Towards Quantitative Factory Life Cycle Evaluation

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

Towards Quantitative Factory Life Cycle Evaluation. / Nielsen, Lars; Schmidt, Christopher; Blume, Stefan et al.
in: Procedia CIRP, Jahrgang 55, 12.2016, S. 266-271.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

Nielsen, L, Schmidt, C, Blume, S, Schmidt, M, Thiede, S, Nyhuis, P & Herrmann, C 2016, 'Towards Quantitative Factory Life Cycle Evaluation', Procedia CIRP, Jg. 55, S. 266-271. https://doi.org/10.1016/j.procir.2016.08.009

APA

Nielsen, L., Schmidt, C., Blume, S., Schmidt, M., Thiede, S., Nyhuis, P., & Herrmann, C. (2016). Towards Quantitative Factory Life Cycle Evaluation. Procedia CIRP, 55, 266-271. https://doi.org/10.1016/j.procir.2016.08.009

Vancouver

Nielsen L, Schmidt C, Blume S, Schmidt M, Thiede S, Nyhuis P et al. Towards Quantitative Factory Life Cycle Evaluation. Procedia CIRP. 2016 Dez;55:266-271. doi: 10.1016/j.procir.2016.08.009

Bibtex

@article{55a5b634c0ce4e599bd42900f938461c,
title = "Towards Quantitative Factory Life Cycle Evaluation",
abstract = "Manufacturing companies face the challenge of understanding and improving complex factory systems in order to stay competitive in a turbulent environment. Interrelated and overlapping life cycles of products and physical factory elements (e.g. machine tools, technical building services, building shell) are challenges to be handled in factory planning and operation. This work discusses both qualitative and quantitative factory life cycle models, analyzing addressed sustainability goals. Due to the lack of quantitative life cycle description models on higher system levels, a concept for aggregating life cycle models from shop floor up to site level is developed. The concept is consequently applied in a case study where cost curves are calculated over the factory's life span and are aggregated to support factory planning and operation.",
keywords = "Factory Life Cycle, Factory Planning, Life Cycle Evaluation, Life Cycle Prediction, Engineering",
author = "Lars Nielsen and Christopher Schmidt and Stefan Blume and Matthias Schmidt and Sebastian Thiede and Peter Nyhuis and Christoph Herrmann",
note = "Funding Information: A production site can consist of different locally interdependent factories. Research in the area of life cycle evaluation on site level was funded by the European Commission in the Pathfinder project. In the course of this research project, models describing the life cycles of single factories and interactions with their environment and infrastructure were developed. The considered goals of these models involve the economic, ecological and social dimension. Results of this project are a “Pathfinder Vision and Roadmap”, which contains the qualitative description of potentials that could arise from a comprehensive factory life cycle evaluation [13]. Publisher Copyright: {\textcopyright} 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.",
year = "2016",
month = dec,
doi = "10.1016/j.procir.2016.08.009",
language = "English",
volume = "55",
pages = "266--271",
journal = "Procedia CIRP",
issn = "2212-8271",
publisher = "Elsevier B.V.",

}

RIS

TY - JOUR

T1 - Towards Quantitative Factory Life Cycle Evaluation

AU - Nielsen, Lars

AU - Schmidt, Christopher

AU - Blume, Stefan

AU - Schmidt, Matthias

AU - Thiede, Sebastian

AU - Nyhuis, Peter

AU - Herrmann, Christoph

N1 - Funding Information: A production site can consist of different locally interdependent factories. Research in the area of life cycle evaluation on site level was funded by the European Commission in the Pathfinder project. In the course of this research project, models describing the life cycles of single factories and interactions with their environment and infrastructure were developed. The considered goals of these models involve the economic, ecological and social dimension. Results of this project are a “Pathfinder Vision and Roadmap”, which contains the qualitative description of potentials that could arise from a comprehensive factory life cycle evaluation [13]. Publisher Copyright: © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

PY - 2016/12

Y1 - 2016/12

N2 - Manufacturing companies face the challenge of understanding and improving complex factory systems in order to stay competitive in a turbulent environment. Interrelated and overlapping life cycles of products and physical factory elements (e.g. machine tools, technical building services, building shell) are challenges to be handled in factory planning and operation. This work discusses both qualitative and quantitative factory life cycle models, analyzing addressed sustainability goals. Due to the lack of quantitative life cycle description models on higher system levels, a concept for aggregating life cycle models from shop floor up to site level is developed. The concept is consequently applied in a case study where cost curves are calculated over the factory's life span and are aggregated to support factory planning and operation.

AB - Manufacturing companies face the challenge of understanding and improving complex factory systems in order to stay competitive in a turbulent environment. Interrelated and overlapping life cycles of products and physical factory elements (e.g. machine tools, technical building services, building shell) are challenges to be handled in factory planning and operation. This work discusses both qualitative and quantitative factory life cycle models, analyzing addressed sustainability goals. Due to the lack of quantitative life cycle description models on higher system levels, a concept for aggregating life cycle models from shop floor up to site level is developed. The concept is consequently applied in a case study where cost curves are calculated over the factory's life span and are aggregated to support factory planning and operation.

KW - Factory Life Cycle

KW - Factory Planning

KW - Life Cycle Evaluation

KW - Life Cycle Prediction

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=84999029623&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2016.08.009

DO - 10.1016/j.procir.2016.08.009

M3 - Journal articles

AN - SCOPUS:84999029623

VL - 55

SP - 266

EP - 271

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

ER -

DOI