Abstract
Ambient intelligence (AmI) researchers have primarily come from information engineering, electrical engineering, and medical backgrounds. However, industrial engineering (IE) concepts and techniques are crucial to the sustainable development of the AmI industry. For this reason, two IE concepts and techniques, the planning cycle and cost–benefit analysis, were applied to an AmI system in this study. First, a five-step planning cycle was proposed, according to which a detailed cost–benefit analysis was performed that aggregated objectives on the client side, the server side, and in the AmI system as a whole. A restaurant recommendation system was used to illustrate the proposed methodology. The experimental results showed that the system administrator was able to perform a credible cost–benefit analysis and improve the system performance by using the proposed methodology.
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Al Nahas H, Deogun JS (2007) Radio frequency identification applications in smart hospitals. Twentieth IEEE International Symposium on Computer-Based Medical Systems, pp 337–342
Ambient Intelligence Association of Taiwan (2013) http://www.amie-tw.org/index.html
Andrienko G, Andrienko N, Bak P, Bremm S, Keim D, von Landesberger T, Pölitz C, Schreck T (2010) A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage. J Locat Based Serv 4(3–4):200–221
Astrain JJ , Villadangos J, Garitagoitia JR, González de Mendívil JR, Cholvi V (2006) Fuzzy location and tracking on wireless networks. Proceedings of the 4th ACM International Workshop on Mobility Management and Wireless Access, pp 84–91
Cesta A, Oddi A, Smith SF (2002) A constrained-based method for project scheduling with time windows. J Heuristics 8(1):109–135
Chen T (2015) Creating a just-in-time location-aware service using fuzzy logic. Appl Spat Anal Policy (in press)
Chen T, Wu HC (2013) Finding the just-in-time service location and path in a ubiquitous service network. Int J Internet Manuf Serv 3(2):137–147
Chen T, Chan C-C, Wu H-C, Lin Y-C (2015) Ambient intelligence and ergonomics in Asia. J Ambient Intell Humaniz Comput 6:1–2
Cook DJ, Youngblood M, Das SK (2006) A multi-agent approach to controlling a smart environment. Lect Notes Artif Intell 4008:165–206
Ducatel K, Bogdanowicz M, Scapolo F, Leijten J, Burgelman J-C (2001) Scenarios for ambient intelligence in 2010. IST Advisory Group Final Report. European Commission, Brussels
Frederick EC (1984) Physiological and ergonomics factors in running shoe design. Appl Ergon 15(4):281–287
Google.com (2014) http://maps.google.com
Griffin RC (1998) The fundamental principles of cost-benefit analysis. Water Resour Res 34(8):1998
idtechex.com (2009) RFID market forecasts 2009–2019. http://www.idtechex.com/research/articles/rfid_market_forecasts_2009_2019_00001377.asp
Kuo Y-F, Chen P-C (2006) Selection of mobile value-added services for system operators using fuzzy synthetic evaluation. Expert Syst Appl 30(4):612–620
marketsandmarkets.com (2011) Global smart homes market (2010–2015). http://www.marketsandmarkets.com/Market-Reports/smart-homes-and-assisted-living-advanced-technologie-and-global-market-121.html
Mateo RMA, Lee M, Joo S-C, Lee J (2006) Location-aware data mining for mobile users based on neuro-fuzzy system. Lect Notes Comput Sci 4223:1269–1278
Mundel ME, Danner D (1985) Motion and time study: improving productivity. Prentice-Hall, Englewood Cliffs
Raper J, Gartner G, Karimi H, Rizos C (2007) Applications of location-based services: a selected review. J Locat Based Serv 1(2):89–111
Rinner C, Raubal M (2004) Personalized multi-criteria decision strategies in location based decision support. J Geogr Inf Sci 10:149–156
Sadri F (2011) Ambient intelligence: a survey. ACM Comput Surv 43(4):1–66
Savage NS, Baranski M, Chavez NE, Höllerer T (2012) I’m feeling LoCo: a location based context aware recommendation system. In: Gartner G, Ortag F (eds) Advances in locat-based Services. Springer, Berlin, Heidelberg, pp 37–54
Shewhart WA (1980) Economic Control of Quality of Manufactured Product/50th Anniversary Commemorative Issue. American Society for Quality
Shingo S (1989) A study of the Toyota production system: from an Industrial Engineering Viewpoint. Productivity Press, Boca Raton
STPI (2007) http://cdnet.stpi.org.tw/techroom/market/eetelecomm_mobile/eetelecomm_mobile_131.htm
Taipei City Government (2010) http://telecare.taipei.gov.tw/
Tsai H-R, Chen T (2014) Enhancing the sustainability of a location-aware service through optimization. Sustainability 6:9441–9455
Wu H-C, Chen T (2015) CART–BPN approach for estimating cycle time in wafer fabrication. J Ambient Intell Humaniz Comput 6:57–67
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This study was supported by Ministry of Science and Technology, Taiwan.
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Chen, T., Tsai, HR. Application of industrial engineering concepts and techniques to ambient intelligence: a case study. J Ambient Intell Human Comput 9, 215–223 (2018). https://doi.org/10.1007/s12652-015-0311-x
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DOI: https://doi.org/10.1007/s12652-015-0311-x