Knut Haase – författare

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2023), which was held at Universität Hamburg, Germany, August 29–September 1, 2023. More than 700 scientists, practitioners, and students from mathematics, computer science, business/economics, and related fields attended the conference and presented more than 500 papers in plenary presentations, parallel topic streams, as well as special award sessions.The book discusses classical mathematical optimization, statistics, and simulation techniques. These are complemented by computer science methods and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it encompasses addressing problems modeled and treated while considering factors such as uncertainty, risk management, and behavioral issues.

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2023), which was held at Universitat Hamburg, Germany, August 29-September 1, 2023. More than 700 scientists, practitioners, and students from mathematics, computer science, business/economics, and related fields attended the conference and presented more than 500 papers in plenary presentations, parallel topic streams, as well as special award sessions.The book discusses classical mathematical optimization, statistics, and simulation techniques. These are complemented by computer science methods and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it encompasses addressing problems modeled and treated while considering factors such as uncertainty, risk management, and behavioral issues.

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2023), which was held at Universität Hamburg, Germany, August 29–September 1, 2023. More than 700 scientists, practitioners, and students from mathematics, computer science, business/economics, and related fields attended the conference and presented more than 500 papers in plenary presentations, parallel topic streams, as well as special award sessions.The book discusses classical mathematical optimization, statistics, and simulation techniques. These are complemented by computer science methods and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it encompasses addressing problems modeled and treated while considering factors such as uncertainty, risk management, and behavioral issues.

Billions of dollars are tied up in the inventories of manufacturing companies which cause large (interest) costs. A small decrease of the inventory and/or production costs without reduction of the service level can increase the profit substantially. Especially in the case of scarce capacity, efficient production schedules are fundamental for short delivery time and on-time delivery which are important competitive priorities. To support decision makers by improving their manufacturing resource planning system with appropriate methods is one of the most of production planning. interesting challenges The following chapters contain new models and new solution strategies which may be helpful for decision makers and for further research in the areas of production planning and operations research. The main subject is on lotsizing and scheduling. The objectives and further characteristics of such problems can be inferred from practical need. Thus, before an outline is given, we consider the general objectives of lotsizing and scheduling and classify the most important characteristics of such problems in the following sections.