The impact of transshipment on an integrated platelet supply chain: A multi-stage stochastic programming approach. (February 2023)
- Record Type:
- Journal Article
- Title:
- The impact of transshipment on an integrated platelet supply chain: A multi-stage stochastic programming approach. (February 2023)
- Main Title:
- The impact of transshipment on an integrated platelet supply chain: A multi-stage stochastic programming approach
- Authors:
- Xu, Yuan
Szmerekovsky, Joseph - Abstract:
- Highlights: A multi-stage stochastic program for a platelet supply chain is presented. Benefits of transshipment between hospitals on performance improvement is studied. A multi-stage stochastic model performs better than a two-stage stochastic program. Recruiting more donors and maintaining a suitable inventory level improve performance. Optimal performance can be obtained without following a FIFO policy. Abstract: This paper presents a multi-stage stochastic optimization model to minimize total cost under centralized control for a multi-echelon platelet supply chain which takes into account transshipment, demand uncertainty, stock age information, two types of supply, and three types of patients. The objective is to study the impact of transshipment between hospitals on performance improvement using a multi-stage stochastic framework to capture dynamic demand so as to explore approaches to improve an integrated platelet supply chain. Applicability of the model is tested through a real-world platelet supply chain with one blood center, three collection facilities, and five hospitals. The proposed multi-stage stochastic model is shown to perform better than a two-stage stochastic program in handling random daily demand and it also shows transshipment helps with alleviating shortage and wastage and reallocating stock at hospitals to improve system cost efficiency. Further, sensitivity analysis indicates that recruiting more apheresis platelet donors at hospitals andHighlights: A multi-stage stochastic program for a platelet supply chain is presented. Benefits of transshipment between hospitals on performance improvement is studied. A multi-stage stochastic model performs better than a two-stage stochastic program. Recruiting more donors and maintaining a suitable inventory level improve performance. Optimal performance can be obtained without following a FIFO policy. Abstract: This paper presents a multi-stage stochastic optimization model to minimize total cost under centralized control for a multi-echelon platelet supply chain which takes into account transshipment, demand uncertainty, stock age information, two types of supply, and three types of patients. The objective is to study the impact of transshipment between hospitals on performance improvement using a multi-stage stochastic framework to capture dynamic demand so as to explore approaches to improve an integrated platelet supply chain. Applicability of the model is tested through a real-world platelet supply chain with one blood center, three collection facilities, and five hospitals. The proposed multi-stage stochastic model is shown to perform better than a two-stage stochastic program in handling random daily demand and it also shows transshipment helps with alleviating shortage and wastage and reallocating stock at hospitals to improve system cost efficiency. Further, sensitivity analysis indicates that recruiting more apheresis platelet donors at hospitals and maintaining an initial inventory level that is close to the daily demand of hospitals are efficient strategies to improve performance of the platelet supply chain. In addition, we observed that imposing a FIFO issuing policy is not necessary for achieving optimal performance. These findings suggest that administrators and decision makers can improve cost efficiency in the platelet supply chain by implementing transshipment between hospitals, recruiting more donors, maintaining a suitable inventory level, and making collection and production plans in a shorter stage length. … (more)
- Is Part Of:
- Computers & industrial engineering. Volume 176(2023)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 176(2023)
- Issue Display:
- Volume 176, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 176
- Issue:
- 2023
- Issue Sort Value:
- 2023-0176-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-02
- Subjects:
- Integrated platelet supply chain -- Perishability -- Transshipment -- Multi-stage stochastic program
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2023.108991 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
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