Key features and novel trends for developing cost engineering methods for forged components: a systematic literature review

Abstract

Engineering design shows a growing interest in exploring cost analysis to anticipate manufacturing issues and integrate production aspects within the product development process. This research aims to highlight key elements (inputs, parameters, models) to accurately predict the cost of a forged part using a complete model, with important information that can be available during the design phase. For this purpose, a systematic literature review of existing engineering methodologies developed for cost analysis of forged parts (i.e., cost estimation, DtC, and ABC) was performed with characterizations of the different approaches for evaluating the most important topics related to this objective. As a result, the most important insights related to the aim of this review are provided: (i) among quantitative methods, analytical and parametric models are the most suitable approaches to develop a cost estimation, (ii) a cost model based on a linear equation supported by single or multiple variables seems to be the most accurate tool to establish a robust cost analysis in the design of forged components, and (iii) input parameters related to the material type and geometrical features are the most critical cost-drivers in the cost assessment. Moreover, this review contributes to identifying emerging applications and obsolete topics, providing the ground to investigate unexplored areas relevant to future research.

[Retracted] Data Analysis and Processing Application of Deep Learning in Engineering Cost Teaching Evaluation

“…Each evaluator will record the observed contents in detail according to each element of the index system and rate each index throughout the assessment process. e real scores of each index element are totaled by SPSS 21.0 when the evaluation is completed, the scores of each evaluator are sorted out, and the findings are eventually summarized [15].…”