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http://bura.brunel.ac.uk/handle/2438/25083
Title: | Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing |
Authors: | Psarommatis, F Danishvar, M Mousavi, A Kiritsis, D |
Keywords: | cost functions;hard metal;microelectronics;optimization;process planning;sustainable manufacturing;zero defect manufacturing (ZDM) |
Issue Date: | 7-Jan-2022 |
Publisher: | IEEE |
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. |
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. |
URI: | https://bura.brunel.ac.uk/handle/2438/25083 |
DOI: | https://doi.org/10.1109/TEM.2021.3133619 |
ISSN: | 0018-9391 |
Other Identifiers: | ORCID iD: Foivos Psarommatis https://orcid.org/0000-0002-2731-8727 ORCID iD: Morad Danishvar https://orcid.org/0000-0002-7939-9098 ORCID iD: Alireza Mousavi https://orcid.org/0000-0003-0360-2712 ORCID iD: Dimitris Kiritsis https://orcid.org/0000-0003-3660-9187 |
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 |
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