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Author: Gerald Feigin
Publisher: Business Expert Press
ISBN: 1606492462
Category : Business & Economics
Languages : en
Pages : 174
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Book Description
Every company must continually wrestle with the problem of deciding the right quantity and mix of products or services that it should produce as well as when and where to produce them. The problem is challenging because the decision must be made with uncertain and conflicting information about future demand, available production capacity, and sources of supply. The decision is in fact a highly complex balancing act, involving tradeoffs along many dimensions - for example, inventory targets vs. customer service levels, older products vs. newer ones, direct customers vs. channel partners - and requiring the compromise of constituents - sales, marketing, operations, procurement, product development, finance, as well as suppliers and customers - with varied objectives. The ability of a company to nimbly navigate this decision process without giving too much influence to any of the parties involved largely determines how well the company can respond to changing market conditions and ultimately whether the company will continue to thrive. This book focuses on the complex challenges of supply chain planning - the set of business processes that companies use for planning to meet future demand. Supply chain planning comprises a variety of planning processes within an organization: demand planning, sales & operations planning, inventory planning, promotion planning, supply planning, production planning, distribution planning, and capacity planning. Of course, not all companies engage in all of these planning activities and they may refer to these activities by other names but they all struggle with the on-going effort of matching demand with supply. Many textbooks address supply chain planning problems and present mathematical tools and methods for solving certain classes of problems. This book is intended to complement these texts by focusing not on the mathematical models but on the problems that arise in practice that either these models do not adequately address or that make applying the models difficult or impossible. The book is not intended to provide pat solutions to these problems, but more to highlight the complexities and subtleties involved and describe ways to overcome practical issues that have worked for some companies.
Author: Gerald Feigin
Publisher: Business Expert Press
ISBN: 1606492462
Category : Business & Economics
Languages : en
Pages : 174
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Book Description
Every company must continually wrestle with the problem of deciding the right quantity and mix of products or services that it should produce as well as when and where to produce them. The problem is challenging because the decision must be made with uncertain and conflicting information about future demand, available production capacity, and sources of supply. The decision is in fact a highly complex balancing act, involving tradeoffs along many dimensions - for example, inventory targets vs. customer service levels, older products vs. newer ones, direct customers vs. channel partners - and requiring the compromise of constituents - sales, marketing, operations, procurement, product development, finance, as well as suppliers and customers - with varied objectives. The ability of a company to nimbly navigate this decision process without giving too much influence to any of the parties involved largely determines how well the company can respond to changing market conditions and ultimately whether the company will continue to thrive. This book focuses on the complex challenges of supply chain planning - the set of business processes that companies use for planning to meet future demand. Supply chain planning comprises a variety of planning processes within an organization: demand planning, sales & operations planning, inventory planning, promotion planning, supply planning, production planning, distribution planning, and capacity planning. Of course, not all companies engage in all of these planning activities and they may refer to these activities by other names but they all struggle with the on-going effort of matching demand with supply. Many textbooks address supply chain planning problems and present mathematical tools and methods for solving certain classes of problems. This book is intended to complement these texts by focusing not on the mathematical models but on the problems that arise in practice that either these models do not adequately address or that make applying the models difficult or impossible. The book is not intended to provide pat solutions to these problems, but more to highlight the complexities and subtleties involved and describe ways to overcome practical issues that have worked for some companies.
Author: Peter W. Robertson
Publisher: Routledge
ISBN: 1000280500
Category : Business & Economics
Languages : en
Pages : 321
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Book Description
Supply Chain Analytics 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 descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously. Key topics are addressed, including optimisation, big data, data mining and cloud computing. The author identifies four core supply chain processes – strategy, design, execution and people – to which the analytic techniques explained can be applied to ensure continuous improvement. Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter; worked examples illustrating how each analytic technique works, how it is applied and what to be careful of; tables, diagrams and equations to help ‘visualise’ the concepts and methods covered; chapter case studies; and end-of-chapter review questions and assignment tasks. Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading for advanced undergraduate and postgraduate students of supply chain analytics, supply chain leadership, and supply chain and operations management. Its practice-based and applied approach also makes it valuable for operating supply chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions.
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: 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: Nicoleta Tipi
Publisher: Kogan Page Publishers
ISBN: 0749498617
Category : Technology & Engineering
Languages : en
Pages : 329
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Book Description
An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues. Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available.
Author: Sharan Srinivas
Publisher: Springer Nature
ISBN: 3030692655
Category : Business & Economics
Languages : en
Pages : 278
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Book Description
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.
Author: Iris Heckmann
Publisher: Springer
ISBN: 3658148705
Category : Business & Economics
Languages : en
Pages : 419
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Book Description
In this thesis, Iris Heckmann develops a profound conceptual basis of supply chain risk analytics. She transfers the newly defined concepts for the modelling and operationalization of supply chain risk within simulation and optimization approaches, in order to ease unexpected deviations and disruptions, which are subsumed under the notion of supply chain risk, increasingly aggravating the planning and optimization of supply chains.
Author: Hartmut Stadtler
Publisher: Springer Science & Business Media
ISBN: 3540248145
Category : Business & Economics
Languages : en
Pages : 506
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Book Description
"... To sum up, there should be a copy on the bookshelf of all engineers responsible for detailed planning of the Product Delivery Process (PDP). The Editors highlight the impressive gains reported by companies exploiting the potential of coordinating organizational units and integrating information flows and planning efforts along a supply chain. This publication is strong on coordination and planning. It is therefore recommended as an up-to-date source book for these particular aspects of SCM." International Journal of Production Research 2001/Vol. 39/13
Author: Roberto Rossi
Publisher: Open Book Publishers
ISBN: 180064177X
Category : Business & Economics
Languages : en
Pages : 184
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Book Description
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: Wang, John
Publisher: IGI Global
ISBN: 1609601378
Category : Business & Economics
Languages : en
Pages : 418
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Book Description
Our rapidly changing world has forced business practitioners, in corporation with academic researchers, to respond quickly and develop effective solution methodologies and techniques to handle new challenges in supply chain systems. Supply Chain Optimization, Management and Integration: Emerging Applications presents readers with a rich collection of ideas from researchers who are bridging the gap between the latest in information technology and supply chain management. This book includes theoretical, analytical, and empirical research, comprehensive reviews of relevant research, and case studies of effective applications in the field of SCM. The use of new technologies, methods, and techniques are emphasized by those who have worked with supply chain management across the world for those in the field of information systems.
