Operations Research Applications in Health Care Management

CHF 279.95
Auf Lager
SKU
3LOIPM4AE9E
Stock 1 Verfügbar
Geliefert zwischen Di., 03.03.2026 und Mi., 04.03.2026

Details

Each chapter includes a comprehensive background on the related research area and didactic numerical examples

Offers heuristic techniques to solve complex health care problems that cannot be solved by exact algorithms

Chapters are written by leading researchers in the field of health care management



Autorentext
Prof. Kahraman is a full professor at Istanbul Technical University. His research areas are engineering economics, quality management, statistical decision making, multicriteria decision making, and fuzzy decision making. He published more than 200 journal papers, about 150 conference papers, and 80 book chapters. He guest-edited some issues of many international journals. He is the editor of many international books from Springer and Atlantis Press. He is the member of editorial boards of 20 international journals. He was the vice dean of ITU Management Faculty between 2004-2007 and the head of ITU Industrial Engineering Department between 2010-2013.

Y. Ilker Topcu is a Professor of Decision Sciences at Industrial Engineering Department of Istanbul Technical University (ITU) Management Faculty. He completed his Ph.D. studies in Engineering Management (2000) at ITU and visited Leeds University Business School during these studies (1998-1999). Professor Topcu's research interests include multiple criteria decision making, decision analysis, operations research/management science. He is executive committee member of International Society of Multiple Criteria Decision Making. He has published in several journals.


Inhalt
Part 1: Overview.- A Taxonomy of Operations Research Studies in Health Care Management.- A Comprehensive Survey on Health Care Management.- Part 2: Medical Units in Hospital.- The Real Time Management of Operating Rooms. Mixed fuzzy clustering for deriving predictive models in intensive care units.- Operations Research for Occupancy Modeling at Hospital Wards and its Integration into Practice.- Part 3: Care Process: Preparedness.- Evaluating Health Care System Efficiency of OECD Countries: A DEA-Based Study.- Health Care Expenditure Prediction in Turkey using Genetic Algorithm based Grey Forecasting Models.- The Impact of Social Networks in Developing and Managing Chronic Care Models.- Part 4: Care Process: Precaution.- The design and planning of organ transplantation networks.- Blood Supply Chain Management and Future Research Opportunities.- Vaccine Supply Management.- Part 5: Care Process: Diagnosis and Prognosis.- OR Applications in Disease Screening.- Classification of Cancer Data: Analyzing Gene Expression Data Using a Fuzzy Decision Tree Algorithm.- Part 6: Care Process: Treatment.- Efficiency of Diabetes Treatment: Evidence from the UK.- A Multiobjective Solution Method for Radiation Treatment Planning.- Part 7: Medical Issues.- OR Models for Emergency Medical Service (EMS) Management.- Health Informatics.- OR applications in pharmaceutical supply chain management.- A Categorical DEA Framework for Evaluating Medical Tourism Efficiency of Top Destinations.- Part 8: Health Care Management.- Health Care Human Resource Planning.- Lean Health Care.- Procurement management in Health Care systems.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Editor Y. Ilker Topcu, Cengiz Kahraman
    • Titel Operations Research Applications in Health Care Management
    • Veröffentlichung 09.01.2018
    • ISBN 3319654535
    • Format Fester Einband
    • EAN 9783319654539
    • Jahr 2018
    • Größe H241mm x B160mm x T39mm
    • Untertitel International Series in Operations Research & Management Science 262
    • Gewicht 1086g
    • Auflage 1st edition 2018
    • Genre Management
    • Lesemotiv Verstehen
    • Anzahl Seiten 620
    • Herausgeber Springer International Publishing
    • GTIN 09783319654539

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470
Kundenservice: customerservice@avento.shop | Tel: +41 44 248 38 38