Decision-making frameworks in additive manufacturing management: mapping present landscape and establishing future research avenues

Abstract

Purpose

The study aims to explore the available academic literature on the decision-making frameworks used in additive manufacturing management (AMM).

Design/methodology/approach

This research formulates a systematic literature review to determine the research trend of the decision-making framework in AMM. Further, the theory, context, characteristics, and methodology (TCCM) framework is used to identify the research gaps and suggest future research directions.

Findings

The systematic literature review (SLR) delves into overarching research themes within decision-making frameworks in AMM. Additionally, it uncovers trends in article publication, geographical distribution, methodologies utilized, and industry applications. This review not only reveals research gaps but also proposes directions for future exploration.

Originality/value

The key novelty of this research lies in revealing the five most contributing themes of decision-making frameworks in AMM, with the highest contributing theme being AM process selection, followed by part selection for AM. This finding enables decision-makers to make informed decisions to address similar problems while exploring AM technology. Moreover, this research introduces an AM part fabrication roadmap inspired by the literature review. Lastly, the paper highlights key research gaps for future research.

Citation

Ghuge, S., Akarte, M. and Raut, R. (2024), "Decision-making frameworks in additive manufacturing management: mapping present landscape and establishing future research avenues", Benchmarking: An International Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BIJ-12-2023-0845