Abstract
Bearing in mind the new Supply Chain Management (SCM) paradigms, it is important that supply chains be aware of the implementation level of the main practices associated to each SCM paradigm (Lean, Agile, Resilient, and Green, hereafter referred as LARG). The main objective of this chapter is to propose a framework, based on Enterprise 2.0 approach, for global supply chains to assess their LARG index in order to evaluate the leanness, agility, resilience, and greenness of their practices. Enterprise 2.0 technologies and Fuzzy Logic techniques are used as enablers to the proposed LARG evaluation model in the following assessment tasks:1) determination of an adequate set of Lean, Agile, Resilient, and Green practices; 2) consensual definition of the relative weights of the considered practices; 3) adjustment of the evaluation policy to the particular supply chain; and 4) effective follow-up of the assessment results.
| Original language | English |
|---|---|
| Title of host publication | Research Methods |
| Subtitle of host publication | Concepts, Methodologies, Tools, and Applications |
| Publisher | IGI Global |
| Pages | 299-320 |
| Number of pages | 23 |
| Volume | 1-4 |
| ISBN (Electronic) | 978-146667457-8 |
| ISBN (Print) | 1466674563, 978-146667456-1 |
| DOIs | |
| Publication status | Published - 1 Jan 2015 |
Fingerprint
Keywords
- Supply chain management
Cite this
}
A framework proposal to assess the LARG index of a supply chain in a fuzzy context hre. / Fazendeiro, Paulo; Azevedo, Susana G.; Cruz-Machado, V.
Research Methods: Concepts, Methodologies, Tools, and Applications. Vol. 1-4 IGI Global, 2015. p. 299-320.Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - A framework proposal to assess the LARG index of a supply chain in a fuzzy context hre
AU - Fazendeiro, Paulo
AU - Azevedo, Susana G.
AU - Cruz-Machado, V.
N1 - Sem PDF.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Bearing in mind the new Supply Chain Management (SCM) paradigms, it is important that supply chains be aware of the implementation level of the main practices associated to each SCM paradigm (Lean, Agile, Resilient, and Green, hereafter referred as LARG). The main objective of this chapter is to propose a framework, based on Enterprise 2.0 approach, for global supply chains to assess their LARG index in order to evaluate the leanness, agility, resilience, and greenness of their practices. Enterprise 2.0 technologies and Fuzzy Logic techniques are used as enablers to the proposed LARG evaluation model in the following assessment tasks:1) determination of an adequate set of Lean, Agile, Resilient, and Green practices; 2) consensual definition of the relative weights of the considered practices; 3) adjustment of the evaluation policy to the particular supply chain; and 4) effective follow-up of the assessment results.
AB - Bearing in mind the new Supply Chain Management (SCM) paradigms, it is important that supply chains be aware of the implementation level of the main practices associated to each SCM paradigm (Lean, Agile, Resilient, and Green, hereafter referred as LARG). The main objective of this chapter is to propose a framework, based on Enterprise 2.0 approach, for global supply chains to assess their LARG index in order to evaluate the leanness, agility, resilience, and greenness of their practices. Enterprise 2.0 technologies and Fuzzy Logic techniques are used as enablers to the proposed LARG evaluation model in the following assessment tasks:1) determination of an adequate set of Lean, Agile, Resilient, and Green practices; 2) consensual definition of the relative weights of the considered practices; 3) adjustment of the evaluation policy to the particular supply chain; and 4) effective follow-up of the assessment results.
KW - Supply chain management
UR - http://www.scopus.com/inward/record.url?scp=84960483403&partnerID=8YFLogxK
U2 - 10.4018/978-1-4666-7456-1ch014
DO - 10.4018/978-1-4666-7456-1ch014
M3 - Chapter
SN - 1466674563
SN - 978-146667456-1
VL - 1-4
SP - 299
EP - 320
BT - Research Methods
PB - IGI Global
ER -