Relevant bibliographies by topics / Supplier Segmentation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Supplier Segmentation'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Supplier Segmentation"

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Bai, Chunguang, Jafar Rezaei, and Joseph Sarkis. "Multicriteria Green Supplier Segmentation." IEEE Transactions on Engineering Management 64, no. 4 (November 2017): 515–28. http://dx.doi.org/10.1109/tem.2017.2723639.

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Hong, Jung-sik, Hyeongyu Yeo, Nam-Wook Cho, and Taeuk Ahn. "Identification of Core Suppliers Based on E-Invoice Data Using Supervised Machine Learning." Journal of Risk and Financial Management 11, no. 4 (October 26, 2018): 70. http://dx.doi.org/10.3390/jrfm11040070.

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Since not all suppliers are to be managed in the same way, a purchasing strategy requires proper supplier segmentation so that the most suitable strategies can be used for different segments. Most existing methods for supplier segmentation, however, either depend on subjective judgements or require significant efforts. To overcome the limitations, this paper proposes a novel approach for supplier segmentation. The objective of this paper is to develop an automated and effective way to identify core suppliers, whose profit impact on a buyer is significant. To achieve this objective, the application of a supervised machine learning technique, Random Forests (RF), to e-invoice data is proposed. To validate the effectiveness, the proposed method has been applied to real e-invoice data obtained from an automobile parts manufacturer. Results of high accuracy and the area under the curve (AUC) attest to the applicability of our approach. Our method is envisioned to be of value for automating the identification of core suppliers. The main benefits of the proposed approach include the enhanced efficiency of supplier segmentation procedures. Besides, by utilizing a machine learning method to e-invoice data, our method results in more reliable segmentation in terms of selecting and weighting variables.
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Pulles, Niels J., Jasper Veldman, and Holger Schiele. "Winning the competition for supplier resources." International Journal of Operations & Production Management 36, no. 11 (November 7, 2016): 1458–81. http://dx.doi.org/10.1108/ijopm-03-2014-0125.

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Purpose This paper examines the competition between buying firms for the supplier’s competitive resources. The purpose of this paper is to examine how indirect capabilities – the ability to access external resources – can help in obtaining preferential resource allocation from suppliers. Design/methodology/approach Partial least squares structural equation modeling is used to analyze data of 163 buying firms that assess preferential resource allocation from suppliers. Findings Two indirect capabilities (a buying firm’s selection capability and relational capability) positively influence the firm’s competitive advantage. These relations are significantly mediated by preferential resource allocation of suppliers. The impact of preferential resource allocation appeared stronger for manufacturing firms than for service firms. Research limitations/implications This study’s data set represents the buyer’s assessment of suppliers’ resource allocation. Future research should aim for dyadic data for further validation. In addition, due to sample size limitations, this study’s data does not allow sector segmentation. A larger study that provides insights into segmentation is suggested for future research. Practical implications The results inform managers about the relevance of the competition for supplier resources with rival firms that share suppliers, and the influence of this competition on firm competitiveness. Managers should not only focus on the supplier itself, but also on the capabilities of the supply chain management (SCM) function to recognize and integrate the supplier resources. Originality/value This study adds to the extended resource-based view literature by integrating the notion of supplier resource competition. In addition, the study shows the importance of indirect capabilities for obtaining preferential resource allocation from suppliers. Finally, the authors show the importance of separating between service and manufacturing when examining SCM practices.
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Rezaei, Jafar, and Roland Ortt. "Supplier segmentation using fuzzy logic." Industrial Marketing Management 42, no. 4 (May 2013): 507–17. http://dx.doi.org/10.1016/j.indmarman.2013.03.003.

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Rezaei, Jafar, Jing Wang, and Lori Tavasszy. "Linking supplier development to supplier segmentation using Best Worst Method." Expert Systems with Applications 42, no. 23 (December 2015): 9152–64. http://dx.doi.org/10.1016/j.eswa.2015.07.073.

