Analysis And Optimization Of Supply Chain Finance Management Based On Big Data In E Commerce
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Analysis And Optimization Of Supply Chain Finance Management Based On Big Data In E Commerce
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Author : Jaykar Jadhav
language : en
Publisher:
Release Date : 2023
Analysis And Optimization Of Supply Chain Finance Management Based On Big Data In E Commerce written by Jaykar Jadhav and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
As the Internet has become more widely available, e-commerce and online shopping have thrived, making it simpler than ever for consumers and sellers to do business online. With the rise of e-commerce, there has been a corresponding increase in the need for a foolproof proof of delivery system for both customers and sellers. To verify delivery, the existing system relies only on a third party. As a result, there is now a possible vulnerability in the system. Currently available evidence from distribution channels demonstrates their transparency, openness, and traceability. The distributed ledger known as the blockchain makes it possible to have a system that is easily transferred across locations, subject to audit, and reliable. Supply chain issues may be mitigated in a number of ways, and one approach is to use the Ethereum blockchain. This solution uses a smart contract on the Ethereum blockchain to independently confirm that a package has been delivered from a seller to a buyer. Each user, including shoppers, merchants, and couriers, must sign up for an account before they may use the Web application. The seller then provides a catalog of products for customers to peruse. Messenger service is chosen according to the sentiment analysis, and payment is made in ethers at the moment of delivery.
Big Data Analytics In Supply Chain Management
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Author : Iman Rahimi
language : en
Publisher: CRC Press
Release Date : 2020-12-20
Big Data Analytics In Supply Chain Management written by Iman Rahimi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-20 with Computers categories.
In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.
Big Data Driven Supply Chain Management
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Author : Nada R. Sanders
language : en
Publisher: Pearson Education
Release Date : 2014
Big Data Driven Supply Chain Management written by Nada R. Sanders and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Business & Economics categories.
Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery... using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain -- and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.
Dealing With Digital Information Richness In Supply Chain Management
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Author : Kache, Florian
language : en
Publisher: kassel university press GmbH
Release Date : 2015
Dealing With Digital Information Richness In Supply Chain Management written by Kache, Florian and has been published by kassel university press GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Information is one of the key enablers of modern business. The ever expanding availability of digital information, however, brings with it the challenge of handling this information appropriately. While related challenges now appear in our daily lives, this is even more the case along supply chains, where a multitude of actors is involved. This doctoral thesis addresses the topic by linking theoretical rigor with practical relevance. By assessing the current state of research in supply chain management represented in literature reviews, a range of under-represented areas of research as well as potential future research directions in the field of supply chain management are identified. Focusing on one selected exemplary under-represented area of research, the thesis takes the digital business transformation perspective, portraying the value and role of digital information in a business function context. As research on the intersection of Big Data Analytics and supply chain management is still scarce, the conceptual work offers first insights into an emerging topic, both on the internal operations level and on the supply chain level. This is beneficial from a scientific as well as a managerial perspective, as a thorough understanding of the constituents of a digital ecosystem is a key ingredient for the competitiveness and overall productivity of the company and ultimately of the supply chain as a whole.
Supply Chain Analytics
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Author : Kurt Y. Liu
language : en
Publisher: Springer Nature
Release Date : 2022-04-07
Supply Chain Analytics written by Kurt Y. Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-07 with Business & Economics categories.
This innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of the applications of data analytics and machine learning to supply chain management. Accessible yet rigorous, this text introduces students to the relevant concepts and techniques needed for data analysis and decision making in modern supply chains and enables them to develop proficiency in a popular and powerful programming software. Suitable for use on upper-level undergraduate, postgraduate and MBA courses in supply chain management, it covers all of the major supply chain processes, including managing supply and demand, warehousing and inventory control, transportation and route optimization. Each chapter comes with practical real-world examples drawn from a range of business contexts, including Amazon and Starbucks, case study discussion questions, computer-assisted exercises and programming projects.
Handbook Of Quantitative Supply Chain Analysis
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Author : David Simchi-Levi
language : en
Publisher: Taylor & Francis
Release Date : 2004-05-31
Handbook Of Quantitative Supply Chain Analysis written by David Simchi-Levi and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-31 with Business & Economics categories.
