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Books > Business & Economics > Business & management > Management of specific areas > Purchasing & supply management
In two volumes, Planning Production and Inventories in the Extended Enterprise: A State of the Art Handbook examines production planning across the extended enterprise against a backdrop of important gaps between theory and practice. The early chapters describe the multifaceted nature of production planning problems and reveal many of the core complexities. The middle chapters describe recent research on theoretical techniques to manage these complexities. Accounts of production planning system currently in use in various industries are included in the later chapters. Throughout the two volumes there are suggestions on promising directions for future work focused on closing the gaps. Included in Volume 1 are papers on the Historical Foundations of Manufacturing Planning and Control; Advanced Planning and Scheduling Systems; Sustainable Product Development and Manufacturing; Uncertainty and Production Planning; Demand Forecasting; Production Capacity; Data in Production and Supply Chain Planning; Financial Uncertainty in SC Models; Field Based Research in Production Control; Collaborative SCM; Sequencing and Coordination in Outsourcing and Subcontracting Operations; Inventory Management; Pricing, Variety and Inventory Decisions for Substitutable Items; Perishable and Aging Inventories; Optimization Models of Production Planning Problems; Aggregate Modeling of Manufacturing Systems; Robust Stability Analysis of Decentralized Supply Chains; Simulation in Production Planning; and Simulation-Optimization in Support of Tactical and Strategic Enterprise Decisions. Included in Volume 2 are papers on Workload and Lead-Time Considerations under Uncertainty; Production Planning and Scheduling; Production Planning Effects on Dynamic Behavior of A Simple Supply Chain; Supply and Demand in Assemble-to-Order Supply Chains; Quantitative Risk Assessment in Supply Chains; A Practical Multi-Echelon Inventory Model with Semiconductor Application; Supplier Managed Inventory for Custom Items with Long Lead Times; Decentralized Supply Chain Formation; A Cooperative Game Approach to Procurement Network Formation; Flexible SC Contracts with Options; Build-to-Order Meets Global Sourcing for the Auto Industry; Practical Modeling in Automotive Production; Discrete Event Simulation Models; Diagnosing and Tuning a Statistical Forecasting System; Enterprise-Wide SC Planning in Semiconductor and Package Operations; Production Planning in Plastics; SC Execution Using Predictive Control; Production Scheduling in The Pharmaceutical Industry; Computerized Scheduling for Continuous Casting in Steelmaking; and Multi-Model Production Planning and Scheduling in an Industrial Environment.
This book provides an overview of important trends and developments in logistics and supply chain research, making them available to practitioners, while also serving as a point of reference for academicians. Operations and logistics are cornerstones of modern supply chains that in turn are essential for global business and economics. The composition, character and importance of supply chains and networks are rapidly changing, due to technological innovations such as Information and Communication Technologies, Sensors and Robotics, Internet of Things, and Additive Manufacturing, to name a few (often referred to as Industry 4.0). Societal developments such as environmental consciousness, urbanization or the optimal use of scarce resources are also impacting how supply chain networks are configured and operated. As a result, future supply chains will not just be assessed in terms of cost-effectiveness and speed, but also the need to satisfy agility, resilience and sustainability requirements. To face these challenges, an understanding of the basic as well as more advanced concepts and recent innovations is essential in building competitive and sustainable supply chains and, as part of that, logistics and operations. These span multiple disciplines and geographies, making them interdisciplinary and international. Therefore, this book contains contributions and views from a variety of experts from multiple countries, and combines management, engineering as well as basic information technology and social concepts. In particular, it aims to: provide a comprehensive guide for all relevant and major logistics, operations, and supply chain management topics in teaching and business practice address three levels of expertise, i.e., concepts and principles at a basic (undergraduate, BS) level, more advanced topics at a graduate level (MS), and finally recent (state-of-the-art) developments at a research level. In particular the latter serve to present a window on current and future (potential) logistics innovations in the different thematic fields for both researchers and top business practitioners integrate a textbook approach with matching case studies for effective teaching and learning discuss multiple international perspectives in order to represent adequately the true global nature of operations, logistics and supply chains.
