Evaluating 3D Printers Using Data Envelopment Analysis
2021, Applied Sciences
https://doi.org/10.3390/APP11094209Abstract
Data Envelopment Analysis (DEA) is an established powerful mathematical programming technique, which has been employed quite extensively for assessing the efficiency/performance of various physical or virtual and simple or complex production systems, as well as of consumer and industrial products and technologies. The purpose of the present study is to investigate whether DEA may be employed for evaluating the technical efficiency/performance of 3D printers, an advanced manufacturing technology of increasing importance for the manufacturing sector. For this purpose, a representative sample of 3D printers based on Fused Deposition Modeling technology is examined. The technical factors/parameters of 3D printers, which are incorporated in the DEA, are investigated and discussed in detail. DEA evaluation results compare favorably with relevant benchmarks from experts, indicating that the suggested DEA technique in conjunction with technical and expert evaluation could be employed for ev...
References (63)
- Conner, B.P.; Manogharan, G.P.; Martof, A.N.; Rodomsky, L.M.; Rodomsky, C.M.; Jordan, D.C.; Limperos, J.W. Making sense of 3-D printing: Creating a map of additive manufacturing products and services. Addit. Manuf. 2014, 1, 64-76. [CrossRef]
- Weller, C.; Kleer, R.; Piller, F.T. Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited. Int. J. Prod. Econ. 2015, 164, 43-56. [CrossRef]
- Fontana, F.; Klahn, C.; Meboldt, M. Value-driven clustering of industrial additive manufacturing applications. J. Manuf. Technol. Manag. 2019, 30, 366-390. [CrossRef]
- Söderberg, J. How open hardware drives digital fabrication tools such as the 3D printer. Internet Policy Rev. 2013, 2. [CrossRef]
- Steenhuis, H.-J.; Pretorius, L. Consumer additive manufacturing or 3D printing adoption: An exploratory study. J. Manuf. Technol. Manag. 2016, 27, 990-1012. [CrossRef]
- Vogtländer, J.G.; Hendriks, P.C.F.; Brezet, P.H.C. The EVR model for sustainability, A tool to optimize product design and resolve strategic dilemmas. J. Sustain. Prod. Des. 2001, 1, 103-116. [CrossRef]
- Keeney, L.R.; Lilien, L.G. New Industrial Product Design and Evaluation Using Multiattribute Value Analysis. J. Prod. Innov. Manag. 1987, 4, 185-198. [CrossRef]
- Thurston, D.L. A formal method for subjective design evaluation with multiple attributes. Res. Eng. Des. 1991, 3, 105-122.
- Chou, J.-R. A Gestalt-Minimalism-based decision-making model for evaluating product form design. Int. J. Ind. Ergon. 2011, 41, 607-616. [CrossRef]
- Michalek, J.J.; Feinberg, F.M.; Papalambros, P.Y. Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading. J. Prod. Innov. Manag. 2005, 22, 42-62. [CrossRef]
- Hambali, A.; Sapuan, S.M.; Ismail, N.; Nukman, Y. Application of analytical hierarchy process in the design concept selection of automotive composite bumper beam during the conceptual design stage. Sci. Res. Essays 2009, 4, 198-211.
- Lin, C.-Y.; Kremer, G.E.O. DEA Applications in the Product Design Domain; VDM Publishing: Saarbrücken, Germany, 2010.
- Charnes, A.; Cooper, W.W.; Rhodes, E. Measuring the efficiency of decision making units. Eur. J. Oper. Res. 1978, 2, 429-444.
- Hwang, S.-N.; Chen, C.; Chen, Y.; Lee, H.-S.; Shen, P.-D. Sustainable design performance evaluation with applications in the automobile industry: Focusing on inefficiency by undesirable factors. Omega 2013, 41, 553-558. [CrossRef]
- Chang, D.; Sun, K.P. Applying DEA to enhance assessment capability of FMEA. Int. J. Qual. Reliab. Manag. 2009, 26, 629-643.