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Svensson, Göran. "Supplier segmentation in the automotive industry." International Journal of Physical Distribution & Logistics Management 34, no. 1 (January 2004): 12–38. http://dx.doi.org/10.1108/09600030410515664.

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Rezaei, Jafar, and Roland Ortt. "A multi-variable approach to supplier segmentation." International Journal of Production Research 50, no. 16 (August 15, 2012): 4593–611. http://dx.doi.org/10.1080/00207543.2011.615352.

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Akhavan, Peyman, Ali Shahabipour, and Reza Hosnavi. "How supplier knowledge impacts on organizational capabilities and willingness." VINE Journal of Information and Knowledge Management Systems 48, no. 1 (February 12, 2018): 140–58. http://dx.doi.org/10.1108/vjikms-08-2016-0042.

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Purpose The purpose of this paper is to conduct a survey on the knowledge for supplier correlation with their capabilities and willingness as segmentation criteria. There are many contexts for sharing knowledge. What are more beneficial contexts? Design/methodology/approach After developing the research hypothesis, a structured questionnaire was adopted to gather primary data from suppliers. The draft questionnaire was sent to five academic and industry experts to comment on the content. Received feedback was used to change the layout of the questionnaire. Instead of the traditional partial least squares, the state-of- art consistent partial least square technique was put into practice. Findings By definition, knowledge for supplier has a large impact on supplier capabilities. The Important-Performance Matrix Analysis (IPMA) prioritizes the indicators and suggests to focus on knowledge sharing about manufacturing processes, development expertise and marketing expertise. Results showed that supplier willingness for sharing confidential knowledge and longtime relationship depends on development programs. Practical implications Having a communication mechanism for each of the partnerships’ specific contexts was suggested to maximize the knowledge flow. Originality/value For maximizing the knowledge flow and studying the effect on the segmentation criteria such as capability and willingness, the main contribution of the paper is to survey the supplier knowledge in depth. The IPMA was implemented to highlight the indicators.
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Rius-Sorolla, Gregorio, Sofía Estelles-Miguel, and Carlos Rueda-Armengot. "Multivariable Supplier Segmentation in Sustainable Supply Chain Management." Sustainability 12, no. 11 (June 3, 2020): 4556. http://dx.doi.org/10.3390/su12114556.

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Pressure from stakeholders for sustainable development is forcing top management to reconsider its supply chain management. This form of sustainability must consider the risks, insecurities, and lack of proximity caused by any event on the global economy. Organizations must identify and manage the risks of every link in the chain, while pursuing sustainable development. Corporate social responsibility (CSR) and sustainable development must be the result of a deliberate and coordinated response by the entire organization. A suitable segmentation of suppliers allows development strategies to be prioritized. This article presents the steps that should be followed in supply chain management, the identification of risks, and the new leadership of purchasing management to develop a sustainable supply chain. To this end, some of the key industrial actions reported in the literature are outlined, and two case studies are presented to identify the steps for the segmentation and dynamic development of suppliers. This article provides reflections on the responsibilities of senior management in the new era of sustainable development and presents guidance on how to coordinate sustainable development in the supply chain.
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Valipour Parkouhi, Sahar, Abdolhamid Safaei Ghadikolaei, and Hamidreza Fallah Lajimi. "Resilient supplier selection and segmentation in grey environment." Journal of Cleaner Production 207 (January 2019): 1123–37. http://dx.doi.org/10.1016/j.jclepro.2018.10.007.

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Dissertations / Theses on the topic "Supplier Segmentation"

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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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BJÖRK, JESSICA, and HANNA HEDIN. "The management of supplier relationships for medium sized retail companies: a three-dimensionalsegmentation model." Thesis, KTH, Industriell Management, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189500.

