Inventory Analytics

Author : Roberto Rossi
Publisher : Open Book Publishers
Page : 184 pages
File Size : 55,7 Mb
Release : 2021-05-24
Category : Business & Economics
ISBN : 9781800641778

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Inventory Analytics by Roberto Rossi Pdf

Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control. Inventory Analytics is the first book of its kind to adopt a practicable, Python-driven approach to illustrating theories and concepts via computational examples, with each model covered in the book accompanied by its Python code. Originating as a collection of self-contained lectures, Inventory Analytics will be an indispensable resource for practitioners, researchers, teachers, and students alike.

Author : Horst Tempelmeier
Publisher : BoD – Books on Demand
Page : 290 pages
File Size : 54,7 Mb
Release : 2020-06-02
Category : Business & Economics
ISBN : 9783751930710

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Inventory Analytics by Horst Tempelmeier Pdf

This textbook provides a practice-oriented introduction into Analytics-based inventory management in complex supply chains. In the context of Business Analytics, we concentrate on Prescriptive Analytics. In addition to standard single-level inventory models also multi-level approaches for the optimal allocation of safety inventory are presented. Moreover, dynamic lot sizing problems under random demand and random yield and their relationship to Material Requirements Planning (MRP) are discussed.The models and algorithms are illustrated with the help of numerous examples. The book has been written for students of Supply Chain Management and Operations Management as well as for practitioners who are confronted with inventory management in their daily work.

Author : Andreas Ciroth,Rickard Arvidsson
Publisher : Springer Nature
Page : 216 pages
File Size : 45,9 Mb
Release : 2021-08-30
Category : Science
ISBN : 9783030622701

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Life Cycle Inventory Analysis by Andreas Ciroth,Rickard Arvidsson Pdf

Life Cycle Inventory (LCI) Analysis is the second phase in the Life Cycle Assessment (LCA) framework. Since the first attempts to formalize life cycle assessment in the early 1970, life cycle inventory analysis has been a central part. Chapter 1 “Introduction to Life Cycle Inventory Analysis“ discusses the history of inventory analysis from the 1970s through SETAC and the ISO standard. In Chapter 2 “Principles of Life Cycle Inventory Modeling”, the general principles of setting up an LCI model and LCI analysis are described by introducing the core LCI model and extensions that allow addressing reality better. Chapter 3 “Development of Unit Process Datasets” shows that developing unit processes of high quality and transparency is not a trivial task, but is crucial for high-quality LCA studies. Chapter 4 “Multi-functionality in Life Cycle Inventory Analysis: Approaches and Solutions” describes how multi-functional processes can be identified. In Chapter 5 “Data Quality in Life Cycle Inventories”, the quality of data gathered and used in LCI analysis is discussed. State-of-the-art indicators to assess data quality in LCA are described and the fitness for purpose concept is introduced. Chapter 6 “Life Cycle Inventory Data and Databases“ follows up on the topic of LCI data and provides a state-of-the-art description of LCI databases. It describes differences between foreground and background data, recommendations for starting a database, data exchange and quality assurance concepts for databases, as well as the scientific basis of LCI databases. Chapter 7 “Algorithms of Life Cycle Inventory Analysis“ provides the mathematical models underpinning the LCI. Since Heijungs and Suh (2002), this is the first time that this aspect of LCA has been fundamentally presented. In Chapter 8 “Inventory Indicators in Life Cycle Assessment”, the use of LCI data to create aggregated environmental and resource indicators is described. Such indicators include the cumulative energy demand and various water use indicators. Chapter 9 “The Link Between Life Cycle Inventory Analysis and Life Cycle Impact Assessment” uses four examples to discuss the link between LCI analysis and LCIA. A clear and relevant link between these phases is crucial.

Author : Hau Lee,Ricardo Ernst,Arnd Huchzermeier,Shiliang Cui
Publisher : Springer Nature
Page : 311 pages
File Size : 43,5 Mb
Release : 2022-10-21
Category : Business & Economics
ISBN : 9783031088711

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Creating Values with Operations and Analytics by Hau Lee,Ricardo Ernst,Arnd Huchzermeier,Shiliang Cui Pdf

This book showcases how the latest and most advanced types of analytical modeling and empirical analysis can help to create value in the global supply chain. Focusing on practical relevance, it shares valuable management insights and addresses key issues in operations management (OM), demonstrating how past research has led to various practices and impacts, while also exploring the aspirations of the latest research. It presents current research on various topics such as global supply chain design, service supply chains, product design, responsible supply chains, performance and incentives in operations, data analytics in health services, new business models in the digital age, and new digital technology advances such as blockchain. In addition, it presents practical case studies on the aforementioned topics. Beyond the value of its contents, the book is intended as a tribute to Professor Morris Cohen, who has been a major contributor to advancing the research frontier in operations management and a driving force in shaping the field. Given its scope, the book will appeal to a wide readership, from researchers and PhD students to practitioners and consultants.

Author : Roberto Rossi
Publisher : Unknown
Page : 0 pages
File Size : 42,9 Mb
Release : 2016
Category : Inventories
ISBN : OCLC:1355228371

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Inventory Analytics by Roberto Rossi Pdf

Author : Jonathan P. Pinder
Publisher : Academic Press
Page : 513 pages
File Size : 42,7 Mb
Release : 2022-02-06
Category : Business & Economics
ISBN : 9780323991179

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Introduction to Business Analytics Using Simulation by Jonathan P. Pinder Pdf

Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report and analyze business data Describes how to use and apply business analytics software Offers expanded coverage on the value and application of prescriptive analytics Includes a wealth of illustrative exercises that are newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition

Author : Anna-Lena Sachs
Publisher : Springer
Page : 111 pages
File Size : 45,9 Mb
Release : 2014-12-10
Category : Business & Economics
ISBN : 9783319133058

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Retail Analytics by Anna-Lena Sachs Pdf

This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. The book subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Furthermore, the book derives an optimal inventory policy for a multi-product setting in which the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data for bakery products.

