2018
DOI: 10.1504/emjm.2018.10017839
|View full text |Cite
|
Sign up to set email alerts
|

A linguistic multi-objective mixed integer programming model for multi-echelon supply chain network at bio-refinery

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 7 publications
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…These include reduced customer satisfaction, lack of self-confidence, pessimism, high inflation, and long lead time [20]. Hence, a Supply Chain Network (SCN) must be designed and planned to maintain agility against any disruption [21][22][23]. Moreover, due to the pharmaceutical industry's macroeconomics role, variables such as employment, economic growth, and non-oil exports are considered crucial [24,25].…”
Section: Introductionmentioning
confidence: 99%
“…These include reduced customer satisfaction, lack of self-confidence, pessimism, high inflation, and long lead time [20]. Hence, a Supply Chain Network (SCN) must be designed and planned to maintain agility against any disruption [21][22][23]. Moreover, due to the pharmaceutical industry's macroeconomics role, variables such as employment, economic growth, and non-oil exports are considered crucial [24,25].…”
Section: Introductionmentioning
confidence: 99%