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Companies have limited human, financial and technical resources, which makes it crucial toallocate them in an efficient way in order to stay competitive in today's market. One way of doing this is to classify a company's suppliers into different categories, and differentiate the management of each supplier category. Previous studies within the field mostly focus on larger, manufacturing companies, and there is a lack of segmentation models suitable for retail firms. Further, existing literature on supplier relationship management fail on giving concrete actions on how to manage different types of suppliers. This study addresses this by extending the literature on supplier segmentation and supplier relationship management in the context of a medium sized retail company offering a diversified product portfolio. The study was performed as a case study on a Nordic retail company that produced both private label products and brand named products, where this study focused on its private label suppliers. The purpose of the study was to develop a supplier segmentation model for guidance in managing supplier relationships for retail companies with diversified product portfolios, and this was met by collecting both qualitative and quantitative data through interviews, workshops, structured questions and archival data. The main findings were a number of identified characteristics of the supplier base of the case company and the determination of different types of buyer-supplier relationships. This ultimately culminated into the empirical contributions of 1) a developed supplier segmentation model suitable for medium sized retail companies offering a diversified product portfolio, and 2) recommended actions on how to manage suppliers, corresponding to each segment in the model.
Företag har begränsade resurser vad gäller finansiellt, tekniskt och humant kapital, vilket gör det ytterst viktigt att fördela sina resurser på ett så effektivt sätt som möjligt för att hålla sig konkurrenskraftiga. Ett sätt att göra detta är att klassificera sina leverantörer i olika kategorier, samt differentiera hur varje kategori ska hanteras. Tidigare studier inom ämnet har mestadels fokuserat på större tillverkningsindustriföretag, och det saknas segmenteringsmodeller som är anpassade för retailföretag. Vidare är befintlig litteratur på supplier relationship management knapphändig i att ge konkreta rekommendationer för hur olika typer av leverantörer ska hanteras. Den här studien adresserar detta genom att utvidga litteraturen på supplier segmentation och supplier relationship management i kontexten av ett mellanstort retailföretag med en diversifierad produktportfölj. Studien genomfördes som en case-studie på ett nordiskt retailföretag som sålde både märkesprodukter och egna märkesvaror, där den här studien endast berörde leverantörer för egna märkesvaror. Syftet med studien var att utveckla ett övergripande ramverk för guidning av hur leverantörsrelationer i retailföretag med diversifierade produktportföljer ska hanteras, och detta uppfylldes genom att samla både kvalitativ och kvantitativ data genom intervjuer, strukturerade frågor, workshops samt arkivdata. De huvudsakliga resultaten var ett antal identifierade egenskaper hos leverantörsbasen av caseföretaget och en bestämd uppdelning av olika leverantörsrelationer. Detta mynnade tillslut ut i två empiriska bidrag i form av 1) en utvecklad leverantörssegmenteringsmodell för medelstora retailföretag som erbjuder en diversifierad produktportfölj, samt 2) rekommenderade handlingar för hur olika leverantörer ska hanteras, som svarar till varje segment i modellen.
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Stålbrand, Fredrik. "Supplier Relationship Management in Intelbras Improving quality through buyer-supplier cooperation Fredrik." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17501.

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Competitive forces in today‟s business world are putting firms under pressure to improve quality, delivery performance, and responsiveness while simultaneously reducing cost, which for many companies have resulted in increased outsourcing of activities. Consequently a greater dependency on suppliers‟ performance in terms of quality and delivery service has evolved.Companies are therefore exploring ways to leverage their supply chains, by developing their supply chain structure and continually evaluating the role of suppliers in their activities. As supply chains have evolved, a number of different supply chain structures have emerged, based upon the networks and the level of collaboration between the buyer and supplier. The optimization of a supply chain process has proven to lead inevitably to a growing interdependence among supply chain partners. Treating all suppliers the same is no longer feasible, and a failure to recognize that some suppliers have different needs than others.The research conducted in this thesis was aimed at finding strategies, and approaches of effectively working with supplier relationship management.The empirical study was conducted at Intelbras, a Brazilian electronics manufacturer, which has a large percent of its production outsourced. Intelbras has recently segmented their supply-base into two segments; suppliers of commodity type items and suppliers of critical items. For suppliers of critical items, quality agreements were developed to attend the special needs of selected items.The findings of the research was compared and analyzed with the empirical data, which resulted in a few suggestions of possible future developments for Intelbras.Keywords: Supplier Relationship Management, Strategic Segmentation, Total Cost of Ownership, Buyer-Supplier Cooperation, Quality Agreement
Program: Industriell ekonomi - affärsingenjör
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Brown, Adam J. "DEVELOPMENT OF A SUPPLIER SEGMENTATION METHOD FOR INCREASED RESILIENCE AND ROBUSTNESS: A STUDY USING AGENT BASED MODELING AND SIMULATION." UKnowledge, 2017. http://uknowledge.uky.edu/me_etds/100.