Author : Elie Jean Touma
Publisher : ASAP Systems
Page : 110 pages
File Size : 54,9 Mb
Release : 2020-06-15
Category : Computers
ISBN : 8210379456XXX

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A BUYER’S GUIDE Inventory System and Asset Tracking Solutions by Elie Jean Touma Pdf

A Guide to Barcode Tracking Systems What to Consider Before Purchasing a Inventory System and Asset Tracking Solutions

Author : MicroStrategy Product Manuals,MicroStrategy
Publisher : MicroStrategy, Inc.
Page : 283 pages
File Size : 44,9 Mb
Release : 2013-10-31
Category : Computers
ISBN : 9781938244629

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Narrowcast Server Getting Started Guide for MicroStrategy Analytics Enterprise by MicroStrategy Product Manuals,MicroStrategy Pdf

The Narrowcast Server Getting Started Guide contains instructions to work with the tutorial to learn Narrowcast Server interfaces and features.

Author : Sneha Kumari,K.K. Tripathy,Vidya Kumbhar
Publisher : Emerald Group Publishing
Page : 171 pages
File Size : 50,7 Mb
Release : 2020-12-04
Category : Business & Economics
ISBN : 9781800438866

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Application of Big Data and Business Analytics by Sneha Kumari,K.K. Tripathy,Vidya Kumbhar Pdf

Application of Big Data and Business Analytics uses advanced analytic tools to explore the solutions to problems in society, environment and industry. The chapters within bring together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field.

Author : Wang, John
Publisher : IGI Global
Page : 2754 pages
File Size : 55,8 Mb
Release : 2014-02-28
Category : Business & Economics
ISBN : 9781466652033

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Encyclopedia of Business Analytics and Optimization by Wang, John Pdf

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.

Author : Judah Phillips
Publisher : FT Press
Page : 523 pages
File Size : 43,5 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9780134177960

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Ecommerce Analytics by Judah Phillips Pdf

Ecommerce analytics encompasses specific, powerful techniques for collecting, measuring, analyzing, dashboarding, optimizing, personalizing, and automating data related to online sales and customers. If you participate in the $220 billion ecommerce space, you need expert advice on applying these techniques in your unique environment. Ecommerce Analytics is the only book to deliver the focused, coherent, and practical guidance you’re looking for. Authored by leading consultant and analytics team leader Judah Phillips, it shows how to leverage your massive, complex data resources to improve efficiency, grow revenue, reduce cost, and above all, boost profitability. This landmark guide focuses on using analytics to solve critical problems ecommerce organizations face, from improving brand awareness and favorability through generating demand; shaping digital behavior to accelerating conversion, improving experience to nurturing and re-engaging customers. Phillips shows how to: Implement and unify ecommerce analytics related to product, transactions, customers, merchandising, and marketing More effectively measure performance associated with customer acquisition, conversion, outcomes, and business impact Use analytics to identify the tactics that will create the most value, and execute them more effectively Think about and analyze the behavior of customers, prospects, and leads in ecommerce experiences Optimize paid/owned/earned marketing channels, product mix, merchandising, pricing/promotions/sales, browsing/shopping/purchasing, and other ecommerce functions Understand and model attribution Structure and socialize ecommerce teams for success Evaluate the potential impact of technology choices and platforms Understand the implications of ecommerce analytics on customer privacy, life, and society Preview the future of ecommerce analytics over the next 20 years

Author : Amin Hosseinian-Far,Muthu Ramachandran,Dilshad Sarwar
Publisher : Springer
Page : 226 pages
File Size : 40,5 Mb
Release : 2017-02-13
Category : Technology & Engineering
ISBN : 9783319524917

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Strategic Engineering for Cloud Computing and Big Data Analytics by Amin Hosseinian-Far,Muthu Ramachandran,Dilshad Sarwar Pdf

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.

Author : Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy
Publisher : Springer
Page : 549 pages
File Size : 55,6 Mb
Release : 2017-08-14
Category : Technology & Engineering
ISBN : 9783319604350

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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence by Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy Pdf

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

Author : Dinesh K. Sharma,Madhu Jain
Publisher : Springer Nature
Page : 293 pages
File Size : 52,9 Mb
Release : 2022-11-08
Category : Business & Economics
ISBN : 9789811963377

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Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management by Dinesh K. Sharma,Madhu Jain Pdf

This book considers new analytics and AI approaches in the areas of inventory control, logistics, and supply chain management. It provides valuable insights for the retailers and managers to improve business operations and make more realistic and better decisions. It also offers a number of smartly designed strategies related to inventory control and supply chain management for the optimal ordering and delivery policies. The book further uses detailed models and AI computing approaches for demand forecasting to planning optimization and digital execution tracking. One of its key features is use of real-life examples, case studies, practical models to ensure adoption of new solutions, data analytics, and AI-lead automation methodologies are included.The book can be utilized by retailers and managers to improve business operations and make more accurate and realistic decisions. The AI-based solution, agnostic assessment, and strategy will support the companies for better alignment and inventory control and capabilities to create a strategic road map for supply chain and logistics. The book is also useful for postgraduate students, researchers, and corporate executives. It addresses novel solutions for inventory to real-world supply chain and logistics that retailers, practitioners, educators, and scholars will find useful. It provides the theoretical and applicable subject matters for the senior undergraduate and graduate students, researchers, practitioners, and professionals in the area of artificial intelligent computing and its applications in inventory and supply chain management, inventory control, and logistics.