Relevant bibliographies by topics / Forecasting and Replenishment (CPFR)

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

Academic literature on the topic 'Forecasting and Replenishment (CPFR)'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Forecasting and Replenishment (CPFR)"

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Hollmann, Roberto Luis, Luiz Felipe Scavarda, and Antônio Márcio Tavares Thomé. "Collaborative planning, forecasting and replenishment: a literature review." International Journal of Productivity and Performance Management 64, no. 7 (September 14, 2015): 971–93. http://dx.doi.org/10.1108/ijppm-03-2014-0039.

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Purpose – The purpose of this paper is to provide a systematic review of the literature on Collaborative Planning, Forecasting and Replenishment (CPFR). The review emphasises the descriptors of CPFR implementation and models, as well as the impact of CPFR and other supply chain collaboration (SCC) initiatives on supply chain (SC) performance. Design/methodology/approach – The systematic review includes 50 full-text papers retrieved from four databases: Emerald, EBSCO, ScienceDirect and Wiley. Rigorous and verifiable keywords, review steps and selection criteria were applied to the database and inter-coders agreement was systematically checked. Findings – There is no consensus regarding the breadth and scope of CPFR configurations. CPFR is context-dependent and varies according to the configuration of the SC. Trust, information-communication technology and the quality of information sharing are main enablers and inhibitors of implementation. Practical implications – Practitioners will benefit from insights related to the choice of SCC configurations (e.g. number of partners, nature of products and spatial complexity), the importance of trust and empowerment for SCC and the need to outweigh carefully the costs and benefits of specific SCC before implementation. Originality/value – CPFR, which is considered by many to be the most advanced and the most comprehensive SCC process and has a direct impact upon SC performance. Nonetheless, efforts to synthesise the overall state of the art in CPFR have been rather limited to date. As an effort to fill this gap, this paper provides a better understanding of the role of CPFR as a determinant of SC performance. As an effort to contribute to complete the cycle of theory building based on the literature review, seven propositions for CPFR research are put forward.
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Panahifar, Farhad, Cathal Heavey, PJ Byrne, and Hamed Fazlollahtabar. "A framework for Collaborative Planning, Forecasting and Replenishment (CPFR)." Journal of Enterprise Information Management 28, no. 6 (October 12, 2015): 838–71. http://dx.doi.org/10.1108/jeim-09-2014-0092.

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Purpose – Although many papers purport the significant value attributable to supply chain performance from the use of Collaborative Planning, Forecasting and Replenishment (CPFR), the question of “what are the main constructs and efficient framework for successful implementation of CPFR?” remains largely unanswered. This question will be addressed by identifying and analysing the main constructs for successful implementation of CPFR. The purpose of this paper is to attempt first to seek answers to this question. Second, to review the scope and value of CPFR using a devised state-of-the-art taxonomy for the classification of selected bibliographical references and third, to develop a conceptual framework by identifying areas which need more research. Design/methodology/approach – The method underlying this paper followed the steps of a systematic literature review process outlined by Soni and Kodali (2011). The review is based on a total of 93 papers published from 1998 to 2013 on CPFR. Findings – Four main constructs for successful implementation of CPFR have been identified: CPFR enablers, CPFR barriers, trading partner selection and IA. The findings indicate that there is a need for better understanding of the amount and level of information sharing as an important function of CPFR implementation. The paper also illustrates a number of shortcomings in the current literature and provides suggestions to guide future research on implementing CPFR in different industries. Practical implications – This paper is of interest to both academicians and practitioners as it helps to better understand the concept and role of CPFR in supply chain integration and its implementation results, enablers and inhibitors. The proposed framework in this paper can be used to give insight for future research and practice. Originality/value – The paper offers a framework for the review of previous research on CPFR and identifies the most important shortcomings that need to be addressed in future research. In addition, this review is both greater in scope than previous reviews and is broader in its subject focus.
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Singhry, Hassan Barau, and Azmawani Abd Rahman. "Enhancing supply chain performance through collaborative planning, forecasting, and replenishment." Business Process Management Journal 25, no. 4 (July 3, 2019): 625–46. http://dx.doi.org/10.1108/bpmj-03-2017-0052.

