A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products

Journal of Cleaner Production

Volumn 142, Issue , 2017, Pages 626-641

  Zhang, Yingfeng ^a   Ren, Shan ^a,d   Liu, Yang ^b,c   Si, Shubin ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b LINKÖPING UNIVERSITY   (Sweden)

^c UNIVERSITY OF VAASA   (Finland)

^d HONGHE UNIVERSITY   (China)

Author keywords

Big data analytics; Cleaner production; Data mining; Maintenance; Manufacturing; Product lifecycle; Sustainable production

Indexed keywords

ARCHITECTURE; BIG DATA; COMPETITION; DATA MINING; DECISION MAKING; MAINTENANCE; MANUFACTURE; PLANNING; POLLUTION CONTROL; SUSTAINABLE DEVELOPMENT;

CLEANER PRODUCTION; DATA ANALYTICS; MANAGERIAL IMPLICATIONS; MANUFACTURING ENTERPRISE; PRODUCT LIFE CYCLE MANAGEMENT; PRODUCT-LIFE-CYCLE; SUSTAINABLE COMPETITIVE ADVANTAGES; SUSTAINABLE PRODUCTION;

LIFE CYCLE;

EID: 84999036761     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2016.07.123     Document Type: Article

References (62)

1. Auschitzky, E., Hammer, M., Rajagopaul, A., How Big Data Can Improve Manufacturing. 2014, McKinsey Glob. Inst. Available at: http://www.mckinsey.com/insights/operations/how_big_data_can_improve_manufacturing (accessed 25.05.15.).
2. Ball, P.D., Evans, S., Levers, A., Ellison, D., Zero carbon manufacturing facility -towards integrating material, energy, and waste process flows. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 223:9 (2009), 1085–1096.
3. Bennane, A., Yacout, S., LAD-CBM; new data processing tool for diagnosis and prognosis in condition-based maintenance. J. Intell. Manuf. 23:2 (2012), 265–275.
4. Beuren, F.H., Ferreira, M.G.G., Miguel, P.A.C., Product-service systems: a literature review on integrated products and services. J. Clean. Prod. 47 (2013), 222–231.
5. Candido, L., Kindlein, W., Demori, R., Carli, L., Mauler, R., Oliveira, R., The recycling cycle of materials as a design project tool. J. Clean. Prod. 19 (2011), 1438–1445.
6. Callia, R.C., Guerrini, F.M., de Castro, M., The impact of Six Sigma in the performance of a pollution prevention program. J. Clean. Prod. 17:15 (2009), 1303–1310.
7. Chen, Y.S., Cheng, C.H., Lai, C.J., Extracting performance rules of suppliers in the manufacturing industry: an empirical study. J. Intell. Manuf. 23:5 (2012), 2037–2045.
8. Cheung, W.M., Marsh, R., Griffin, P.W., Newnes, L.B., Mileham, A.R., Lanham, J.D., Towards cleaner production: a roadmap for predicting product end-of-life costs at early design concept. J. Clean. Prod. 87 (2015), 431–441.
9. Chien, C.F., Chang, K.H., Wang, W.C., An empirical study of design-of-experiment data mining for yield-loss diagnosis for semiconductor manufacturing. J. Intell. Manuf., 2013, 1–12.
10. Choudhary, A.K., Harding, J.A., Tiwari, M.K., Data mining in manufacturing: a review based on the kind of knowledge. J. Intell. Manuf. 20:5 (2009), 501–521.
11. Corominas, L., Larsen, H.F., Flores-Alsina, X., Vanrolleghem, P.A., Including life cycle assessment for decision-making in controlling wastewater nutrient removal systems. J. Environ. Manag. 128 (2013), 759–767.
12. Dai, J.Q., Huang, J., Huang, S.S., Huang, B., Liu, Y., Hitune: data flow-based performance analysis for big data cloud. Proceeding of the 2011 USENIXAnnual Technical Conference, 2011, 87–100.
13. Galletti, A., Papadimitriou, D.C., How Big Data Analytics Are Perceived as a Driver for Competitive Advantage: a Qualitative Study on Food Retailers. Master thesis, 2013, 1–58.
14. Gao, J., Yao, Y., Zhu, V.C.Y., Sun, L., Lin, L., Service-oriented manufacturing: a new product pattern and manufacturing paradigm. J. Intell. Manuf. 22:3 (2009), 435–446.
15. Geng, X., Chu, X., Zhang, Z., An association rule mining and maintaining approach in dynamic database for aiding product-service system conceptual design. Int. J. Adv. Manuf. Technol. 62:1–4 (2012), 1–13.
16. Georgiadis, P., Athanasiou, E., The impact of two-product joint lifecycles on capacity planning of remanufacturing networks. Eur. J. Oper. Res. 202:2 (2010), 420–433.
17. Giannetti, B.F., Bonilla, S.H., Silva, I.R., Almeida, C.M.V.B., Cleaner production practices in a medium size gold-plated jewelry company in Brazil: when little changes make the difference. J. Clean. Prod. 16 (2008), 1106–1117.
