Relevant bibliographies by topics / Cloud based supply chain management

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

Academic literature on the topic 'Cloud based supply chain management'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Cloud based supply chain management"

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Giannakis, Mihalis, Konstantina Spanaki, and Rameshwar Dubey. "A cloud-based supply chain management system: effects on supply chain responsiveness." Journal of Enterprise Information Management 32, no. 4 (July 3, 2019): 585–607. http://dx.doi.org/10.1108/jeim-05-2018-0106.

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Purpose Despite the ongoing calls for the incorporation of the cloud utility model, the effect of the cloud on elements of supply chain performance is still an evolving area of research. The purpose of this paper is to develop the architecture of a cloud-based supply chain management (C-SCM) ecosystem and explore how it enhances supply chain responsiveness (SCR). Design/methodology/approach First, the authors discuss the potential benefits that cloud computing can yield, compared to existing mature SCM information systems and solutions through a comprehensive literature review. The authors conceptualise SCR in terms of the level of visibility in the supply chain, supply chain flexibility and rapid detection and reaction to changes, and then the authors build the detailed architecture of a C-SCM system. The proposed ecosystem introduces a view of SCM and the associated practices when transferred to cloud environments. The potential to enhance SCR through the cloud is explored with scenarios on a case of supply chain operations in fashion retail industry. Findings The findings show that the proposed system can enhance all three dimensions of SCR. Implications for supply chain practice and how companies can migrate to a cloud supply chain are drawn. Originality/value Given that the development, creation and delivery of goods and services are increasingly becoming a joint effort of several parties in a supply chain, the authors contribute to the existing literature by introducing a comprehensive C-SCM system and show how companies can enhance their SCR.
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Jede, Andreas, and Frank Teuteberg. "Towards cloud-based supply chain processes." International Journal of Logistics Management 27, no. 2 (August 8, 2016): 438–62. http://dx.doi.org/10.1108/ijlm-09-2014-0139.

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Purpose – There are cloud computing (CC) services available for various applications within the supply chain management (SCM). These services offer, for example, consistent global networking platforms and enable quick decision making, which may strengthen competitive advantages. The specification of the single-related elements and the coordination mechanisms between actors and information flows is complex. In this paper, the authors argue that reference models can accelerate understanding these processes. The purpose of this paper is to gain an understanding of the current state of the underlying research field and to present a reference model that supports theory and practice in adopting CC services at SCM. Design/methodology/approach – This paper provides a cross-discipline systematic literature review from the research perspectives of information systems and SCM. Based on 102 papers, the authors designed a reference model showing the interrelations between various elements of CC and SCM. Findings – The authors discover the most important chances and risks for CC implementations in supply chain (SC) processes and pay special attention to SC sustainability aspects of CC. Until now, SCM research in the realm of CC usage is still in its infancy both in theory and practice. Originality/value – To the best of the authors’ knowledge, there is no systematic literature review that consistently focusses CC usage within SC processes while integrating specific aspects of strategic theory. The obtained insights lead to the first SCM-related reference model for CC usage.
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Truong, Dothang. "Efficiency and Risk Management Models for Cloud-Based Solutions in Supply Chain Management." International Journal of Business Analytics 2, no. 2 (April 2015): 14–30. http://dx.doi.org/10.4018/ijban.2015040102.

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Cloud computing has been proven to have numerous benefits for organizations, especially in supply chain management. More and more organizations have adopted cloud-based solutions to be their primary sourcing applications. Nevertheless, this technology is not without challenges, and in order to deploy and implement cloud-based solutions successfully with minimal risks organizations need to have practical guidance on this emerging technology. Despite the rapid growth of cloud computing in supply chain areas, the existing literature is still conceptual, inadequate, and mainly focused on the pre-adoption stage of this technology. This research examines the post-adoption stage of cloud-based supply chain solutions from the decision science perspective and intends to provide organizations with practical guidance on how to ensure the efficiency of a cloud-based supply chain system and control risks associated with cloud-based solutions.
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Shee, Himanshu, Shah Jahan Miah, Leon Fairfield, and Nyoman Pujawan. "The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management." Supply Chain Management: An International Journal 23, no. 6 (September 10, 2018): 500–517. http://dx.doi.org/10.1108/scm-09-2017-0309.

