Abstract
This paper deals with technological and operational aspects of manufacturing process planning for multiple values of decision parameters. A discrete parametric model is proposed to generate multiple process plans for a given or proposed production system. The model is based on generating graphs for possible manufacturing process operations and production system capabilities. An automated platform-based system is built around this model to generate and analyze multiple manufacturing process plans based on the chosen priority criteria. The analyses are based on estimating distances in constructed graphs and several sets of priorities for final assembly production systems as well as parts suppliers. Both manufacturing process selection and production systems architecture used in this model are specifically adapted for the aerospace industry.
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References
Law AM, McComas MG (1991) Secrets of successful simulation studies. Institute of Electrical and Electronics Engineers (IEEE)
Dorf RC, Kusiak A (Eds.) (1994) Handbook of design, manufacturing and automation. Wiley-Interscience. https://doi.org/10.1007/s00170-021-07144-w
Radhakrishnan P, Subramanyan S, Raju V (2008) Cad/Cam/Cim. New Age International, New Age International
Caridi M, Sianesi A (2000) Multi agent systems for production planning and control in supply chains. Int J Prod Econ 68(1):29–42
Grigoriev SN, Kutin AA, Turkin MV (2013) Modelling complex production processes in aerospace industry based on dimensional analysis. Procedia CIRP 7:473–478
ElMaraghy WH, Urbanic RJ (2003) Modelling of manufacturing systems complexity. CIRP Ann 52:363–366
Law AM, McComas MG (1997) Simulation of manufacturing systems. Proceedings of the 1997 Winter Simulation Conference, Tucson, Arizona, USA, pp 86–89
Turkin MV (2017) Impact of digital technologies on preproduction planning in aviation industry. Aviat Ind 1:47–48
Kutin AA, Turkin MV (2013) Modelling and design of closed-loop manufacturing systems. Appl Mech Mater 378:367–374
Beker I, Jevtic V, Dobrilivic D (2012) Shortest-path algorithms as a tools for inner transportation optimization. Int J Ind Eng Manag 3:39–45
Funding
This research was made under financial support of Russian Ministry of education and science, project task N9.2731.2017/4.6.
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Andrey Kutin: conceptualization, methodology, investigation, formal analysis, writing—original draft, writing—review and editing, visualization, supervision. Mikhail Turkin: writing—original draft, writing—review and editing. Mikhail Kliuev: writing—review and editing.
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Kutin, A., Turkin, M. & Kliuev, M. Multivariate manufacturing process planning for aircraft airframe production based on weighted criteria analysis. Int J Adv Manuf Technol 117, 2263–2268 (2021). https://doi.org/10.1007/s00170-021-07144-w
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DOI: https://doi.org/10.1007/s00170-021-07144-w