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DC Field | Value | Language |
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dc.contributor.author | Psarommatis, F | - |
dc.contributor.author | Danishvar, M | - |
dc.contributor.author | Mousavi, A | - |
dc.contributor.author | Kiritsis, D | - |
dc.date.accessioned | 2022-08-15T15:46:43Z | - |
dc.date.available | 2022-08-15T15:46:43Z | - |
dc.date.issued | 2022-01-07 | - |
dc.identifier | ORCID iD: Foivos Psarommatis https://orcid.org/0000-0002-2731-8727 | - |
dc.identifier | ORCID iD: Morad Danishvar https://orcid.org/0000-0002-7939-9098 | - |
dc.identifier | ORCID iD: Alireza Mousavi https://orcid.org/0000-0003-0360-2712 | - |
dc.identifier | ORCID iD: Dimitris Kiritsis https://orcid.org/0000-0003-3660-9187 | - |
dc.identifier.citation | Psarommatis, F. et al. (2024) 'Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing', IEEE Transactions on Engineering Management, 71, pp. 702 - 714. doi: 10.1109/TEM.2021.3133619. | en_US |
dc.identifier.issn | 0018-9391 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/25083 | - |
dc.description.abstract | © Copyright The Authors 2022. An attempt is made to translate five generic key performance indicators (KPIs) into a continuous real-time cost function in a batch order-based manufacturing environment. The challenge of controlling and optimizing resource utilization, production efficiency, product-process quality, environmental impact, and inventory was specified by microelectronics and hard metal composite manufacturers. The motivation is to facilitate decision-making by converting operations management data into dynamic financial cost models. The process of interpreting engineering data of the physical level and operations management level into financial metrics creates a common language between engineers, managers, and financial departments of the company whose common objective is the profitability of the company, each with their own priorities. The proposed method provides a realistic representation of the performance of the system in monetary value. The integration may become an instrument of effective and efficient tactical and strategic collective decision-making. The main outcome is a near real-time formulation and prediction of manufacturing cost with respect to the five KPIs. The resultant cost function is verified according to several production scenarios. The case study demonstrating the proposed cost modeling methodology utilizes real-time and historical information from two different industrial partners in Tungsten metallurgy and electronic circuit manufacturing industries. | en_US |
dc.description.sponsorship | Z-Fact0r and Eur3ka; European Unions Horizon 2020 Research and Innovation Programme (Grant Number: 723906 101016175). | en_US |
dc.format.extent | 702 - 714 | - |
dc.format.extent | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE | en_US |
dc.rights | Copyright © 2022 The Author(s). Published by IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | cost functions | en_US |
dc.subject | hard metal | en_US |
dc.subject | microelectronics | en_US |
dc.subject | optimization | en_US |
dc.subject | process planning | en_US |
dc.subject | sustainable manufacturing | en_US |
dc.subject | zero defect manufacturing (ZDM) | en_US |
dc.title | Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/TEM.2021.3133619 | - |
dc.relation.isPartOf | IEEE Transactions on Engineering Management | - |
pubs.publication-status | Published | - |
pubs.volume | 71 | - |
dc.identifier.eissn | 1558-0040 | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers Dept of Civil and Environmental Engineering Research Papers |
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FullText.pdf | Copyright © 2022 The Author(s). Published by IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ | 3.96 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License