This book presents the proceedings of the Seventh International Conference on Management Science and Engineering Management (ICMSEM2013) held from November 7 to 9, 2013 at Drexel University, Philadelphia, Pennsylvania, USA and organized by the International Society of Management Science and Engineering Management, Sichuan University (Chengdu, China) and Drexel University (Philadelphia, Pennsylvania, USA). The goals of the Conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current research findings. The selected papers cover various areas in management science and engineering management, such as Decision Support Systems, Multi-Objective Decisions, Uncertain Decisions, Computational Mathematics, Information Systems, Logistics and Supply Chain Management, Relationship Management, Scheduling and Control, Data Warehousing and Data Mining, Electronic Commerce, Neural Networks, Stochastic Models and Simulation, Fuzzy Programming, Heuristics Algorithms, Risk Control, Organizational Behavior, Green Supply Chains, and Carbon Credits. The proceedings introduce readers to novel ideas on and different problem-solving methods in Management Science and Engineering Management. We selected excellent papers from all over the world, integrating their expertise and ideas in order to improve research on Management Science and Engineering Management.

Commercial advanced planning and scheduling (APS) systems have been around for about 25 years and have seen widespread adoption in a variety of companies. The promises made by APS system implementations are high, and at the same time, APS projects are complex, costly, and carry a significant risk of failure. There is a great need for guidance on how to successfully implement APS systems, which is why this book was written. In this book, we aim to discuss all facets of APS implementation, from theoretical background to definition, vendor selection, system design and the implementation process. In addition, this book helps readers understand how the underlying concepts were formed, why a concept will work in practice, and when it will not. The contents of this book are based on many years of academic research and APS implementation experience. It draws together theory and practice in production control and explains how theories can be applied to support planning and scheduling processes in practice. This book will help anyone involved in APS implementations to achieve success: human planners generate better plans than before, using the APS.

Marketplace complexity and dynamics create an environment that increases the uncertainty of innovation activities. In this context systematic management of innovation and product management are increasingly important for company success. This book presents the fundamentals of innovation and product management and introduces the reader to a holistic process model with particular focus on innovation and uncertainty. This integrated consideration of innovation management and product innovation within an interdisciplinary approach represents a unique characteristic of this book. The bookis designed to address the needs of managers who want a practical but well-researched guide to innovation and product management. Graduate and advanced undergraduate students would also find the chapters in this book particularly useful."

Proceedings of China Modern Logistics Engineering covers nearly all areas of logistics engineering technology, focusing on the latest findings and the following theoretical aspects: Logistics Systems and Management Research; Green Logistics and Emergency Logistics; Enterprise Logistics; Material Handling; Warehousing Technology Research; Supply Chain Management; Logistics Equipment; Logistics Packaging Technology; Third-party Logistics, etc. The book will help readers to grasp the relevant aspects of the theory involved, research and development trends, while also offering guidance for their work and related studies. It is intended for researchers, scholars and graduate students in logistics management, logistics engineering, transportation, business administration, E-commerce and industrial engineering.

This book describes the implementation of autonomous control with multiagent technology. Therewith, it tackles the challenges of supply network management caused by the complexity, the dynamics, and the distribution of logistics processes. The paradigm of autonomous logistics reduces the computational complexity and copes with the dynamics locally by delegating process control to the participating objects. As an example, shipping containers may themselves plan and schedule their way through logistics networks in accordance with objectives imposed by their owners. The technologies enabling autonomous logistics are thoroughly described and reviewed. The presented solution has been used in a realistic simulation of real-world container logistics processes. The validation shows that autonomous control is feasible and that it outperforms the previous centralised dispatching approach by significantly increasing the resource utilisation efficiency. Moreover, the multiagent system relieves human dispatchers from dealing with standard cases, giving them more time to solve exceptional cases appropriately.