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PurposeTheorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 105 Australian retail firms, this study used structural equation modelling to test the hypothesised relationship of cloud-enabled SCI with performance in a theoretical model.FindingsResults show that cloud-based technology has positive effect on SCI, and the cloud-enabled SCI is positively related to supply chain performance which eventually influenced firm sustainability. Further, top management intervention moderates the relationship between supplier and internal integration with supply chain performance. But it is found to have no moderating effect on the relationship between customer integration and supply chain performance.Practical implicationsRecognising the potential benefits of emerging cloud-based technologies reported in this study, retail managers need to understand that higher order SCI requires the support of cloud-based technology to improve supply chain performance and firm sustainability.Originality/valueThis research extends prior research of information and communication technologies-enabled SCI and its effect on supply chain performance which overly remains inconsistent. In addition, IS literature abounds with discussion on cloud computing technologyper se, and its adoption in supply chain is overly rhetoric. This study fills this gap by conceptualising the multiple dimensions of SCI enabled by cloud-based technology and the way it affects supply chain and firm sustainable performance. Investigating SCI in context of cloud-based technology is a unique contribution in this study. The moderating effect of top management in this decision also adds to the current body of literature.
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Schniederjans, Dara G., Koray Ozpolat, and Yuwen Chen. "Humanitarian supply chain use of cloud computing." Supply Chain Management: An International Journal 21, no. 5 (August 8, 2016): 569–88. http://dx.doi.org/10.1108/scm-01-2016-0024.

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Purpose The purpose of this paper is to examine the impact of cloud computing (CC) use on collaboration and its ultimate impact on the agility of humanitarian supply chains. Further, this paper aims to analyze the moderating role of inter-organizational trust in the relationship between CC use and collaboration. Design/methodology/approach This paper provides an empirical assessment of CC use based on an interview analysis of 19 individuals from humanitarian organizations. A survey questionnaire is later used with 107 participants from US relief organizations. Partial least squares test is used to examine the relationships depicted in the conceptual model. Findings The results provide an account of how CC is used in a humanitarian context. Further, the results indicate that CC use has a positive and significant impact on collaboration between humanitarian organizations and their suppliers. Collaboration is found to be significantly positively associated with agility in humanitarian organizations. Research limitations/implications No study, to the best of the authors’ knowledge, has empirically assessed the impact of CC use on humanitarian supply chain collaboration. This will be the first study to empirically analyze the relationships between CC use, inter-organizational trust, collaboration and agility in a humanitarian context. Practical implications This study provides a theoretically and empirically validated model depicting the relationships between CC use, collaboration, agility and inter-organizational trust in humanitarian supply chains. Humanitarian organizations can use these findings to optimize agility. Originality/value This study contributes to supply chain management research, particularly humanitarian supply chain management knowledge, by empirically examining the usefulness of CC use on collaboration and agility in the supply chain.
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Shirzad Talatappeh, Sahra, and Ali Lakzi. "Developing a model for investigating the impact of cloud-based systems on green supply chain management." Journal of Engineering, Design and Technology 18, no. 4 (November 27, 2019): 741–60. http://dx.doi.org/10.1108/jedt-06-2019-0161.

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Purpose Cloud computing is one of the technologies that improves performance and reduces costs in companies through flexible and easy access to computational resources. Supply chain management is one of the widespread and unlimited computing resources. Applying cloud computing to the green supply chain will eliminate constraints and speed up the implementation of various chain processes. Therefore, this paper aims to present a model and framework for assessing the impact of cloud computing on green supply chain management, which improves the performance of the resulting system in comparison with previous systems. Design/methodology/approach In this study, a self-made questionnaire containing 38 questions was used to collect data. The questions were compiled based on the variables identified in previous studies. Besides, the answers to the questions were based on the five-point Likert scale (strongly disagree, disagree, no opinion, agree and strongly agree). By reviewing the subject literature, the factors that affect the green supply chain management have been identified, which include cost of services, user-friendly software, energy consumption, subscription and collaboration capabilities and self-service ability. Findings The findings confirmed the fitness of the proposed model and showed the impact of cloud computing on green supply chain management. In addition, results showed that considered variables (service cost, user-friendly applications, energy consumption, sharing and collaboration and self-service) significantly affect the success management of green supply chain. Practical implications The results of this research show that, to help effective management of the complexity of the supply chain, many companies have adopted an advanced IT strategy to increase the flow of information and, in turn, to increase their competitive advantage. Originality/value The development of a cloud computing-based green supply chain management system can lead to improved system performance compared to traditional systems, which can revolutionize a wide range of industries and businesses by clarification of businesses and making the processes smart. It can also reduce costs and improve performance of micro- and macro-business firms. Therefore, the purpose of this study is to provide a model for investigating the impact of cloud-based IT systems on green supply chain management.
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Zhang, Fuan, and Zhenzhi Gong. "Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things." Mathematical Problems in Engineering 2021 (February 23, 2021): 1–12. http://dx.doi.org/10.1155/2021/6670718.

