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Author: Kusum Deep
Publisher: Springer
ISBN: 9811308721
Category : Business & Economics
Languages : en
Pages : 250
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Book Description
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.
Author: Kusum Deep
Publisher: Springer
ISBN: 9811308721
Category : Business & Economics
Languages : en
Pages : 250
Get Book Here
Book Description
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.
Author: Iman Rahimi
Publisher: CRC Press
ISBN: 1000326918
Category : Computers
Languages : en
Pages : 211
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Book Description
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.
Author: Stephen Gong
Publisher: Elsevier
ISBN: 0128138319
Category : Social Science
Languages : en
Pages : 344
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Book Description
Finance and Risk Management for International Logistics and the Supply Chain presents a detailed overview of financial and risk management tools, activity-based costing, and multi-criteria decision-making, providing comprehensive guidance for those researching and working in logistics and supply chain management. The book breaks new ground, combining the expertise of leading authorities to analyze and navigate the funding components for these critical transportation functions. As the international logistics and supply chain transportation fields have recently received heavy investments, this research and the theory behind it provide a timely update on risk management, finance and legal and environmental impacts. Users will find sections that address the wide-ranging issues related to this emerging field that are presented from an international and holistic perspective. - Provides a valuable reference covering the full slate of financial issues of interest to global players in the international transport, logistics and supply chain industries - Covers a truly international perspective, addressing a diverse variety of worldwide transport, logistics and supply chain contexts - Features finance and risk-management strategies related to the banking industry, exchange rates, fuel prices, climate-related funding, freight derivatives and legal aspects
Author: Nada R. Sanders
Publisher: Pearson Education
ISBN: 0133762823
Category : Business & Economics
Languages : en
Pages : 273
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Book Description
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.
Author: Emel Aktas
Publisher: Kogan Page Publishers
ISBN: 1789660742
Category : Business & Economics
Languages : en
Pages : 313
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Book Description
Supply Chain 4.0 has introduced automation into logistics and supply chain processes, exploiting predictive analytics to better match supply with demand, optimizing operations and using the latest technologies for the last mile delivery such as drones and autonomous robots. Supply Chain 4.0 presents new methods, techniques, and information systems that support the coordination and optimization of logistics processes, reduction of operational costs as well as the emergence of entirely new services and business processes. This edited collection includes contributions from leading international researchers from academia and industry. It considers the latest technologies and operational research methods available to support smart, integrated, and sustainable logistics practices focusing on automation, big data, Internet of Things, and decision support systems for transportation and logistics. It also highlights market requirements and includes case studies of cutting-edge applications from innovators in the logistics industry.
Author: Tan Miller
Publisher: Business Expert Press
ISBN: 194944385X
Category : Business & Economics
Languages : en
Pages : 201
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Book Description
This book illustrates and explains a wide range of practical logistics strategies and analytic techniques to facilitate decision-making across functions such as manufacturing, warehousing, transportation, and inventory management. Logistics professionals must utilize a broad array of analytic techniques and approaches for decision-making. Effective use of analytics requires an understanding of both fundamental and advanced logistics decision-making techniques and methodologies. Further, logistics professionals must organize and view these analytics-based decision support tools through well-structured planning frameworks. In this book, we illustrate and explain a wide range of practical logistics strategies and analytic techniques to facilitate decision-making across functions such as manufacturing, warehousing, transportation and inventory management. We also describe how to organize these analytics-based tools and strategies through logistics frameworks that span strategic, tactical and operational planning and scheduling decisions. This book is intended for logistics professionals to use as a reference document that offers ideas and guidance for addressing specific logistics management decisions and challenges, and it will also serve as a valuable resource or secondary text for graduate and advanced undergraduate students.
Author: Michael Watson
Publisher: Pearson Education
ISBN: 0133017370
Category : Business & Economics
Languages : en
Pages : 320
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Book Description
Introduction and basic building blocks. Adding costs to two echelon supply chains. Advanced modeling and expanding to multiple echelons. How to get industrial streng results. Case study wrap up.
Author: David Simchi-Levi
Publisher: Springer Science & Business Media
ISBN: 0387226192
Category : Mathematics
Languages : en
Pages : 355
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Book Description
Fierce competition in today's global market provides a powerful motivation for developing ever more sophisticated logistics systems. This book, written for the logistics manager and researcher, presents a survey of the modern theory and application of logistics. The goal of the book is to present the state-of-the-art in the science of logistics management. As a result, the authors have written a timely and authoritative survey of this field that many practitioners and researchers will find makes an invaluable companion to their work.
Author: Alejandro Serrano
Publisher: MIT Press
ISBN: 0262043599
Category : Business & Economics
Languages : en
Pages : 481
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Book Description
An introduction to financial tools and concepts from an operations perspective, addressing finance/operations trade-offs and explaining financial accounting, working capital, investment analysis, and more. Students and practitioners in engineering and related areas often lack the basic understanding of financial tools and concepts necessary for a career in operations or supply chain management. This book offers an introduction to finance fundamentals from an operations perspective, enabling operations and supply chain professionals to develop the skills necessary for interacting with finance people at a practical level and for making sound decisions when confronted by tradeoffs between operations and finance. Readers will learn about the essentials of financial statements, valuation tools, and managerial accounting. The book first discusses financial accounting, explaining how to create and interpret balance sheets, income statements, and cash flow statements, and introduces the idea of operating working capital—a key concept developed in subsequent chapters. The book then covers financial forecasting, addressing such topics as sustainable growth and the liquidity/profitability tradeoff; concepts in managerial accounting, including variable versus fixed costs, direct versus indirect costs, and contribution margin; tools for investment analysis, including net present value and internal rate of return; creation of value through operating working capital, inventory management, payables, receivables, and cash; and such strategic and tactical tradeoffs as offshoring versus local and centralizing versus decentralizing. The book can be used in undergraduate and graduate courses and as a reference for professionals. No previous knowledge of finance or accounting is required.
Author: Bram DeSmet
Publisher: Kogan Page Publishers
ISBN: 0749482583
Category : Business & Economics
Languages : en
Pages : 289
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Book Description
Supply Chain Strategy and Financial Metrics is a step-by-step guide to balancing the triangle of service, cost and cash which is the essence of supply chain management. Supply chains have become increasingly strategy-driven, and this Supply Chain Triangle approach puts the supply chain at the heart of the strategy discussion instead of seeing it as a result. Supply Chain Strategy and Financial Metrics fully reflects the 'inventory' or 'working capital' angle and examines the optimisation of the supply chain and Return on Capital Employed. Including case studies of Barco, Casio and a selection of food retail companies, this book covers building a strategy-driven KPI dashboard, target setting and financial benchmarking. Regular examples and diagrams illustrate how different types of strategies lead to different trade-offs in the Supply Chain Triangle. This ground-breaking text links supply chain, strategy and finance through financial metrics, therefore creating value for the shareholder. Online supporting resources include worksheets covering basic financial concepts such as cash flow and working capital, with example data sets and guidelines/exercises to make it interactive.
