An integrated inventory and distribution planning problem for the blood products: An application for the Turkish Red Crescent

Download

dsl_2023_3.pdf

Date

2023-01-01

Author

Kurt, Atil
Azizoğlu, Meral
Çetinkaya, Ferda Can

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

193
views

69
downloads

This study considers an integrated inventory planning and distribution problem based on an applied case at the Turkish Red Crescent’s Central Anatolian Regional Blood Center. We define two echelons, the first echelon being the regional blood center and the second echelon being the districts. The blood products are perishable so that the outdated products are disposed of at the end of their lives. We aim to minimize the cost of inventory keeping at both echelons, the shortage, and disposal amounts at the second echelon. We consider two distribution strategies: all deliveries are realized by the regional blood center (current implementation), and the deliveries are directly from the regional blood center or the other districts. We develop a mixedinteger linear programming model for each strategy. Our experimental results show that the decentralized strategy brings significant cost reductions over the centralized strategy. The mathematical model for the centralized distribution strategy can handle large-sized instances. On the other hand, the model for the decentralized distribution strategy is more complex and could not handle large-sized instances in our pre-specified termination limit of two hours. For largesized instances of the decentralized distribution strategy, we design a decomposition-based heuristic algorithm that benefits from the optimal solutions of the original model and finds nearoptimal solutions very quickly.

Subject Keywords

Inventory planning and distribution, Perishable products, Centralized and decentralized distribution strategies, Mixed-integer linear programming, Decomposition-based heuristic algorithm

URI

https://growingscience.com/dsl/online_issues_dsl.html
https://hdl.handle.net/11511/101490

Journal

DECISION SCIENCE LETTERS

DOI

https://doi.org/10.5267/dsl.2023.1.004

Collections

Department of Industrial Engineering, Article

Suggestions

OpenMETU
Core

An integrated inventory and distribution planning problem for the blood products: An application for the Turkish Red Crescent Kurt, Atil; Azizoğlu, Meral; Çetinkaya, Ferda Can (2023-01-01) This study considers an integrated inventory planning and distribution problem based on an applied case at the Turkish Red Crescent’s Central Anatolian Regional Blood Center. We define two echelons, the first echelon being the regional blood center and the second echelon being the districts. The blood products are perishable so that the outdated products are disposed of at the end of their lives. We aim to minimize the cost of inventory keeping at both echelons, the shortage, and disposal amounts at the sec...
A blood distribution system: an application to the Turkish Red Crescent Kurt, Atıl; Azizoğlu, Meral; Çetinkaya, Ferda Can; Department of Industrial Engineering (2018) In this study, we consider the blood distribution system in Turkey and focus on Central Anatolian Regional Blood Center. Our problem differs from the classical distribution problems as it resides irradiation centers, urgent demands, vehicle availability and traveling time restrictions. In this study, we considered two problems. To address the first problem, we develop a mixed integer linear program with two objectives: maximizing the demand satisfaction and minimizing total time travelled by the vehicles. W...
A blood distribution problem with new transportation options - An application for the Turkish Red Crescent Kurt, Atil; Çetinkaya, Ferda Can; Azizoğlu, Meral (Inderscience Publishers, 2019-01-01) This paper considers the blood distribution problem in the Central Anatolian Regional Blood Centre of the Turkish Red Crescent (TRC) and proposes several demand satisfaction options considering the irradiation centres, urgent demands, and product availability. Our aim is to maximise the total weighted blood demand satisfaction. To address the problem, we develop a mixed integer linear programming model and propose a hybrid genetic algorithm (HGA). The results of our experiments have revealed that the mathem...
The impact of the Southeastern Anatolia Project on the inter-regional inequalities in Turkey Toybıyık, Sibel Süer; Gedik, Ayşe; Department of City and Regional Planning (2003) The aim of this study is to examine the impact of the South Eastern Anatolia Project (GAP) on the inter-regional inequality between the GAP region and the rest of Turkey. Cross-sectional analyses are carried out for the years of 1990 and 2000, that is, before the project is put into effect and 10 years after of its implementation. Although this thesis is ultimately concerned with the inter-regional inequality, the within and the total-region inequality are also discussed. Moreover, since not only the econom...
Solution approaches to the blood distribution problem of the Turkish Red Crescent Kurt, Atil; Azizoğlu, Meral; ÇETİNKAYA, FERDA CAN (Inderscience Publishers, 2018-01-01) This paper considers the blood distribution problem that includes irradiation centres, urgent demands, and product availability in Turkey, Central Anatolian Regional Blood Center of the Turkish Red Crescent. To address the problem, we develop a mixed integer linear program with two objectives: maximising the demand satisfaction and minimising total time travelled by the vehicles. We propose two decomposition-based heuristic solution approaches. The results of our experiments have revealed that the model can...

Citation Formats

A. Kurt, M. Azizoğlu, and F. C. Çetinkaya, “An integrated inventory and distribution planning problem for the blood products: An application for the Turkish Red Crescent,” DECISION SCIENCE LETTERS, vol. 12, pp. 1–10, 2023, Accessed: 00, 2023. [Online]. Available: https://growingscience.com/dsl/online_issues_dsl.html.