Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The papers presented in this open access book address diverse challenges in decarbonizing energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids, and from theoretical considerations to data provision concerns and applied case studies. While most papers have a clear methodological focus, they address policy-relevant questions at the same time. The target audience therefore includes academics and experts in industry as well as policy makers, who are interested in state-of-the-art quantitative modelling of policy relevant problems in energy systems. The 2nd International Symposium on Energy System Optimization (ISESO 2018) was held at the Karlsruhe Institute of Technology (KIT) under the symposium theme “Bridging the Gap Between Mathematical Modelling and Policy Support” on October 10th and 11th 2018. ISESO 2018 was organized by the KIT, the Heidelberg Institute for Theoretical Studies (HITS), the Heidelberg University, the German Aerospace Center and the University of Stuttgart.

Cybernetics & systems theory --- Operational research --- Mathematical modelling --- Operations research. --- Management science. --- System theory. --- Mathematical models. --- Operations Research, Management Science. --- Systems Theory, Control. --- Mathematical Modeling and Industrial Mathematics. --- Models, Mathematical --- Simulation methods --- Systems, Theory of --- Systems science --- Science --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Industrial engineering --- Management science --- Research --- System theory --- Philosophy --- Mathematics --- Mathematical models

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is open access under a CC BY 4.0 license. This open access book offers comprehensive coverage on Ordered Fuzzy Numbers, providing readers with both the basic information and the necessary expertise to use them in a variety of real-world applications. The respective chapters, written by leading researchers, discuss the main techniques and applications, together with the advantages and shortcomings of these tools in comparison to other fuzzy number representation models. Primarily intended for engineers and researchers in the field of fuzzy arithmetic, the book also offers a valuable source of basic information on fuzzy models and an easy-to-understand reference guide to their applications for advanced undergraduate students, operations researchers, modelers and managers alike.

Engineering. --- Operations research. --- Management science. --- Computational intelligence. --- Control engineering. --- Computational Intelligence. --- Control. --- Operations Research/Decision Theory. --- Operations Research, Management Science. --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Construction --- Industrial arts --- Technology --- Control and Systems Theory. --- Decision making. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making --- fuzzy prediction models --- uncertainty modeling --- trend processing --- propagation of uncertainty --- fuzzy arithmetic --- analysis --- defuzzyfication --- Kosinski’s fuzzy numbers --- Automatic control.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book presents new ideas to model and solve the flexible shift planning problem of personnel workers in the service industry. First, a new modeling approach is proposed that requires shifts to be generated implicitly rather than employing a predefined set of shift types like three 8-hour or two 12-hour shifts to cover varying forecast demand. The objective is to minimize the total cost of the assignments given the general and individual labor restrictions. Second, to find high quality assignments two solution methodologies are presented. A heuristic decomposition strategy decomposes the problem into weekly subproblems whereas a branch-and-price algorithm that uses several branching rules decomposes the model by worker types. The master problem uses a set covering formulation whereas the subproblems are mixed integer programs. The modeling and solution methodologies are developed and tested using the example of physicians from an anesthesia department of a German university hospital.

Hospitals -- Administration -- Mathematical models. --- Shift systems -- Mathematical models. --- Shift systems --- Industrial management --- Physicians --- Hospitals --- Time Management --- Personnel Staffing and Scheduling --- Models, Theoretical --- Personnel Management --- Health Facilities --- Health Personnel --- Human Engineering --- Psychology, Industrial --- Organization and Administration --- Investigative Techniques --- Health Care Facilities, Manpower, and Services --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Psychology, Applied --- Psychology --- Occupational Groups --- Health Services Administration --- Psychological Phenomena and Processes --- Health Care --- Behavioral Sciences --- Persons --- Behavioral Disciplines and Activities --- Named Groups --- Psychiatry and Psychology --- Hospitals & Medical Centers --- Labor & Workers' Economics --- Management Theory --- Public Health --- Business & Economics --- Management --- Health & Biological Sciences --- Mathematical models --- Time management --- Employees --- Industrial management. --- Administration. --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Hospital administration --- Hospital management --- Management and regulation --- Medicine. --- Organization. --- Planning. --- Operations research. --- Decision making. --- Public health. --- Mathematical optimization. --- Management science. --- Medicine & Public Health. --- Medicine/Public Health, general. --- Operation Research/Decision Theory. --- Optimization. --- Public Health. --- Operations Research, Management Science. --- Business --- Industrial organization --- Health services administration --- Operations Research/Decision Theory. --- Organisation --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Health Workforce --- Creation (Literary, artistic, etc.) --- Executive ability --- Organization --- Quantitative business analysis --- Problem solving --- Statistical decision --- Community health --- Health services --- Hygiene, Public --- Hygiene, Social --- Public health services --- Public hygiene --- Social hygiene --- Health --- Human services --- Biosecurity --- Health literacy --- Medicine, Preventive --- National health services --- Sanitation --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making