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Purpose Despite the importance of collaborative planning, forecasting, and replenishment (CPFR), its influence on supply chain innovation capability (SCIC) and supply chain performance (SCP) has not been sufficiently examined. The purpose of this paper is to examine the antecedence of SCP through CPFR and SCIC. Design/methodology/approach Through cluster and stratified random sampling, 286 responses from top managers of 1,574 Nigerian manufacturing companies were analyzed. Data analysis was performed using structural equation modeling with AMOS graphics. Findings The results show that SCIC has a full mediating effect on the relationship between CPFR and SCP. Specifically, CPFR has a significant relationship with both SCP and SCIC, and SCIC also relates significantly to SCP. Practical implications This study offers implications for manufacturers in developing countries in general, and in Nigeria in particular, by providing a guideline on how to improve SCP through CPFR. Originality/value The paper contributes to the limited studies on CPFR and SCP by extending this line of study into the realm of innovation capability and innovation. It integrates the social exchange theory and the dynamic capabilities theory to examine the collaborative processes of CPFR in the supply chain context. This study stressed the importance of boundary theoretical spanning by extending CPFR and SCP into the domain of innovation capability.
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Panaihfar, Farhad, Cathal Heavey, and PJ Byrne. "Developing retailer selection factors for collaborative planning, forecasting and replenishment." Industrial Management & Data Systems 115, no. 7 (August 10, 2015): 1292–324. http://dx.doi.org/10.1108/imds-01-2015-0009.

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Purpose – Selecting an appropriate partner is a vital and strategic decision-making process in any supply chain collaboration initiative. The purpose of this paper is to introduce and explore the key factors considered by manufacturers in the selection of an appropriate retailer(s) for collaboration and collaborative planning, forecasting and replenishment (CPFR) implementation and the relationships between these factors. Design/methodology/approach – A comprehensive literature review and experts’ views are applied to identify the main retailer selection and evaluation factors for CPFR implementation. A fuzzy decision-making trial and evaluation laboratory approach is then used to rank and analysis the interaction among identified factors. The findings are finally evaluated using a case study from a high-tech industry. Findings – The most important partner selection factors comprising of five dimensions and 24 factors are introduced. Of the identified criteria, three factors: manufacturer’s familiarity with the retailer, workforce skills and training and customer service orientation and capability have been identified as critical when selecting retailers for CPFR implementation. The technological capabilities dimensions are identified as the only net cause dimension which affects all other dimensions and its importance and role in simplifying and enhancing the speed and flexibility of CPFR implementation. Practical implications – The paper identifies practical retailer selection factors for CPFR implementation and the causal relationships between factors. Developed retailer selection dimensions and criteria will assist manufacturers and retailers in understanding the role these factors play in CPFR implementation. This will also assist in appropriate retailer(s) selection by manufacturers. Originality/value – This paper contributes to the literature on CPFR and tackles the important issue of selecting appropriate partners by developing retailer selection dimensions and criteria in CPFR implementation.
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Berezinets, Irina, Natalia Nikolchenko, and Nikolay Zenkevich. "Is Collaborative Planning a Determinant of Financial Performance in Supply Chain?" International Journal of Information Systems and Supply Chain Management 13, no. 3 (July 2020): 38–53. http://dx.doi.org/10.4018/ijisscm.2020070103.

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As both the practice and the results of the contemporary studies show, collaborative planning, forecasting and replenishment (CPFR) improves the financial performance of supply chain members. The study investigated how Russian companies - the supply chain members, implement the process of CPFR in practice, and how implementation of the concept of collaborative planning affects the financial performance of the companies. The analysis of the obtained results revealed that collaborative planning drives the revenue of companies participating in the supply chain.
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Sherer, Susan A., Rajiv Kohli, Yuliang Yao, and Jerold Cederlund. "Do Cultural Differences Matter in IT Implementation?" Journal of Global Information Management 19, no. 4 (October 2011): 1–17. http://dx.doi.org/10.4018/jgim.2011100101.

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As multinational firms increasingly adopt collaborative technology with supply chain partners in other countries, their implementation strategies need to accommodate cultural differences. This paper draws upon Hofstede’s framework for understanding national cultural characteristics to propose differences in implementation timing and strategy. These propositions are tested with a case study involving a large U.S. based multinational’s implementation of Collaborative Planning, Forecasting and Replenishment (CPFR) with partners in four different countries: U.S., Germany, China, and Poland. This research suggests that cultural differences impact the rollout life cycle for CPFR. The authors recommend that (1) implementation strategies should match national culture, (2) implementation timing can be a function of national culture, and finally (3) customer readiness assessments for CPFR rollout should include an assessment of national cultural differences.
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Wei, Ling Yun, Ming Xiang Wen, and Xiao Guang Zhou. "A Comparative Simulation Study about Supply Chain Inventory Management Strategies Based on System Dynamics." Applied Mechanics and Materials 701-702 (December 2014): 1280–85. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.1280.

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This paper aims to compare benefits of Vendor Managed Inventory (VMI) system and Collaborative Planning, Forecasting, and Replenishment (CPFR) system based on (R,Q) inventory strategy. Four-stage supply chain models that are simulated by system dynamics (SD) methods will be used to support the comparison. In addition, factors of total cost for the whole supply chain (TSC) and product fill rate (fr) can assist to evaluate simulation models. The results of this study indicate that benefits and flexibility of CPFR appear to be higher than VMI under (R, Q) strategy, and key parameters have significant impacts on TSC of the two systems.
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Vivaldini, Mauro, Sílvio R. I. Pires, and Fernando Bernardi de Souza. "Importância dos fatores não-tecnológicos na implementação do CPFR." Revista de Administração Contemporânea 14, no. 2 (April 2010): 289–309. http://dx.doi.org/10.1590/s1415-65552010000200007.

