PMID- 37319165
OWN - NLM
STAT- MEDLINE
DCOM- 20230619
LR  - 20231120
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 18
IP  - 6
DP  - 2023
TI  - Assessing the critical success factors for implementing industry 4.0 in the 
      pharmaceutical industry: Implications for supply chain sustainability in emerging 
      economies.
PG  - e0287149
LID - 10.1371/journal.pone.0287149 [doi]
LID - e0287149
AB  - The emerging technologies of Industry 4.0 (I4.0) are crucial to incorporating 
      agility, sustainability, smartness, and competitiveness in the business model, 
      enabling long-term sustainability practices in the pharmaceutical supply chain 
      (PSC). By leveraging the latest technologies of I4.0, pharmaceutical companies 
      can gain real-time visibility into their supply chain (SC) operations, allowing 
      them to make data-driven decisions that improve SC performance, efficiency, 
      resilience, and sustainability. However, to date, no research has examined the 
      critical success factors (CSFs) that enable the pharmaceutical industry to adopt 
      I4.0 successfully to enhance overall SC sustainability. This study, therefore, 
      analyzed the potential CSFs for adopting I4.0 to increase all facets of 
      sustainability in the PSC, especially from the perspective of an emerging economy 
      like Bangladesh. Initially, sixteen CSFs were identified through a comprehensive 
      literature review and expert validation. Later, the finalized CSFs were clustered 
      into three relevant groups and analyzed using a Bayesian best-worst method 
      (BWM)-based multi-criteria decision-making (MCDM) framework. The study findings 
      revealed that "sufficient investment for technological advancement", "digitalized 
      product monitoring and traceability", and "dedicated and robust research and 
      development (R&D) team" are the top three CSFs to adopt I4.0 in the PSC. The 
      study's findings can aid industrial practitioners, managers, and policymakers in 
      creating effective action plans for efficiently adopting I4.0 in PSC to avail of 
      its competitive benefits and ensure a sustainable future for the pharmaceutical 
      industry.
CI  - Copyright: (c) 2023 Debnath et al. This is an open access article distributed under 
      the terms of the Creative Commons Attribution License, which permits unrestricted 
      use, distribution, and reproduction in any medium, provided the original author 
      and source are credited.
FAU - Debnath, Binoy
AU  - Debnath B
AUID- ORCID: 0000-0001-9047-1428
AD  - Department of Industrial and Production Engineering, Bangladesh University of 
      Engineering and Technology, Dhaka, Bangladesh.
FAU - Shakur, Md Shihab
AU  - Shakur MS
AUID- ORCID: 0000-0001-8873-5877
AD  - Department of Industrial and Production Engineering, Bangladesh University of 
      Engineering and Technology, Dhaka, Bangladesh.
FAU - Bari, A B M Mainul
AU  - Bari ABMM
AUID- ORCID: 0000-0002-3075-4247
AD  - Department of Industrial and Production Engineering, Bangladesh University of 
      Engineering and Technology, Dhaka, Bangladesh.
FAU - Saha, Joy
AU  - Saha J
AD  - Department of Mechanical and Production Engineering, Ahsanullah University of 
      Science and Technology, Dhaka, Bangladesh.
FAU - Porna, Wazida Akter
AU  - Porna WA
AUID- ORCID: 0009-0006-3251-9730
AD  - Department of Mechanical and Production Engineering, Ahsanullah University of 
      Science and Technology, Dhaka, Bangladesh.
FAU - Mishu, Mostarin Jahan
AU  - Mishu MJ
AD  - Department of Mechanical and Production Engineering, Ahsanullah University of 
      Science and Technology, Dhaka, Bangladesh.
FAU - Islam, Abu Reza Md Towfiqul
AU  - Islam ARMT
AUID- ORCID: 0000-0001-5779-1382
AD  - Department of Disaster Management, Begum Rokeya University, Rangpur, Bangladesh.
FAU - Rahman, Muhommad Azizur
AU  - Rahman MA
AUID- ORCID: 0000-0002-4299-3085
AD  - Department of Mechanical and Production Engineering, Ahsanullah University of 
      Science and Technology, Dhaka, Bangladesh.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20230615
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
RN  - 0 (Pharmaceutical Preparations)
SB  - IM
MH  - Bayes Theorem
MH  - *Commerce
MH  - *Drug Industry
MH  - Investments
MH  - Pharmaceutical Preparations
PMC - PMC10270361
COIS- The authors have declared that no competing interests exist.
EDAT- 2023/06/15 19:14
MHDA- 2023/06/19 13:08
PMCR- 2023/06/15
CRDT- 2023/06/15 13:54
PHST- 2023/05/07 00:00 [received]
PHST- 2023/06/01 00:00 [accepted]
PHST- 2023/06/19 13:08 [medline]
PHST- 2023/06/15 19:14 [pubmed]
PHST- 2023/06/15 13:54 [entrez]
PHST- 2023/06/15 00:00 [pmc-release]
AID - PONE-D-23-13927 [pii]
AID - 10.1371/journal.pone.0287149 [doi]
PST - epublish
SO  - PLoS One. 2023 Jun 15;18(6):e0287149. doi: 10.1371/journal.pone.0287149. 
      eCollection 2023.