Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain

Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain

Author: Biswajit Sarkar

Publisher: MDPI

Published: 2020-04-23

Total Pages: 618

ISBN-13: 303928522X

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The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for industry. The recent trends in research, with new ideas and methodologies, are included in this book. Several new ideas and business strategies are developed in the area of the supply chain management, logistics, optimization, and forecasting for the improvement of the economy of the society and the environment. The proposed technologies and ideas are either novel or help modify several other new ideas. Different real life problems with different dimensions are discussed in the book so that readers may connect with the recent issues in society and industry. The collection of the articles provides a glimpse into the new research trends in technology, business, and the environment.


Multiple Criteria Decision Making in Supply Chain Management

Multiple Criteria Decision Making in Supply Chain Management

Author: A. Ravi Ravindran

Publisher: CRC Press

Published: 2017-07-12

Total Pages: 399

ISBN-13: 1498708595

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Supply chain management decisions are made under the conflicting criteria of maximizing profit and customer responsiveness while minimizing supply chain risk. Multiple Criteria Decision Making in Supply Chain Management provides a comprehensive overview of multi-criteria optimization models and methods that can be used in supply chain decision making. Presenting the contributions of internationally known authors, researchers, educators, and practitioners, this new book in the Operations Research Series provides readers with a single source guide to recent developments in this area. The focus of the book is on the design and operation of the supply chain system, which involves connecting many production and distribution systems, often across wide geographic distances, in such a way that the businesses involved can ultimately satisfy the consumer demand as efficiently as possible, resulting in maximum financial returns to those businesses connected to that supply chain system. The book includes several case studies on the design and operation of supply chain networks in manufacturing and healthcare.


Influencing Customer Demand

Influencing Customer Demand

Author: Mahya Hemmati

Publisher: CRC Press

Published: 2021-07-21

Total Pages: 298

ISBN-13: 1000406962

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In today’s competitive markets, considering the demand and the supply chain sides is crucial to keeping revenue and customer satisfaction maximized. Managing and planning demand play a vital role in the sustainability of a company. This is the first book to the discuss managerial, mathematical, and conceptual framework of influencing factors on demand along with accurate mathematical analyses to evaluate and raise revenue. The book provides an understanding of the key elements that impact buyer demand. It presents the mathematical relationship between the influencing factors and the demand functions. It discusses the methods used for inspiring demand, how to measure demand dependency on components such as price, quality, and inventory, and it helps management improve alignment between supply and demand by affecting the level and understanding of the role within supply chain management (SCM). This book is applicable for the professional as well as for academia. It can help those working in SCM, project management, production, inventory control, scheduling, engineering management, retail management, and operations management.


Structural Dynamics and Resilience in Supply Chain Risk Management

Structural Dynamics and Resilience in Supply Chain Risk Management

Author: Dmitry Ivanov

Publisher: Springer

Published: 2017-11-07

Total Pages: 332

ISBN-13: 3319693050

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This book offers an introduction to structural dynamics, ripple effect and resilience in supply chain disruption risk management for larger audiences. In the management section, without relying heavily on mathematical derivations, the book offers state-of-the-art concepts and methods to tackle supply chain disruption risks and designing resilient supply chains in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering background. In the technical section, the book constitutes structural dynamics control methods for supply chain management. Real-life problems are modelled and solved with the help of mathematical programming, discrete-event simulation, optimal control theory, and fuzzy logic. The book derives practical recommendations for management decision-making with disruption risk in the following areas: How to estimate the impact of possible disruptions on performance in the pro-active stage? How to generate efficient and effective stabilization and recovery policies? When does one failure trigger an adjacent set of failures? Which supply chain structures are particular sensitive to ripple effect? How to measure the disruption risks in the supply chain?


Inventory and Production Management in Supply Chains

Inventory and Production Management in Supply Chains

Author: Edward A. Silver

Publisher: CRC Press

Published: 2016-12-19

Total Pages: 810

ISBN-13: 1466558628

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Authored by a team of experts, the new edition of this bestseller presents practical techniques for managing inventory and production throughout supply chains. It covers the current context of inventory and production management, replenishment systems for managing individual inventories within a firm, managing inventory in multiple locations and firms, and production management. The book presents sophisticated concepts and solutions with an eye towards today’s economy of global demand, cost-saving, and rapid cycles. It explains how to decrease working capital and how to deal with coordinating chains across boundaries.