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De acordo com o Voluntary Interindustry Commerce Standards [VICS], o Collaborative Planning, Forecasting, and Replenishment [CPFR] se baseia na padronização, registro e sincronização de dados eletronicamente, apoiado pela gestão colaborativa existente entre as empresas (VICS, 2004). A partir desta definição, pode-se concluir que existem dois fatores preponderantes na implementação do CPFR: um essencialmente tecnológico e outro não-tecnológico. Nesse contexto, o propósito principal deste estudo é identificar na literatura os chamados fatores não tecnológicos que envolvem o CPFR e analisá-los em situações reais. A importância desses fatores é analisada, então, por meio do estudo de dois casos reais de implementação do CPFR, respectivamente, em uma grande rede de fast food e em um grande distribuidor de alimentos, que operam no Brasil. Os resultados destacam, principalmente, que a previsão da demanda realizada pela empresa coordenadora do CPFR é preponderante sobre o entendimento da demanda por todos os elos da cadeia de suprimentos, que a cultura colaborativa é considerada muito importante no relacionamento ao longo da cadeia (embora não seja determinante para a implementação dos processos) e que o monitoramento das atividades é fundamental para o alinhamento das empresas na gestão do CPFR.
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Chen, Xiang, Xue Feng Zhou, and Wei Hou. "Application of Improved Safety Inventory Quantity in Building Construction." Applied Mechanics and Materials 99-100 (September 2011): 250–53. http://dx.doi.org/10.4028/www.scientific.net/amm.99-100.250.

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Safety inventory quantity computation based on Collaborative Planning Forecasting & Replenishment (CPFR) can avoid uncertainty of material supply in building construction, which can also coordinate relationship between supplier and construction side to reduce inventory cost and to ensure the progress of construction. The paper analyzed systematically on relationship between lead time and safety inventory. Combining with application of CPFR and based on establishing good relation between material supplier and construction contractors, safety inventory level was reduced with management of lead time. Supply of material supplier was also coordinated to reduce uncertainty of inventory quantity. Construction application example based on improved safety inventory quantity method also proves the feasibility of the proposed method.
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CHEN, MU-CHEN, HSU-HWA CHANG, SHUEN-CHIEH CHANG, and SHIH-MING CHEN. "DEVELOPMENT OF MANUFACTURER-RETAILER RELATIONSHIPS THROUGH COLLABORATIVE MANAGEMENT: A CASE STUDY." International Journal of Innovation and Technology Management 01, no. 03 (September 2004): 307–23. http://dx.doi.org/10.1142/s0219877004000210.

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Nowadays enterprises are facing many challenges such as global competition and thin profits. Consequently, enterprises have changed their focus from cost reduction and quality improvement to quick customer response and innovative services. In recent decades, enterprises have developed advanced industry initiatives to improve efficiency by supply chain management. Effective supply chain management is not achievable by any single enterprise, but instead requires a virtual entity of integrated supply chain partners. They have the insightful commitment of real-time information sharing and collaborative management. Under such a circumstance, an initiative of collaborative management, Collaborative Planning, Forecasting, and Replenishment (CPFR), has recently been developed and implemented in the industry. In this paper, a case study of CPFR implementation in Rexon, Taiwan is conducted to provide a reference to other enterprises. Rexon's primary purpose of implementing CPFR is to strengthen its retail partnership, improve the accuracy of demand forecasts, and reduce inventory cost and other related operational costs.
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More sources

Dissertations / Theses on the topic "Forecasting and Replenishment (CPFR)"

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Stoll, Robert G. "Collaborative Planning Forecasting Replenishment (CPFR): Successful Implementation Attributes." Cleveland State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=csu1292517604.