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Supply chain management is a complex process requiring the coordination of numerous decisions in the attempt to balance often-conflicting objectives such as quality, cost, and on-time delivery. To meet these and other objectives, a focal company must develop organized systems for establishing and managing its supplier relationships. A reliable, decision-support tool is needed for selecting the best procurement strategy for each supplier, given knowledge of the existing sourcing environment. Supplier segmentation is a well-established and resource-efficient tool used to identify procurement strategies for groups of suppliers with similar characteristics. However, the existing methods of segmentation generally select strategies that optimize performance during normal operating conditions, and do not explicitly consider the effects of the chosen strategy on the supply chain’s ability to respond to disruption. As a supply chain expands in complexity and scale, its exposure to sources of major disruption like natural disasters, labor strikes, and changing government regulations also increases. With increased exposure to disruption, it becomes necessary for supply chains to build in resilience and robustness in the attempt to guard against these types of events. This work argues that the potential impacts of disruption should be considered during the establishment of day-to-day procurement strategy, and not solely in the development of posterior action plans. In this work, a case study of a laser printer supply chain is used as a context for studying the effects of different supplier segmentation methods. The system is examined using agent-based modeling and simulation with the objective of measuring disruption impact, given a set of initial conditions. Through insights gained in examination of the results, this work seeks to derive a set of improved rules for segmentation procedure whereby the best strategy for resilience and robustness for any supplier can be identified given a set of the observable supplier characteristics.
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Lönnberg, Oscar, and Alice Hägnander. "Underhåll och förbättring av leverantörsrelationer : En fallstudie på ett speditörföretag." Thesis, Tekniska Högskolan, Jönköping University, JTH, Logistik och verksamhetsledning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49964.

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Syfte – En förstudie på fallföretaget identifierade ett problem som ledde till att syftet och frågeställningarna formulerades. Studien syfte innebär att undersöka hur underhåll av en leverantörsrelation kan påverka ett speditörföretag. För att svara på studiens syfte har det brutits ner i två frågeställningar: Hur arbetar ett speditörföretag med sina leverantörsrelationer? Vilka är möjligheterna till att förbättra en leverantörsrelation? Metod – Studien är genomförd som en fallstudie med enfallsdesign. Empiri är insamlat med intervjuer, dokumentstudier och litteraturstudier. Litteraturstudien utgör grunden för studiens teoretiska ramverk som innehåller teorier inom leverantörssegmentering, interaktionsmodellen, Customer Relationship Management (CRM) och Key Account Management (KAM). Resultat – Studiens resultat innefattar att underhåll av leverantörsrelationer med hjälp av leverantörssegmentering, interaktionsmodellen, Customer Relationship Management (CRM) och Key Account Management (KAM) på ett fördelaktigt sätt bidrar till ett bra underhåll av leverantörsrelationer och förbättringsmöjligheter till tätare relationer. Implikationer – Med hjälp av befintliga teorier inom relationshantering bidrar studien med att underhålla och förbättra leverantörsrelationer. Studien riktar sig emot ett mindre utforskat område för transport- och speditörföretags underhåll och förbättringar av leverantörsrelationer. Begränsningar – Studien är utförd enbart på ett speditörföretag vilket begränsar studiens generaliserbarhet vilket påverkar studiens resultat. Studien har inte tagit hänsyn till kostnader för implementering för förbättringsåtgärder i arbete för bättre relationer samt att leverantörens synvinkel inte är undersökt.
Purpose – A pilot study at the case company identified a problem that lead to the purpose and research questions. The purpose of this study is to investigate how maintenance of a supplier relationship can affect a forwarder company. To answer the study's purpose, it has been broken down into two research questions: How does a freight forwarding company work with its supplier relationships? What are the opportunities to improve a supplier relationship? Method - The study is conducted as a case study with one-case design. Data is collected with interviews, document studies and literature studies. With the literature study, the basis for the study's theoretical framework contains theories in supplier segmentation, the interaction model, Customer Relationship Management (CRM) and Key Account Management (KAM). Results - The study's results include that maintenance of supplier relationships by means of supplier segmentation, the interaction model, Customer Relationship Management (CRM) and Key Account Management (KAM) in a beneficial way contributes to good maintenance of supplier relationships and improvement opportunities for closer relationships. Implications - Using existing relationship management theories, the study helps to maintain and improve supplier relationships. The study targets a less explored area for transport and freight forwarding companies' maintenance and improvements in supplier relationships. Limitations - The study is conducted only at one freight forwarding company which limits the generalizability of the study which affects the study's results. The study has not taken into account the costs of implementation for improvement measures in work for better relationships and that the supplier's point of view has not been examined.
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Chu, Wujin, Jeffrey Dyer, and Dong Sung Cho. "Strategic Supplier Segmentation: The Next "Best Practice" In Supply Chain Management." 2002. http://hdl.handle.net/1721.1/1470.