The storage yard is the operational and geographical centre of most seaport container terminals. Therefore, it is of particular importance for the whole terminal system and plays a major role for trade and transport flows. One of the latest trends in container-storage operations is the automated Rail-Mounted-Gantry-Crane system, which offers dense stacking, and offers low labour costs. This book investigates whether the operational performance of container terminals is influenced by the design of these storage systems and to what extent the performance is affected by the terminal's framework conditions, and discusses the strategies applied for container stacking and crane scheduling. A detailed simulation model is presented to compare the performance effects of alternative storage designs, innovative planning strategies, and other influencing factors. The results have useful implications future research, practical terminal planning and optimisation.

This book provides support to academics as well as managers, who deal with policies and strategies related to work issues. Effective work practices and good employee relations are a real necessity of nowadays organizations, as they can help to reduce absenteeism, employee turnover, and organizational costs. Instead, they support high levels of commitment, effectiveness, performance as well as productivity. The book focusses on the implications of those changes in productivity and organizations management. It explores the models, tools and processes used by organizations in order to help managers become better prepared to face the challenges and changes in work and, consequently, in the way how to manage todays' organizations.

This book grows from a conference on the state of the art and recent advances in Efficiency and Productivity. Papers were commissioned from leading researchers in the field, and include eight explorations into the analytical foundations of efficiency and productivity analysis. Chapters on modeling advances include reverse directional distance function, a new method for estimating technological production possibilities, a new distance function called a loss distance function, an analysis of productivity and price recovery indices, the relation of technical efficiency measures to productivity measures, the implications for benchmarking and target setting of imposing weight restrictions on DEA models, weight restrictions in a regulatory setting, and the Principle of Least Action. Chapters on empirical applications include a study of innovative firms that use innovation inputs to produce innovation outputs, a study of the impact of potential "coopetition" or cooperation among competitors on the financial performance of European automobile plants, using SFA to estimate the eco-efficiency of dairy farms in Spain, a DEA bankruptcy prediction model, a combined stochastic cost frontier analysis model/mixture hazard model, the evolution of energy intensity in nine Spanish manufacturing industries, and the productivity of US farmers as they age.

This book presents the proceedings of the Seventh International Conference on Management Science and Engineering Management (ICMSEM2013) held from November 7 to 9, 2013 at Drexel University, Philadelphia, Pennsylvania, USA and organized by the International Society of Management Science and Engineering Management, Sichuan University (Chengdu, China) and Drexel University (Philadelphia, Pennsylvania, USA). The goals of the Conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current research findings. The selected papers cover various areas in management science and engineering management, such as Decision Support Systems, Multi-Objective Decisions, Uncertain Decisions, Computational Mathematics, Information Systems, Logistics and Supply Chain Management, Relationship Management, Scheduling and Control, Data Warehousing and Data Mining, Electronic Commerce, Neural Networks, Stochastic Models and Simulation, Fuzzy Programming, Heuristics Algorithms, Risk Control, Organizational Behavior, Green Supply Chains, and Carbon Credits. The proceedings introduce readers to novel ideas on and different problem-solving methods in Management Science and Engineering Management. We selected excellent papers from all over the world, integrating their expertise and ideas in order to improve research on Management Science and Engineering Management.

Followed by the previous part (Volume-1), Volume-2 of carbon footprint assessment book deals with the assessment of carbon footprint in different other sectors, which were not dealt in the first part. Attention on Carbon footprint is growing day-by-day from the public, government and media. Certainly it is one of the most important topics in the agenda of every nation, which is trying its best to reduce its carbon footprint to the maximum possible extent. Every manufacturing industry or sector would like to reduce the carbon footprint of its products and consumers are looking for the products which emit lower carbon emissions in their entire life cycle. Assessment of Carbon footprint for different products, processes and services and also carbon labeling of products have become familiar topics in the recent past in various industrial sectors. Every industry has its unique assessment and modeling techniques, allocation procedures, mitigation methods and labeling strategies for its carbon emissions. With this background, volume two of this book has been framed with dedicated chapters on carbon footprint assessment on various industrial sectors, apart from the ones covered in Volume 1. In each chapter, details pertaining to the assessment methodologies of carbon footprint followed in a particular industry, challenges in calculating the carbon footprint, case studies of various products in that particular industry, mitigation measures to be followed to trim down the carbon footprint, recommendations for further research are discussed in detail.

