Abstract
Although the applications of additive manufacturing are continuously increasing, but unless used judiciously, it cannot compete with traditional manufacturing processes. This article presents an analytical method for assessing the utility of additive manufacturing. For this, the concept of utilization factor is introduced and its effect on the production planning and associated costs is discussed. The uncertainty in the estimation of utilization factor and costs is addressed by the fuzzy set-based theory. For applying fuzzy arithmetic, linear triangular fuzzy numbers are used based on expert’s most likely, lower and upper estimates. Consideration of uncertainty with the help of fuzzy arithmetic provides a better picture for management to take decision. Further, a fuzzy set-based technique has been employed to compare an additive manufacturing process viz., selective laser sintering (SLS) with another process viz., injection moulding. The overall methodology is illustrated through case studies. It is demonstrated that even for SLS process, the unit cost of a part decreases with the quantities of production, which is reflected in the enhancement of the utilization factor. However, for very high volume of production, the SLS process cannot compete with injection moulding in terms of cost as well as production time.
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References
C. Weller, R. Kleer, F.T. Piller, Economic implications of 3D printing: market structure models in light of additive manufacturing revisited. Int. J. Prod. Econ. 164, 43–56 (2015)
M. Attaran, The rise of 3-D printing: the advantages of additive manufacturing over traditional manufacturing. Bus. Horiz. 60(5), 677–688 (2017)
N.N. Kumbhar, A.V. Mulay, Post processing methods used to improve surface finish of products which are manufactured by additive manufacturing technologies: a review. J. Inst. Eng. India Ser. C 99(4), 481–487 (2018)
H.H. Nadiyapara, S. Pande, a review of variable slicing in fused deposition modeling. J. Inst. Eng. India Ser. C 98(3), 387–393 (2017)
K.S. Chin, Implementation of rapid Prototyping technology—a Hong Kong manufacturing industry’s perspective. Int. J. Adv. Manuf. Technol. 14(8), 570–579 (1998)
S. Mellor, L. Hao, D. Zhang, Additive manufacturing: a framework for implementation. Int. J. Prod. Econ. 149, 194–201 (2014)
D.G. Schniederjans, Adoption of 3D-printing technologies in manufacturing: a survey analysis. Int. J. Prod. Econ. 183, 287–298 (2017)
C.C. Yeh, Y.F. Chen, Critical success factors for adoption of 3D printing. Technol. Forecast. Soc. Change 32, 209–216 (2018)
M.K. Niaki, S.A. Torabi, F. Nonino, Why manufacturers adopt additive manufacturing technologies: the role of sustainability. J. Clean. Prod. 222, 381–392 (2019)
L. Yi, C. Gläßner, J.C. Aurich, How to integrate additive manufacturing technologies into manufacturing systems successfully: a perspective from the commercial vehicle industry. J. Manuf. Syst. 53, 195–211 (2019)
C. Achillas, D. Aidonis, E. Iakovou, M. Thymianidis, D. Tzetzis, A methodological framework for the inclusion of modern additive manufacturing into the production portfolio of a focused factory. J. Manuf. Syst. 37, 328–339 (2015)
J.K. Watson, K.M.B. Taminger, A decision-support model for selecting additive manufacturing versus subtractive manufacturing based on energy consumption. J. Clean. Prod. 176, 1316–1322 (2018)
M. Fera, R. Macchiaroli, F. Fruggiero, A. Lambiase, A new perspective for production process analysis using additive manufacturing—complexity vs production volume. Int. J. Adv. Manuf. Technol. 95, 673–685 (2018)
A.J. De Ron, J.E. Rooda, OEE and equipment effectiveness: an evaluation. Int. J. Prod. Res. 44(23), 4987–5003 (2006)
J. Kumar, V.K. Soni, An exploratory study of OEE implementation in Indian manufacturing companies. J. Inst. Eng. India Ser. C 96(2), 205–214 (2015)
N. Hopkinson, P. Dicknes, Analysis of rapid manufacturing—using layer manufacturing processes for production. Proc. Inst. Mech. Eng Part C J. Mech. Eng. Sci. 217(1), 31–39 (2003)
M. Ruffo, C. Tuck, R. Hague, Cost estimation for rapid manufacturing—laser sintering production for low to medium volumes. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 220(9), 1417–1427 (2006)
M. Ruffo, R. Hague, Cost estimation for rapid manufacturing - simultaneous production of mixed components using laser sintering. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 221(11), 1585–1591 (2007)
E. Atzeni, A. Salmi, Economics of additive manufacturing for end-usable metal parts. Int. J. Adv. Manuf. Technol. 62, 1147–1155 (2012)
M. Baumers, P. Dickens, C. Tuck, R. Hague, The cost of additive manufacturing: machine productivity, economies of scale and technology-push. Technol. Forecast. Soc. Change 102, 193–201 (2016)
D. Thomas, Costs, benefits, and adoption of additive manufacturing: a supply chain perspective. Int. J. Adv. Manuf. Technol. 85, 1857–1876 (2016)
M. Baumers, L. Beltrametti, A. Gasparre, R. Hague, Informing additive manufacturing technology adoption: total cost and the impact of capacity utilisation. Int. J. Prod. Res. 55(23), 6957–6970 (2017)
Y. Li, B.S. Linke, H. Voet, B. Falk, R. Schmitt, M. Lam, Cost, sustainability and surface roughness quality—a comprehensive analysis of products made with personal 3D printers. CIRP J. Manuf. Sci. Technol. 16, 1–11 (2017)
F. Sharma, U.S. Dixit, Fuzzy set based cost model of additive manufacturing with specific example of selective laser sintering. J. Mech. Sci. Technol. 33(9), 4439–4449 (2019)
M. Fera, F. Fruggiero, G. Costabile, A. Lambiase, D.T. Pham, A new mixed production cost allocation model for additive manufacturing (MiProCAMAM). Int. J. Adv. Manuf. Technol. 92, 4275–4291 (2017)
E.S. Buffa, R.K. Sarin, Modern Production/Operations Management, 8th edn. (Wiley, Singapore, 2007)
P.M. Dixit, U.S. Dixit, Modeling of metal forming and machining processes: by finite element and soft computing methods (Springer, London, 2008)
W. Dong, H.C. Shah, Vertex method for computing functions of fuzzy variables. Fuzzy Set Syst. 24(1), 65–78 (1987)
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Sharma, F., Dixit, U.S. An Analytical Method for Assessing the Utility of Additive Manufacturing in an Organization. J. Inst. Eng. India Ser. C 102, 41–50 (2021). https://doi.org/10.1007/s40032-020-00624-0
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DOI: https://doi.org/10.1007/s40032-020-00624-0