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Bukola, Taiwo Tunmike. "Colour image segmentation using perceptual colour difference saliency algorithm." Thesis, 2017. http://hdl.handle.net/10321/2931.

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Submitted in fulfillment of the requirements for the Master's Degree in Information and Communication Technology, Durban, University of Technology, Durban, South Africa, 2017.
The topic of colour image segmentation has been and still is a hot issue in areas such as computer vision and image processing because of its wide range of practical applications. The urge has led to the development of numerous colour image segmentation algorithms to extract salient objects from colour images. However, because of the diverse imaging conditions in varying application domains, accuracy and robustness of several state-of-the-art colour image segmentation algorithms still leave room for further improvement. This dissertation reports on the development of a new image segmentation algorithm based on perceptual colour difference saliency along with binary morphological operations. The algorithm consists of four essential processing stages which are colour image transformation, luminance image enhancement, salient pixel computation and image artefact filtering. The input RGB colour image is first transformed into the CIE L*a*b colour image to achieve perceptual saliency and obtain the best possible calibration of the transformation model. The luminance channel of the transformed colour image is then enhanced using an adaptive gamma correction function to alleviate the adverse effects of illumination variation, low contrast and improve the image quality significantly. The salient objects in the input colour image are then determined by calculating saliency at each pixel in order to preserve spatial information. The computed saliency map is then filtered using the morphological operations to eliminate undesired factors that are likely present in the colour image. A series of experiments was performed to evaluate the effectiveness of the new perceptual colour difference saliency algorithm for colour image segmentation. This was accomplished by testing the algorithm on a large set of a hundred and ninety images acquired from four distinct publicly available benchmarks corporal. The accuracy of the developed colour image segmentation algorithm was quantified using four widely used statistical evaluation metrics in terms of precision, F-measure, error and Dice. Promising results were obtained despite the fact that the experimental images were selected from four different corporal and in varying imaging conditions. The results have indeed demonstrated that the performance of the newly developed colour image segmentation algorithm is consistent with an improved performance compared to a number of other saliency and non- saliency state-of-the-art image segmentation algorithms.
M
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Books on the topic "Supplier Segmentation"

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Group, Marigny Research. The U.S. infant, toddler, and preschool market. New York, N.Y: Kalorama Information, 2000.

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Chandra, Saurabh, ed. SOCRATES (Vol 2, No 2 (2014): ISSUE - JUNE). 2nd ed. India: SOCRATES : SCHOLARLY RESEARCH JOURNAL, 2014.

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Book chapters on the topic "Supplier Segmentation"

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Hofmann, Erik, Patrick Beck, and Erik Füger. "CM3: Supplier Segmentation and Supply Strategy." In The Supply Chain Differentiation Guide, 107–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31936-5_5.

