bibtype C - Conference Paper (international conference)
ARLID 0549079
utime 20220320214746.8
mtime 20211202235959.9
title (primary) (eng) Contingency plan selection under interdependent risks
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0549077
ISBN 978-84-09-36287-5
title Modelling for Engineering & Human Behaviour 2021
page_num 111-116
publisher
place Valencie
name Universidad Politécnica de Valencia
year 2021
keyword supply chain risks
keyword uncertainty
keyword Multi-Criteria Decision-Making
author (primary)
ARLID cav_un_auth*0414186
name1 Mzougui
name2 I.
country MA
author
ARLID cav_un_auth*0398866
name1 Carpitella
name2 Silvia
institution UTIA-B
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
country IT
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0256480
name1 Izquierdo
name2 J.
country ES
source
url http://library.utia.cas.cz/separaty/2021/MTR/carpitella-0549079.pdf
cas_special
abstract (eng) Managing supply chain risks (SCRs) has become an increasingly strategic key factor over the last decade, aimed at pursuing and maintaining business success. These types of risks clearly pose an important challenge to managers nowadays, and evaluating uncertainty affecting business scenarios is crucial. Indeed, COVID-19 has been dangerously affecting supply chains of global manufacturers, and is indicated as a main trigger cause of supply chain disruptions for a huge number of enterprises. Major effects derived from epidemic outbreaks on supply chains should be further adequately investigated since enterprises have been adopting poor risk management plans [1] to face them. Many companies, for instance, have been assuming a passive attitude towards the management of pandemic effects, simply waiting for the situation to come back to normality at hopefully short notice. On the other side, those companies that are more proactively reacting to the pandemic have been encountering countless difficulties in implementing risk management plans at operational levels [2].
action
ARLID cav_un_auth*0418154
name Mathematical Modelling Conference in Engineering & Human Behaviour 2021
dates 20210714
mrcbC20-s 20210716
place Valencia
country ES
RIV BA
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2022
num_of_auth 3
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0325734
confidential S
arlyear 2021
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0549077 Modelling for Engineering & Human Behaviour 2021 Universidad Politécnica de Valencia 2021 Valencie 111 116 978-84-09-36287-5