Applying mathematical models to surgical patient planning

More documents

Recommendations

Info

Applying Mathematical Models to Surgical Patient Planning Toepassen van mathematische modellen voor de planning van chirurgische patiënten Proefschrift ter verkrijging van de graad van doctor aan de Erasmus Universiteit Rotterdam op gezag van de rector magnificus Prof.dr. H.G. Schmidt en volgens besluit van het College voor Promoties. De openbare verdediging zal plaatsvinden op Vrijdag 4 september 2009 om 11.30 uur door Jeroen Martijn van Oostrum geboren te Maarssen.
Promotiecommissie Promotor: Prof.dr.A.P.M. Wagelmans Overige leden: Prof.dr.ir. R. Dekker Prof.dr.ir. J.M.H. Vissers Dr.ir. E.W. Hans Copromotor: Dr. G. Kazemier Erasmus Research Institute of Management – ERIM Rotterdam School of Management (RSM) Erasmus School of Economics (ESE) Erasmus University Rotterdam Internet: http://www.erim.eur.nl ERIM Electronic Series Portal: http://hdl.handle.net/1765/1 ERIM PhD Series in Research in Management, 179 Reference number ERIM: EPS-2009-179-LIS ISBN 978-90-5892-217-5 © 2009, Jeroen M. van Oostrum Design: B&T Ontwerp en advies www.b-en-t.nl Print: Haveka www.haveka.nl All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the author.
Page 1 and 2: JEROEN VAN OOSTRUM Applying mathema
Page 6 and 7: Acknowledgements This thesis is a p
Page 8 and 9: Contents iii Contents Acknowledgeme
Page 10 and 11: Contents v 5.2. Modeling resource d
Page 12 and 13: Contents vii 4.4. Step 4: Define a
Page 14: Chapter 1 Introduction Parts appear
Page 17 and 18: 4 Introduction high-level care to p
Page 19 and 20: 6 Introduction The OR department is
Page 21 and 22: 8 Introduction elective surgeries (
Page 23 and 24: 10 Introduction central planner dec
Page 25 and 26: 12 Introduction 5. A 7-stepwise app
Page 27 and 28: 14 Introduction The organization ma
Page 29 and 30: 16 Introduction room-days to a mast
Page 31 and 32: 18 Introduction Hans, E., Wullink,
Page 33 and 34: 20 Introduction
Page 36 and 37: Chapter 2 Improving operating room
Page 38 and 39: Chapter 2 25 Unit1 Unit 2 Unit 3 Un
Page 40 and 41: Chapter 2 27 2.3. Planned slack and
Page 42 and 43: Chapter 2 29 surgery. Surgical depa
Page 44 and 45: Chapter 2 31 3. Results Applying th
Page 46 and 47: Chapter 2 33 4. Discussion The stud
Page 48 and 49: Chapter 2 35 8. Marcon E, Kharraja
Page 50: Chapter 3 A method for clustering s
Page 53 and 54:
40 A method for clustering surgical
Page 55 and 56:
Page 57 and 58:
Page 59 and 60:
Page 61 and 62:
Page 63 and 64:
Page 66 and 67:
Chapter 4 A master surgical schedul
Page 68 and 69:
Chapter 4 55 Jebali et al. 2006) an
Page 70 and 71:
Chapter 4 57 ponents. This principl
Page 72 and 73:
Chapter 4 59 procedures on an OR-da
Page 74 and 75:
Chapter 4 61 This model has two mai
Page 76 and 77:
Chapter 4 63 The dual constraints o
Page 78 and 79:
Chapter 4 65 beds for all days with
Page 80 and 81:
Chapter 4 67 Cycle length Number of
Page 82 and 83:
Chapter 4 69 Initialization heurist
Page 84 and 85:
Chapter 4 71 scheduling of OR depar
Page 86 and 87:
Chapter 4 73 Van den Akker JM, Hoog
Page 88:
Chapter 5 Fewer intensive care unit
Page 91 and 92:
78 Fewer intensive care unit refusa
Page 93 and 94:
Page 95 and 96:
Page 97 and 98:
Page 99 and 100:
Page 102 and 103:
Chapter 6 Implementing a master sur
Page 104 and 105:
Chapter 6 91 centers encompass all
Page 106 and 107:
Chapter 6 93 approach. Creating suc
Page 108 and 109:
Chapter 6 95 We define a master sur
Page 110 and 111:
Chapter 6 97 difference existed bet
Page 112 and 113:
Chapter 6 99 4.5. Step 5: Construct
Page 114 and 115:
Chapter 6 101 unknown. However, whe
Page 116 and 117:
Chapter 6 103 McLaughlin, C.P., Yan
Page 118 and 119:
Chapter 7 Requirements for a full s
Page 120 and 121:
Chapter 7 Requirements for a full s
Page 122 and 123:
Chapter 7 109 Erasmus MC deals with
Page 124 and 125:
Chapter 7 111 on in an OR that is d
Page 126 and 127:
Chapter 7 113 2.4. Modeling the OR
Page 128 and 129:
Chapter 7 115 Total number of guara
Page 130 and 131:
Chapter 7 117 Mean number of OR tea
Page 132 and 133:
Chapter 7 119 Not guaranteeing all
Page 134 and 135:
Chapter 7 121 schedules are properl
Page 136 and 137:
Chapter 8 Closing emergency operati
Page 138 and 139:
Chapter 8 Closing emergency operati
Page 140 and 141:
Chapter 8 127 Figure 1: Visualizati
Page 142 and 143:
Chapter 8 129 Interrupting the exec
Page 144 and 145:
Appendix to Chapter 8 Letter 1: non
Page 146 and 147:
Chapter 9 A simulation model for de
Page 148 and 149:
Chapter 9 A simulation model for de
Page 150 and 151:
Chapter 9 137 performed at least ei
Page 152 and 153:
Chapter 9 Case durations wwere draw
Page 154 and 155:
Chapter 9 141 Scenarios with fewer
Page 156 and 157:
Chapter 9 143 Figure 2: Proportions
Page 158 and 159:
Chapter 9 145 4. Discussion A simul
Page 160 and 161:
Chapter 9 147 References 1. Simoens
Page 162 and 163:
Chapter 10 Concluding remarks and i
Page 164 and 165:
Chapter 10 Concluding remarks and i
Page 166 and 167:
Chapter 10 153 processes. Ideally,
Page 168 and 169:
Nederlandse samenvatting (Summary i
Page 170 and 171:
157 binnen operatiekamercomplexen w
Page 172 and 173:
Curriculum Vitae Jeroen van Oostrum
Page 174 and 175:
ERASMUS RESEARCH INSTITUTE OF MANAG
Page 176 and 177:
Brumme, W.-H., Manufacturing Capabi
Page 178 and 179:
Gilsing, V.A., Exploration, Exploit
Page 180 and 181:
Iwaarden, J.D. van, Changing Qualit
Page 182 and 183:
Le-Duc, T., Design and Control of E
Page 184 and 185:
Mom, T.J.M., Managers’ Exploratio
Page 186 and 187:
Quak, H.J., Sustainability of Urban
Page 188 and 189:
Szkudlarek, B.A., Spinning the Web
Page 190 and 191:
Wielemaker, M.W., Managing Initiati
Page 194:
Erasmus Research Institute of Manag
show all

Applying mathematical models to surgical patient planning

Create successful ePaper yourself

Delete template?

Save as template?