Decision support tool for used oil regeneration technologies assessment and selection

PROMETHEE: A comprehensive literature review on methodologies and applications

“…Chemometrics methods: PCA/data pretreatment Carmody et al (2006) To analyze the kaolinite surface infrared spectra Chemometrics methods: PCA Carmody et al (2007) To select a sorbent for an oil spill application Chemometrics methods: PCA Herngren et al (2006) Ranking the sites and particle sizes from best to worst in terms of heavy metal pollution Chemometrics methods: PCA Hendriks et al (1992) Optimization a coating process of fine granules - Khalil et al (2004) To evaluate and select suitable site for sewage effluent renovation Chemometrics methods: PCA Khalil et al (2005) To select hydrothermal conditions of waste sludge destruction Chemometrics methods: PCA Khelifi et al (2006b) To assess and rank oil regeneration technologies - Kokot et al (1992a) To select a suitable microwave digestion method PCA Kokot et al (1992b) To select a suitable microwave digestion method PCA, SIMCA, and fuzzy clustering Kumar et al (2006) Ranking the alternatives for biomass collection systems - Lerche et al (2002) Ranking 12 high production volume Chemical substances - Lewi et al (1992) Ranking experiments on the quality of treated polyester Pareto optimal points Lim et al (2005) Ranking the air samples and identifying the sources of the pollutants Chemometrics methods: PCA Lim et al (2006) Ranking the cars based on the emission factors powered by liquefied petroleum gas and unleaded petrol Chemometrics methods: PCA Lim et al (2007a) Ranking the emission factors from cars in terms of the types of the fuels Chemometrics methods: PCA Lim et al (2007b) Ranking the emission factors from buses in term of the diesel fuels Chemometrics methods: PCA/PLS Ni et al (2002) Ranking Chemometrics methods according to their performances in industrial electroplating…”

A Systematic Review of Multi-criteria Decision-making Applications in Reverse Logistics

“…We will discuss these two dimensions in the next sections. PROMETH EE (Chen, Ngo et al 2012); (Rousis, Moustakas et al 2008); ; ) (Khelifi, Dalla Giovanna et al 2006) (Ghazilla, Taha et al 2014) ; (Khalil, Goonetilleke et al 2004); (Al-Rashdan, AlKloub et al 1999); (Margeta, Fontane et al 1990); (Geldermann, Spengler et al 2000); (Spengler, Geldermann et al 1998 …”

Distributed or centralised energy-from-waste policy? Implications of technology and scale at municipal level

“…The need to include the qualitative views and opinions of conflicting actors and experts has ensured that multi-criteria analysis methods has remained a useful appraisal tool (Barda et al, 1990;Cheng et al, 2003;Dai et al, 2001;Dujim and Markert, 2002;Khelifi et al, 2006;Norese, 2003). The need to account for local conditions has led to an increasing use of spatial decision tools based on geographical information systems (GIS) to model base line waste conditions, identify potential facility locations and estimate transport impacts (Cheng et al, 2003;Maniezzo et al, 1998;Matejicek et al, 2006;Nilsson et al, 2005;Shmelev and Powell, 2006).…”