- Emrouznejad, A.; Parker, B.R.; Tavares, G. Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA. Socio-Econ. Plan. Sci. 2008, 42, 151-157. [CrossRef]
- Hamdan, A.; Rogers, K.J. Evaluating the efficiency of 3PL logistics operations. Int. J. Prod. Econ. 2008, 113, 235-244. [CrossRef]
- Doyle, J. Comparing products using data envelopment analysis. Omega 1991, 19, 631-638. [CrossRef]
- Papagapiou, A.; Mingers, J.; Thanassoulis, E. Would you buy a used car with DEA? OR Insight 1997, 10, 13-19. [CrossRef]
- González, E.; Cárcaba, A.; Ventura, J. How car dealers adjust prices to reach the product efficiency frontier in the Spanish automobile market. Omega 2015, 51, 38-48. [CrossRef]
- Lee, J.-D.; Hwang, S.; Kim, T.-Y. The Measurement of Consumption Efficiency Considering the Discrete Choice of Consumers. J. Prod. Anal. 2005, 23, 65-83. [CrossRef]
- Smirlis, Y.G.; Despotis, D.K.; Jablonsky, J.; Fiala, P. Identifying "best-buys" in the market of prepaid mobile telephony: An application of imprecise DEA. Int. J. Inf. Technol. Decis. Mak. 2004, 3, 167-177. [CrossRef]
- Khouja, M. The use of data envelopment analysis for technology selection. Comput. Ind. Eng. 1995, 28, 123-132. [CrossRef]
- Braglia, M.; Petroni, A. Evaluating and selecting investments in industrial robots. Int. J. Prod. Res. 1999, 37, 4157-4178. [CrossRef]
- Karsak, E.E.; Ahiska, S.S. Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection. Int. J. Prod. Res. 2005, 43, 1537-1554. [CrossRef]
- Saen, R.F. Technology selection in the presence of imprecise data, weight restrictions, and nondiscretionary factors. Int. J. Adv. Manuf. Technol. 2008, 41, 827-838. [CrossRef]
- Sadeghi, S.A.H.; Ahmady, N.; Ahmady, E. Technology selection in the presence of fuzzy data and dual-role factors. Int. J. Adv. Manuf. Technol. 2011, 62, 801-811. [CrossRef]
- Amin, G.R.; Emrouznejad, A. A new DEA model for technology selection in the presence of ordinal data. Int. J. Adv. Manuf. Technol. 2012, 65, 1567-1572. [CrossRef]
- Koulouriotis, D.E.; Ketipi, M.K. Robot evaluation and selection Part A: An integrated review and annotated taxonomy. Int. J. Adv. Manuf. Technol. 2014, 71, 1371-1394. [CrossRef]
- Sun, S. Assessing computer numerical control machines using data envelopment analysis. Int. J. Prod. Res. 2002, 40, 2011-2039.
- Wang, Y.-M.; Chin, K.-S. A new approach for the selection of advanced manufacturing technologies: DEA with double frontiers. Int. J. Prod. Res. 2009, 47, 6663-6679. [CrossRef]
- Amin, G.R.; Toloo, M.; Sheikhan, M. Input and output scaling in advanced manufacturing technology: Theory and application. Int. J. Adv. Manuf. Technol. 2010, 50, 1235-1241. [CrossRef]
- Hassan, M.M. An evaluation of input and output of expert systems for selection of material handling equipment. J. Manuf. Technol. Manag. 2014, 25, 1049-1067. [CrossRef]
- Sarkis, J.; Talluri, S. A decision model for evaluation of flexible manufacturing systems in the presence of both cardinal and ordinal factors. Int. J. Prod. Res. 1999, 37, 2927-2938. [CrossRef]
- Talluri, S.; Whiteside, M.M.; Seipel, S.J. A nonparametric stochastic procedure for FMS evaluation. Eur. J. Oper. Res. 2000, 124, 529-538. [CrossRef]
- Liu, S.-T. A fuzzy DEA/AR approach to the selection of flexible manufacturing systems. Comput. Ind. Eng. 2008, 54, 66-76.
