Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "design optimisation" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Facility layout design – review of current research directions
Autorzy:
Kikolski, M.
Ko, Ch.-H.
Powiązania:
https://bibliotekanauki.pl/articles/125595.pdf
Data publikacji:
2018
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
facility layout
production line design
production optimisation
workplace planning
układ obiektu
projekt linii produkcyjnej
optymalizacja produkcji
planowanie miejsca pracy
Opis:
The article discusses the topic of designing the optimal distribution of workstations within a production plant. A review focused on publications on this subject in the Scopus database, covering the years 1975–2017. The article presents a facility layout problem and basic principles of optimisation methods for the distribution of workstations within the factory. The author proposes a methodology for designing the optimal distribution of workstations using available optimisation methods and computer simulation. Also, directions for further research are indicated.
Źródło:
Engineering Management in Production and Services; 2018, 10, 3; 70-79
2543-6597
2543-912X
Pojawia się w:
Engineering Management in Production and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Oilfield development and operations planning under geophysical uncertainty
Autorzy:
Redutskiy, Y.
Powiązania:
https://bibliotekanauki.pl/articles/125572.pdf
Data publikacji:
2017
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
development and production planning
electrical submersible pump
multi-stage stochastic programming
oilfield infrastructure design
oilfield operations optimisation
strategic planning
planowanie produkcji
zatapialna pompa elektryczna
wielostopniowe programowanie stochastyczne
projektowanie infrastruktury naftowej
optymalizacja operacji naftowych
planowanie strategiczne
Opis:
The oil and gas industry nowadays is challenged by dealing with nonconventional reserves and offshore environments. Decision-making associated with projects in the petroleum sector has to handle various technological issues, risks, and uncertainty. The Smart Fields approach was introduced to cope with complicated production conditions and make the production of hydrocarbons economically efficient. A significant part of this approach is proactive planning which implies taking into account the uncertainty, or lack of knowledge of the recoverable reserves, future hydrocarbon prices and various operational issues inherent in the projects. In this study, a multi-stage stochastic programming approach is employed to cover the relevant engineering issues of oilfield development and petroleum production while addressing the geophysical uncertainty related to the developed deposit. The proposed model covers such aspects as well drilling, gathering pipeline infrastructure planning, capacity selection for the infrastructure and the processing units, as well as planning the production operations with consideration of artificial lift efficiency. The model aims to optimise the entire field lifecycle, given the chosen planning criterion, that is an economic criterion of the project’s net present value. The contribution of the developed model to the area of planning in the petroleum industry is the detailed consideration of the technology: the flows and pressures in the planned infrastructure, reservoir behaviour, and the artificial lift performance. The goal of including these technological details is to apprehend the economic tradeoff between investments, operating costs and the prospective revenues, given the lack of knowledge of the geophysical properties of the developed deposit. The stochastic modelling implemented in this study is relevant to the development projects in nonconventional environments, where several deposits of various sizes are present; however, not each deposit's properties get to be studied in detail.
Źródło:
Engineering Management in Production and Services; 2017, 9, 3; 10-27
2543-6597
2543-912X
Pojawia się w:
Engineering Management in Production and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies