2854. Optimizing product allocation for automated drug dispensers at central fill pharmacies
Invited abstract in session TD-11: Pharmaceuticals and manufacturers, stream OR in Healthcare (ORAHS).
Tuesday, 14:30-16:00Room: Clarendon SR 1.03
Authors (first author is the speaker)
| 1. | Marieke Brederveld
|
| 2. | Renzo Akkerman
|
| Operations Research and Logistics, Wageningen University | |
| 3. | Sander De Leeuw
|
| Wageningen University & Research |
Abstract
Part of the daily operations of central fill pharmacies consist of collating and shipping of medication to local pharmacies based on client orders. There exist various designs of automated order collation systems to facilitate the order fulfilment. The system considered in our study consists of multiple parallel working automated drug dispensers and one basket loading machine; which requires more manual labor. Therefore we aim to achieve a higher percentage of client orders for which the automated drug dispenser can be used.
The allocation of products in a parallel operating system design is however challenging. It resembles a densest k-clustering hypergraph problem, but also has additional characteristics. Therefore, we developed an effective solution method to find a product allocation that leads to a higher rate of orders filled by the automated drug dispensers, and runs in a reasonable amount of time, given the characteristics of the set of orders and assortment, and given the slot design of the machines.
Keywords
- Health Care
- Production and Inventory Systems
Status: accepted
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