Veštačka inteligencija u projektovanju inteligentnih tehnoloških sistema
Design of intelligent manufacturing systems by using artificial intelligence
2016
Autori
Petrović, MilicaOstala autorstva
Miljković, ZoranBabić, Bojan
Glavonjić, Miloš
Željković, Milan
Manić, Miodrag
Doktorska teza (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Intenzivan razvoj krajem osamdesetih, tokom devedesetih godina 20. veka i posebno posle 2000. godina, a koji je definitivno uspostavio i novu oblast istraživanja u proizvodnom inženjerstvu pod nazivom inteligentni tehnološki sistemi, ukazuje na pozitivan trend u pravcu ostvarivanja novih proizvodnih tehnologija u 21. veku. U vremenu kada je automatizacija proizvodnje gotovo dostigla svoj trenutni maksimum, tehnološka migracija od fleksibilnih ka inteligentnim tehnološkim sistemima i zadovoljavanje sve većih potreba globalnog tržišta ostvaruje se novim, multidisciplinarnim pristupom, baziranim na primeni naprednih biološki inspirisanih paradigmi 21. veka. Projektovanje tehnoloških procesa, terminiranje tehnoloških procesa, kao i terminiranje transportnih sredstava su među tri najvažnije funkcije inteligentnih tehnoloških sistema. Varijantnost u pogledu tehnoloških operacija obrade dela, kao i u pogledu alternativnih proizvodnih resursa (mašina alatki, alata, orijentacija alata), utiče n...a to da najveći broj delova u savremenim tehnološkim sistemima može imati više alternativnih tehnoloških procesa obrade. Iz tog razloga, određivanje optimalnih tehnoloških procesa obrade delova predstavlja jedan od najvažnijih ciljeva u ovoj naučnoj oblasti istraživanja. Kao i projektovanje tehnoloških procesa, terminiranje fleksibilnih tehnoloških procesa sa terminiranjem transportnih sredstava pripada klasi nedeterminističkih polinomnih problema, pa je stoga fokus istraživanja u okviru predmetne doktorske disertacije usmeren na razvoj biološki inspirisanih tehnika veštačke inteligencije u optimizaciji funkcija inteligentnih tehnoloških sistema, a u cilju povećanja njihove proizvodnosti, efikasnosti i ekonomičnosti...
At the beginning of the 21st century, a methodology that provides technological migration from flexible manufacturing systems to intelligent manufacturing systems is definitely based on biologically inspired methods. Process planning, scheduling and scheduling of internal transport systems (mobile robot) belong to most important functions of intelligent manufacturing systems. A variety of manufacturing operations together with a variety of alternative manufacturing resources (machine tools, cutting tools, tool access directions, etc.) provide that most jobs in the modern manufacturing systems may have a large number of alternative process plans. For that reason, obtaining an optimal process plan according to all alternative manufacturing resources as well as alternative operations has become a very important task in flexible process planning problem research. As process planning, scheduling function also belongs to NP hard (non deterministic polynomial problem) which means that time ex...ponentially increases with the increase of alternative machine tools, tools and TADs. Therefore, development of biologically inspired algorithms for optimization of proposed functions is the main focus of research efforts in this thesis. The doctoral dissertation is related to the implementation of three methodologies for conceptual design of intelligent manufacturing systems: axiomatic design theory is used for conceptual design of material transport which includes transport of raw material, goods and parts; inventive principles of TRIZ methodology are used as effective tool to define, analyze and solve integration problems at the conceptual design phase and multi-agent methodology is used to facilitate integration of manufacturing functions. The doctoral dissertation is related to the development and experimental verification of 6 novel optimization algorithms for process planning: (i) genetic algorithms - GA algorithm (section 6.1), (ii) simulated annealing - SA (section 6.2), (iii) hybrid GA-SA (section 6.3), (iv) modified particle swarm optimization algorithm - mPSO (section 6.4), (v) chaotic particle swarm optimization algorithm - cPSO...