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COURI, VICTOR BARROS. "ANALYSIS AND PERSPECTIVES FROM EMPIRICAL STUDIES IN COLLABORATIVE PLANNING, FORECASTING AND REPLENISHMENT (CPFR)." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=31966@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
A prática do Planejamento, Previsão e Reabastecimento Colaborativo (em inglês, Collaborative Planning, Forecasting and Replenishment – CPFR) é um tema recente de integração de cadeias de suprimento que tem sido amplamente abordado na literatura acadêmica. O CPFR é considerado, para muitos pesquisadores, uma iniciativa mais completa e avançada que outros métodos de colaboração na cadeia, sendo, em alguns casos, uma extensão ou aprimoramento dos mesmos. O amadurecimento do tema é representado pela existência de revisões sistemáticas na literatura. Contudo, por ser o CPFR ainda um tema recente com acentuado crescimento de estudos na literatura, esta dissertação tem como objetivo realizar uma atualização destas revisões sistemáticas para verificar novos avanços no assunto, se lacunas ressaltadas já foram pelo menos parcialmente endereçadas e se tendências estão se consolidando. Mais ainda, em função da dificuldade de se implementar o CPFR na prática, um enfoque maior na análise dos estudos empíricos existentes com o objetivo de ir além de resultados parciais e particulares oferecidos na literatura é contemplado nesta dissertação, expandindo assim o escopo das revisões existentes com o foco específico em estudos empíricos. A dissertação apresenta seus resultados guiados em um framework de síntese para integração de cadeias focado em CPFR, tendo como base os passos para a condução de uma pesquisa empírica em gerência de operações, os blocos conceituais do CPFR e a contribuição dos estudos empíricos. Uma agenda para pesquisas futuras finaliza a dissertação.
The practice of Collaborative Planning, Forecasting and Replenishment (CPFR) is a recent topic of supply chain integration that has been extensively covered in academic literature. The CPFR is considered by several researchers a more complete and advanced initiative than other methods of collaboration in the chain, being in some cases an extension or improvement of them. The maturation of the theme is represented by the existence of systematic reviews in the literature. However, since CPFR is still a recent topic with a strong growth of studies in the literature, this dissertation aims to carry out an update of these systematic reviews in order to verify new advances in the subject, if highlighted gaps have been at least partially addressed, and also if trends have been consolidating. Moreover, due to the difficulty of implementing CPFR in practice, a greater focus on the analysis of existing empirical studies with the objective of going beyond partial and particular results offered in the literature is contemplated in this dissertation, thus expanding the scope of the existing reviews with specific focus on empirical studies. The dissertation presents its results guided by a synthesis framework for supply chain integration focused on CPFR, based on the steps for conducting an empirical research in operations management, the conceptual building blocks for CPFR and the contribution of the empirical studies. An agenda for future research concludes the dissertation.
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Cassivi, Luc. "The impact of collaboration planning forecasting and replenishment, CPFR, on the performance of firms in a supply chain." Châtenay-Malabry, Ecole centrale de Paris, 2003. http://www.theses.fr/2003ECAP0897.

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Les entreprises manufacturières oeuvrant dans des domaines de haute technologie sont aujourd'hui confrontées à de multiples impératifs qui les incitent à collaborer avec des partenaires pour l'ensemble des leurs activités. Cette étude analyse l'impact de la planification de la collaboration sur la performance d'une chaîne d'approvisionnement. L'étude a été menée en deux phases dans la chaîne d'approvisionnement d'un équipementier du secteur des télécommunications. La première phase, l'étude de terrain, a comme objectifs de bien cerner les méthodes de collaboration et d'identifier les intérêts des différents membres de la chaîne d'approvisionnement. La deuxième phase, le questionnaire électronique, a comme objectifs d'analyser l'impact de la planification de la collaboration sur l'innovation au sein des entreprises de la chaîne d'approvisionnement, et d'évaluer l'effet médiateur des innovations sur la relation entre la planification de la collaboration et la performance de la chaîne.
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Seifert, Dirk. "Efficient Consumer Response : Supply Chain Management (SCM), Category Management (CM) and Collaborative Planning, Forecasting and Replenishment (CPFR) als neue Strategieansätze /." Mering : Hampp, 2004. http://www.gbv.de/dms/zbw/372972977.pdf.

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Akash, Umair. "Mapping the flow Of Apparel in a Wholesale Company." Thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17111.

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Globalization that diminishes the barriers to trade worldwide has transformed the structure of production and increased the global competition in the textile and apparel industry. Especially, the elimination of quotas on January 2005 has totally changed the whole scenario of the apparel industry. A boom has been noticed in the emerging markets. Buyers shift their maximum orders to the low cost countries to increase their profit margins. China has gained its popularity among the European and American buyers because of the cheap labor and large scales of production and has become the world’s largest exporter of textile and apparel. The traditional competitive factor among the buyers is the lower cost of the product but the changing markets trends and demand volatility pushes the buyers to focus also on quality and lead times in addition to price. Due to the huge competition among the cluster of brands, retailers and wholesalers, lead time is becoming critical as longer lead times increases the risk of bottleneck to sales. China is the most important apparel supplier for the EU (especially Germany, the UK, and France) because it provides the cost benefit to the sourcing companies, but at the same time, it increases the lead times and also has more environmental impact in terms of pollution because of the long geographical distance.This thesis highlights that there is a remarkable rise of the labor cost in China, noticed for the last couple of years, which has reduced the competitive factor of price while sourcing from China. This is also an upcoming challenge for the whole world with regards to sourcing strategies. Many sourcing companies are shifting their shares away from China in order to achieve their desired profit margins. Turkey may be an alternative sourcing destination for the European apparel buyers and wholesalers because of its competitive labor cost, favorable government policies, flexibility, sustainability, and proximity to Europe. In this thesis, a pilot study is carried out to determine the relationship and effects of lead times on sales. This thesis also describes the effects of relationships among the business partners on the supply chain flow. It is noted through several pilot studies that the organizations who work in collaboration with their supply chain partners can significantly improve their supply chain efficiency by reducing the inventories, markdowns, lead times, lost sales, and increasing forecast accuracy. There are several tools in use for collaboration such as Vendor Managed Inventory (VMI), Electronic Data Interchange (EDI), Just in Time (JIT), Customer Relationship Management (CRM), and Collaboration, Planning, Forecasting, and Replenishment (CPFR). In this paper the CPFR implementation steps, benefits, and hindrances are discussed in detail.
Program: Master programme in Applied Textile Management
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AKASH, UMAIR. "Mapping the flow Of Apparel in a Wholesale Company." Thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17380.