- Karsak, E.E. Using data envelopment analysis for evaluating flexible manufacturing systems in the presence of imprecise data. Int. J. Adv. Manuf. Technol. 2006, 35, 867-874. [CrossRef]
- Pizam, A. International Encyclopedia of Hospitality Management; Butterworth-Heinemann: Burlington, MA, USA, 2012. [CrossRef]
- Shi, G.-M.; Bi, J.; Wang, J.-N. Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs. Energy Policy 2010, 38, 6172-6179. [CrossRef]
- Banker, R.D.; Charnes, A.; Cooper, W.W. Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Manag. Sci. 1984, 30, 1078-1092. [CrossRef]
- Seiford, L.M.; Zhu, J. Context-dependent data envelopment analysis-Measuring attractiveness and progress. Omega 2003, 31, 397-408. [CrossRef]
- Ghotbuee, A.; Hemati, M.; Fateminezhad, R. An empirical study based on BSC-DEA to measure the relative efficiencies of different health care centers in province of Semnan, Iran. Manag. Sci. Lett. 2012, 2, 2643-2650. [CrossRef]
- Cooper, W.W.; Seiford, L.M.; Zhu, J. Data envelopment analysis: History, models, and interpretations. In Handbook on Data Envelopment Analysis; Springer: Boston, MA, USA, 2011; pp. 1-39. [CrossRef]
- Farrell, M.J. The Measurement of Productive Efficiency. J. R. Stat. Soc. Ser. A (General) 1957, 120, 253-290. [CrossRef]
- Bogetoft, P.; Lars, L. Benchmarking with DEA, SFA and R; Springer: New York, NY, USA, 2011. [CrossRef]
- Morita, H.; Hirokawa, K.; Zhu, J. A slack-based measure of efficiency in context-dependent data envelopment analysis. Omega 2005, 33, 357-362. [CrossRef]
- Çakır, S.; Perçin, S.; Min, H. Evaluating the comparative efficiency of the postal services in OECD countries using context- dependent and measure-specific data envelopment analysis. Benchmarking Int. J. 2015, 22, 839-856. [CrossRef]
- Tversky, A.; Simonson, I. Context-Dependent Preferences. Manag. Sci. 1993, 39, 1179-1189. [CrossRef]
- Vlontzos, G.; Theodoridis, A. Efficiency and productivity change in the Greek dairy industry. Agric. Econ. Rev. 2013, 14, 1-15.
- Sharma, M.J.; Yu, S.J. Benchmark optimization and attribute identification for improvement of container terminals. Eur. J. Oper. Res. 2010, 201, 568-580. [CrossRef]
- Baležentis, T.; Baležentis, A. Context-dependent assessment of the efficiency of Lithuanian family farms. Manag. Theory Stud. Rural. Bus. Infrastruct. Dev. 2014, 36, 8-15. [CrossRef]
- Holzmann, P.; Breitenecker, R.J.; Schwarz, E.J. Business model patterns for 3D printer manufacturers. J. Manuf. Technol. Manag. 2019, 31, 1281-1300. [CrossRef]
- Wickramasinghe, S.; Do, T.; Tran, P. FDM-Based 3D Printing of Polymer and Associated Composite: A Review on Mechanical Properties, Defects and Treatments. Polymers 2020, 12, 1529. [CrossRef] [PubMed]
- Warnung, L.; Estermann, S.-J.; Reisinger, A. Mechanical Properties of Fused Deposition Modeling (FDM) 3D Printing Materials. RTejournal-Fachforum Rapid Technol. 2018, 15. Available online: https://www.rtejournal.de/ausgabe-15-2018/4781 (accessed on 26 April 2021).
- Simplify3D-Filament Properties Table. Available online: https://www.simplify3d.com/support/materials-guide/properties- table (accessed on 26 April 2021).
- Stratasys-Material Wizard. Available online: https://www.stratasysdirect.com/materials/material-wizard (accessed on 26 April 2021).
- 3Dhubs-FDM 3D Printing Materials Compared. Available online: https://www.3dhubs.com/knowledge-base/fdm-3d- printing-materials-compared (accessed on 26 April 2021).
- Bowlin, W.F. Measuring Performance: An Introduction to Data Envelopment Analysis (DEA). J. Cost Anal. 1998, 7, 3-27. [CrossRef]
- Dyson, R.; Allen, R.; Camanho, A.; Podinovski, V.; Sarrico, C.; Shale, E. Pitfalls and protocols in DEA. Eur. J. Oper. Res. 2001, 132, 245-259. [CrossRef]
- Zhu, J. Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets; Springer: Boston, MA, USA, 2014. [CrossRef]
- Pai, P.; Khan, B.M.; Kachwala, T. Data envelopment analysis: Is BCC model better than CCR model? Case of Indian life insurance companies. NMIMS Manag. Rev. 2020, 38, 17-35.
- Ulucan, A.; Atıcı, K.B. Efficiency evaluations with context-dependent and measure-specific data envelopment approaches: An application in a World Bank supported project. Omega 2010, 38, 68-83. [CrossRef]
- Chen, Y.; Morita, H.; Zhu, J. Context-dependent DEA with an application to Tokyo public libraries. Int. J. Inf. Technol. Decis. Mak. 2005, 4, 385-394. [CrossRef]