Ključne reči:
unutrašnji transport / terminiranje tehnoloških procesa / teorija haosa / projektovanje tehnoloških procesa / optimizacija / mobilni robot / inteligentni tehnološki sistemi / integrisano projektovanje i terminiranje tehnoloških procesa / biološki inspirisani algoritmi optimizacije / scheduling / process planning / optimization / mobile robot / material handling system / intelligent manufacturing systems / integrated process planning and scheduling / chaos theory / bio-inspired optimization algorithmsIzvor:
2016Izdavač:
- Univerzitet u Beogradu, Mašinski fakultet
Finansiranje / projekti:
- Inovativni pristup u primeni inteligentnih tehnoloških sistema za proizvodnju delova od lima zasnovan na ekološkim principima (RS-MESTD-Technological Development (TD or TR)-35004)
URI
http://eteze.bg.ac.rs/application/showtheses?thesesId=4085https://nardus.mpn.gov.rs/handle/123456789/6868
https://fedorabg.bg.ac.rs/fedora/get/o:13655/bdef:Content/download
http://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=514706083
https://machinery.mas.bg.ac.rs/handle/123456789/40
Kolekcije
Institucija/grupa
Mašinski fakultetTY - THES AU - Petrović, Milica PY - 2016 UR - http://eteze.bg.ac.rs/application/showtheses?thesesId=4085 UR - https://nardus.mpn.gov.rs/handle/123456789/6868 UR - https://fedorabg.bg.ac.rs/fedora/get/o:13655/bdef:Content/download UR - http://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=514706083 UR - https://machinery.mas.bg.ac.rs/handle/123456789/40 AB - Intenzivan razvoj krajem osamdesetih, tokom devedesetih godina 20. veka i posebno posle 2000. godina, a koji je definitivno uspostavio i novu oblast istraživanja u proizvodnom inženjerstvu pod nazivom inteligentni tehnološki sistemi, ukazuje na pozitivan trend u pravcu ostvarivanja novih proizvodnih tehnologija u 21. veku. U vremenu kada je automatizacija proizvodnje gotovo dostigla svoj trenutni maksimum, tehnološka migracija od fleksibilnih ka inteligentnim tehnološkim sistemima i zadovoljavanje sve većih potreba globalnog tržišta ostvaruje se novim, multidisciplinarnim pristupom, baziranim na primeni naprednih biološki inspirisanih paradigmi 21. veka. Projektovanje tehnoloških procesa, terminiranje tehnoloških procesa, kao i terminiranje transportnih sredstava su među tri najvažnije funkcije inteligentnih tehnoloških sistema. Varijantnost u pogledu tehnoloških operacija obrade dela, kao i u pogledu alternativnih proizvodnih resursa (mašina alatki, alata, orijentacija alata), utiče na to da najveći broj delova u savremenim tehnološkim sistemima može imati više alternativnih tehnoloških procesa obrade. Iz tog razloga, određivanje optimalnih tehnoloških procesa obrade delova predstavlja jedan od najvažnijih ciljeva u ovoj naučnoj oblasti istraživanja. Kao i projektovanje tehnoloških procesa, terminiranje fleksibilnih tehnoloških procesa sa terminiranjem transportnih sredstava pripada klasi nedeterminističkih polinomnih problema, pa je stoga fokus istraživanja u okviru predmetne doktorske disertacije usmeren na razvoj biološki inspirisanih tehnika veštačke inteligencije u optimizaciji funkcija inteligentnih tehnoloških sistema, a u cilju povećanja njihove proizvodnosti, efikasnosti i ekonomičnosti... AB - At the beginning of the 21st century, a methodology that provides technological migration from flexible manufacturing systems to intelligent manufacturing systems is definitely based on biologically inspired methods. Process planning, scheduling and scheduling of internal transport systems (mobile robot) belong to most important functions of intelligent manufacturing systems. A variety of manufacturing operations together with a variety of alternative manufacturing resources (machine tools, cutting tools, tool access directions, etc.) provide that most jobs in the modern manufacturing systems may have a large number of alternative process plans. For that reason, obtaining an optimal process plan according to all alternative manufacturing resources as well as alternative operations has become a very important task in flexible process planning problem research. As process planning, scheduling function also belongs to NP hard (non deterministic polynomial problem) which means that time exponentially increases with the increase of alternative machine tools, tools and TADs. Therefore, development of biologically inspired algorithms for optimization of proposed functions is the main focus of research efforts in this thesis. The doctoral dissertation is related to the implementation of three methodologies for conceptual design of intelligent manufacturing systems: axiomatic design theory is used for conceptual design of material transport which includes transport of raw material, goods and parts; inventive principles of TRIZ methodology are used as effective tool to define, analyze and solve integration problems at the conceptual design phase and multi-agent methodology is used to facilitate integration of manufacturing functions. The doctoral dissertation is related to the development and experimental verification of 6 novel optimization algorithms for process planning: (i) genetic algorithms - GA algorithm (section 6.1), (ii) simulated annealing - SA (section 6.2), (iii) hybrid GA-SA (section 6.3), (iv) modified particle swarm optimization algorithm - mPSO (section 6.4), (v) chaotic particle swarm optimization algorithm - cPSO... PB - Univerzitet u Beogradu, Mašinski fakultet T1 - Veštačka inteligencija u projektovanju inteligentnih tehnoloških sistema T1 - Design of intelligent manufacturing systems by using artificial intelligence UR - https://hdl.handle.net/21.15107/rcub_nardus_6868 ER -