The Contracting Organization offers a clear and accessible guide to the theory and practice of contracting. Well supported by numerous case studies and examples, it is ideal for academics, students and practitioners wanting to understand `make or buy' decisions. Domberger looks at the way in which organizations throughout the world are increasingly contracting out - `outsourcing' - many activities traditionally done in-house. Deregulation, cost reduction, a focus on core activities, and the growth of the service economy all drive this process and are examined within this enlightening text.
This book discusses the models and tools available for solving configuration problems, emphasizes the value of model integration to obtain comprehensive and robust configuration decisions, proposes solutions for supply chain configuration in the presence of stochastic and dynamic factors, and illustrates application of the techniques discussed in applied studies. It is divided into four parts, which are devoted to defining the supply chain configuration problem and identifying key issues, describing solutions to various problems identified, proposing technologies for enabling supply chain confirmations, and discussing applied supply chain configuration problems.Its distinguishing features are: an explicit focus on the configuration problem an in-depth coverage of configuration models an emphasis on model integration and application of information modeling techniques in decision-making New to this edition is Part II: Technologies, which introduces readers to various technologies being utilized for supply chain configuration and contains two new chapters. The volume also has an added emphasis on the most recent theoretical developments and empirical findings in the area of supply chain management and related topics. This book is appropriate for professional and technical readers, including research directors, research associates, and institutions involved in both the design and implementation of logistics systems in manufacturing and service-related products. An equally appropriate audience is the academic reader, including professors, research associates, and students in industrial, manufacturing, mechanical, and automotive engineering departments, as well as engineering management, management sciences, and production and operations management.
Since the Rio summit in 1992, the paradigm of corporate environmental responsibility has gradually and consistently extended beyond complying with increasingly stringent environmental regulation and taking up the proactive initiatives of a few world-class companies. Research indicates that the business and financial performance of companies may depend directly on socially and environmentally responsible business practices. Many world-class companies now realize that customers and other stakeholders do not distinguish between a company and its suppliers. As a result, greening the supply chain is an innovative idea which is fast gaining attention in the industry. Greening the Supply Chain is a compilation of important chapters written by a diverse set of international authors which incorporates a broad variety of perspectives including:
Industry practitioners and policy makers will read Greening the Supply Chain for the insights it provides into a topic of such emergent and growing concern. Undergraduate and postgraduate students and researchers in this field will alsofind this comprehensive and international view of environment supply chain management theory and practice a valuable resource.
Good operations and supply chain management practices are essential for the existence of both private and public organisations offering goods or rendering services. These practices are subject to volatile changes in markets due to global developments and hence it is important to understand the drivers of change to be able to respond adequately. Trends in operations and supply chain management covers a number of these drivers within the realm of operations and the supply chains serving businesses, so that the reader is equipped to respond with robustness in the changing environment. The book covers the topics from a practical perspective and shares many case studies and examples to take the reader on a logical path of understanding the trends in operations and supply chain management and the importance of the drivers of change while sharing practical advice and solutions for the global industry. The contents include the following:
Trends in operations and supply chain management is aimed at undergraduate students as well as professionals working in industry to support the sustainable business practices and goals of their organisations.
The development of a sustainable agricultural system is a critical concern for any nation in modern society. By implementing proper supply chain processes, available natural resources and food can be better utilized. Agri-Food Supply Chain Management: Breakthroughs in Research and Practice is a compendium of emerging perspectives on the development of an effective agricultural value chain and the optimization of supply chain management within the agriculture and food sectors. Highlighting theoretical frameworks, real-world applications, and future outlooks, this book is a primary reference source for professionals, students, practitioners, and managers actively involved in agricultural development.
This book highlights a number of social sustainability issues at different stages of the supply chain, and demonstrates how these issues can be addressed by adopting social sustainability practices in the manufacturing supply chain. In the wake of emerging social issues in developing countries, research on social sustainability has gained importance for academics and practitioners alike. The three distinguishable social sustainability dimensions in manufacturing that emerge as a result of this research provide insights for supply chain managers and practitioners who might otherwise be unaware of what constitutes social sustainability. A better understanding allows supply chain managers to address these issues more appropriately to increase their supply chain competitiveness in the market. The book presents a social sustainability scale that can be used by practitioners to measure supply chain social sustainability to benchmark their supply chains globally. The research also helps academicians to gain an understanding of the social issues related to the manufacturing supply chain, while the social measures developed serve as reference material for policy-makers and sustainability experts in emerging economies.