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Globalization that diminishes the barriers to trade worldwide has transformed the structure of production and increased the global competition in the textile and apparel industry. Especially, the elimination of quotas on January 2005 has totally changed the whole scenario of the apparel industry. A boom has been noticed in the emerging markets. Buyers shift their maximum orders to the low cost countries to increase their profit margins. China has gained its popularity among the European and American buyers because of the cheap labor and large scales of production and has become the world’s largest exporter of textile and apparel. The traditional competitive factor among the buyers is the lower cost of the product but the changing markets trends and demand volatility pushes the buyers to focus also on quality and lead times in addition to price. Due to the huge competition among the cluster of brands, retailers and wholesalers, lead time is becoming critical as longer lead times increases the risk of bottleneck to sales. China is the most important apparel supplier for the EU (especially Germany, the UK, and France) because it provides the cost benefit to the sourcing companies, but at the same time, it increases the lead times and also has more environmental impact in terms of pollution because of the long geographical distance.This thesis highlights that there is a remarkable rise of the labor cost in China, noticed for the last couple of years, which has reduced the competitive factor of price while sourcing from China. This is also an upcoming challenge for the whole world with regards to sourcing strategies. Many sourcing companies are shifting their shares away from China in order to achieve their desired profit margins. Turkey may be an alternative sourcing destination for the European apparel buyers and wholesalers because of its competitive labor cost, favorable government policies, flexibility, sustainability, and proximity to Europe. In this thesis, a pilot study is carried out to determine the relationship and effects of lead times on sales. This thesis also describes the effects of relationships among the business partners on the supply chain flow. It is noted through several pilot studies that the organizations who work in collaboration with their supply chain partners can significantly improve their supply chain efficiency by reducing the inventories, markdowns, lead times, lost sales, and increasing forecast accuracy. There are several tools in use for collaboration such as Vendor Managed Inventory (VMI), Electronic Data Interchange (EDI), Just in Time (JIT), Customer Relationship Management (CRM), and Collaboration, Planning, Forecasting, and Replenishment (CPFR). In this paper the CPFR implementation steps, benefits, and hindrances are discussed in detail.
Program: Master programme in Applied Textile Management
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Chen, Lingxin, and Jiahong Xu. "Optimization of soft beverage inventory managementin practice for SMEs : A case study of JN Ltd. In China." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-27350.

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Introduction: Nowadays beverage companies must focus on maintaining healthy finishedgoods inventory stocks in order to be able to decrease inventory costs, meet customerrequirements and to obtain competitive advantage. However many beverage SMEdon’t have an accurate planning and forecasting to manufacturing inventories. Thereforethey often face the problem of optimization in inventory management due to several differentreasons. As a result, company loses its competitiveness. Thus, there is a need tocoordinate Inventory activities of beverage SMEs to improve inventories’ planning. The purpose of this study is to analyze how inventory management is organized in a small Chinese beverage company. Frame of reference: This research is based on the theoretical framework relates with InventoryManagement (IM) and Retailer-managed inventory (RMI), vendor-managed inventory(VMI) and Collaborative Planning, Forecasting and Replenishment (CPFR).Empirical Data were collected through personal interviews and organization documents. Methodology: The research strategy for this paper is a single case study. This strategy allows investigating topic in its real life context. The inductive approach is used for this research based on qualitative data. The major source of data collection was semi-structured interviews and the company's documents. For analyzing data categorization approach was applied. Conclusion: The study found that inventory management theories presented in scientificliteratures are used in practice. To achieve better inventory management for beverageSMEs, the authors summarize four importance parameters based on literatures and findings.The authors also provide some suggestions based on the importance parameters inthe conclusion to optimize the case company’s inventory management.
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HOLLMANN, ROBERTO LUIS. "A SYSTEMATIC LITERATURE REVIEW OF COLLABORATIVE PLANNING FORECASTING AND REPLENISHMENT." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=24408@1.

