Evidence map›Paper›PMID 22002797›Full record

ArticleJournal of medical systems2012

Increasing the reliability of production schedules in a pharmaceutical packaging department.

Dario Pacciarelli, Andrea D'Ariano

Abstract read
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In one paragraph

Article in Journal of medical systems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Dario PacciarelliDipartimento di Informatica e Automazione, Università degli Studi Roma Tre, via della vasca navale, 79, 00146 Roma, Italy. pacciarelli@dia.uniroma3.it
Andrea D'Ariano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper studies quantitative methods for evaluating the potential benefits of introducing new advanced tracking technologies in the pharmaceutical industry with special reference to radio frequency identification (RFID). RFID technology is an effective way for increasing the quality of the data that are used to generate production schedules, but there is a lack of scientific research to quantify the return on investment that can be achieved in practice. In this work, we distinguish two major sources of data unreliability: one is the inherent stochasticity of operations, which cannot be reduced by RFID, and the other one is the data estimation error, which can be significantly reduced by RFID. We focus on the marginal contribution of the latter quantity to the productivity of the packaging department of a pharmaceutical plant, propose a systematic method for assessing this impact and discuss its implementation in a practical test case. Our results confirm that advanced tracking technologies in combination with effective scheduling procedures show a significant potential for improving productivity. Extensions to other production environments and their issues associated with scheduling problems are also discussed.

Indexed as

Drug IndustryEfficiency, OrganizationalAlgorithmsDrug PackagingRadio Frequency Identification DeviceReproducibility of Results

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.