Success in solution business starts by accepting that solution" "business is a separate business model, not simply another product category or an extension of the existing product business. This book identifies the business model areas that firms need to focus on when transforming into solution business. It further organizes these areas into three sets of capabilities and practices: commercialization, industrialization and solution platforms. This is the first book to take a comprehensive view of success in solution business and its relevance therefore extends to all functions of firms wanting to become solution providers as well as to many managerial levels. The book will also help you self-assess how ready your organization is for success in solution business.

The ISO 9001 standard is brief and fairly straightforward, unlike a commonly held misconception. An ISO 9001-based quality management system has something to offer any organization regardless of size or type of industry, or even the kind of product or service an organization provides. The ISO 9001 Quality Procedures for Quality Management Systems comes with over 400 pages of practical documentation designed to help you comply with the latest version of the ISO 9001 standard. You don't need to start from scratch... it's already done for you

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 contributed volume contains the selected and reviewed papers of the 2nd Interdisciplinary Conference on Production, Logistics and Traffic (ICPLT) 2015, Dortmund, Germany. The topical focus lies on economic, ecological and societal issues related to commercial transport. The authors are international experts and the paper collection presents the state-of-the-art in the field, thus making this book a valuable read for both practitioners and researchers.

This textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers: Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique.

Production development is about improving existing production systems and developing new ones. The production system should be developed in integration with the product, as a part of the overall product realization process, and not in sequence after the product has already been designed. Production Development: Design and Operation of Production Systems takes a holistic viewpoint on the production system and its design process during the whole system life cycle. A working procedure demonstrating how to design and realize the production system is presented, together with a number of related production development aspects.

Production Development: Design and Operation of Production Systems is illustrated with a large number of figures and industrial examples. The book can be used as a reference for teachers and students, or as a manual for professionals within the field of production.

This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: * Stochastic modeling and analysis of manufacturing systems * Design, analysis, and optimization of manufacturing systems * Facilities planning, transportation, and material handling systems analysis * Production planning, scheduling systems, management, and control * Analytical approaches to logistics and supply chain management * Integrated productivity and quality models, and their analysis * Literature surveys of issues relevant in manufacturing systems * Case studies of manufacturing system operations and analysis Today's manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.

Quality is becoming the most important competitive issue. The customer demands quality making it imperative to businesses to take it in serious consideration. It has become a matter of survival to provide a quality product. The concern with quality demands a) a better definition of the quality concept for each firm; b) a constant monitoring and planning of the quality standards and actions; and c) a continuous control of operations towards a quality objective. This is essentially the message and the content of this book: That quality needs to be defined contingent on the specific activities of the firm; that quality needs to be constantly monitored through a specific planning and recording system and finally, that quality is essentially the result of strong control activities. Belkaoui reviews the various approaches to the specification of the quality concept, the type of recording systems appropriate for its monitoring and the detailed control procedures needed to achieve it.

The book should be very helpful to executives involved in a total quality control program, management accountants involved in the control of quality and accounting students in managerial accounting courses.

The book is devoted to the problem of manufacturing scheduling, which is the efficient allocation of jobs (orders) over machines (resources) in a manufacturing facility. It offers a comprehensive and integrated perspective on the different aspects required to design and implement systems to efficiently and effectively support manufacturing scheduling decisions. Obtaining economic and reliable schedules constitutes the core of excellence in customer service and efficiency in manufacturing operations. Therefore, scheduling forms an area of vital importance for competition in manufacturing companies. However, only a fraction of scheduling research has been translated into practice, due to several reasons. First, the inherent complexity of scheduling has led to an excessively fragmented field in which different sub problems and issues are treated in an independent manner as goals themselves, therefore lacking a unifying view of the scheduling problem. Furthermore, mathematical brilliance and elegance has sometimes taken preference over practical, general purpose, hands-on approaches when dealing with these problems. Moreover, the paucity of research on implementation issues in scheduling has restricted translation of valuable research insights into industry. "Manufacturing Scheduling Systems: An Integrated View on Models, Methods and Tools" presents the different elements constituting a scheduling system, along with an analysis the manufacturing context in which the scheduling system is to be developed. Examples and case studies from real implementations of scheduling systems are presented in order to drive the presentation of the theoretical insights. The book is intended for an ample readership including industrial engineering/operations post-graduate students and researchers, business managers, and readers seeking an introduction to the field.

This monograph addresses several critical problems to the operations of shipping lines and ports, and provides algorithms and mathematical models for use by shipping lines and port authorities for decision support. One of these problems is the repositioning of container ships in a liner shipping network in order to adjust the network to seasonal shifts in demand or changes in the world economy. We provide the first problem description and mathematical model of repositioning and define the liner shipping fleet repositioning problem (LSFRP). The LSFRP is characterized by chains of interacting activities with a multi-commodity flow over paths defined by the activities chosen. We first model the problem without cargo flows with a variety of well-known optimization techniques, as well as using a novel method called linear temporal optimization planning that combines linear programming with partial-order planning in a branch-and-bound framework. We then model the LSFRP with cargo flows, using several different mathematical models as well as two heuristic approaches. We evaluate our techniques on a real-world dataset that includes a scenario from our industrial collaborator. We show that our approaches scale to the size of problems faced by industry, and are also able to improve the profit on the reference scenario by over US$14 million.

Development projects that span different disciplines and groups often face problems in establishing a shared understanding of the project's purpose, deliverables, and direction. Creating Shared Understanding in Product Development Teams: How to 'Build the Beginning' uses research-based cases from TC Electronic, The Red Cross, Daimler AG, and Copenhagen Living Lab to demonstrate one approach to this problem complex. It shows how prototyping specific physical artifacts can function as drivers and focal points for creating the much needed shared understanding. Encompassing both the participant's and the facilitator's point of view, Creating Shared Understanding in Product Development Teams: How to 'Build the Beginning' provides both practical examples and theoretical explanation for the process of creating shared understanding. This book provides a toolbox and a practical guide for planning, executing, and facilitating workshops. The result is a clear outline of how to facilitate the creation of physical artifacts that enables and stimulates communication between team members, users, and stakeholders in order to create shared understanding of projects

Behavioral Operations Management has been identified in the last years as one of the most promising emerging fields in Operations Management. "Behavioral Issues in Operations Management" explains and examines up-to-date research in this field, which works to analyze the impact of human behavior on the management of complex operating systems.

A collection of studies from leading scholars presents different methodologies and approaches, supported by real data and case studies. Issues such as building trust and strong cooperative relationships with suppliers, enhancing motivation and designing proper incentives for stimulating more effective decision maker behaviours are considered. The main decision-making processes affected by behavioral issues are also analyzed with a focus on new product development, logistics, and supply chain integration.

The broad coverage of methodologies and practical implications makes "Behavioral Issues in Operations Management" an ideal reference for both researchers developing new topics such as NK fitness landscapes and managers with an interest in behavioral management operations.

This contributed volume contains the selected and thoroughly reviewed research papers presented at the conference on logistics management LM2015 in Braunschweig, Germany. The conference of the special interest group in logistics of the German Academic Association for Business Research (VHB) was held in conjunction with the special interest group on production of the VHB. Thus, the papers reflect the current state-of-the-art in logistics and supply chain management while focusing especially on aspects of production logistics, i.e., facility layout, inventory management, line configuration, or flexible production.