This book lays the foundations for quality modeling and analysis in the context of supply chains through a synthesis of the economics, operations management, as well as operations research/management science literature on quality. The reality of today's supply chain networks, given their global reach from sourcing locations to points of demand, is further challenged by such issues as the growth in outsourcing as well as the information asymmetry associated with what producers know about the quality of their products and what consumers know. Although much of the related literature has focused on the micro aspects of supply chain networks, considering two or three decision-makers, it is essential to capture the scale of supply chain networks in a holistic manner that occurs in practice in order to be able to evaluate and analyze the competition and the impacts on supply chain quality in a quantifiable manner. This volume provides an overview of the fundamental methodologies utilized in this book, including optimization theory, game theory, variational inequality theory, and projected dynamical systems theory. It then focuses on major issues in today's supply chains with respect to quality, beginning with information asymmetry, followed by product differentiation and branding, the outsourcing of production, from components to final products, to quality in freight service provision. The book is filled with numerous real-life examples in order to emphasize the generality and pragmatism of the models and tools. The novelty of the framework lies in a network economics perspective through which the authors identify the underlying network structure of the various supply chains, coupled with the behavior of the decision-makers, ranging from suppliers and manufacturers to freight service providers. What is meant by quality is rigorously defined and quantified. The authors explore the underlying dynamics associated with the competitive processes along with the equilibrium solutions. As appropriate, the supply chain decision-makers compete in terms of quantity and quality, or in price and quality. The relevance of the various models that are developed to specific industrial sectors, including pharmaceuticals and high technology products, is clearly made. Qualitative analyses are provided, along with effective, and, easy to implement, computational procedures. Finally, the impacts of policy interventions, in the form of minimum quality standards, and their ramifications, in terms of product prices, quality levels, as well as profits are explored. The book is filled with many network figures, graphs, and tables with data.
Due to globalization and internationalization of agri-food production, the arena of competition and competitive advantage is moving from individual firms operating on spot markets towards supply chains and networks. Therefore, coordination between firms within the chain becomes more important. Topics like costs, efficiency, risk and investment analysis have received little empirical attention within chain and network research. Nonetheless, these performance measures are of vital importance for continuity of individual companies, chains and networks. This book aims at offering a coherent view on this matter by discussing the possibilities and limitations of quantifying performance, risks and investments in the agri-food chain. A wide variety of approaches from different economic disciplines was used to analyse the complex systems of agri-food supply chains and develop appropriate models for management decision support.
Risk analysis is crucial in stochastic supply chain models. Over the past few years, the pace has quickened for research attempting to explore risk analysis issues in supply chain management problems, while the majority of recent papers focus on conceptual framework or computational numerical analysis. Pioneered by Nobel laureate Markowitz in the 1950s, the mean-risk (MR) formulation became a fundamental theory for risk management in finance. Despite the significance and popularity of MR-related approaches in finance, their applications in studying multi-echelon supply chain management problems have only been seriously explored in recent years. While the MR approach has already been shown to be useful in conducting risk analysis in stochastic supply chain models, there is no comprehensive reference source that provides the state-of-the-art findings on this important model for supply chain management. Thus it is significant to have a book that reviews and extends the MR related works for supply chain risk analysis. This book is organized into five chapters. Chapter 1 introduces the topic, offers a timely review of various related areas, and explains why the MR approach is important for conducting supply chain risk analysis. Chapter 2 examines the single period inventory model with the mean-variance and mean-semi-deviation approaches. Extensive discussions on the efficient frontiers are also reported. Chapter 3 explores the infinite horizon multi-period inventory model with a mean-variance approach. Chapter 4 investigates the supply chain coordination problem with a versatile target sales rebate contract and a risk averse retailer possessing the mean-variance optimization objective. Chapter 5 concludes the book and discusses various promising future research directions and extensions. Every chapter can be taken as a self-contained article, and the notation within each chapter is consistently employed.
