Evidence map›Paper›PMID 42502897›Full record

ArticleBiotechnology and bioengineering2026

Inventory Replenishment and Transshipment for Distributed Autologous Cell Therapy Manufacturing Networks.

Zhaowei Li, Chelsea C White, Kan Wang, Ben Wang

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zhaowei LiH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID https://orcid.org/0009-0008-5524-1166
Chelsea C WhiteH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0001-8520-4640
Kan WangGeorgia Tech Manufacturing Institute, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0001-9181-5448
Ben WangH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.

Funding

NSF Engineering Research Center for Cell Manufacturing Technologies (CMaT)
6 · The paper itself

Abstract

Autologous cell therapy (AuCT) manufacturing networks must balance two competing objectives: reducing cost and improving patient access to time-sensitive therapy. This study compares three AuCT manufacturing network designs: a centralized network with a single manufacturing facility, a coordinated point-of-care (POC) network in which POCs can coordinate and transship specimens and consumables when needed, and an independent POC network in which each POC operates separately. Minimizing the time from specimen harvest to therapy infusion is used as an operational proxy for patient benefit. The analysis considers reagent replenishment, specimen and reagent transshipment, patient deterioration while waiting for therapy manufacturing to begin or during the therapy manufacturing process, and bioreactor capacity planning under a high patient service-level requirement. Using data based on a commercial-style AuCT network with one manufacturing site, 20 geographically distributed POCs, and two consumable suppliers, the results show that the coordinated POC network can achieve total cost close to that of the centralized network while maintaining turnaround time close to that of the independent POC network. These findings provide decision-support insight for commercialization and industrialization of AuCT manufacturing by quantifying when coordinated distributed manufacturing may offer a practical compromise between the economic efficiency of centralized production and the responsiveness of local manufacturing.

Indexed as

Cell- and Tissue-Based TherapyPoint-of-Care SystemsBioreactorsHumansagent‐based simulationautologous cell therapycell manufacturingMarkov decision processespoint‐of‐caresupply chain

Identifiers

PMID42502897
PMCPMC13665665

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.