18. Grüninger, M., Shapiro, S., Fox, M.S., Weppner, H., Combining RFID with ontologies to create smart objects. Int. J. Prod. Res. 48:9 (2010), 2633–2654.
19. Hadaya, P., Marchildon, P., Understanding product lifecycle management and supporting systems. Ind. Manag. Data. Syst. 112:4 (2012), 559–583.
20. Huang, G.Q., Qu, T., Zhang, Y., Yang, H.D., RFID-enabled product-service system for automotive part and accessory manufacturing alliances. Int. J. Prod. Res. 50:14 (2012), 3821–3840.
21. Huang, Y., Luo, J., Xia, B., Application of cleaner production as an important sustainable strategy in the ceramic tile plant e a case study in Guangzhou, China. J. Clean. Prod. 43 (2013), 113–121.
22. Jeong, S., Shimoyama, K., Review of data mining for multi-disciplinary design optimization. Proc. Inst. Mech. Eng. G. J. Aerosp. Eng. 225:5 (2011), 469–479.
23. Jun, H.B., Shin, J.H., Kim, Y.S., Kiritsis, D., Xirouchakis, P., A framework for RFID applications in product lifecycle management. Int. J. Comp. Integr. Manuf. 22:7 (2009), 595–615.
24. Jun, H.B., Shin, J.H., Kiritsis, D., Xirouchakis, P., System architecture for closed-loop PLM. Int. J. Comp. Integr. Manuf. 20:7 (2007), 684–698.
25. Kantola, J., et al. Call for papers for a special volume of the journal of cleaner production on “innovative products and services for sustainable societal development”. J. Clean. Prod. 93 (2015), 1–4, 10.1016/j.jclepro.2015.01.067.
26. Kiritsis, D., Bufardi, A., Xirouchakis, P., Research issues on product lifecycle management and information tracking using smart embedded systems. Adv. Eng. Inform. 17:3 (2003), 189–202.
27. Köksal, G., Batmaz, I., Testik, M.C., A review of data mining applications for quality improvement in manufacturing industry. Expert Syst. Appl. 38:10 (2011), 13448–13467.
28. Kupusovic, T., Midzic, S., Silajdzic, I., Bjelavac, J., Cleaner production measures in small-scale slaughterhouse industry e case study in Bosnia and Herzegovina. J. Clean. Prod. 15 (2005), 378–383.
29. Kusiak, A., Verma, A., Analyzing bearing faults in wind turbines: a data-mining approach. Renew. Energy 48 (2012), 110–116.
30. Laney, D., 3D Data Management: Controlling Data Volume, Velocity and Variety. 2001 META Group Research Note. Available at: http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-DataManagement-Controlling-Data-Volume-Velocity-and-Variety.pdf.
31. Lee, B.E., Suh, S.H., An architecture for ubiquitous product life cycle support system and its extension to machine tools with product data model. Int. J. Adv. Manuf. Tech. 42:5–6 (2009), 606–620.
32. Lee, C.K.H., Ho, G.T.S., Choy, K.L., Pang, G.K.H., A RFID-based recursive process mining system for quality assurance in the garment industry. Int. J. Prod. Res. 52:14 (2014), 4216–4238.
33. Li, J.R., Tao, F., Cheng, Y., Zhao, L.J., Big Data in product lifecycle management. Int. J. Adv. Manuf. Technol. 84:1–4 (2015), 667–684.
34. Liu, Y., Sustainable competitive advantage in turbulent business environments. Int. J. Prod. Res. 51:10 (2013), 2821–2841.
35. Liu, Y., Liang, L., Evaluating and developing resource-based operations strategy for competitive advantage: an exploratory study of Finnish high-tech manufacturing industries. Int. J. Prod. Res. 53:4 (2015), 1019–1037.
36. Luken, R., Rompaey, F.V., Drivers for and barriers to environmentally sound technology adoption by manufacturing plants in nine developing countries. J. Clean. Prod. 16:1 Suppl. 1 (2008), S67–S77.
37. Magro, M.C., Pinceti, P., A confirmation technique for predictive maintenance using the Rough Set Theory. Comput. Ind. Eng. 56:4 (2009), 1319–1327.
38. Mavridou, E., Kehagias, D.D., Tzovaras, D., Hassapis, G., Mining affective needs of automotive industry customers for building a mass-customization recommender system. J. Intell. Manuf. 24:2 (2013), 251–265.
39. Metan, G., Sabuncuoglu, I., Pierreval, H., Real time selection of scheduling rules and knowledge extraction via dynamically controlled data mining. Int. J. Prod. Res. 48:23 (2010), 6909–6938.
40. Mittermeyer, S.A., Njuguna, J.A., Alcock, J.R., Product-service systems in health care: case study of a drug-device combination. Int. J. Adv. Manuf. Technol. 52:9–12 (2010), 1209–1221.
