Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
SIMULATION
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Berchtold, G.
Right arrow Articles by Klose, S.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Other

Simulation Modeling as a Tool to Evaluate Alternative Configurations of Clinical Laboratories

Günter Berchtold

Seminar für Systemforschung Universitat München

Helga Blaschke

Seminar für Systemforschung Universitat München

Friedrich Hanssmann

Seminar für Systemforschung Universitat München

Franz Liebl

Seminar für Systemforschung Universitat München

Siegmund Lorenz Braun

Institut für Klinische Chemie und Laboratoriumsmedizin, Deutsches Herzzentrum des Freistaates Bayern

Wolfgang Vogt

Institut für Klinische Chemie und Laboratoriumsmedizin, Deutsches Herzzentrum des Freistaates Bayern

Martin Eckert

Boehringer Mannheim GmbH, Forschung & Entwicklung Tutzing

Georg Hoffmann

Boehringer Mannheim GmbH, Forschung & Entwicklung Tutzing

Sigmar Klose

Boehringer Mannheim GmbH, Forschung & Entwicklung Tutzing

Due to manifold and complex interactions in a clinical laboratory, it is difficult to assess how organizational changes or new equipment may affect overall performance. We present a simulation system that is able to model arbitrary configurations of clinical laboratories. Drawing on the experience of a fixed configuration model we have developed a flexible simulation model.

This model has been validated by several laboratories of different size and organizational structure.

Using the model the laboratory management is able to judge whether the additional cost for new equipment may be justified by better performance or whether performance can be maintained when measures of cost-cutting are taken.

Key Words: Clinical chemistry • labor atory management • SIMSCRIPT II.5 • work cell

SIMULATION, Vol. 63, No. 2, 108-120 (1994)
DOI: 10.1177/003754979406300205


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?