on Mechanical, Chemical, and Material Engineering. Avestia Publishing, 2016. http://dx.doi.org/10.11159/icmie16.101.

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Reports on the topic "Supplier evaluation and selection"

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Barbour, Rick. Software Capability Evaluation, Version 3.0. Implementation Guide for Supplier Selection. Fort Belvoir, VA: Defense Technical Information Center, April 1996. http://dx.doi.org/10.21236/ada315789.

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Barbour, Rick, and Tom Bernard. SCAMPI V1.1 Use in Supplier Selection and Contract Process Monitoring. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada401712.

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Carney, David, Harvey Greenawalt, George Grigonis, and Patricia Oberndorf. Case Study: Computer Supplier Evaluation Practices of the Parenteral Drug Association (PDA). Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada416880.

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Knipper, Michael E. Determining the Value of Automation in Commercial and USAF Supplier Evaluation Systems. Fort Belvoir, VA: Defense Technical Information Center, March 2003. http://dx.doi.org/10.21236/ada415062.

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Allcott, Hunt. Site Selection Bias in Program Evaluation. Cambridge, MA: National Bureau of Economic Research, September 2012. http://dx.doi.org/10.3386/w18373.

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Weiss, Howard M., Maryalice Citera, and Laura Finfer. Evaluation of an Army Recruiter Selection Program. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada210569.

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Hibbard, Carol, and Theresa O'Brien. The Source Selection Evaluation Decision Support System. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada275676.

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Christon, Christopher M. Clinical Practice Guideline Selection, Development, Implementation, and Evaluation. Fort Belvoir, VA: Defense Technical Information Center, February 2000. http://dx.doi.org/10.21236/ada408245.

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Donmez, Birsen, and M. L. Cummings. Metric Selection for Evaluation of Human Supervisory Control Systems. Fort Belvoir, VA: Defense Technical Information Center, December 2009. http://dx.doi.org/10.21236/ada530918.

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Weiderman, Nelson H. Ada Adoption Handbook: Compiler Evaluation and Selection. Version 1.0. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada207717.

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