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Lajimi, Hamidreza Fallah. "Sustainable Supplier Segmentation: A Practical Procedure." In Strategic Decision Making for Sustainable Management of Industrial Networks, 119–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55385-2_7.

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Rezaei, Jafar, and J. Roland Ortt. "Two Multi-criteria Approaches to Supplier Segmentation." In Advances in Production Management Systems. Value Networks: Innovation, Technologies, and Management, 317–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33980-6_36.

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Pereira, Laion Xavier, Eduardo Alves Portela Santos, and Eduardo de Freitas Rocha Loures. "Analysis of Interoperability Attributes for Supplier Selection in Supply Chain Segmentation Strategy." In Advances in Intelligent Systems and Computing, 92–102. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77703-0_9.

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Arshed, Norin, and Jaydeep Pancholi. "Porters Five Forces and Generic Strategies." In Enterprise and its Business Environment. Goodfellow Publishers, 2016. http://dx.doi.org/10.23912/978-1-910158-78-4-2922.

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Competition is what keeps organizations and industries alive. Harvard Business School Professor, Michael Porter, was keen to understand the drivers of success in commercial organizations. His research indicated that industry structure mattered more than individual firm behaviour and his Five Forces model (1979) offers his explanation of the sources of competition at industry level. The model is based on the theory of determining the competitive intensity and attractiveness of a market. The five forces within the model include: competitive rivalry, threat of new entry, supplier power, buyer power, and threat of substitution. The model has been widely used by firms to analyse the external environment and specific external forces like competition, government policies, and social and cultural forces (Vining, 2011). Furthermore, to overcome such fierce competition created by the Five Forces model, and to ensure successful survival, Porter (1985) also introduced competitive strategies to gain a competitive advantage. By combining price and market type, Porter suggests these competitive strategies: cost leadership, differentiation, and market segmentation (or focus) to enable a competitive environment to prosper. This chapter concentrates on establishing and understanding the Five Forces model and the generic strategies.
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Gurau, Calin. "UML as an Essential Tool for Implementing eCRM Systems." In Encyclopedia of Multimedia Technology and Networking, Second Edition, 1453–63. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-014-1.ch196.

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Electronic commerce requires the redefinition of the firm’s relationships with partners, suppliers, and customers. The goal of effective customer relationship management (CRM) practice is to increase the firm’s customer equity, which is defined by the quality, quantity, and duration of customer relationships (Fjermestad & Romano, 2003). The explosive development of the online market and the rapid evolution of customer management applications have determined the companies to implement electronic customer relationship management (eCRM) systems, which are using advanced technology to enhance customer relationship management practices. The successful implementation of an eCRM system requires a specific combination of IT applications that support the classic domains of the CRM concept: marketing, sales, and service (Kennedy, 2006). Electronic marketing aims for acquiring new customers and moving existing customers to further purchases. Electronic sales try to simplify the buying process and to provide superior customer support. Electronic service has the task to provide electronic information and services for arising questions and problems or to convey customers to the right contact person in the organization. The eCRM system comprises a number of business processes, interlinked in a logical succession: • Market segmentation: The collection of historical data, complemented with information provided by third parties (such as marketing research agencies), is segmented on the basis of customer life-time value (CLV) criteria, using data mining applications. • Capturing the customer: The potential customer is attracted to the Web site of the firm through targeted promotional messages, diffused through various communication channels. • Customer information retrieval: The information retrieval process can be either implicit or explicit. When implicit, the information retrieval process registers the Web behaviour of customers, using specialized software applications, such as “cookies.” On the other hand, explicit information can be gathered through direct input of demographic data by the customer (using online registration forms or questionnaires). Often, these two categories of information are connected at database level. • Customer profile definition: The customer information collected is analyzed in relation with the target market segments identified through data mining, and a particular customer profile is defined. The profile can be enriched with additional data (e.g., external information from marketing information providers). This combination creates a holistic view of the customer, his needs, wants, interests and behaviour (Pan & Lee, 2003). • Personalization of firm-customer interaction: the customer profile is used to identify the best customer management campaign (CMC), which is applied to personalize the company-customer online interaction. • Resource management: The company-customer transaction require complex resource management operations, which are partially managed automatically, through specialized IT-applications, such as Enterprise Resource Planning (ERP) or Supply Chain Management (SCM), and partly through the direct involvement and coordination of operational managers.
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Conference papers on the topic "Supplier Segmentation"

