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Additive Manufacturing Decision Support Systems : A Systematic Literature Review Discerning Current and Future Directions

Rai, Chinthan (författare)
Lund University
Bhanuprakash, Shashank (författare)
Lund University
Kianian, Babak (författare)
Lund University,Lunds universitet,Industriell Produktion,Institutionen för maskinvetenskaper,Institutioner vid LTH,Lunds Tekniska Högskola,Production and Materials Engineering,Department of Mechanical Engineering Sciences,Departments at LTH,Faculty of Engineering, LTH
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Ståhl, Jan Eric (författare)
Lund University,Lunds universitet,NanoLund: Centre for Nanoscience,Annan verksamhet, LTH,Lunds Tekniska Högskola,Industriell Produktion,Institutionen för maskinvetenskaper,Institutioner vid LTH,Other operations, LTH,Faculty of Engineering, LTH,Production and Materials Engineering,Department of Mechanical Engineering Sciences,Departments at LTH,Faculty of Engineering, LTH
Ng, Amos H.C. (redaktör/utgivare)
Syberfeldt, Anna (redaktör/utgivare)
Hogberg, Dan (redaktör/utgivare)
Holm, Magnus (redaktör/utgivare)
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 (creator_code:org_t)
2022
2022
Engelska 13 s.
Ingår i: SPS 2022 - Proceedings of the 10th Swedish Production Symposium. - 2352-7528 .- 2352-751X. - 9781614994398 ; 21, s. 553-565
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • Additive manufacturing (AM) was introduced the 1980's for rapid prototyping (RP) purposes but now AM provides complementary techniques to conventional manufacturing processes and offers advantages when components can be exacting, impossible, and too costly to be produced by conventional methods due to complex structures and geometric configurations, which require tailored designs. They are also often mass-customized components, with custom-made properties and low volume production requirements making AM the 'technology of choice' since its added-value aspects cannot be achieved by any other manufacturing technologies. These advancements in manufacturing, demand standardized fact-based decision support systems (DSSs), to support AM practitioners in their task selecting the most suitable techniques for given applications. Hence, this paper aims to increase the understanding of what - of how - DSSs are used in selecting and utilizing AM in various applications. This paper's core message, considering practical implications, is to guide and support AM researchers with an overview of the DSSs for AM landscape. This paper presents and compares different models and tools classified within four categories used as DSS for AM and identifies their advantages and disadvantages by conducting a 3-step systematic literature review (SLR). A total of 388 literatures were initially retrieved, and according to an inclusion criteria analysis, the literatures were evaluated. This is the first SLR emphasizing and synthesizing obtainable literatures on AM DSS. Until now, this topic has acquired narrow exploration; however, the authors believe it is of rapidly growing importance to both scientists and practitioners.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)

Nyckelord

3D Printing (3DP)
Additive Manufacturing (AM)
Decision Support System (DSS)
Decision-Making Tools
Systematic Literature Review (SLR)

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