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With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.
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Kasemsap, Kijpokin. "Adopting Cloud Computing in Global Supply Chain." International Journal of Social and Organizational Dynamics in IT 4, no. 2 (July 2015): 49–62. http://dx.doi.org/10.4018/ijsodit.2015070105.

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The objective of this article is to review the adoption of cloud computing in global supply chain. The literature review describes the overviews of cloud computing and supply chain management (SCM); the emerging trends of cloud computing in global supply chain; and the adoption of cloud computing in global supply chain. The findings suggest that cloud-based supply chain represents a network of interconnected organizations in the cloud computing area involved in the provision of products and services required by customers. The advent of cloud computing services as well as their steady improvement in such areas as security and reliability make these solutions a logical choice for executives in the supply chain organizations who require the latest innovations, functionality, and efficiency as well as cost effectiveness.
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Yan, Junwei, Sijin Xin, Quan Liu, Wenjun Xu, Liwen Yang, Li Fan, Bo Chen, and Qiang Wang. "Intelligent Supply Chain Integration and Management Based on Cloud of Things." International Journal of Distributed Sensor Networks 10, no. 3 (January 2014): 624839. http://dx.doi.org/10.1155/2014/624839.

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Jamal, S. M. Khalid, A. Omer, and Asiya Abdus Salam Qureshi. "Cloud Computing Solution and Services for RFID Based Supply Chain Management." Advances in Internet of Things 03, no. 04 (2013): 79–85. http://dx.doi.org/10.4236/ait.2013.34011.

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Dissertations / Theses on the topic "Cloud based supply chain management"

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Kochan, Cigdem Gonul. "The Impact of Cloud Based Supply Chain Management on Supply Chain Resilience." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804986/.

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On March 2011 a destructive 9.0-magnitude earthquake and tsunami along with nuclear explosions struck northeastern Japan; killing thousands of people, halting industry and crippling infrastructure. A large manufacturing company operating outside of Japan received the news in the middle of the night. Within a few hours of the tsunami hitting Japan, this manufacturer’s logistics team ran global materials management reports to communicate the precise status of the products originating from Japan to their entire global network of facilities. With this quick and far reaching communication the manufacturer was able to launch a successful contingency plan. Alternative suppliers, already existing as part of their global network, were evaluated and used to mitigate Japan’s disruptive impact. The resiliency of this manufacturer’s trusted network of supply chain trading partners allowed for minimum disruptions, saving countless money and maintaining continuity for its end-to-end supply chain. This manufacturer was part of a cloud-based supply chain that provided the catalyst to quickly shift its resources to allay the impact of no longer being able to receive product from Japan. Today's supply chains are global and complex networks of enterprises that aim to deliver products in the right quantity, in the right place, and at the right time in an increasingly volatile and unpredictable environment. To cope with internal and external supply chain instability and disruptions, supply chains need to be resilient to survive. A supply chain's ability to collaboratively share information with its supply chain partners is one of the most important factors that enhance a supply chain’s resilience. Cloud based supply chain management (SCM) creates a platform that enables collaborative information sharing that helps to identify, monitor and reduce supply chain risks, vulnerabilities and disruptions. However, supply chain academics and practitioners are at its infancy in understanding the capabilities of cloud based supply chains and its impact on resiliency. The goal of this dissertation is to explore how cloud based SCM make supply chains more resilient to disruptions. To achieve this goal the present research addresses the following fundamental research question: What is the impact of cloud based supply chain management (SCM) on supply chain resilience? To address this research question, this dissertation is comprised of three separate but interrelated essays. The first essay uses the systematically literature review (SLR) method to provide clear definitions of supporting constructs of supply chain resiliency (SCRES), classify the capabilities of SCRES, and identify existing research gaps and future SCRES research ideas. The second essay applies resource-based view (RBV) and dynamic capabilities as the theoretical lens to investigate the role of cloud based SCM in establishing SCRES. The second essay develops a theory-driven, conceptual model to illustrate and explain the relationships among cloud based SCM, SCRES, and the supply chain capabilities identified in the first essay. The third essay uses systems dynamics theory to develop two novel casual loop diagrams (CLD) and its equivalent systems dynamics (SD) models to quantitatively analyze the impact of cloud based information sharing on supply chain performance. A hospital supply chain is used as an illustrative example to show the positive impact on performance. Lead-time, inventory spend, and customer service levels are the comparative performance metrics used in this essay and are consistent with the findings of essays 1 and 2. One CLD and its equivalent SD model represent a traditional on-premise hospital supply chain information sharing platform and the other represent a cloud based hospital information sharing platform. The SD models simulate and compare the performance of the traditional and cloud based hospital supply chain platforms.
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Hassanzadeh, Soheil. "A cloud manufacturing based approach to suppliers selection and its implementation and application perspectives." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/12688.

