CBR and PLM applied to diagnosis and technical support during problem solving in the Continuous Improvement Process of manufacturing plants

Project Lifecycle Management (PLM): evolution and state of the art

“…Young 2012Back-end systems, front-end commerce applications, and the data warehouse Hachani et al (2013) Business Processes (BPs) Brezgin et al (2013) Cogeneration turbines Demoly et al (2013) Concurrent engineering Barthorpe et al (2004), Holzer (2014) Construction industry Vezzetti et al (2011) Consumer Packaged Goods (CPG) industry Sharma (2005) CPI -Collaborative Product Innovation Cáceres et al 2010Digital Manufacturing Iosif et al (2018) Electric aircraft Courtney (2014), Savino et al (2012) Electromechanical sectors Kultyshev et al (2013) Energy machine building enterprise Brunsmann et al 2012Engineering industry D'Avolio et al 2017Fashion companies Pinna et al (2017) Food industry Anderson (2002), Forcinio (2007) Goods industries Kubler et al (2015b) Healthcare Venugopalan et al (2012) Hi-tech area Avventuroso et al 2017, Vila et al (2017) Industry 4.0 Cai et al (2014), Fortineau et al (2013), Främling et al (2014) IoT Portillo- Barco & Charnley (2015) Jet engine Shi et al (2018), Camarillo et al (2017), Marconnet et al (2017), Essop et al (2016), Waurzyniak (2014), Bartholomew (2005), Wang & Xu (2005), Trappey & Hsiao (2008) Manufacturing Naval shipbuilding Stephens (2006) Nuclear energy Tinham (2003) Oil and gas Aziz et al (2005) 20182D/3D design software Brière-Côté et al 2010Adaptive Generic Product Structure (AGPS)…”

“…Customer relationship management (CRM) Fortineau et al (2017) Data Linked Through Occurrences Network (DALTON) Hincapié et al (2014) Dassault Systemes (DELMIA) Lee et al 2008bDelphi methods Ducellier et al (2014) Design Change Orders (DCO) Wiens (2006) Design data management (DDM) system. Anišić et al (2013) Design for Excellence (DFX) Marconnet et al 2017Design For Manufacturing and Assembly (DFMA) Vadoudi et al 2017Design for sustainability (DfS) Dhuieb (2014) Digital Factory Assistant (DFA) Sodhro et al 2018Duty-cycle optimization-based (JEHDO) algorithm Case (2006) Electrical control unit (ECU) Zhao et al 2015EnergyPlus' program Tang & Hu (2015), Holzer (2014), Simonova & Khisamutdinov (2013), Young (2012), Falkiewicz (2011), Wong (2006), Gort (2015), Barthorpe et al (2004), Shen & Zhou (2003) Enterprise Resource planning (ERP) Li & Wu (2005) Extensible Markup Language (XML) Tait (2006) Fashion Lifecycle Management (FLM) Shelley (2007) Finite element analysis (FEA) computation Paavel et al (2017), Kubler et al (2014), Lee et al (2008b) Fuzzy analytic hierarchy process [FAHP] Granros (2009) Hazard Analysis and Critical Control Points (HACCP) Portillo- Barco & Charnley (2015) High pressure nozzle guide vane (HPNGV) Främling et al 2014Hypertext transfer protocol (HTTP) Chungoora et al (2013) Knowledge Systems (IMKS) Holzer 2014Information Modeling (BIM) Authors Keywords Legardeur et al (2006) Innovation Development and Diffusion (ID2) system Li & Qi (2008) Integrated product model (IPM) Camarillo et al (2017Camarillo et al ( , 2018, Shi et al (2018) Integrates Case-Based Reasoning (CBR) Lee et al 2008bKano model Al-Ashaab et al 2012Knowledge-based envi...…”

Multi-agent model for risk prediction in surgery

“…Case-Based Reasoning (CBR) is a paradigm of artificial intelligence based on the elaboration of solutions by analogy with past experiences and general knowledge in the field of application. It is widely used in medicine [5], in the industrial maintenance [6] or in the stock market analysis [7]. To find a solution, the RÃ PC needs a base of solved cases, the characterization of similarities and finally the knowledge of adaptation processes.…”

Product Lifecycle Management as Data Repository for Manufacturing Problem Solving

“…The architecture of the system is based on SEASALT (Shared Experience using an Agent-based System Architecture LayouT) [ 16 ], which is a multi-case-based, domain-independent reasoning architecture for extracting, analyzing, sharing, and providing experiences. Camarillo et al [ 17 , 18 ] show a description of a first prototype and initial results. Camarillo et al [ 5 ] shows the MPS process model, the architecture of the developed prototype, the main ontology to support the MPS process, and the validation of the prototype.…”