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Factory optima: a web-based system for composition and analysis of manufacturing service networks based on a reusable model repository.
Brodsky, Alexander; Nachawati, Mohamad Omar; Krishnamoorthy, Mohan; Bernstein, William Z; Menascé, Daniel A.
Afiliação
  • Brodsky A; Department of Computer Science, George Mason University, Fairfax, VA, USA.
  • Nachawati MO; Department of Computer Science, George Mason University, Fairfax, VA, USA.
  • Krishnamoorthy M; Department of Computer Science, George Mason University, Fairfax, VA, USA.
  • Bernstein WZ; Systems Integration Division, NIST, Gaithersburg, MD, USA.
  • Menascé DA; Department of Computer Science, George Mason University, Fairfax, VA, USA.
Article em En | MEDLINE | ID: mdl-31274963
ABSTRACT
This paper reports on the development of Factory Optima, a web-based system that allows manufacturing process engineers to compose, optimise and perform trade-off analysis of manufacturing and contract service networks based on a reusable repository of performance models. Performance models formally describe process feasibility constraints and metrics of interest, such as cost, throughput and CO 2 emissions, as a function of fixed and control parameters, such as equipment and contract properties and settings. The repository contains performance models representing (1) unit manufacturing processes, (2) base contract services and (3) a composite steady-state service network. The proposed framework allows process engineers to hierarchically compose model instances of service networks, which can represent production cells, lines, factory facilities and supply chains, and perform deterministic optimisation based on mathematical programming and Pareto-optimal trade-off analysis. Factory Optima is demonstrated using a case study of a service network for a heat sink product which involves contract vendors and manufacturing activities, including cutting, shearing, Computer Numerical Control (CNC) machining with milling and drilling operations, quality inspection, finishing, and assembly.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Comput Integr Manuf Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Comput Integr Manuf Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos