2015
DOI: 10.1007/978-3-319-22849-5_31
|View full text |Cite
|
Sign up to set email alerts
|

A Decision Support System for Hotel Facilities Inventory Management

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 7 publications
0
2
0
Order By: Relevance
“…The use of DSS also covers various problems in the supply chain, including transactions (Brauner et al, 2019;Moynihan & Wang, 2015), cost efficiency (Yan et al, 2014;Borade & Sweeney, 2015), monitoring (Singh & Randawa, 2015), decision making (Brauner et al, 2016), environment sustainability and hazard (Lenny Koh et al, 2013), inventory , operation management (Osoriuo Gomez et al, 2017), performance measurement (Marimin et al, 2017), planning (López-Milán & Plà-Aragonés, 2014), location (Zang et al, 2016, risk management (Benazzouz et al, 2017), entire supply chain (Kristianto et al, 2012), forecasting (Monteleone et al, 2015), orders (Guo & Guo, 2014), for instance for sustainable competitive advantage by Karthik et al (2015) and genetic identification by Bohanec et al (2017). Based on the results it can be seen that the use of DSS in the supply chain is influenced by factors of interest for the industry explicitly and comprehensively such as relations with suppliers, production and distributors compared with the complexity of particular cases of problems in the supply chain.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The use of DSS also covers various problems in the supply chain, including transactions (Brauner et al, 2019;Moynihan & Wang, 2015), cost efficiency (Yan et al, 2014;Borade & Sweeney, 2015), monitoring (Singh & Randawa, 2015), decision making (Brauner et al, 2016), environment sustainability and hazard (Lenny Koh et al, 2013), inventory , operation management (Osoriuo Gomez et al, 2017), performance measurement (Marimin et al, 2017), planning (López-Milán & Plà-Aragonés, 2014), location (Zang et al, 2016, risk management (Benazzouz et al, 2017), entire supply chain (Kristianto et al, 2012), forecasting (Monteleone et al, 2015), orders (Guo & Guo, 2014), for instance for sustainable competitive advantage by Karthik et al (2015) and genetic identification by Bohanec et al (2017). Based on the results it can be seen that the use of DSS in the supply chain is influenced by factors of interest for the industry explicitly and comprehensively such as relations with suppliers, production and distributors compared with the complexity of particular cases of problems in the supply chain.…”
Section: Discussionmentioning
confidence: 99%
“…The use of DSS in the supply chain has also been carried out by researchers in various sectors although there are not too many sectors, for example automotive (Park & Yoon, 2013), computers (Lin et al, 2011), construction (Guerlain, et al, 2019), e-Commerce (Yan et al, 2019), fisheries (Teniwut et al, 2013), food (Fikar, 2018), forestry (Gerasimov et al, 2013), humanitarian (Saksrisathaporn et al, 2012 ), logistics (Biswas & Samanta, 2016), medical (Benazzouz et al, 2017), petroleum (Buhulaiga & Telukdarie, 2018), ports (Lara Garcia & Vangampler, 2012), retailers (Borade & Sweeney, 2015), textile (Rabenasolo & Zeng, 2012), tourism (Monteleone et al, 2015) and wind farm (Lange et al, 2012). This empirical condition indicates that DSS used in the supply chain has been implemented in various industries even though in its implementation, the focus is on one sector but taking into account the distribution of its scope this shows the strength of DSS in helping to improve the supply chain performance.…”
Section: Discussionmentioning
confidence: 99%