.png){kind=icon}
.png){kind=icon}
Return
Estimating the economic feasibility of additive manufacturing: a systematic literature review
.png){kind=icon}
PRE
AI
A
DOI：10.1108/rpj-08-2024-0340.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
<jats:sec>
<jats:title>Purpose</jats:title>
<jats:p>The purpose of this systematic literature review paper on cost estimation and modeling in the context (AM) is to explore the scope and extent of solutions and conclusions presented in the research literature to support economic decision-making related to AM.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Design/methodology/approach</jats:title>
<jats:p>Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) 2020 guideline for systematic literature reviews, this study categorizes existing studies based on the decision situations addressed and identifies key themes and issues related to cost estimation and modeling.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Findings</jats:title>
<jats:p>The analysis of 255 studies reveals that literature provides a wide range of reviews and models to support strategic, tactical and operational decision-making related to AM application. Advanced models and tools have been developed for optimizing the AM-based value chain, including product design, production planning and supply chain management. However, as the economically feasible application areas of AM appear limited, it restricts the practical applicability of many of the complex optimization models.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Originality/value</jats:title>
<jats:p>This review analyzes the applicability of existing research in supporting strategic, tactical and operational planning concerning the economical use of AM and synthesizes the conclusions of previous studies regarding the economic feasibility of AM.</jats:p>
</jats:sec>
Journal
IF:
3.6
Papers:
2.2K
Citations:
7.7K
Organization
Cited Papers