Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 168-187 |
Seitenumfang | 20 |
Fachzeitschrift | Health care management science |
Jahrgang | 27 |
Ausgabenummer | 2 |
Frühes Online-Datum | 25 Jan. 2024 |
Publikationsstatus | Veröffentlicht - Juni 2024 |
Abstract
We present a new model formulation for a multiproduct dynamic order quantity problem with product returns and a reprocessing option. The optimization considers the limited shelf life of sterile medical devices as well as the capacity constraints of reprocessing and sterilization resources. The time-varying demand is known in advance and must be satisfied by purchasing new medical devices or by reprocessing used and expired devices. The objective is to determine a feasible procurement and reprocessing plan that minimizes the incurred costs. The problem is solved in a heuristic manner in two steps. First, we use a Dantzig-Wolfe reformulation of the underlying problem, and a column generation approach is applied to tighten the lower bound. In the next step, the obtained lower bound is transformed into a feasible solution using CPLEX. Our numerical results illustrate the high solution quality of this approach. The comparison with a simulation based on the first-come-first-served principle shows the advantage of integrated planning.
ASJC Scopus Sachgebiete
- Medizin (insg.)
- Medizin (sonstige)
- Gesundheitsberufe (insg.)
- Allgemeine Gesundheitsberufe
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in: Health care management science, Jahrgang 27, Nr. 2, 06.2024, S. 168-187.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Integrated procurement and reprocessing planning for reusable medical devices with a limited shelf life
AU - Rickers, Steffen
AU - Sahling, Florian
N1 - Publisher Copyright: © 2024, The Author(s).
PY - 2024/6
Y1 - 2024/6
N2 - We present a new model formulation for a multiproduct dynamic order quantity problem with product returns and a reprocessing option. The optimization considers the limited shelf life of sterile medical devices as well as the capacity constraints of reprocessing and sterilization resources. The time-varying demand is known in advance and must be satisfied by purchasing new medical devices or by reprocessing used and expired devices. The objective is to determine a feasible procurement and reprocessing plan that minimizes the incurred costs. The problem is solved in a heuristic manner in two steps. First, we use a Dantzig-Wolfe reformulation of the underlying problem, and a column generation approach is applied to tighten the lower bound. In the next step, the obtained lower bound is transformed into a feasible solution using CPLEX. Our numerical results illustrate the high solution quality of this approach. The comparison with a simulation based on the first-come-first-served principle shows the advantage of integrated planning.
AB - We present a new model formulation for a multiproduct dynamic order quantity problem with product returns and a reprocessing option. The optimization considers the limited shelf life of sterile medical devices as well as the capacity constraints of reprocessing and sterilization resources. The time-varying demand is known in advance and must be satisfied by purchasing new medical devices or by reprocessing used and expired devices. The objective is to determine a feasible procurement and reprocessing plan that minimizes the incurred costs. The problem is solved in a heuristic manner in two steps. First, we use a Dantzig-Wolfe reformulation of the underlying problem, and a column generation approach is applied to tighten the lower bound. In the next step, the obtained lower bound is transformed into a feasible solution using CPLEX. Our numerical results illustrate the high solution quality of this approach. The comparison with a simulation based on the first-come-first-served principle shows the advantage of integrated planning.
KW - Column generation
KW - Limited shelf life
KW - Material logistics in hospitals
KW - Procurement
KW - Reprocessing
KW - Reusable medical devices
KW - Sterile service department
UR - http://www.scopus.com/inward/record.url?scp=85183003886&partnerID=8YFLogxK
U2 - 10.1007/s10729-024-09664-9
DO - 10.1007/s10729-024-09664-9
M3 - Article
AN - SCOPUS:85183003886
VL - 27
SP - 168
EP - 187
JO - Health care management science
JF - Health care management science
SN - 1386-9620
IS - 2
ER -