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Multi-service outsourcing has become an important business approach since it can significantly reduce service cost, shorten waiting time, improve the customer satisfaction and enhance the firm’s core competence. In fact, on-demand cloud resources can lead manufacturers to improve their business processes and use an integrated and intelligent supply chain network. In addition, cloud manufacturing, as an emerging manufacturing system technology, will likely enable small and medium sized enterprises (SMEs) to move towards using dynamic scalability and ‘free’ available data resources in a virtual manner. Although there has been some research in these areas, there is still a lack of proper cloud based solutions for the whole manufacturing supply chain network. In addition, of the research papers studied, only a few reviewed and implemented the cloud based supply chain from a decision-making point of view, especially in suppliers evaluation and selection studies. Most studies only focused on cloud-based supply chain definitions, architectures, applications, advantages and limitations which can be offered to SMEs. Hence, a comprehensive research study to find an optimum set of suppliers for a number of goods and services required for a project within the cloud manufacturing context is necessary. Providing real and multi-way relationships through a suppliers selection process based on an intelligent cloud-based manufacturing supply chain network, by using the Internet, is the main aim of this research. The research has an emphasis on multi-criteria decision making approach. The proposed model is based on ‘Goal Integer 0-1 Programming’ method for the suppliers selection part and ‘Linear Programming’ method for the project planning part. The proposed framework consists of four modules, namely a) multi-criteria module, b) bidding module, c) optimisation module, and d) learning module. Learning module allows the model to learn about the suppliers’ past performance over the course of the system’s life. Average performance measures are calculated over a moving fixed period, results of which are stored in a ‘dynamic memory’ element as linked to the suppliers’ database. The methodological approach is validated based on a case study in the oil and gas industry, characterised by 29 services linked together in a network structure, 108 suppliers, and 128 proposals for the services. The case study covers a variety of services from designing to manufacturing and delivery. On the implementation side, a cloud manufacturing based suppliers selection system (OPTiSupply.uk®) is designed and uploaded on the virtual server of Amazon EC2. The system enables customers and suppliers to offer and receive various services on the Web. Apart from the user interface functionality, the system also allows interaction with the MS-Excel© based data and the associated mathematical programming.
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Tröger, Ralph. "Supply Chain Event Management – Bedarf, Systemarchitektur und Nutzen aus Perspektive fokaler Unternehmen der Modeindustrie." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-155014.

