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3621. Environmental and operational optimization of Central Sterile Supply Departments in Danish and German hospitals
Invited abstract in session MD-24: Sustainable Operations, stream Sustainable Supply Chains.
Monday, 14:30-16:00Room: 83 (building: 116)
Authors (first author is the speaker)
1. | Lukas Messmann
|
Resource Lab, University of Augsburg | |
2. | Robin Schlembach
|
Faculty of Business and Economics, University of Augsburg | |
3. | Jens Brunner
|
Department of Technology, Management, and Economics, Technical University of Denmark | |
4. | Sebastian Schiffels
|
Wirtschaftswissenschaftliche Fakultät, Universität Augsburg | |
5. | Axel Tuma
|
Faculty of Business Administration , University of Augsburg |
Abstract
Central Sterile Supply Departments (CSSD) play a critical role in the operation of hospitals and for their overall environmental footprint. Operationally, the batching of jobs and their scheduling and allocation to washer-disinfectors and sterilizers is a complex decision-making problem, with CSSDs being potential bottlenecks in surgery scheduling. Environmentally, on the one hand, CSSDs enable the reusing of surgical and other sterile equipment and thus help to reduce the environmental impacts of production and waste treatment associated with alternative disposable solutions. On the other hand, CSSDs themselves consume substantial amounts of electric and thermal energy, chemical cleaning agents, water, and disposable equipment (e.g., face masks, gloves, fleeces). Critically, operational and (various) environmental objectives are often strongly conflicting. In this work, we develop a two-stage batch-scheduling flexible flow shop model of a CSSD, which is parameterized with Life Cycle Assessment-based environmental data. The model and its parameters are validated by real-world cases of CSSDs in German and Danish hospitals. We anticipate the model to identify possible compromise solutions between conflicting objectives (e.g., by adjusting utilization rates and time-temperature profiles in autoclaves), thereby concurrently contributing to the operational efficiency and sustainable transformation of hospitals.
Keywords
- OR in Sustainability
- Multi-Objective Decision Making
- Medical Applications
Status: accepted
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