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Wyświetlanie 1-2 z 2
Tytuł:
A Distributed Decision-Support System for Virtual Prototyping
Autorzy:
Tirpak, T. M.
Lach, L. E.
Xiao, W.
Lopez, J. M.
Powiązania:
https://bibliotekanauki.pl/articles/375959.pdf
Data publikacji:
2007
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
Distributed Decision-Support
virtual prototyping
CAE
Opis:
Virtual Prototyping (VP) is a data-driven design process that promotes both knowledge reuse and innovation. High-profile applications in the automotive and aerospace industries have demonstrated its potential to significantly reduce prototype cycles, time to market, and total product cost. This paper addresses VP as a specialized application of Decision-Support Systems, and discusses common requirements for engineering design tools, as well as requirements specific to the design of electronic products, such as mobile phones. Motorola Labs' test bed for VP is introduced in terms of its open, agent-based architecture utilizing Java CORBA. One of the key principles of the VP System is the reuse of expert knowledge across multiple engineering domains. This is highlighted via several use cases, showing that the system can function not only as an Intranet-accessible repository of model services but also as an integral part of decision-making within the native CAD environment.
Źródło:
Decision Making in Manufacturing and Services; 2007, 1, 1-2; 137-152
1896-8325
2300-7087
Pojawia się w:
Decision Making in Manufacturing and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Developing and deploying electronics assembly line optimization tools: a Motorola case study
Autorzy:
Tirpak, T. M.
Powiązania:
https://bibliotekanauki.pl/articles/375906.pdf
Data publikacji:
2008
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
electronics assembly
line balancing
linear-integer programming
industrial case study
Opis:
The assignment of workloads to production equipment is one category of planning decision for an electronics assembly factory. In practice, line balancing requires not only selecting machines with sufficient placement accuracy and feeder capacity, but also addressing a host of other operational objectives and constraints. Motorola Labs led a multi-year effort to apply mathematical programming to balance a variety of production mix and volume scenarios. By representing the optimization problem as a specially structured, mixed linear-integer program, we were able to incorporate a high degree of reality in the model, simultaneously optimizing fixed setups, handling custom parts, maximizing machine uptime, and mitigating secondary bottlenecks. This paper presents the story of how we developed and deployed a software solution that significantly improved assembly cycle times, setup changeovers, and overall factory productivity, saving the company tens of millions of dollars.
Źródło:
Decision Making in Manufacturing and Services; 2008, 2, 1-2; 63-78
1896-8325
2300-7087
Pojawia się w:
Decision Making in Manufacturing and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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