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Supply Chain Event Management (SCEM) bezeichnet eine Teildisziplin des Supply Chain Management und ist für Unternehmen ein Ansatzpunkt, durch frühzeitige Reaktion auf kritische Ausnahmeereignisse in der Wertschöpfungskette Logistikleistung und -kosten zu optimieren. Durch Rahmenbedingungen wie bspw. globale Logistikstrukturen, eine hohe Artikelvielfalt und volatile Geschäftsbeziehungen zählt die Modeindustrie zu den Branchen, die für kritische Störereignisse besonders anfällig ist. In diesem Sinne untersucht die vorliegende Dissertation nach einer Beleuchtung der wesentlichen Grundlagen zunächst, inwiefern es in der Modeindustrie tatsächlich einen Bedarf an SCEM-Systemen gibt. Anknüpfend daran zeigt sie nach einer Darstellung bisheriger SCEM-Architekturkonzepte Gestaltungsmöglichkeiten für eine Systemarchitektur auf, die auf den Designprinzipien der Serviceorientierung beruht. In diesem Rahmen erfolgt u. a. auch die Identifikation SCEM-relevanter Business Services. Die Vorzüge einer serviceorientierten Gestaltung werden detailliert anhand der EPCIS (EPC Information Services)-Spezifikation illustriert. Abgerundet wird die Arbeit durch eine Betrachtung der Nutzenpotenziale von SCEM-Systemen. Nach einer Darstellung von Ansätzen, welche zur Nutzenbestimmung infrage kommen, wird der Nutzen anhand eines Praxisbeispiels aufgezeigt und fließt zusammen mit den Ergebnissen einer Literaturrecherche in eine Konsolidierung von SCEM-Nutzeffekten. Hierbei wird auch beleuchtet, welche zusätzlichen Vorteile sich für Unternehmen durch eine serviceorientierte Architekturgestaltung bieten. In der Schlussbetrachtung werden die wesentlichen Erkenntnisse der Arbeit zusammengefasst und in einem Ausblick sowohl beleuchtet, welche Relevanz die Ergebnisse der Arbeit für die Bewältigung künftiger Herausforderungen innehaben als auch welche Anknüpfungspunkte sich für anschließende Forschungsarbeiten ergeben.
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Karkošková, Soňa. "Vliv Cloud Computingu na Supply Chain Management." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199759.

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Master thesis "Impact of Cloud Computing on Supply Chain Management" analyses the provisioning of IT resources in the form of cloud computing services and their impact on supply chain management environment. Attention is focused particularly on providing SaaS model of public applications delivery. The Cloud SCM implementation offers many advantages especially for small and medium sized companies. In this thesis I analysed the specifics of the deployment of Cloud SCM in highly unstable market environment, where a number of business partners share with each other relatively large amount of information. I identified factors of cloud computing, which have a significant impact on supply chain management. At the end of this thesis I analysed the trends of market supply, determined the leading providers of Cloud SCM and identified the specifics of selecting a suitable provider.
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Dalewska, Izabela Paulina. "The Use of Cloud Computing in Supply Chain Management." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193502.

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In the thesis, the author wanted to research the topic of implementation of cloud-based solutions in the area of Supply Chain Management. The first part is devoted to theoretical background of Cloud Computing -- different types of solutions are suitable for various kinds of business activity, and Supply Chain Management. In the second part, the author focused on an analysis of a company - FN Granum and searched for a Cloud Computing solution, which would be the best for it, taking into account current situation and future plans of the entity. Such extensive research resulted in a set of conclusions and recommendations, which may be helpful for any manager considering an implementation of cloud-based solutions into their supply chains.
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Shi, Guang. "Natural resource based green supply chain management." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/4090/.

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Leung, Chun-wai David, and 梁俊偉. "An agent-based negotiation framework for supply chain management." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B26651129.

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Martin, Brandon Todd. "Opportunities for an Online GIS-Based Wood Supply Management System." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/34440.