41. Murillo-Luna, J.L., Garces-Ayerbe, C., Rivera-Torres, P., Barriers to the adoption of proactive environmental strategies. J. Clean. Prod. 19:13 (2011), 1417–1425.
42. Ngai, E.W., Xiu, L., Chau, D.C., Application of data mining techniques in customer relationship management: a literature review and classification. Expert. Syst. Appl. 36:2 (2009), 2592–2602.
43. Osman, M.S., Ram, B., Stanfield, P., Samanlioglu, F., Davis, L., Bhadury, J., Radio frequency identification system optimisation models for lifecycle of a durable product. Int. J. Prod. Res. 48:9 (2010), 2699–2721.
44. Premalatha, S., Baskar, N., Implementation of supervised statistical data mining algorithm for single machine scheduling. J. Adv. Manag. Res. 9 (2012), 170–177.
45. Purarjomandlangrudi, A., Ghapanchi, A.H., Esmalifalak, M., A data mining approach for fault diagnosis: an application of anomaly detection algorithm. Measurement 55:1 (2014), 343–352.
46. Rabl, T., Gómez-Villamor, S., Sadoghi, M., Muntés-Mulero, V., Jacobsen, H.-A., Mankovskii, S., Solving big data challenges for enterprise application performance management. Proc. VLDB Endow. 5:12 (2012), 1724–1735.
47. Sallez, Y., Berger, T., Deneux, D., Trentesaux, D., The lifecycle of active and intelligent products: the augmentation concept. Int. J. Comp. Integr. Manuf. 23:10 (2010), 905–924.
48. Silva, D.A., Delai, I., Castro, M.A., Ometto, A.R., Quality tools applied to cleaner production programs: a first approach towards a new methodology. J. Clean. Prod. 47 (2013), 174–187.
49. Stone, L., When case studies are not enough: the influence of corporate culture and employee attitudes on the success of cleaner production initiatives. J. Clean. Prod. 8 (2000), 353–359.
50. UNEP DTIE (United Nations Environmental Programme-Division of Technology, Industry and Environment), Cleaner Production-a Resource Training Package. first ed., 1996, United Nations Publication, Paris.
51. UNIDO (United Nations industrial development organization), Manual on the Development of Cleaner Production Policies-approaches and Instruments. 2002 Guidelines for National Cleaner Production Centres and Programmes http://www.unido.org/fileadmin/import/9750_0256406e.pdf (accessed 02.06.15.).
52. USEPA (United States Environmental Protection Agency), Principles of Pollution Prevention and Cleaner Production: an International Training Course (Participant's Manual). 1998 (accessed 02.06.15.) http://www.p2pays.org/ref/02/01993.pdf.
53. Vinodh, S., Prakash, N.H., Selvan, K.E., Evaluation of agility in supply chains using fuzzy association rules mining. Int. J. Prod. Res. 49:22 (2011), 6651–6661.
54. Wang, H.W., Chen, S., Xie, Y., An RFID-based digital ware-house management system in the tobacco industry: a case study. Int. J. Prod. Res. 48:9 (2010), 2513–2548.
55. Wei, F.F., ECL Hadoop: “Big Data” processing based on Hadoop strategy in effective e-commerce logistics. Comput. Eng. Sci. 35:10 (2013), 65–71.
56. White, T., Map reduce and the hadoop distributed file system. Hadoop: the Definitive Guide, first ed., 2012, O'Reilly Media, Inc., Yahoo press.
57. Xu, D.F., Li, Q., Jun, H.B., Browne, J., Chen, Y.L., Kiritsis, D., Modelling for product information tracking and feedback via wireless technology in closed-loop supply chains. Int. J. Comp. Integr. Manuf. 22:7 (2009), 648–670.
58. Yang, X., Moore, P., Chong, S.K., Intelligent products: from lifecycle data acquisition to enabling product-related services. Comput. Ind. 60:3 (2009), 184–194.
59. Zhang, Y.F., Zhang, G., Wang, J.Q., Sun, S.D., Si, S.B., Yang, T., Real-time information capturing and integration framework of the internet of manufacturing things. Int. J. Comp. Integr. Manuf. 28:8 (2015), 811–822.
60. Zhang, Y.F., Xu, J.X., Sun, S.D., Yang, T., Real-time information driven intelligent navigation method of assembly station in unpaced lines. Comput. Ind. Eng. 84 (2015), 91–100.
61. Zhang, Y.F., Zhang, G., Du, W., Wang, J.Q., Ali, E., Sun, S.D., An optimization method for shopfloor material handling based on real-time and multi-source manufacturing data. Int. J. Prod. Econ. 165 (2015), 282–292.
62. Zhang, Y.F., Liu, S., Liu, Y., Li, R., Smart box enabled product-service system for cloud logistics. Int. J. Prod. Res., 2016, 10.1080/00207543.2015.1134840.