@phdthesis{ author = "Petrović, Milica", year = "2016", abstract = "Intenzivan razvoj krajem osamdesetih, tokom devedesetih godina 20. veka i posebno posle 2000. godina, a koji je definitivno uspostavio i novu oblast istraživanja u proizvodnom inženjerstvu pod nazivom inteligentni tehnološki sistemi, ukazuje na pozitivan trend u pravcu ostvarivanja novih proizvodnih tehnologija u 21. veku. U vremenu kada je automatizacija proizvodnje gotovo dostigla svoj trenutni maksimum, tehnološka migracija od fleksibilnih ka inteligentnim tehnološkim sistemima i zadovoljavanje sve većih potreba globalnog tržišta ostvaruje se novim, multidisciplinarnim pristupom, baziranim na primeni naprednih biološki inspirisanih paradigmi 21. veka. Projektovanje tehnoloških procesa, terminiranje tehnoloških procesa, kao i terminiranje transportnih sredstava su među tri najvažnije funkcije inteligentnih tehnoloških sistema. Varijantnost u pogledu tehnoloških operacija obrade dela, kao i u pogledu alternativnih proizvodnih resursa (mašina alatki, alata, orijentacija alata), utiče na to da najveći broj delova u savremenim tehnološkim sistemima može imati više alternativnih tehnoloških procesa obrade. Iz tog razloga, određivanje optimalnih tehnoloških procesa obrade delova predstavlja jedan od najvažnijih ciljeva u ovoj naučnoj oblasti istraživanja. Kao i projektovanje tehnoloških procesa, terminiranje fleksibilnih tehnoloških procesa sa terminiranjem transportnih sredstava pripada klasi nedeterminističkih polinomnih problema, pa je stoga fokus istraživanja u okviru predmetne doktorske disertacije usmeren na razvoj biološki inspirisanih tehnika veštačke inteligencije u optimizaciji funkcija inteligentnih tehnoloških sistema, a u cilju povećanja njihove proizvodnosti, efikasnosti i ekonomičnosti..., At the beginning of the 21st century, a methodology that provides technological migration from flexible manufacturing systems to intelligent manufacturing systems is definitely based on biologically inspired methods. Process planning, scheduling and scheduling of internal transport systems (mobile robot) belong to most important functions of intelligent manufacturing systems. A variety of manufacturing operations together with a variety of alternative manufacturing resources (machine tools, cutting tools, tool access directions, etc.) provide that most jobs in the modern manufacturing systems may have a large number of alternative process plans. For that reason, obtaining an optimal process plan according to all alternative manufacturing resources as well as alternative operations has become a very important task in flexible process planning problem research. As process planning, scheduling function also belongs to NP hard (non deterministic polynomial problem) which means that time exponentially increases with the increase of alternative machine tools, tools and TADs. Therefore, development of biologically inspired algorithms for optimization of proposed functions is the main focus of research efforts in this thesis. The doctoral dissertation is related to the implementation of three methodologies for conceptual design of intelligent manufacturing systems: axiomatic design theory is used for conceptual design of material transport which includes transport of raw material, goods and parts; inventive principles of TRIZ methodology are used as effective tool to define, analyze and solve integration problems at the conceptual design phase and multi-agent methodology is used to facilitate integration of manufacturing functions. The doctoral dissertation is related to the development and experimental verification of 6 novel optimization algorithms for process planning: (i) genetic algorithms - GA algorithm (section 6.1), (ii) simulated annealing - SA (section 6.2), (iii) hybrid GA-SA (section 6.3), (iv) modified particle swarm optimization algorithm - mPSO (section 6.4), (v) chaotic particle swarm optimization algorithm - cPSO...", publisher = "Univerzitet u Beogradu, Mašinski fakultet", title = "Veštačka inteligencija u projektovanju inteligentnih tehnoloških sistema, Design of intelligent manufacturing systems by using artificial intelligence", url = "https://hdl.handle.net/21.15107/rcub_nardus_6868" }
Petrović, M.. (2016). Veštačka inteligencija u projektovanju inteligentnih tehnoloških sistema. Univerzitet u Beogradu, Mašinski fakultet.. https://hdl.handle.net/21.15107/rcub_nardus_6868
Petrović M. Veštačka inteligencija u projektovanju inteligentnih tehnoloških sistema. 2016;. https://hdl.handle.net/21.15107/rcub_nardus_6868 .
Petrović, Milica, "Veštačka inteligencija u projektovanju inteligentnih tehnoloških sistema" (2016), https://hdl.handle.net/21.15107/rcub_nardus_6868 .