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Colaboração na cadeia de suprimentos (SCC) é um tema que tem sido amplamente discutido na literatura e é aceito que a criação de uma cadeia de suprimentos sincronizada leva ao aumento da capacidade de resposta e a menores custos de estoque. O Planejamento, Previsão e Reabastecimento Colaborativo (CPFR) é considerado por muitos autores como a mais avançada e abrangente iniciativa em SCC. Apesar do crescente número de publicações sobre CPFR, a literatura acadêmica revela a ausência de uma pesquisa que sintetize o estado da arte sobre CPFR. Desta forma, esta dissertação tem como objetivo, por meio da revisão sistemática da literatura, reunir e integrar o conhecimento sobre CPFR como um processo de negócio e como uma prática de gestão. Foram analisados 629 resumos e 47 artigos foram selecionados para a revisão e classificação. A dissertação analisa os modelos de CPFR, apresenta os principais facilitadores e barreiras para a implementação do CPFR e as diferenças entre CPFR e outras iniciativas de SCC e seus impactos no desempenho da cadeia de suprimentos (SC). Um modelo conceitual (framework) é proposto para guiar e organizar a revisão da literatura. A estrutura do framework abrange todos os elementos constitutivos necessários para descrever os elementos individuais do CPFR (contexto, insumos, estrutura e processos e resultados), suas relações e o impacto sobre o desempenho da empresa. O framework também mostra o papel funcional vertical do CPFR em construir uma ponte entre os negócios e planos estratégicos corporativos dos membros da SC com as operações conjuntas na SC. Apesar de existirem vários modelos para o CPFR, não há um consenso sobre as diferentes configurações para o CPFR. Estas diferenças são atribuídas ao estágio de desenvolvimento em modelos de maturidade, a diferentes contextos e estratégias de implementação, de acordo com a pesquisa da contingência em gestão de operações, e a singularidade dos recursos e dependências entre as empresas na cadeia de suprimentos, conforme a visão baseada em recursos e a visão baseada na dependência. A responsividade aparece como o principal objetivo na implementação do CPFR e o custobenefício do CPFR deve ser comparado com os de outras iniciativas de SCC para a escolha da mais adequada à cadeia de suprimentos. Apenas três estudos confirmatórios relatam o impacto do CPFR na cadeia de suprimentos. Esta dissertação contribui para uma melhor compreensão do tema e fornece indicações para futuras pesquisas e práticas em CPFR e SCC.
Collaborative Planning, Forecasting and Replenishment (CPFR) is considered by many researches to be the most advanced and the most comprehensive Supply Chain Collaboration (SCC) initiative. Despite its relevance and growing number of publications, efforts to synthesise the overall state of the art in CPFR have been rather limited to date. As an effort to fill this gap, this dissertation aims to go beyond the highly dispersed work on CPFR by providing a systematic review of the literature and the key findings on the topic. The dissertation analyses CPFR models, discusses main enablers and barriers for implementation and CPFR and other SCC impact on Supply Chain (SC) performance. A framework is also proposed as an aide to assemble and organise the literature review. The structure of the framework embraces all the constitutive elements required to describe individual CPFR elements (context, inputs, structure and processes, outcomes and results), their relationships and impact upon firm performance. The framework also shows the vertical functional role of CPFR in bridging business and corporate strategic plans from SC members to joint SC operations. This dissertation contributes to a better understanding of the field and provides directions for future research and practice in CPFR and SCC.
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Patoka, Markus. "Improving Order Picking Processes through Proper Storage Assignment : Using results from previous mathematical research to simplify solving real life problems." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-11107.

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The area of order picking has been widely studied but still there is no general approach covering all the potential variables of a unique case. Optimizing the product placement is a useful way to improve order picking through reduced travel distances and goes hand in hand with an appropriate batching strategy and routing policy. The existing methods are of mathematical basis and can be costly to implement and it is therefore necessary to develop a non-mathematical approach that can be used for distribution centers and in this particular case, the warehouse of a mail order company. Literature is reviewed to investigate the current situation of a large Swedish mail order retailer for the development of a unique product assignment strategy, taking into consideration potential variables. It was found out that a lot of trade-offs are being done all the time between travel distances of the SKUs. Also, it was found out that “cart blocking” might be a potential problem when using a turnover-based storage assignment strategy.
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Krieger, Sören, Jérémy Bellina, Olegs Bodins, and Mathilde Olivier. "Managing upstream supply chain in order to decrease inventory level : A case study on the paper merchant Papyrus Sweden." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-27636.