Straight to the Bottom Line will enable senior corporate executives to turn the enormous top-line and bottom-line potential of supply chain and procurement into reality. Key Features: Provides a clear understanding of the performance improvement opportunities, and what is at stake if these opportunities are overlooked, written by and for senior corporate executives Outlines a powerful and logical approach for assessing the state-of-the-art in their organization Offers ways to estimate the specific opportunities related to implementing a change in strategy and practices Details a comprehensive framework for organizing the transformation plan, across multiple dimensions Gives advice on which areas to focus on first, in order to build and ensure success WAV offers free downloadable resources such as a presentation detailing how modern supply management can improve ROIC and a lost opportunity calculator to quantify the impact of ""maverick buying"" - available from the Web Added Value Download Resource Center
This book provides a detailed overview of various parameters/factors involved in inventory analysis. It especially focuses on the assessment and modeling of basic inventory parameters, namely demand, procurement cost, cycle time, ordering cost, inventory carrying cost, inventory stock, stock out level, and stock out cost. In the context of economic lot size, it provides equations related to the optimum values. It also discusses why the optimum lot size and optimum total relevant cost are considered to be key decision variables, and uses numerous examples to explain each of these inventory parameters separately. Lastly, it provides detailed information on parameter estimation for different sectors/products. Written in a simple and lucid style, it offers a valuable resource for a broad readership, especially Master of Business Administration (MBA) students.
This book presents high-quality original contributions on the fashion supply chain. A wide spectrum of application domains are covered, processing of big data coming from digital and social media channels, fashion new product development, fashion design, fashion marketing and communication strategy, business models and entrepreneurship, e-commerce and omni-channel management, corporate social responsibility, new materials for fashion product, wearable technologies. The contents are based on presentations delivered at IT4Fashion 2017, the 7th International Conference in Business Models and ICT Technologies for the Fashion Supply Chain, which was held in Florence, Italy, in April 2017, and at IT4Fashion 2018, the 8th edition of the same conference, which was held in Florence, Italy, in April 2018. This conference series represents a targeted response to the growing need for research that reports and debates supply chain business models and technologies applied to the fashion industry, with the aim of increasing knowledge in the area of product lifecycle management and supply chain management in that industry.
New technologies are revolutionising the way manufacturing and
supply chain management are implemented. These changes are
delivering manufacturing firms the competitive advantage of a
highly flexible and responsive supply chain and manufacturing
system to ensure that they meet the high expectations of their
customers, who, in today's economy, demand absolutely the best
service, price, delivery time and product quality.
This book deals with collaborative planning, an approach to supply chain planning which aims to coordinate planning tasks of independent supply chain partners while respecting their local decision authority. It gives an introduction to collaborative planning, shows how it is embedded in the broader subject matter of supply chain management, and reviews findings of related literature. At its core, it provides a step-by-step description of a negotiation-based, practice-oriented approach to collaborative planning at the medium-term level of master planning between two supply-chain partners, a supplier and a single customer. Subsequently, this basic concept is extended to cover supply chains with multiple partners and planning on a rolling basis. Implications of collaborative planning on supply contracts are sketched out, and incentives for cooperative behavior by the supply-chain partners are analyzed by applying concepts of game theory.
In February 2002, the Industrial and Systems Engineering (ISE) De partment at the University of Florida hosted a National Science Founda tion Workshop on Collaboration and Negotiation in Supply Chain Man agement and E Commerce. This workshop focused on characterizing the challenges facing leading edge firms in supply chain management and electronic commerce, and identifying research opportunities for de veloping new technological and decision support capabilities sought by industry. The audience included practitioners in the areas of supply chain management and E Commerce, as well as academic researchers working in these areas. The workshop provided a unique setting that has facilitated ongoing dialog between academic researchers and industry practitioners. This book codifies many of the important themes and issues around which the workshop discussions centered. The editors of this book, all faculty members in the ISE Department at the University of Florida, also served as the workshop's coordinators. In addition to workshop participants, we also invited contributions from leading academics and practitioners who were not able to attend. As a result, the chapters herein represent a collection of research contributions, monographs, and case studies from a variety of disciplines and viewpoints. On the aca demic side alone, chapter authors include faculty members in supply chain and operations management, marketing, industrial engineering, economics, computer science, civil and environmental engineering, and building construction departments.