The Handbook is a comprehensive research reference that is essential for anyone interested in conducting research in supply chain. Unique features include: -A focus on the intersection of quantitative supply chain analysis and E-Business, -Unlike other edited volumes in the supply chain area, this is a handbook rather than a collection of research papers. Each chapter was written by one or more leading researchers in the area. These authors were invited on the basis of their scholarly expertise and unique insights in a particular sub-area, -As much attention is given to looking back as to looking forward. Most chapters discuss at length future research needs and research directions from both theoretical and practical perspectives, -Most chapters describe in detail the quantitative models used for analysis and the theoretical underpinnings; many examples and case studies are provided to demonstrate how the models and the theoretical insights are relevant to real situations, -Coverage of most state-of-the-art business practices in supply chain management.
Supply Chain Management In The Big Data Era
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Author : Chan, Hing Kai
language : en
Publisher: IGI Global
Release Date : 2016-11-04
Supply Chain Management In The Big Data Era written by Chan, Hing Kai and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-04 with Business & Economics categories.
Technological advancements in recent years have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Supply Chain Management in the Big Data Era is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes. Highlighting emerging strategies from different industry perspectives, this book is ideally designed for managers, professionals, practitioners, and students interested in the most recent research on supply chain innovations.
Applications Of Supply Chain Management And E Commerce Research
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Author : Joseph Geunes
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-30
Applications Of Supply Chain Management And E Commerce Research written by Joseph Geunes and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-30 with Business & Economics categories.
In February 2002, the Industrial and Systems Engineering (ISE) De partment at the University of Florida hosted a National Science Founda tion Workshop on Collaboration and Negotiation in Supply Chain Man agement and E Commerce. This workshop focused on characterizing the challenges facing leading edge firms in supply chain management and electronic commerce, and identifying research opportunities for de veloping new technological and decision support capabilities sought by industry. The audience included practitioners in the areas of supply chain management and E Commerce, as well as academic researchers working in these areas. The workshop provided a unique setting that has facilitated ongoing dialog between academic researchers and industry practitioners. This book codifies many of the important themes and issues around which the workshop discussions centered. The editors of this book, all faculty members in the ISE Department at the University of Florida, also served as the workshop's coordinators. In addition to workshop participants, we also invited contributions from leading academics and practitioners who were not able to attend. As a result, the chapters herein represent a collection of research contributions, monographs, and case studies from a variety of disciplines and viewpoints. On the aca demic side alone, chapter authors include faculty members in supply chain and operations management, marketing, industrial engineering, economics, computer science, civil and environmental engineering, and building construction departments.
Logistics Supply Chain And Financial Predictive Analytics
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Author : Kusum Deep
language : en
Publisher: Springer
Release Date : 2018-08-06
Logistics Supply Chain And Financial Predictive Analytics written by Kusum Deep and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-06 with Business & Economics categories.
This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector. Divided into twenty chapters, some of the contemporary topics discussed in the book are co-operative/non-cooperative supply chain models for imperfect quality items with trade-credit financing; a non-dominated sorting water cycle algorithm for the cardinality constrained portfolio problem; and determining initial, basic and feasible solutions for transportation problems by means of the “supply demand reparation method” and “continuous allocation method.” In addition, the book delves into a comparison study on exponential smoothing and the Arima model for fuel prices; optimal policy for Weibull distributed deteriorating items varying with ramp type demand rate and shortages; an inventory model with shortages and deterioration for three different demand rates; outlier labeling methods for medical data; a garbage disposal plant as a validated model of a fault-tolerant system; and the design of a “least cost ration formulation application for cattle”; a preservation technology model for deteriorating items with advertisement dependent demand and trade credit; a time series model for stock price forecasting in India; and asset pricing using capital market curves. The book offers a valuable asset for all researchers and industry practitioners working in these areas, giving them a feel for the latest developments and encouraging them to pursue further research in this direction.
Applications Of Operational Research In Business And Industries
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Author : Angappa Gunasekaran
language : en
Publisher: Springer Nature
Release Date : 2023-05-21
Applications Of Operational Research In Business And Industries written by Angappa Gunasekaran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-21 with Business & Economics categories.
Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage. The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals. The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability. The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.