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Business Administration, Business Process and Supply Chain Management Degree Project (master), 15 higher education points, 4FE06E, Spring 2013 Authors: Jeremy Bellina, Olegs Bodins, Soeren Krieger and Mathilde Olivier Tutor: Roger Stokkedal Title: Managing Upstream Supply Chain in Order to Decrease Inventory Level: A Case Study on the Paper Merchant Papyrus Sweden. Background: The research is based on Papyrus Sweden, a paper merchant, which is facing a decrease in the demand of paper products. It was identified that inventory level reduction is now crucial for the company in order to stay in the market. Therefore, Papyrus Sweden is focused on inventory level and tied-up capital reduction in order to decrease costs and increase net profit. Purpose: This thesis aims to analyze the current situation in Papyrus Sweden in terms of inventory level and activities related to suppliers, and prepare recommendations which could help Papyrus Sweden to reduce its inventory level. Method: The data has been collected through interviews with managers from the supply chain department as well as through a data sample from Papyrus Sweden database given to the researchers. All data was analyzed and compared with the literature review. Data received from the database was processed and transformed in Microsoft Excel in order to make the analysis. Results: The analysis identifies issues in material planning methods, safety stock calculation, ABC-XYZ classification and forecast calculation, on which Papyrus Sweden could act in order to decrease its inventory level. Furthermore, the researchers identify two solutions Papyrus Sweden could implement with its suppliers in order to reduce inventory level which are a Service Level Agreement and a Vendor Managed Inventory system. Keywords: inventory level, material planning method, safety stock, ABC-XYZ classification, forecast calculation, replenishment lead time, supplier relationship, information sharing, Service Level Agreement (SLA), Vendor Managed Inventory (VMI) and Collaborative planning, forecast and replenishment system (CPFR).
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Books on the topic "Forecasting and Replenishment (CPFR)"

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Disney, Stephen M. On replenishment rules, forecasting, and the Bullwhip effect in supply chains. Boston: Now Publishers, 2008.

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Seifert, Dr Dirk. Collaborative Planning, Forecasting and Replenishment. SAP Press, 2002.

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Collaborative Planning, Forecasting and Replenishment. Supply Chain Managementder nächsten Generation. Galileo Press, 2002.

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Collaborative Planning, Forecasting, and Replenishment: How to Create a Supply Chain Advantage. AMACOM/American Management Association, 2003.

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Collaborative Planning, Forecasting, and Replenishment in the Grocery Industry and Defense Commissary Agency. Storming Media, 2004.

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Book chapters on the topic "Forecasting and Replenishment (CPFR)"

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Liu, Xiaohui. "Information Integration of Collaborative Planning, Forecasting and Replenishment (CPFR) Based on Internet of Things." In Advances in Computer Science, Intelligent System and Environment, 641–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23753-9_103.

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Jiang, Guorui, and Ying Liu. "Research on Collaborative Forecasting Model Based on CPFR." In Advances in Intelligent and Soft Computing, 523–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-03718-4_65.

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Xu, Qi, Wenjie Wang, and Liangfang Li. "Combination Forecasting Error Correction Modeling and Application in CPFR Coordination." In LISS 2013, 167–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40660-7_24.

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Ho, Daisy Ka-Yee, and Tsan-Ming Choi. "Collaborative Planning Forecasting Replenishment Schemes in Apparel Supply Chain Systems: Cases and Research Opportunities." In Intelligent Fashion Forecasting Systems: Models and Applications, 29–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39869-8_3.

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Ji, Shou-feng, Hai-yan Lan, and Jin-huan Tang. "Optimal Replenishment Policies for Deteriorating Items Based on the Forecasting Method of Grey Model." In Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 789–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40063-6_78.

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Kotzab, Herbert, and Christoph Teller. "Kritische Erörterung des Collaborative Planning Forecasting and Replenishment - Ansatzes aus der Sicht des Supply Chain Controlling." In Supply Chain Controlling in Theorie und Praxis, 83–105. Wiesbaden: Gabler Verlag, 2003. http://dx.doi.org/10.1007/978-3-322-84528-3_4.

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Malca-Ramirez, Carlos, Luis Nuñez-Salome, Ernesto Altamirano, and José Alvarez-Merino. "Replenishment System Using Inventory Models with Continuous Review and Quantitative Forecasting to Reduce Stock-Outs in a Commercial Company." In Advances in Intelligent Systems and Computing, 683–89. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39512-4_105.

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Hohmann, Susanne, and Stephan Zelewski. "Effects of Vendor-Managed Inventory on the Bullwhip Effect." In Management Innovations for Intelligent Supply Chains, 167–83. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2461-0.ch009.

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The bullwhip effect means that demand variability increases as one moves up the supply chain. In the following article the bullwhip effect is quantified for each part of the supply chain which is presupposed to consist of a producer, a wholesaler, a retailer, and a consumer. After considering the causes of the bullwhip effect, it will be shown with the help of a nonlinear optimization model to what extent the bullwhip effect can be reduced using vendor-managed inventory (VMI) as one concept of Collaborative Planning, Forecasting and Replenishment (CPFR). In contrast to other studies in this field the reduction of the bullwhip effect will be accurately quantified for each part of the supply chain.
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Karadayi-Usta, Saliha, and Seyda Serdarasan. "A Collaborative Framework for Medical Tourism Service Supply Chain Operations." In Global Developments in Healthcare and Medical Tourism, 188–219. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9787-2.ch011.