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Rahayu, Siti, and Romadhani Ardi. "A Proposed Supplier Segmentation Criteria in Indonesian Manufacturing Industry." In APCORISE 2020: 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering 2020. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3400934.3400986.

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Kundu, A., and V. Jain. "On development of supplier segmentation ontology using latent semantic analysis for supplier knowledge management in supply chain." In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2013. http://dx.doi.org/10.1109/ieem.2013.6962562.

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Ibrahim, Niko, Putu Wuri Handayani, and Muhammad Fadhil Dzulfikar. "Hotel Revenue Manager Segmentation Based on Their Behavior and Motivation While Using Online Travel Agent Supplier System." In 2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS). IEEE, 2020. http://dx.doi.org/10.1109/icacsis51025.2020.9263242.

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Bici, Michele, Saber Seyed Mohammadi, and Francesca Campana. "A Compared Approach on How Deep Learning May Support Reverse Engineering for Tolerance Inspection." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11325.

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Abstract Reverse Engineering (RE) may help tolerance inspection during production by digitalization of analyzed components and their comparison with design requirements. RE techniques are already applied for geometrical and tolerance shape control. Plastic injection molding is one of the fields where it may be applied, in particular for die set-up of multi-cavities, since no severe accuracy is required for the acquisition system. In this field, RE techniques integrated with Computer-Aided tools for tolerancing and inspection may contribute to the so-called “Smart Manufacturing”. Their integration with PLM and suppliers’ incoming components may set the information necessary to evaluate each component and die. Intensive application of shape digitalization has to front several issues: accuracy of data acquisition hardware and software; automation of experimental and post-processing steps; update of industrial protocol and workers knowledge among others. Concerning post-processing automation, many advantages arise from computer vision, considering that it is based on the same concepts developed in a RE post-processing (detection, segmentation and classification). Recently, deep learning has been applied to classify point clouds, considering object and/or feature recognition. This can be made in two ways: with a 3D voxel grid, increasing regularity, before feeding data to a deep net architecture; or acting directly on point cloud. Literature data demonstrate high accuracy according to net training quality. In this paper, a preliminary study about CNN for 3D points segmentation is provided. Their characteristics have been compared to an automatic approach that has been already implemented by the authors in the past. VoxNet and PointNet architectures have been compared according to the specific task of feature recognition for tolerance inspection and some investigations on test cases are discussed to understand their performance.
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Simoes, Leandro G. C., Filipe A. N. Verri, and Takashi Yoneyama. "Spending Segmentation and Outlier Detection in Brazilian Elections." In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/kdmile.2020.11960.

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The political campaigns in Brazilian elections are mostly financed by public money. Every candidate has to provide detailed accountability reports to the legal authorities, which must be analyzed in a short time frame in search of eventual fraud or suspicious transactions. In this work we have compiled a real data set from 2016 Brazilian elections for all city councils in the São Paulo state and used it to propose a framework of data segmentation analysis and validation. An exploratory data analysis is performed to determine the features distribution and to define the required feature pre-processing tasks. A clustering analysis using DBSCAN method is applied to a subset of the original data, focused on segmenting the spending data regarding contracts with car fuel providers and detecting potential outliers. Three clusters were identified and a ridge regression model was used to evaluate the most important features on cluster definition. One cluster was related to candidates that received zero votes and the remaining two discriminated suppliers if they had or not contracts almost exclusively related to candidate spending on car fuel. The hyperparameters from the clustering analysis were validated using a bootstrap method and a null hypothesis of data set structure randomness was rejected using a Monte Carlo approach.
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