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Books > Business & Economics > Business & management > Management of specific areas > Purchasing & supply management
In a decentralized supply chain, most of the supply chain agents may not share information due to confidentiality policies, quality of information, or different system incompatibilities. Every actor holds its own set of information and attempts to maximize its objective (minimizing costs/minimizing inventory holdings) based on the available settings. Therefore, the agents control their own activities with the objective of improving their own competitiveness, which leads them to make decisions that maximize their local performance by ignoring the other agents or even the final consumer. These decisions are myopic because they do not consider the performance of all the partners to satisfy the consumer. Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics is a collection of innovative research that focuses on demand anticipation, forecasting, and order planning as well as humanitarian logistics to propose original solutions for existing problems. While highlighting topics including artificial intelligence, information sharing, and operations management, this book is ideally designed for supply chain managers, logistics personnel, business executives, management experts, operation industry professionals, academicians, researchers, and students who want to improve their understanding of supply chain coordination in order to be competitive in the new era of globalization.
This publication presents a cost-effective Oreduced informationO approach for estimating purchasing power parities (PPPs). The approach can generate more firmly based estimates of PPPs, price level indexes, and measures of real (PPP-based) expenditures than conventional extrapolation methods. The results include PPP-based gross domestic product and its major aggregates of individual consumption expenditure by households and nonprofit institutions serving households, government final consumption expenditure, gross fixed capital formation, changes in inventories and acquisitions less disposals of valuables, and balance of exports and imports.
Introduction to Operations Management: A Supply Chain Process Approach details how firms buy, make, deliver, and return goods and services around the globe, providing students with a solid foundation of operations management concepts and techniques. The text offers a set of activities that guide the effectiveness of organizations and prepare operations managers and other employees to ensure their firms are competitive. The book is organized from a strategic to a tactical perspective, beginning with foundational concepts and ending with broader discussions of managing supply chains. Dedicated chapters address corporate strategy, services design, inventory management, aggregate planning, forecasting, lean systems, quality management, integrating processes along the supply chain, and more. Numerous real-world examples, cases, and engaging exercises allow students to place themselves in the shoes of working operations management professionals. The second edition features examples of real companies using analytical tools in decision-making situations, as well as extensive web-based content including flashcards, YouTube videos, and graded chapter quizzes. The textbook's coverage also includes emerging trends for most chapters, such as sustainability, customer relationships, and working in the global marketplace. Written for today's students and the exciting, ever-evolving marketplace, the second edition of Introduction to Operations Management is the text to bring operations management into the modern era.
An Anthology in Modern Supply Chain Management Strategies provides students with a collection of readings that explain the concept of supply chain management in simple, everyday language. The chapters feature modern, recognizable examples, rendering the subject relatable and engaging. The anthology begins by providing students with an introduction and definition of supply chain management. Each following chapter addresses a critical concept related to supply chain management from an introductory perspective. Specific topics include inventory management, forecasting, logistical processes, sustainable supply management, and more. After each reading, follow-up questions help students further their understanding by encouraging them to reevaluate the chapter after reading it. Developed to pique students' interest in the field and present foundational information in an easy-to-understand manner, An Anthology in Modern Supply Chain Management Strategies is an ideal textbook for courses in business.
Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
This book gathers selected research articles from the International Conference on Innovative Product Design and Intelligent Manufacturing System (ICIPDIMS 2019), held at the National Institute of Technology, Rourkela, India. The book discusses latest methods and advanced tools from different areas of design and manufacturing technology. The main topics covered include design methodologies, industry 4.0, smart manufacturing, and advances in robotics among others. The contents of this book are useful for academics as well as professionals working in industrial design, mechatronics, robotics, and automation.
Nachstehende leilen verdanken ihre Entstehung einer Studienreise durch Ost- und Mittelkanada, die ich im Frtihiahr und Sommer 1911 als Begleiter des vortragenden Rats im Reichsmarineamt und ausser- ordentlichen Professors an der Universitat Berlin, Herrn Wirkl. Admi- ralitatsrat Dr. Kobner, unternahm. Die Studie verfolgt den lweck, aile an wirtschaftlicher Expansion Deutschlands interessierten Kreise auf die reichen Moglichkeiten auf- merksam zu machen, die Kanada, in kommerzieIler und industrieIler Hinsicht bietet. Keineswegs ist beabsichtigt, in dem ersten Teile der Arbeit eine erschOpfende wissenschaftIiche DarsteIlung der wirtschaft- lichen Orundlagen des Landes zu geben, meine Absicht ist vielmehr, Anregungen zu geben und zu zeigen, weIche schnelle Entwicklung Kanada genommen hat und weIche weiteren lukunftsaus- sichten vorhanden sind. Dabei soIlen in der Hauptsache soIche Punkte beriicksichtigt werden, die in der bisher erschienenen deutschen Literatur wenig beachtet worden sind. Der zweite Teil der Arbeit soli bei der SchLiderung der Eisen- und Stahlindustrie vor Augen flihren, wie ge- waltig ietzt schon der 'Sedarf des Landes und die Marktlage in den einzelnen Artikeln ist, so wie sie sich nach der Anschauung des Ver- fassers und den ihm erteilten Informationen darstellt. Als statistisches Material sind ausschliesslich die amtlichen kanadischen Statistiken be- nutzt worden, wobei zu beriicksichtigen ist, dass die lahlen flir 1911 nur vorlaufige sind. 1m wesentlichen werden sie aber der Wirklich- keit entsprechen.
Companies across different industries are launching technology-enabled (digital) business transformation programs to improve their strategic, tactical, and operational supply chain processes. The greatest challenges that they are facing include the lack of preparation and knowledge of the digital transformation life cycle and poorly addressing or neglecting the ""people-related"" aspects of them. Therefore, improvement initiatives have been short-lived or incomplete, and expected business benefits have not been achieved or materialized. Technology Optimization and Change Management for Successful Digital Supply Chains is a pivotal reference source that provides vital research on the application of digital business transformation programs to improve strategic, tactical, and operational supply chain processes. While highlighting topics such as maturity models, predictive analysis, and communication planning, this publication explores the limited literature in the field of digital supply chain optimization and business transformation, and complements it with practical and proven tactics from the industry. This book is ideally designed for program managers, engineers, students, and practitioners seeking current research on the field's latest best practices on digital supply chain enablement.
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