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The forest industry has become more complex due in part to increasing global competition. The highly fragmented nature of the forest industry supply chain and lack of interaction between industry segments can cause major supply/demand inequalities. This fragmented nature can lead to unnecessary lead time and costly inefficiencies for business transactions. The objective of this research project is to develop the concept of using an Internet-based, Geographic Information System (GIS)-supported, optimized wood supply chain management system to overcome some of the current inefficiency problems. Currently many different forms of relevant supply chain management information can be found on the World Wide Web. Through review of Internet-related material, this project identified three classes of existing web resources relevant to the development of a forest industry supply chain management system: resource, market, and e-commerce sites. Internet information provides many of the basic data attributes needed in a supply chain management system. This project demonstrated that linking this data with geographic/spatial location (georeferencing) could add an extra dimension in the planning and decision making processes and will be a key development to push the boundaries of supply chain optimization. Within the forest industry, georeferencing of supply chain business entities can easily be done with GIS. Using GIS, members of the forest industry supply chain can be visually and spatially allocated to form a grand forest industry supply chain overview and specific business opportunities using this geo-referenced data platform can be developed. Although the technology exists to produce a high quality Internet-based supply chain network system, there are challenges in producing a system that is truly integrated among all industry partners. Technology obstacles, anti-trust regulation, reluctance to use the online platforms, and inaccurate information input and dispersal are some of the major issues facing a supply chain management tool that are discussed in this report. To demonstrate how a GIS-based supply chain management system could be implemented, three case studies have been presented to show how the proposed system would benefit the current industry in realistic situations. These include (1) a simple location-based search of consulting foresters, (2) a trucking logistic optimization, and (3) a quantitative resource assessment within a manufacturing facility procurement area. Case 1 demonstrates how geocoded landowner and consulting forester information can add efficiency in communication and services provided. Case 2 demonstrates that GIS paired with geocoded information gives a logger increased decision-making power by choosing the most profitable option in a choice between sawmills that includes transportation costs. Lastly, case 3 shows that by analyzing geocoded resource information, a manufacturer can make the proper decision of whether to expand or contract operations. In each case, added value was given to market players that were able to have analysis power through geocoded information. This information is not readily used at the present time and could potentially add value along many steps of the forest industry supply chain.
Master of Science
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Stremler, David Jay. "Constraint-based supply chain inventory deployment strategies." Master's thesis, Mississippi State : Mississippi State University, 2001. http://library.msstate.edu/etd/show.asp?etd=etd-11102001-070052.

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Banerjee, Saikat M. Eng Massachusetts Institute of Technology. "E-commerce based closed-loop supply chain for plastic recycling." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127105.

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Thesis: M. Eng. in Supply Chain Management, Massachusetts Institute of Technology, Supply Chain Management Program, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 73-77).
The world is facing a grave plastic waste problem. It is not new that we hear about oceanic death and morbid landfills. Only 8% of all the plastic produced is recycled in the US. This grotesque situation has been worsened by the Chinese ban of plastic waste imports from the developed western nations as of 2018. In this research we assess the feasibility of a novel approach to using existing e-commerce reverse logistics channels to take back post-consumer plastic. We use product sales data to estimate the post-consumer plastic volume. We then, design a mixed integer linear programming (MILP) based optimization model to assess different take-back routes and calculate various operational costs. In addition to the optimization model we determine the feasibility of this process by considering cost offsets such as price of virgin plastics. After that, we conduct a scenario-based sensitivity analysis to understand systemic cost and overall profit. We used the results of these analyses to formulate the strategic recommendations for companies interested in promoting or implementing e-commerce-based recycling programs. Finally, we assess the greenhouse gas emissions and corresponding externality costs through this process and perform a qualitative assessment of the stakeholder networks vital to making such a system operational. In conclusion, our results suggest that in certain scenarios it is economically feasible to facilitate a take-back process for post-consumer plastic using existing e-commerce-based reverse logistics channels while maintaining minimal additional emissions in the process.
by Saikat Banerjee.
M. Eng. in Supply Chain Management
M.Eng.inSupplyChainManagement Massachusetts Institute of Technology, Supply Chain Management Program
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Books on the topic "Cloud based supply chain management"

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Sharma, Vinit. The Cloud-Based Demand-Driven Supply Chain. Hoboken, NJ, USA: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119477792.

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Chaib-draa, Brahim, and Jörg P. Müller, eds. Multiagent based Supply Chain Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-33876-5.

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Knolmayer, Gerhard, Peter Mertens, and Alexander Zeier. Supply Chain Management Based on SAP Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-540-24816-3.

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Brandenburg, Marcus. Quantitative Models for Value-Based Supply Chain Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31304-2.

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Kovalenko, Vladimir. Design of information systems. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/987869.

