1997
DOI: 10.1016/s0196-8904(96)00186-0
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A prototype expert system for the conceptual synthesis of thermal processes

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Cited by 12 publications
(3 citation statements)
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“…These studies were divided into 26 sectors and three fields of application: (1) Execution of process planning activities, (2) Manufacturing planning, and (3) Diverse applications. Within this line of research, there were a number of studies focusing on thermal technology selection (Katayama et al., 2004; Melli & Sciubba, 1997), thermal process design and equipment selection (Jaluria, 2008), and drying process selection (Do et al., 2014; Kemp, 2007; Lababidi & Baker, 2003; Weres et al., 2010). However, it was found that most multi‐criteria decision support applications in manufacturing used traditional economic or financial indicators that were not true measures of sustainability.…”
Section: Literature Reviewmentioning
confidence: 99%
“…These studies were divided into 26 sectors and three fields of application: (1) Execution of process planning activities, (2) Manufacturing planning, and (3) Diverse applications. Within this line of research, there were a number of studies focusing on thermal technology selection (Katayama et al., 2004; Melli & Sciubba, 1997), thermal process design and equipment selection (Jaluria, 2008), and drying process selection (Do et al., 2014; Kemp, 2007; Lababidi & Baker, 2003; Weres et al., 2010). However, it was found that most multi‐criteria decision support applications in manufacturing used traditional economic or financial indicators that were not true measures of sustainability.…”
Section: Literature Reviewmentioning
confidence: 99%
“…An expert system for marine power plant design was developed by Akagi, Fujita, and Kubonish (1988), where knowledge is described in the form of an object-oriented representation. Melli and Sciubba (1997) presented a prototype expert system called Colombo for the conceptual synthesis of thermal processes. Colombo works backwards, considering the design goal as an effect, and trying to find its causes.…”
Section: Cogeneration Design Aspectsmentioning
confidence: 99%
“…This kind of problem can be well approached through an artificial intelligence technique known as knowledge-based system. 1 Knowledge-based systems (KBS) have been successfully applied to different engineering designs [5][6][7] and energy system designs [8][9][10][11]. This technique is also suited for analytic tasks, such as diagnostics [12].…”
mentioning
confidence: 99%