This book introduces readers to the many variables and constraints involved in planning and scheduling complex systems, such as airline flights and university courses. Students will become acquainted with the necessity for scheduling activities under conditions of limited resources in industrial and service environments, and become familiar with methods of problem solving. Written by an expert author with decades of teaching and industry experience, the book provides a comprehensive explanation of the mathematical foundations to solving complex requirements, helping students to understand underlying models, to navigate software applications more easily, and to apply sophisticated solutions to project management. This is emphasized by real-world examples, which follow the components of the manufacturing process from inventory to production to delivery. Undergraduate and graduate students of industrial engineering, systems engineering, and operations management will find this book useful in understanding optimization with respect to planning and scheduling.

Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization. The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development.

This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.

Mathematical programming: an overview; solving linear programs; sensitivity analysis; duality in linear programming; mathematical programming in practice; integration of strategic and tactical planning in the aluminum industry; planning the mission and composition of the U.S. merchant Marine fleet; network models; integer programming; design of a naval tender job shop; dynamic programming; large-scale systems; nonlinear programming; a system for bank portfolio planning; vectors and matrices; linear programming in matrix form; a labeling algorithm for the maximun-flow network problem.

Understanding how to make the best of human skills and knowledge is essential in the design of technology and jobs, particularly where these involve decision-making and uncertainty. Recent developments have been made in naturalistic decision-making, distributed cognition and situational awareness, particularly with respect to aviation, transport and strategic planning, the nuclear industry and other high-risk industries. Despite the integration of computer-based support systems in production scheduling in recent years, the reality is that most enterprises consist of reactive re-scheduling, involving a high degree of human involvement. It is often with the insight, knowledge and skills of people that scheduling skills can function with any degree of success. Human Performance in Planning and Scheduling covers many industries, including clothing, steel, machine tools, paper/board, and the automobile industry. Using international case studies from various manufacturing industries, they highlight the fact that the human scheduler is a pivotal element in the scheduling process. Each section of the book includes an introduction with an overview of the material to follow, clearly identifying themes, discussion points and highlights inter-connections between the authors' work.

Offers a ten-step approach to schedule development and curriculum planning in secondary schools; and includes exercises, worksheets, related anecdotes, and other tools.

This is a revision of a classic which integrates managerial issues with practical applications, providing a broad foundation for decision-making. It incorporates recent developments in inventory management, including Just-in-Time Management, Materials Requirement Planning, and Total Quality Management.