Big data in manufacturing: a systematic mapping study

Journal of Big Data

Volumn 2, Issue 1, 2015, Pages

  O’Donovan, Peter ^a   Leahy, Kevin ^a   Bruton, Ken ^a   O’Sullivan, Dominic T J ^a  

^a UNIVERSITY COLLEGE CORK   (Ireland)

Author keywords

Big data; Big data analytics; Big data systems; Cyber physical systems; Distributed computing; Engineering informatics; Industry 4.0; Internet of things, loT; Machine learning; Manufacturing; Smart manufacturing

Indexed keywords

BIG DATA; CYBER PHYSICAL SYSTEM; DECISION MAKING; DISTRIBUTED COMPUTER SYSTEMS; EMBEDDED SYSTEMS; FLOW CONTROL; INDUSTRIAL RESEARCH; INTERNET OF THINGS; LEARNING SYSTEMS; MAPPING; REAL TIME SYSTEMS;

BIG DATA ANALYTIC; BIG DATA SYSTEM; CYBE-PHYSICAL SYSTEMS; CYBER-PHYSICAL SYSTEMS; DATA ANALYTICS; DATA SYSTEMS; ENGINEERING INFORMATICS; INTERNET OF THING, LOT; MACHINE-LEARNING; MANUFACTURING; SMART MANUFACTURING;

INDUSTRY 4.0;

EID: 85013945182     PISSN: None     EISSN: 21961115     Source Type: Journal    
DOI: 10.1186/s40537-015-0028-x     Document Type: Article

References (17)

1. Davis J, Edgar T, Porter J, Bernaden J, Sarli M (2012) Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Comput Chem Eng 47:145–156
2. Chand S, Davis J (2010) What is smart manufacturing? Time magazine
3. Lee J, Kao HA, Yang S (2014) Service innovation and smart analytics for Industry 4.0 and big data environment. Procedia CIRP 16:3–8
4. Hazen BT, Boone CA, Ezell JD, Jones-Farmer LA (2014) Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. Int J Prod Econ 154:72–80
5. Fosso Wamba S, Akter S, Edwards A, Chopin G, Gnanzou D. How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study. Int J Prod Econ. 2015;165:1–13.
6. Lee J, Lapira E, Bagheri B, Kao H (2013) Recent advances and trends in predictive manufacturing systems in big data environment. Manuf Lett 1(1):38–41
7. Kumar P, Dhruv B, Rawat S, Rathore VS (2014) Present and future access methodologies of big data. Int J Adv Res Sci Eng 8354(3):541–547
8. McKinsey, “Big data: The next frontier for innovation, competition, and productivity,” 2011.
9. Philip Chen CL, Zhang C-Y (2014) “Data-intensive applications, challenges, techniques and technologies: A survey on Big Data,”. Inf Sci (Ny) 275:314–347
10. Vera-baquero A, Colomo-palacios R, Molloy O (2014) “Towards a process to guide Big data based decision support systems for business processes,”. In: Conference on ENTERprise information systems towards, vol 00., p 2212
11. Lee J, Bagheri B, Kao H (2015) A cyber-physical systems architecture for industry 4. 0-based manufacturing systems. Manuf Lett 3:18–23
12. Wright P (2014) Cyber-physical product manufacturing. Manuf Lett 2(2):49–53
13. Petersen K, Feldt R, Mujtaba S, Mattsson M (2008) “Systematic mapping studies in software engineering,” EASE’08 Proc. 12th Int Conf Eval Assess Softw Eng., pp. 68–77.
14. Budgen B, Turner D, Brereton M, Kitchenham P (2008) Using mapping studies in software engineering. Proc PPIG 2:195–204, 2088
15. Wieringa R, Maiden N, Mead N, Rolland C (2006) Requirements engineering paper classification and evaluation criteria: a proposal and a discussion. Requir Eng 11:102–107
16. Meziane F, Vadera S, Kobbacy K, Proudlove N (2000) Intelligent systems in manufacturing: current developments and future prospects. Integr Manuf Syst 11(4):218–238
17. Delen D, Demirkan H (2013) Data, information and analytics as services. Decis Support Syst 55(1):359–363