Автор: Robertson, Peter W. Название: Supply chain analytics ISBN: 0367540061 ISBN-13(EAN): 9780367540067 Издательство: Taylor&Francis Цена: 7195.00 р. Наличие на складе: Нет в наличии. Описание: This book introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key Supply Chain processes through worked examples, and the methods that can be applied to improve those processes, the book presents a comprehensive learning experience.
Автор: Deep Название: Logistics, Supply Chain and Financial Predictive Analytics ISBN: 9811308713 ISBN-13(EAN): 9789811308710 Издательство: Springer Рейтинг: Цена: 21953.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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;
Описание: Learn from research into smart, integrated and sustainable logistics practices, with a focus on market requirements and cutting edge applications from innovators in the logistics industry.
Автор: Kusum Deep; Madhu Jain; Said Salhi Название: Logistics, Supply Chain and Financial Predictive Analytics ISBN: 9811345228 ISBN-13(EAN): 9789811345227 Издательство: Springer Рейтинг: Цена: 21953.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Robertson, Peter W. Название: Supply chain analytics ISBN: 0367540061 ISBN-13(EAN): 9780367540067 Издательство: Taylor&Francis Рейтинг: Цена: 7195.00 р. Наличие на складе: Нет в наличии.
Описание: This book introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key Supply Chain processes through worked examples, and the methods that can be applied to improve those processes, the book presents a comprehensive learning experience.
Автор: Iman Rahimi, Amir H. Gandomi, Simon James Fong Название: Big data analytics in supply chain management ISBN: 0367407175 ISBN-13(EAN): 9780367407179 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses the results of a recent large-scale achievement on Big Data Analytics (BDA) topics among Supply Chain Management (SCM) professionals The book intends to show a diversity of supply chain management issues that may benefit from BDA, both in theory and practice.
Автор: Bhattacharya, Rabindranath Bhattacharyya, Anindita Maitra Название: Supply chain analytics ISBN: 9354794122 ISBN-13(EAN): 9789354794124 Издательство: Sage Publications Рейтинг: Цена: 4752.00 р. Наличие на складе: Поставка под заказ.
Описание: An easy-to-read textbook that will help students to understand and appreciate the concepts and decision-making processes of supply chain management through analytics.
This book presents the concepts, strategies and models related to supply chains. Using accessible quantitative models, it provides a unified framework for supply chain analytics for products—right from sourcing to manufacturing to delivery to remanufacturing, which closes the supply chain. The book synthesizes a collection of analytical models in the context of both formulation and solution of the problems in all the areas of supply chain.
The textbook provides its readers with the tools and skills necessary to understand supply chains analytically and quantitatively and opens opportunities for them to play around with the concepts through exercises and examples. This book will be ideal for students of management who want to get a better understanding of supply chain analytics.
Key Features:
• Contains over 10 case studies of real Indian companies—their supply chain problems and solutions
• Includes sections on system dynamic models, stochastic models and chapters on remanufacturing models and simulation modelling
• Uses Microsoft Excel solver to help students easily grasp the mathematics behind the models and experiment with the problems themselves.
Описание: Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization. In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making the book a valuable reference for researchers, technical professionals, and students.
Описание: This edited book addresses the challenges in managing the operations and supply chain of organizations in the era of internet of things and Industry 4.0. It presents cutting edge research on real world operations related problems, in-depth analyses, and relevant managerial implications. Wide variety of solution approaches such as quantitative, quantitative, and simulations are presented in the context of managing the operations and supply chains. Consisting of selected papers from the XXIII Annual International Conference of Society of Operations Management, this volume is part of a two volume series with the other book consisting of chapters on quantitative decision making. This edited book covers various quantitative models on operations and supply chain management such as inventory optimization, machine learning-operations research integrated model for healthcare systems, game-theoretic analysis of review strategies in truthful information sharing, design of contracts in supply chains, supply chain optimization, inventory routing, and shop floor scheduling. In addition to the quantitative models, several innovative heuristics are proposed for different problems. This book explores qualitative models on improving the performance of small and medium enterprises and petroleum industries and a simulation model for staff allocation in the information technology industry. Finally, this book provides review articles on vaccine supply chains and behavioral operations management. The book throws light on the emerging trends in the use of analytics, optimization, and simulation tools and empirical analysis to improve the performance of operations and supply chains of organizations. It will serve as an essential resource for practitioners, students, faculty members and scholars in operations management and related areas to gain knowledge and pursue high quality research on developments in areas such as managing the resource management and the solution methodology---innovative tools employed in addressing the real world problems and the different optimization techniques.
Автор: Cohen, Maxime C. Gras, Paul-Emile Pentecoste, Arthur Zhang, Renyu Название: Demand Prediction in Retail ISBN: 303085857X ISBN-13(EAN): 9783030858575 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers.
Автор: Lee Название: Creating Values with Operations and Analytics ISBN: 3031088700 ISBN-13(EAN): 9783031088704 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: 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.
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