Operations Management Models

This is the first book in the field that uses the power of the basic models and principles to provide students and managers with an "intuitive understanding" of operations management. The book touches on nine fundamental models and principles, and outlines the key insights behind each one. Some of the very biggest names in the Management Science field have developed and carefully written these chapters on the field’s basic models.

This important book is by top scholars in supply chain management, revenue management, and e-commerce, all of which are grounded in information technologies and consumer demand research. The book looks at new selling techniques designed to reach the consumer.

This book provides a comprehensive overview of how to strategically manage the movement and storage of products or materials from any point in the manufacturing process to customer fulfillment. Topics covered include important tools for strategic decision making, transport, packaging, warehousing, retailing, customer services and future trends. An introduction to logistics Provides practical applications Discusses trends and new strategies in major parts of the logistic industry

Market_Desc: · Business Studies, Accounting, Finance, and Operations Management courses that offer practical computing skills as an integral part of the course syllabus· Managers and Analysts who want to develop their model-building skills Special Features: · The use of spreadsheet models in finance, business and management decision-making is on the increase· Other books on spreadsheet modeling tend to focus on applied management science and complex financial models, which restricts the market· This new edition will follow the active learning approach which focuses on the practical aspect of how to build computer models while summarizing the mathematical logic as to why the model is so constructed· A website will accompany the text, containing hands on development models to enable the reader to put theory into practice.· A new chapter entitled Investment Analysis Models will be added to widen the appeal to students in finance and accounting.· All references to Excel (including the Excel refresher notes in the appendix) have been upgraded to reflect the latest version of Microsoft Office (e. g. Excel 2003 and Windows XP)· Job sequencing including a VBA routine for Johnson s Rule· Multiplicative Holt-Winter s model About The Book: This text adopts an active learning approach with the emphasis being placed on the utilization of software tools to help build models. The learn by example approach used throughout the book guides the user through the complexities of model building. Every day examples from business and operations management form the basis of the book s hands on development models that help the reader to appreciate Excel s power and flexibility.

This text is an introduction to Operations Management. Three themes are woven throughout the book: optimization or trying to do the best we can, managing tradeoffs between conflicting objectives, and dealing with uncertainty. After a brief introduction, the text reviews the fundamentals of probability including commonly used discrete and continuous distributions and functions of a random variable. The next major section, beginning in Chapter 7, examines optimization. The key fundamentals of optimization—inputs, decision variables, objective(s), and constraints—are introduced. Optimization is applied to linear regression, basic inventory modeling, and the newsvendor problem, which incorporates uncertain demand. Linear programming is then introduced. We show that the newsvendor problem can be cast as a network flow linear programming problem. Linear programming is then applied to the problem of redistributing empty rental vehicles (e.g., bicycles) at the end of a day and the problem of assigning students to seminars. Several chapters deal with location models as examples of both simple optimization problems and integer programming problems. The next major section focuses on queueing theory including single-and multi-server queues. This section also introduces a numerical method for solving for key performance metrics for a common class of queueing problems as well as simulation modeling. Finally, the text ends with a discussion of decision theory that again integrates notions of optimization, tradeoffs, and uncertainty analysis. The text is designed for anyone with a modest mathematical background. As such, it should be readily accessible to engineering students, economics, statistics, and mathematics majors, as well as many business students.

The thoroughly revised and updated book, now in its second edition, continues to present a comprehensive view of the concepts and applications of various quantitative models used in the study of operations and supply chain management. It provides a complete account of location and layout models, production planning models, production control models, cycle inventory models, safety stock models and transportation models. A separate chapter on real-life situations provides the user with the knowledge of specific areas where the models have been applied in decision-making processes. The various techniques to solve operations and supply chain management problems are also discussed. The text is supported by a large number of illustrative examples, exercises and review questions to reinforce the students’ understanding of the subject matter. Designed as a textbook for the students of mechanical and industrial engineering, the book would also be useful to postgraduate students of management. NEW TO THE SECOND EDITION • Two new chapters on ‘Production Control—Additional Approaches’ (Chapter 6) and ‘Materials Planning and Lot Sizing’ (Chapter 8) • Forecasting and Aggregate Planning are described in two separate chapters • Each chapter includes new sections, additional examples, illustrations, short questions and exercises • Provides solutions to the exercises

This text focuses on the application of management decision-making tools in the field of production and operations. It provides an analysis of strategic decision-making problems and solutions on resource allocation, forecasting, and scheduling in manufacturing, services, and inventory management.

This fascinating new core textbook, authored by a highly respected academic with over a decade of industry experience, takes a global and strategic approach to the important topic of operations management (OM). Integrating contemporary and traditional theories the text covers everything a student needs to understand the reality of operations in the modern world and combines the latest cutting-edge thinking with innovative learning features. Written in a concise and engaging style and based on up-to-date research in the field, the book provides a range of international case studies and examples that help students to apply theoretical knowledge to real-world practice. This is a must-have textbook for students studying operations management modules on undergraduate, postgraduate and MBA programmes. In addition, this is an ideal textbook to accompany modules on operations strategy, production management and services management. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/operations-management. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Varying factors such as the aging of the population, the increasing burden of chronic conditions and the recent global pandemic have highlighted the need for a redesign of healthcare production processes. This book provides a useful framework to capture the necessary organizational conditions to successfully implement operations strategies within healthcare organizations. The Operations Management (OM) function has become crucial; in fact, it is essential for managing the flow of both patients and supplies, in an efficient, responsive and flexible manner. The book outlines the models and operational solutions to these two key areas that characterize OM in healthcare: patient flow logistics, with the goal of optimizing the entire production cycle from first access by the patient to discharge and follow-up; and supply chain management, with the goal of ensuring that resources are successfully managed throughout the production lifecycle. The examples and case studies included in the book are based on the experience of the author who has had the opportunity to do research and training in the area of operations management, within different types of healthcare delivery organizations at both the national and international level, and often at publicly owned institutions. The book is a useful guide for students, managers and policy makers interested in the development and implementation of the OM function in healthcare delivery organizations.

Since the beginning of mankind on Earth, if the "busyness" process was successful, then some form of benefit sustained it. The fundamentals are obvious: get the right inputs (materials, labor, money, and ideas); transform them into highly demanded, quality outputs; and make it available in time to the end consumer. Illustrating how operations relate to the rest of the organization, Production and Operations Management Systems provides an understanding of the production and operations management (P/OM) functions as well as the processes of goods and service producers. The modular character of the text permits many different journeys through the materials. If you like to start with supply chain management (Chapter 9) and then move on to inventory management (Chapter 5) and then quality management (Chapter 8), you can do so in that order. However, if your focus is product line stability and quick response time to competition, you may prefer to begin with project management (Chapter 7) to reflect the continuous project mode required for fast redesign rapid response. Slides, lectures, Excel worksheets, and solutions to short and extended problem sets are available on the Downloads / Updates tabs. The project management component of P/OM is no longer an auxiliary aspect of the field. The entire system has to be viewed and understood. The book helps students develop a sense of managerial competence in making decisions in the design, planning, operation, and control of manufacturing, production, and operations systems through examples and case studies. The text uses analytical techniques when necessary to develop critical thinking and to sharpen decision-making skills. It makes production and operations management (P/OM) interesting, even exciting, to those who are embarking on a career that involves business of any kind.