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Medical tourism is a combination of medical and tourism services that attracts medical travelers to destination countries. Collaboration between the members of the medical tourism service supply chain (MTSSC) is important to maintain a sustainable business. Thus, in this chapter, the authors use Collaborative Planning Forecasting Replenishment (CPFR) model as a reference and adapt it for medical tourism services. The focus of this chapter is on the collaboration between an assistance company and a medical institution. This chapter suggests a collaborative MTSSC operations framework including steps, tools, and techniques for collaboration arrangement and joint business plans, demand planning and forecasting, balancing the demand and capacity, the execution phase, and the final performance measurement. It describes how multiple supply chain partners intelligence could be combined to fulfill demand of medical tourists by aligning the planned actions and available resources with the real execution process by a set of tools and techniques.
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Ghosh, Anupam, and Jane Fedorowicz. "Governance Mechanisms for E-Collaboration." In E-Collaboration, 919–25. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-652-5.ch071.

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E-collaboration, defined as “collaboration among individuals engaged in a common task using electronic technologies” (Kock, Davison, Ocker, & Wazlawick, 2001), is increasingly gaining relevance at the interorganizational level because of the growing practice of working with dispersed project teams across the globe. E-collaboration links together partners on projects and business processes that cross legal boundaries, as is the case, for example, in supply chains and in product lifecycle management (PLM) teams. General purpose computer-based collaboration tools like the Internet, e-mails, instant messaging, discussion boards, groupware, portals, blogs, and wikis are commonly used for e-collaboration (Fichter, 2005), while task-specific tools exist for many interorganizational activities such as PLM or collaborative planning, forecasting, and replenishment (CPFR).
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Conference papers on the topic "Forecasting and Replenishment (CPFR)"

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Wang, WenJie. "Combination-forecasting modeling for CPFR collaboration." In 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5881294.

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Pang, Hui, and Shaohua Dong. "Optimization of Replenishment Strategy based on Collaborative Planning Forecasting and Replenishment." In 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/meees-18.2018.76.

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Dong, Peng, Peng Yu, and Furong Qin. "Study on Transportation and Replenishment Demand Forecasting Problem of Naval Warship." In 2016 3rd International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2016. http://dx.doi.org/10.1109/icisce.2016.148.

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Buyukozkan, Gulcin, and Zeynep Vardaloglu. "Analyzing of collaborative planning, forecasting and replenishment approach using fuzzy cognitive map." In Industrial Engineering (CIE39). IEEE, 2009. http://dx.doi.org/10.1109/iccie.2009.5223521.

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Shu, Tong, Shou Chen, Kin Lai, Chi Xie, and Shouyang Wang. "A Study of Collaborative Planning, Forecasting and Replenishment Mechanism of Agile Virtual Enterprises." In 2006 IEEE International Conference on Management of Innovation and Technology. IEEE, 2006. http://dx.doi.org/10.1109/icmit.2006.262351.

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Madsen, Bjorn, Petr Skobelev, George Rzevski, and Alexander Tsarev. "Real-Time Multi-agent Forecasting and Replenishment Solution for LEGOs Branded Retail Outlets." In 2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD). IEEE, 2012. http://dx.doi.org/10.1109/snpd.2012.25.

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Iurasov, Aleksei, and Giedre Stanelyte. "Study of different data science methods for demand prediction and replenishment forecasting at retail network." In 11th International Scientific Conference „Business and Management 2020“. VGTU Technika, 2020. http://dx.doi.org/10.3846/bm.2020.604.

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The demand prediction becoming an essential tool to remain or even lead in the competitionamong the retail businesses. A well-done demand prediction model could help retailer to track the level ofinventory, orders and sales in the most effective way in which the best results could be achieved. However,there are many different methods and opinions of how to create a demand prediction model. In this paper,we will analyse the most commonly used methods of Linear regression, Logistic Regression, ProbabilisticNeural Network, Bayesian Additive Regression Trees, Random Forest and Fuzzy Logic with their specificationsand limitations found in studies of authors. After review performed all methods will be compared accordingto characteristics selected. Moreover, in order to get more practical results the accuracy of LogisticRegression and Random Forest methods will be compared based on data of milk sales collected from retailnetwork. For constructing of decision support system for retail network, we need to go beyond demandprediction one-step to replenishment forecasting. It was concluded that there is no best method to forecastreplenishment and results can differ based on the data and conditions analysing. In every situation authorsseeking to select the method with the highest accuracy and the lowest number of errors possible. Limitationsof research: limited number of goods and stores included in the modelling.
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