Evidence map›Paper›PMID 38173499›Full record

ArticleHeliyon2024

Development of a readiness model for industry 4.0 using Analytical Hierarchy process and fuzzy inference system: Bangladesh perspective.

S M Fahim Faisal, Sajal Chandra Banik, Pranta Sen Gupta

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

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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

3 authors.

S M Fahim FaisalDepartment of Mechatronics and Industrial Engineering, Chittagong University of Engineering and Technology, Bangladesh.
Sajal Chandra BanikDepartment of Mechanical Engineering, Chittagong University of Engineering and Technology, Bangladesh.
Pranta Sen GuptaDepartment of Mechatronics and Industrial Engineering, Chittagong University of Engineering and Technology, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid acceleration of innovation and the marvels of science and technology have introduced mankind to a new era known as the Fourth Industrial Revolution or Industry 4.0. As a developing country, Bangladesh should not lag behind in the concept of the domain known as Industry 4.0. A substantial number of industries across Bangladesh are coming forward to take on the challenges associated with this novel concept. It is, however, reported that many of them are now at the embryonic stage and only taking pilot initiatives. Before entering the domain of Industry 4.0, an industry must check its readiness and maturity to access the field, and that's where it comes to the importance of the readiness model. The main objective of this research is to propose a new readiness model based on the perspective of Bangladesh and developing countries like Bangladesh. Analytical Hierarchy Process and Fuzzy Inference System has been used for developing the model. There are four readiness levels in the proposed model that dictate the readiness of any particular industry. Through systematic literature review and expert opinion, 6 dimensions and their associated field have been identified for the determination of readiness level. In the later part of the research, a case study on one of the companies in the garments industry has been accomplished, and a radar chart is presented in order to illustrate the readiness of that garments industry. The results from the case study indicate that the ABC garments industry is in the Survival stage and several recommendations are then provided to cope better in that situation.

Indexed as

Analytical hierarchy processFuzzy inference systemFuzzy logicIndustrial revolutionIndustry 4.0

Identifiers

PMID38173499
PMCPMC10761807

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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.