The DOI matches its Crossref record; 58 of the 59 references it cites were found in a registry or an index.
Challenge and opportunity research in blood supply chain management: a literature review
Open accessAbstract
An interconnected series of the blood management is called blood supply chain management (BSCM). The stages of BSCM consisted of blood collecting, production, inventory, and distribution. The main challenges in BSCM are related to shortage, outdate, and supply chain cost which needed to minimize. Naturally, problems in BSCM are complex, it is not an easy task to find the solution. This complexity brought by several factors as follows: its inflicted risk, the uncertainty of supply and demand, blood nature as perishable commodity, demand uniqueness, and cost occurred. This research purposes was to review of various research related to BSCM and highlight opportunities to develop further research in blood supply chain (BSC). The result of this research is a suggestion on various possible future research to be explored in BSC, for example, developing an adaptive inventory model to support blood supply chain management that could be responsive toward demand fluctuation and developing collecting strategy to minimize shortage, outdate and incurred cost in supply chain level.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Additionally, unlike other pharmaceutical products, the demand for blood at hospitals fluctuates and is not easily predicted.8”
From Effect of unmanned aerial vehicle (drone) delivery on blood product delivery time and wastage in Rwanda: a retrospective, cross-sectional study and time series analysis (2022) · cites this paper as [8]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Perishable Inventory Theory: A Review
Nahmias, S. (1982) · Operations Research · doi:10.1287/opre.30.4.680 · Cited by 1,215
Supply Chain Management of Blood Products: A Literature Review
Beliën, J., & Forcé, H. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2011.05.026 · Cited by 463
Supply chain design for efficient and effective blood supply in disasters
Fahimnia, B., Jabbarzadeh, A., Ghavamifar, A., & Bell, M. G. H. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.11.007 · Cited by 276
A two-stage stochastic programming model for inventory management in the blood supply chain
Dillon, M., Oliveira, F., & Abbasi, B. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.02.006 · Cited by 256
Challenges in the management of the blood supply
Williamson, L. M., & Devine, D. V. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60631-5 · Cited by 247
Blood Inventory Management: An Overview of Theory and Practice
Prastacos, G. P. (1984) · Management Science · doi:10.1287/mnsc.30.7.777 · Cited by 239
Osorio-Muriel, A. F., Brailsford, S., & Smith, H. K. (2015) · International Journal of Production Research · doi:10.1080/00207543.2015.1005766 · Cited by 239
Using simulation to improve the blood supply chain
Katsaliaki, K., & Brailsford, S. (2006) · Journal of the Operational Research Society · doi:10.1057/palgrave.jors.2602195 · Cited by 198
Delivery strategies for blood products supplies
Hemmelmayr, V. C., Doerner, K. F., Hartl, R. F., & Savelsbergh, M. W. P. (2008) · OR Spectrum · doi:10.1007/s00291-008-0134-7 · Cited by 175
Blood Inventory Management: Hospital Best Practice
Stanger, S. H. W., Yates, N. E., Wilding, R., & Cotton, S. (2012) · Transfusion Medicine Reviews · doi:10.1016/j.tmrv.2011.09.001 · Cited by 175
Research works printed but not linked: 10
- Blake J., Hardy M.,Using simulation to evaluate a blood supply network in the Canadian maritime provinces (2013) · DOI
- Blake, 2014, Opr Research for Health Care, 3, 116
- Dijk, 2009, optimization by SDP and simulation, 121, 464
- Dobson, 2016, Eur J of Opr Research, 0, 1
- Fortsch, 2016, In Opr Research for Health Care, 9, 16
- Hesse S.M., Coullard C.R., Daskin M.S., Hurter A.P., A case study in platelet inventory management, Proceedings of the 6th Ind Engineering Research Conf, 801-806 (1997)
- Mole, 1975, Inventory Control in Hospital, 3, 461
- Osorio, 2015, Int J of Prod Research, 1, 1
- Puranam, 2016, In Eur J of Opr Research, 259, 500, 10.1016/j.ejor.2016.11.005 · DOI
- Yuzgec E., Han Y., Nagarur N., A simulation model for blood supply chain systems, In IIE Annual Conference and Expo, 1703-1711 (2013)
Cited by
Nisingizwe, M. P., Ndishimye, P., Swaibu, K., Nshimiyimana, L., Karame, P., Dushimiyimana, V., Musabyimana, J. P., Musanabaganwa, C., Nsanzimana, S., & Law, M. R. (2022) · The Lancet Global Health · doi:10.1016/s2214-109x(22)00048-1 · Cited by 175
Li, N., Chiang, F., Down, D. G., & Heddle, N. M. (2021) · Operations Research for Health Care · doi:10.1016/j.orhc.2021.100290 · Cited by 63
Li, N., Arnold, D. M., Down, D. G., Barty, R., Blake, J. T., Chiang, F., Courtney, T., Waito, M., Trifunov, R., & Heddle, N. M. (2021) · Transfusion · doi:10.1111/trf.16739 · Cited by 52
Shih, H. M., & Rajendran, S. (2020) · Journal of Healthcare Engineering · doi:10.1155/2020/8881751 · Cited by 39
Kaconco, J., Nabuuma, B., Mugarura, J. T., & Kirabira, J. B. (2024) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2024.100247 · Cited by 24
Metadata
- Authors
- Mansur, A., Vanany, I., & Indah Arvitrida, N.
- Affiliations
- Institut Teknologi Sepuluh Nopember (ID)
- Venue
- MATEC Web of Conferences
- Publisher
- EDP Sciences
- Published
- 2018
- Volume
- 154
- Pages
- 01092
- ISSN
- 2261-236X (ISSN-L)
- OpenAlex
- W2791555357
- Cited by
- 31
- References
- 59
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 4 · 2023: 1 · 2022: 7 · 2021: 7 · 2020: 4 · 2019: 2
- FWCI
- 13.61
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- MATEC Web of Conferences (publishedVersion, cc-by)
- Springer Link (Chiba Institute of Technology) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Hematology › Blood donation and transfusion practices
- Social Sciences › Decision Sciences › Management Science and Operations Research › Supply Chain and Inventory Management
- Health Sciences › Medicine › Hematology › Blood transfusion and management
- Keywords
- blood shortage, perishable inventory, supply chain costs, demand uncertainty, blood inventory management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Challenge and opportunity research in blood supply chain management: a literature review. https://app.cochat.ai/papers/10.1051/matecconf/201815401092
- The paper
- Mansur, A., Vanany, I., & Indah Arvitrida, N. (2018). Challenge and opportunity research in blood supply chain management: a literature review. MATEC Web of Conferences. https://doi.org/10.1051/matecconf/201815401092
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
