2001
DOI: 10.1016/s0950-7051(01)00100-9
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An object-oriented intelligent design tool to aid the design of manufacturing systems

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Cited by 41 publications
(9 citation statements)
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“…The emergence of interest in BI has increased in the recent decade (Li 1999, Feng et al 2001, Shi et al 2007, Duan et al 2007, Xu et al 2008, Jiang et al 2009, Wang et al 2011, Xu 2011a. However, many business analytics implementations have not yet employed the advanced technology.…”
Section: Discussionmentioning
confidence: 99%
“…The emergence of interest in BI has increased in the recent decade (Li 1999, Feng et al 2001, Shi et al 2007, Duan et al 2007, Xu et al 2008, Jiang et al 2009, Wang et al 2011, Xu 2011a. However, many business analytics implementations have not yet employed the advanced technology.…”
Section: Discussionmentioning
confidence: 99%
“…These new technologies made flexible manufacturing systems (FMSs) possible through the widespread adoption of computer numerical control (CNC) machinery and industrial robots. Furthermore, the technologies for computer-aided manufacturing (CAM), computer-aided design (CAD) and computer-aided processing planning (CAPP) led to computer integrated manufacturing (CIM) (Feng et al , 2001; Xu et al , 2018). The Fourth Industrial Revolution (Industry 4.0) is mainly represented by the introduction of Cyber Physical Systems (CPS), Cloud Computing (CC) and Internet of Things (IoT) (Jasperneite, 2012; Kagermann et al , 2013; Lasi et al , 2014; Hermann et al , 2016; Qin et al , 2016; Li, 2017; Kumari et al , 2018).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The DSSs developed until now in the planning and scheduling area have used different KR formalisms: Markov decision processes [7,8], production rules [6,9,10], genetic and evolutionary algorithms [11,12], objectoriented techniques [9,10,13], agents [10,13], and Petri nets [10,14], among others, which usually deal with complex representations of the system behavior if a certain low abstraction level is required to deal with a proper plan. Furthermore, most of those techniques separate the knowledge on the structure from the knowledge on the behavior of the system, which usually is stored in relational databases, constraining in this way the possibility to explore the discrete event dynamic system (DEDS) performance in those situations not previously modelled, giving poor answers (estimations) during the "evaluation of alternatives" steps of a DSS.…”
Section: Decision Support System Approachmentioning
confidence: 99%