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Original Articles

Factory optima: a web-based system for composition and analysis of manufacturing service networks based on a reusable model repository

ORCID Icon, , , & ORCID Icon
Pages 206-224
Received 03 Jul 2018
Accepted 14 Dec 2018
Published online: 06 Feb 2019

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 CO2 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.

Acknowledgement

This effort has been sponsored in part under the Cooperative Agreement No.70NANB12H277 between NIST and George Mason University. The work described was funded by the US Government and is not subject to copyright.

Disclosure statement

No potential conflict of interest was reported by the authors.

Disclaimer

No approval or endorsement of any commercial product by NIST is intended or implied. Certain commercial equipment, instruments or materials are identified in this report to facilitate better understanding. Such identification does not imply recommendations or endorsement by NIST nor does it imply the materials or equipment identified are necessarily the best available for the purpose.

Additional information

Funding

This work was supported by the National Institute of Standards and Technology [Cooperative Agreement No. 70NANB12H277].

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