We are pleased to welcome readers to this issue of Lecture Notes in Management Science (LNMS), Volume 11. The series reports significant scientific research results in the field of operational research and management science (OR/MS). The variety of material published usually includes proceedings or post-proceedings for respective conferences, monographs and technical reports which may be based on outstanding research projects.
The book introduces concepts, principles, methods and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems and working with management professionals in implementing new information systems. This book of Information Systems and Management Science (proceedings of ISMS 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field.
These proceedings gather contributions presented at the 1st International Conference on Applied Operational Research (ICAOR 2008) in Yerevan, Armenia, September 15-17, 2008, published in the series Lecture Notes in Management Science (LNMS). The conference covers all aspects of Operational Research and Management Science (OR/MS) with a particular emphasis on applications.
This volume provides a complete record of presentations made at Industrial Engineering, Management Science and Applications 2015 (ICIMSA 2015), and provides the reader with a snapshot of current knowledge and state-of-the-art results in industrial engineering, management science and applications. The goal of ICIMSA is to provide an excellent international forum for researchers and practitioners from both academia and industry to share cutting-edge developments in the field and to exchange and distribute the latest research and theories from the international community. The conference is held every year, making it an ideal platform for people to share their views and experiences in industrial engineering, management science and applications related fields.
Welcome to the proceedings of the Sixth International Conference on Management Science and Engineering Management (ICMSEM2012) held from November 11 to 14, 2012 at Quaid-i-Azam University, Islamabad, Pakistan and supported by Sichuan University (Chengdu, China), Quaid-i-Azam University (Islamabad, Pakistan) and The National Natural Science Foundation of China. The International Conference on Management Science and Engineering Management is the annual conference organized by the International Society of Management Science and Engineering Management. 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 results. The papers are classified into 8 sections: Computer and Networks, Information Technology, Decision Support System, Industrial Engineering, Supply Chain Management, Project Management, Manufacturing and Ecological Engineering. The key issues of the sixth ICMSEM cover various areas in MSEM, such as Decision Support System, 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, Heuristics Algorithms, Risk Control, and Carbon Credits.
Introduction to Management Science, 2e offers a unique case study approach and integrates the use of Excel. Each chapter includes a case study that is meant to show the students a real and interesting application of the topics addressed in that chapter. This most recent revision has been thoroughly updated to be more "user-friendly" and more technologically advanced. These changes include, a completely new chapter on the art of modeling with spreadsheets. This unique chapter goes far beyond anything found in other textbooks and are based on the award winning methodologies used by Mark Hillier in his own course. The technology package has also been greatly enhanced to include, Crystal Ball 2000 (Professional Edition) a Management Science Online Learning Center, and an Excel add-in called Alver Table for performing sensitivity analysis. Crystal Ball is the most popular Excel add-in for computer simulation and includes OptQuest (an optimizer with simulation) as well as a forecasting module. The Management Science Online Learning Center (website) includes several modules that enable students to interactively explore certain management science techniques in depth. Solver Table is an Excel add-in developed by the author to help perform sensitivity analysis systematically, as well as substantially expanded coverage of computer simulation, including Crystal Ball. We now have two chapters on computer simulation instead of one, where the second chapter features the use of Crystal Ball.all.
The present book is based on the research papers presented in the International Conference on Emerging Trends in Science, Engineering and Technology 2012, held at Tiruchirapalli, India. The papers presented bridges the gap between science, engineering and technology. This book covers a variety of topics, including mechanical, production, aeronautical, material science, energy, civil and environmental energy, scientific management, etc. The prime objective of the book is to fully integrate the scientific contributions from academicians, industrialists and research scholars.
Companies face a variety of risks resulting from cost reduction strategies, rationalization measures, global sourcing, and outsourcing activities. Due to the large number of actors involved, extremely close ties emerge, which significantly increase supply chains’ vulnerability to disruptions – this has been shown again and again in the past few years. Against this background, the aspect of supply continuity is of increasing importance for all activities that relate to procurement, logistics, and supply chain management. Its objective is to ensure the continuous operation of supply chains, i.e., the uninterrupted flow of material, information, and coordination from the initial supplier to the end customer. Therefore, it is necessary to adopt adequate measures that take into consideration not only potential losses but also potential gains (so-called speculative risks). With this book, the concept of Supply Chain Safety Management is introduced. The concept itself is embedded in a comprehensive and dynamic management process. Depending on a supply chain’s individual objectives, a set of courses of action is offered for any risk factors – whether they are identifiable and quantifiable or not. The practicability of Supply Chain Safety Management is highlighted by various case studies. The book “Supply Chain Safety Management: Achieving Security and Robustness in Logistics” targets both the areas of science and of practice. First, the state of the art in research is reflected and valuable impulses for new and respectively for further research fields are provided by taking into consideration the points of view of scientists and practitioners in the business environment. Next, theoretically well‐substantiated, modern approaches and tools applicable to the business world are offered, an impetus for new ideas and fields of positioning is given and best practice examples are presented allowing a fruitful exchange of experiences between practitioners.
Combines topics from two traditionally distinct quantitative subjects, probability/statistics and management science/optimization, in a unified treatment of quantitative methods and models for management. Stresses those fundamental concepts that are most important for the practical analysis of management decisions: modeling and evaluating uncertainty explicitly, understanding the dynamic nature of decision-making, using historical data and limited information effectively, simulating complex systems, and allocating scarce resources optimally.
