Park, JH Seo, KK 2024-01-21T06:33:28Z 2024-01-21T06:33:28Z 2021-09-05 2004-09 0954-4054 https://pubs.kist.re.kr/handle/201004/137273 Life cycle concerns have been considered as a major issue of increasing importance. Recently, companies have realized that both environmental and economic aspects have become a more competitive issue. This environmental and economic performance of a product includes all life cycle phases, from raw material extraction to end-of-life treatment. Life-cycle cost (LCC) has been considered to enable a comprehensive cost analysis to be carried out to improve economic performance, but this method is usually time and cost consuming. Therefore, there is a need for easy-to-use and approximate methods to support cost-effective decision making in early product development. In order to incorporate LCC into early product development, an approximate method for the estimation of maintenance cost as one component of LCC is proposed. This method allows the designer to make a comparative estimation of maintenance cost for design alternatives by considering high-level product attributes and the maintenance cost during the life cycle of products. To estimate the maintenance cost, the identified product attributes are used as inputs and the calculated maintenance cost is used as outputs in a learning algorithm based on artificial neural networks. The proposed approach does not replace the detailed cost estimation but it would give some cost-effective guidelines of products during the life cycle and create possibly new maintenance concepts. English SAGE PUBLICATIONS LTD DESIGN Incorporating life-cycle cost into early product development Article 10.1243/0954405041897176 1 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, v.218, no.9, pp.1059 - 1066 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE 218 9 1059 1066 scie scopus 000224573000004 2-s2.0-6344277426 Engineering, Manufacturing Engineering, Mechanical Engineering Article DESIGN maintenance cost product attribute multiple regression analysis artificial neural networks