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The tutorial discusses the design features of information systems (is) involved in the implementation of CALS technologies: MRP/MRPII/ERP systems, e-Commerce systems (B2B), supply chain management (SCM), customer relationship management (CRM), and decision support systems (OLAP). The issues of choosing the design technology, software tools for project development, building functional and information models in the environment of Business Studio, MS Visio, Elma, AllFusion Modeling Suite and Oracle Designer 10g, as well as the development of technical and operational documentation are highlighted. The characteristics of CASE technologies and their implementation in the Oracle Designer 10g environment are considered. A comparative analysis of the standards of the organization of the life cycle of creating and using IP, practical recommendations for the development of standard profiles, examples of the development of an IP project based on a cascading model of the life cycle, including using a process approach in the management and automation of processes. The models of the client — server architecture and the structure of cloud computing are considered. Modern approaches to the selection of ready-made is and their implementation in automated enterprises are studied in detail. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is intended for students (bachelors and specialists) and masters of higher educational institutions studying in the direction of "Applied Informatics". It is also recommended for teachers and specialists working in the field of information technology.
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Taylor, Mark P. Knowledge-based systems in supply chain management: Buying power : a model of promotional worth. Edinburgh: University of Edinburgh, Management School, 1994.

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Web-based supply chain management and digital signal processing: Methods for effective information administration and transmission. Hershey, PA: Business Science Reference, 2010.

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Ramachandra, Manjunath. Web-based supply chain management and digital signal processing: Methods for effective information administration and transmission. Hershey, PA: Business Science Reference, 2010.

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Manjunath, R. Web-based supply chain management and digital signal processing: Methods for effective information administration and transmission. Hershey, PA: Business Science Reference, 2010.

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Peter, Mertens, Zeier Alexander 1969-, and Wang Tianyang, eds. Gong ying lian guan li yu SAP xi tong shi xian: Supply chain management based on SAP systems. Beijing Shi: Ji xie gong ye chu ban she, 2004.

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Book chapters on the topic "Cloud based supply chain management"

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Haasis, Hans-Dietrich, Thomas Landwehr, Guido Kille, and Michael Obsadny. "Cloud-Based eBusiness Standardization in the Maritime Supply Chain." In Logistics Management, 265–76. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13177-1_21.

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Hao, Yuqiuge, Ahm Shamsuzzoha, and Petri Helo. "Cloud-based Data Storage for Data Management in the Virtual Factory." In Cloud Systems in Supply Chains, 280–99. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137324245_17.

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Alfirevic, Niksa, Darko Rendulic, and Anita Talaja. "Application of a Cloud-Based Supply Chain Management System to Achieve Mass Customization: Best Practices from the Automotive Industry." In Cloud Systems in Supply Chains, 36–48. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137324245_3.

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Baral, Manish Mohan, and Amitabh Verma. "Cloud-Based Intelligent System for Supply Chain Management: A Future Roadmap for SCM Technologies." In Nanoelectronics, Circuits and Communication Systems, 13–24. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0776-8_2.

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Bruzzone, Agostino G., Marina Massei, Francesco Longo, Davide Scalzo, Carlo Martini, Jonathan Villanueva, and Luca Bucchianica. "Simulation Based Design of Innovative Quick Response Processes in Cloud Supply Chain Management for “Slow Food” Distribution." In Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems, 25–34. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2669-0_4.

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Chandra, Charu, and Jānis Grabis. "Mobile and Cloud Based Technologies." In Supply Chain Configuration, 229–41. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3557-4_12.

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Pullman, Madeleine, and Zhaohui Wu. "Crop-Based Supply Chains." In Food Supply Chain Management, 57–84. 2nd ed. Second edition. | New York, NY: Routledge, 2021. | Previous edition published in 2011.: Routledge, 2021. http://dx.doi.org/10.4324/9780429329883-4.

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Fox, Mark S., Mihai Barbuceanu, and Rune Teigen. "Agent-Oriented Supply-Chain Management." In Information-Based Manufacturing, 81–104. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1599-9_5.

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Singh, Rajni. "Online Supply Chain Management and Business Ethics." In Cloud Systems in Supply Chains, 300–308. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137324245_18.