In recent years, supply chain planning has emerged as one of the most challenging problems in the industry. As a consequence, the planning focus is shifting from the management of plant-speci?c operations to a holistic view of the various logistics and productionstages, that is an approach in which suppliers, productionplants and customers are considered as constituents of an integrated network. A major dr- ing force behind this development lies in the globalization of the world economy, which has facilitated the co-operation between different partners working together in world-wide logistics networks. Hence, considerable cost savings can be gained from optimizing the structure and the operations of complex supply networks li- ing plants, suppliers, distribution centres and customers. Consequently, to improve the performance of the entire logistic chain, more sophisticated planning systems and more effective decision support are needed. Clearly, successful applications of supply chain management have driven the development of advanced planning systems (APS), which are concerned with s- porting decision-making activities at the strategic, tactical and operational decision level. These software packages basically rely on the application of quantitative methods, which are used to model the underlying complex decision problems c- sidering the limited availability of resources and the need to react on time to customer orders. The core module at the mid-term level of APS comprises op- ational supply chain planning. In many industries, productionstages are assigned to differentplantsand distribution centreshave been established at geographicallyd- persed locations.
Those who have successfully managed product information for mass
customization carefully avoid disclosing how these esoteric systems
work in practice. This is the first book to provide a holistic
recognition of the essential aspects of an IT-supported product
configuration system. In doing so, it reveals the basic building
blocks of these systems, how they support mass customization, how
these systems are selected and implemented, what alternative
options there are, and lastly, what the operational and strategic
implications of these systems are.
'Securing Web Services' investigates the security-related specifications that encompass message level security, transactions, and identity management.
This book maps the latest developments in public procurement of innovation policy in various contexts and analyzes the evolution and development of the various policy solutions in broader institutional contexts. In doing so, it addresses significant theoretical and practical gaps: On the one hand, there is an emerging interest in public procurement as a policy tool for spurring innovation; yet on the other hand, the current theory, with some notable exceptions, is guided and often constrained by historical applications, above all in the defence industries. By carefully examining the cases of eleven countries, the book points to the existence of much more nuanced public procurement on the innovation policy landscape than has been acknowledged in the academic and policy debates to date.
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.
The aim of the book is to present the emerging environmental issues in organization and management of complex supply chains. The book includes set of solutions which show different stakeholders' viewpoints on sustainability. The scope of book takes into consideration how the emerging environmental regulation might be transformed into business practices. Therefore, the authors present the innovative approach to eco-friendly organization and coordination of logistics processes and supply chain configuration. A broad scope of practical solutions from different countries and industries is provided
The world of logistics has considerably changed due to globalization, modern information technology, and especially increasing ecological awareness. Large Supply Chain Management (SCM) systems are developing to global logistic networks. This book reflects major trends of the recent decade in SCM and, additionally, presents ideas and visions for logistic networks of the 21st century. Among the various aspects of SCM, emphasis is placed on reverse logistics: closing the loop of a supply chain by integrating waste materials into logistic management decisions.
The subject of this book is supply chain logistics planning optimization under multiple uncertainties, the key issue in supply chain management. Focusing on the strategic-alliance three-level supply chain, the model of supply chain logistics planning was established in terms of the market prices and the market requirements as random variables of manufactured goods with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at the decentralized control supply chain, in which the nodes were unlimited expansion, the chance-constrained stochastic programming model was created in order to obtain optimal decision-making at a certain confidence level. In addition, the hybrid intelligence algorithm model was designed to solve the problem of supply chain logistics planning with the prices of the raw-materials supply market of the upstream enterprises and the prices of market demand for products of the downstream enterprises as random variables in the supply chain unit. Aimed at the three-stage mixed control supply chain, a logistics planning model was designed using fuzzy random programming theory with customer demand as fuzzy random variables and a hybrid intelligence algorithm solution was created. The research has significance both in theory and practice. Its theoretical significance is that the research can complement and perfect existing supply chain planning in terms of quantification. Its practical significance is that the results will guide companies in supply chain logistics planning in the uncertain environment. |
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