Supply Chain Optimization under Uncertainty

Supply Chain Optimization under Uncertainty

Author: Barrie M. Cole

Publisher: Vernon Press

Published: 2014-12-15

Total Pages: 383

ISBN-13: 162273016X

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Drawing on cutting-edge research, this book proposes a new 'Supply Chain Optimization under Uncertainty’, technology. Its application can bring many proven benefits to supply chain entities, any associated service providers, and, of course, the customers. The technology can provide the best design and operating solution for a Supply Chain Network (SCN) that is subject to any prevailing conditions of Operational Uncertainty (OU). A SCN is defined as a network of production facilities, distribution centers and retail sales outlets. OU is defined as any relevant combination of i) multiple process objectives e.g. a business needs to maximize operating profits and to minimize inventory levels, ii) fuzziness (<, <=, >, or >=) e.g. sales <= 1500 t/mth and iii) probability e.g. sale of fertilizer is dependent on probabilistic rainfall. Following this method always enables the determination of realistic optimum supply chain solutions, since the effects of any operational uncertainties are always provided for. The book is arranged in two parts. The first part covers the theory and recent research into supply chain optimization under uncertainty. The second part documents the application of the newly proposed technology to an agricultural fertilizer’s (NPK, South Africa) supply chain.


Supply Chain Engineering

Supply Chain Engineering

Author: A. Ravi Ravindran

Publisher: CRC Press

Published: 2023-08-30

Total Pages: 604

ISBN-13: 1000924017

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This new edition textbook continues down the path that the first edition, winner of the 2013 IISE/Joint Publishers Book-of-the-Year Award, successfully carved out. The textbook targets engineering students and emphasizes the use of operations research models and solution methods important in the design, control, operation, and management of global supply chains. Completely updated, Supply Chain Engineering: Models and Applications, Second Edition stresses quantitative models and methods, highlights global supplier selection and vendor risk management techniques, and discusses the use of multiple criteria decision-making models in supply chain management. The new edition includes chapters on health and humanitarian supply chains, including disaster management and logistics modeling, and on warehousing and distribution. Disruptions to global supply chains due to the COVID-19 pandemic are discussed throughout the book. Industry and government strategies to make the global supply chains resilient are also presented. Thirty four case studies have been included to illustrate various supply chain models and methods. Exercises are included at the end of each chapter, and a solutions manual and PowerPoint slides are available for qualified textbook adoptions. The new edition continues to target upper-level undergraduate and graduate students in engineering, as well as MBA students in operations management, logistics, and supply chain management programs that emphasize quantitative analysis. It is also useful as a reference for technical professionals and researchers in industrial engineering, supply chain management, procurement, logistics and health administration.


Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods

Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods

Author: Minis, Ioannis

Publisher: IGI Global

Published: 2010-12-31

Total Pages: 337

ISBN-13: 1615206345

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Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.


Advances in Manufacturing, Production Management and Process Control

Advances in Manufacturing, Production Management and Process Control

Author: Beata Mrugalska

Publisher: Springer Nature

Published: 2020-06-30

Total Pages: 399

ISBN-13: 3030519813

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This book discusses the latest advances in the broadly defined field of advanced manufacturing and process control. It reports on cutting-edge strategies for sustainable production and product life cycle management, and on a variety of people-centered issues in the design, operation and management of manufacturing systems and processes. Further, it presents digital modeling systems and additive manufacturing technologies, including advanced applications for different purposes, and discusses in detail the implementation of and challenges imposed by 3D printing technologies. Based on three AHFE 2020 Conferences (the AHFE 2020 Virtual Conference on Human Aspects of Advanced Manufacturing, the AHFE 2020 Virtual Conference on Advanced Production Management and Process Control and the AHFE 2020 Virtual Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, the book merges ergonomics research, design applications, and up-to-date analyses of various engineering processes. It brings together experimental studies, theoretical methods and best practices, highlights future trends and suggests directions for further technological developments and the improved integration of technologies and humans in the manufacturing industry.


Modeling Decisions for Artificial Intelligence

Modeling Decisions for Artificial Intelligence

Author: Vicenç Torra

Publisher: Springer Science & Business Media

Published: 2007-07-30

Total Pages: 511

ISBN-13: 3540737286

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Decision modeling is a key area in the developing field of AI, and this timely work connects researchers and professionals with the very latest research. It constitutes the refereed proceedings of the 4th International Conference on Modeling Decisions for Artificial Intelligence, held in Kitakyushu, Japan, in August 2007. The 42 revised full papers presented together with 4 invited lectures are devoted to theory and tools, as well as applications.