PMID- 35035276
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20221109
IS  - 1573-2975 (Electronic)
IS  - 1387-585X (Print)
IS  - 1387-585X (Linking)
VI  - 24
IP  - 12
DP  - 2022
TI  - Implementation of the circular supply chain management in the pharmaceutical 
      industry.
PG  - 13705-13731
LID - 10.1007/s10668-021-02007-6 [doi]
AB  - The ever-increasing levels of pollution and waste creation have subjected 
      industries around the world to incorporate the concept of circular economy (CE) 
      in their supply chains. The amalgamation of the CE approach along with supply 
      chain management is called circular supply chain management (CSCM). Among other 
      industries, the pharmaceutical industry is also involved in damaging the 
      ecosystem. Hence, an effective framework for the adoption of CSCM in a particular 
      industry is very essential. Therefore, this paper aims to devise a model that 
      will help the pharmaceutical industries to adopt CSCM in their organizations. For 
      this purpose, the study in the first phase identifies ten barriers that are 
      working as an impediment in the adoption of the CSCM approach. To counter those 
      barriers, the study in the second phase identifies a set of twelve enablers. To 
      analyse the barriers and enablers, the study uses a new hybrid methodology. For 
      allocating weights and prioritizing the barriers, the fuzzy multi-criteria 
      decision-making (MCDM) technique, i.e. fuzzy full consistency method (F-FUCOM) is 
      used, whereas the total quality management tool, i.e. fuzzy quality function 
      deployment (FQFD) is used to rank the enablers. The results from F-FUCOM suggest 
      "lack of financial resources and funding", "market challenges", and "lack of 
      coordination and collaboration among the entire supply chain network" to be the 
      top-most barriers, respectively, whereas the results achieved from the FQFD 
      suggest "industrial symbiosis", "Reverse Logistic (RL) infrastructure", and 
      "block chain technology" to be the top-ranked enablers, respectively. The 
      provision of a facilitating framework for the adoption of CSCM in the 
      pharmaceutical industry and the newly developed hybrid methodology are both 
      novelties of this study.
CI  - (c) The Author(s), under exclusive licence to Springer Nature B.V. 2021.
FAU - Khan, Feroz
AU  - Khan F
AD  - MS in Engineering Management, School of Management Sciences, Ghulam Ishaq Khan 
      Institute of Engineering Sciences & Technology, Topi, Swabi, KPK Pakistan. GRID: 
      grid.442860.c. ISNI: 0000 0000 8853 6248
FAU - Ali, Yousaf
AU  - Ali Y
AUID- ORCID: 0000-0002-7612-497X
AD  - School of Management Sciences, Ghulam Ishaq Khan Institute of Engineering 
      Sciences & Technology, Topi, Swabi, KPK Pakistan. GRID: grid.442860.c. ISNI: 0000 
      0000 8853 6248
LA  - eng
PT  - Journal Article
DEP - 20220110
PL  - Netherlands
TA  - Environ Dev Sustain
JT  - Environment, development and sustainability
JID - 101769312
PMC - PMC8743089
OTO - NOTNLM
OT  - Circular economy
OT  - Circular supply chain management
OT  - Fuzzy logic
OT  - Multi-criteria decision making
OT  - Pharmaceutical
OT  - Quality function deployment
EDAT- 2022/01/18 06:00
MHDA- 2022/01/18 06:01
PMCR- 2022/01/09
CRDT- 2022/01/17 05:51
PHST- 2021/02/15 00:00 [received]
PHST- 2021/11/25 00:00 [accepted]
PHST- 2022/01/18 06:00 [pubmed]
PHST- 2022/01/18 06:01 [medline]
PHST- 2022/01/17 05:51 [entrez]
PHST- 2022/01/09 00:00 [pmc-release]
AID - 2007 [pii]
AID - 10.1007/s10668-021-02007-6 [doi]
PST - ppublish
SO  - Environ Dev Sustain. 2022;24(12):13705-13731. doi: 10.1007/s10668-021-02007-6. 
      Epub 2022 Jan 10.