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Ivanov, Dmitry, Boris Sokolov, and Joachim Käschel. "Adaptation-Based Supply Chain Resilience." In Supply Chain Safety Management, 267–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32021-7_17.

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Conference papers on the topic "Cloud based supply chain management"

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Karumanchi, Mani Deep, J. I. Sheeba, and S. Pradeep Devaneyan. "Cloud Based Supply Chain Management System Using Blockchain." In 2019 4th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT). IEEE, 2019. http://dx.doi.org/10.1109/iceeccot46775.2019.9114692.

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Chandra, Dissa R., and Jos van Hillegersberg. "The governance of cloud based Supply Chain Collaborations." In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2015. http://dx.doi.org/10.1109/ieem.2015.7385919.

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Wang, Fuhong, Jinli Guo, and Qian Zhan. "Supply Chain Quality Management System Research Based on Cloud Technology." In International Conference of Information Science and Management Engineering. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/isme20141662.

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CARBONE, ANNA, DANCO DAVCEV, KOSTA MITRESKI, LJUPCO KOCAREV, and VLADO STANKOVSKI. "Blockchain based Distributed Cloud Fog Platform for IoT Supply Chain Management." In Eighth International Conference On Advances in Computing, Electronics and Electrical Technology - CEET 2018. Institute of Research Engineers and Doctors, 2018. http://dx.doi.org/10.15224/978-1-63248-144-3-37.

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YiPeng, Li. "The Impact of "Cloud Computing"-based Information Sharing on Supply Chain." In 2011 Fifth International Conference on Management of E-Commerce and E-Government (ICMeCG). IEEE, 2011. http://dx.doi.org/10.1109/icmecg.2011.39.

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Wei, Yihang. "Blockchain-based Data Traceability Platform Architecture for Supply Chain Management." In 2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS). IEEE, 2020. http://dx.doi.org/10.1109/bigdatasecurity-hpsc-ids49724.2020.00025.

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Dahbi, Abdelmounaim, and Hussein T. Mouftah. "Supply chain efficient inventory management as a service offered by a cloud-based platform." In ICC 2016 - 2016 IEEE International Conference on Communications. IEEE, 2016. http://dx.doi.org/10.1109/icc.2016.7510722.

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Chhibber, Divy, Aditi Tripathi, and Sandip Ray. "Do VIR: Virtualizing Food Donation Distribution through Mobile Application and Cloud-Based Supply Chain Management." In 2021 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2021. http://dx.doi.org/10.1109/icce50685.2021.9427641.

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Liu, Xiaojun, Qiuling Li, and Ivan Ka-Wai Lai. "A trust model for the adoption of cloud-based supply chain management systems: A conceptual framework." In 2013 International Conference on Engineering, Management Science and Innovation (ICEMSI). IEEE, 2013. http://dx.doi.org/10.1109/icemsi.2013.6913980.

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Wang, Long Mei, and Jing Song. "Research on the Construction of Financial Sharing Service Platform Based on ERP Supply Chain Management in the Cloud Computing Environment." In Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/aebmr.k.191217.088.

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Reports on the topic "Cloud based supply chain management"

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Hurst, Dana. Performance Based Logistics - A Bridge Between Acquisition Reform and Logistics Supply Chain Management. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada449332.

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Sherrod, Curt. Development of an Agent-Based Supply Chain Management Simulation Tool Using the SCOR Model as the Foundation. Fort Belvoir, VA: Defense Technical Information Center, June 2009. http://dx.doi.org/10.21236/ada510452.

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Merten, Martina, Susann Roth, and Fazilah Shaik Allaudin. Public Health Innovations for COVID-19: Finding, Trusting, and Scaling Innovation. Asian Development Bank, October 2020. http://dx.doi.org/10.22617/wps200283-2.

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The public and private sector, civil society, and academic institutions have developed many innovative solutions to manage public health aspects of the coronavirus disease (COVID-19) pandemic. Innovators have focused on tools for surveillance, supply chain management, clinical trials, diagnosis, communication, and developing vaccines. These have been supplemented by research collaboration platforms, isolation and hospital upgrading novelties, as well as risk stratification resources. This paper provides an overview of these solutions to enhance the evidence-based application of innovative public health approaches. The author’s also propose that a “living platform” for sharing public health innovations is developed.
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