- Autor
- Kwapisz Jakub (Universidade de Lisboa, Lisbon, Portugal), Infante Virginia (Universidade de Lisboa, Lisbon, Portugal)
- Tytuł
- Identifying Part Commonalities in a Manufacturing Company Database
- Źródło
- Information Systems in Management, 2016, vol. 5, nr 3, s. 336-346, rys., bibliogr. 17 poz.
Systemy Informatyczne w Zarządzaniu - Słowa kluczowe
- Data Mining, Studium przypadku, Bazy danych
Data Mining, Case study, Databases - Uwagi
- summ.
This work was supported by the Fundação para a Ciência e a Tecnologia (FCT) under grant SFRH/BD/51595/2011. This work was also supported by FCT, through IDMEC, under LAETA, project UID/EMS/50022/2013 - Abstrakt
- Manufacturing companies that produce and assemble multiple products rely on databases containing thousands or even millions of parts. These databases are expensive to support, maintain and the inherent complexity does not allow end users to utilize fully such databases. Designers and engineers are often not able to find previously created parts, which they could potentially reuse, and they add one more part to the database. Engineered improvements without removal of the previous version of the component also cause the avoidable increase of elements in the database. Reuse of parts or planned development of common parts across products brings many benefits for manufacturers. Search algorithm utilized across part databases and varying projects allows identifying similar parts. The goal is to compare part names and attributes resulting in the assignment of a similarity score. Determining common and differentiating part attributes and characteristics between pairs of components allows nominating parts that can become shared in different products. The case study utilizes an industrial example to evaluate and assess the feasibility of the proposed method for identifying commonality opportunities. It turned out that it is possible to find many parts that can be potentially shared between different products. (original abstract)
- Pełny tekst
- Pokaż
- Bibliografia
- Boas R., Cameron B., Crawley E.F. Divergence and Lifecycle Offsets in Product Families with Commonality. Systems Engineering. 2013.
- Christen P. Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Springer Science & Business Media; 2012.
- Corl M.J. Methodology for Optimizing Commonality Decisions in Multiple Classes of Ships. 2007 [cited 2015 Jun 28]; Available from: http://deepblue.lib.umich.edu/handle/2027.42/55684
- Corl M.J., Parsons M.G., Kokkolaras M. Optimal Commonality Decisions in Multiple Ship Classes [Internet]. In: Simpson T.W., Jiao J. (Roger), Siddique Z., Hölttä-Otto K., editors. Advances in Product Family and Product Platform Design. Springer New York; 2014 [cited 2015 Jan 7]. p. 625-645. Available from: http://link.springer.com/chapter/10.1007/978-1-4614-7937-6_25
- Fisher M., Ramdas K., Ulrich K. Component Sharing in the Management of Product Variety: A Study of Automotive Braking Systems. Manage. Sci. 1999 Mar; 45(3): 297-315.
- Hanafy M., ElMaraghy H. A modular product multi-platform configuration model. International Journal of Computer Integrated Manufacturing. 2015 Sep 2; 28(9): 999-1014.
- Hoppmann J., Rebentisch E., Dombrowski U., Thimo Zahn. A Framework for Organizing Lean Product Development. Engineering Management Journal. 2011 Mar; 23(1): 3-15.
- Kelkar B.A., Manwade P.K.B., Patil P.G.A. Near Duplicate Detection In Relational Database [Internet]. ESRSA Publications; 2013 [cited 2015 Jul 14]. Available from: http://www.ijert.org/view-pdf/2879/near-duplicate-detection-in-relational-database
- Lin Y.-S., Liao T.-Y., Lee S.-J. Detecting near-duplicate documents using sentence-level features and supervised learning. Expert Systems with Applications. 2013 Apr; 40 (5): 1467-1476.
- Liu N., Choi T.-M., Yuen C.M., Ng F. Optimal Pricing, Modularity, and Return Policy Under Mass Customization. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans. 2012 May; 42(3): 604-614.
- McCoy A.B., Wright A., Kahn M.G., Shapiro J.S., Bernstam E.V., Sittig D.F. Matching identifiers in electronic health records: implications for duplicate records and patient safety. BMJ Qual Saf. 2013 Mar 1; 22 (3): 219-224.
- Meyer M.H., Lehnerd A.P. The power of product platforms: building value and cost leadership. Free Press; 1997.
- Nobelius D., Sundgren N. Managerial issues in parts sharing among product development projects: a case study. Journal of Engineering and Technology Management. 2002; 19 (1): 59-73.
- Shi J. (Junmin), Zhao Y. Component commonality under no-holdback allocation rules. Operations Research Letters. 2014 Sep; 42 (6-7): 409-413.
- Wang G., Chen S., Lin M., Liu X. SBBS: A sliding blocking algorithm with backtracking sub-blocks for duplicate data detection. Expert Systems with Applications. 2014 Apr; 41 (5): 2415-2423.
- Yan S., Lee D., Kan M.-Y., Giles L.C. Adaptive Sorted Neighborhood Methods for Efficient Record Linkage [Internet]. In: Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries. New York, NY, USA: ACM; 2007 [cited 2015 Oct 28]. p. 185-194. Available from: http://doi.acm.org/10.1145/1255175.1255213
- A330 Family: A330-200, A330-300 - A330 photos, pictures, A330 videos, A330 3D view | Airbus | Airbus, a leading aircraft manufacturer [Internet]. airbus. [cited 2015 Oct 27]; Available from: http://www.airbus.com/aircraftfamilies/passengeraircraft/a330family/
- Cytowane przez
- ISSN
- 2084-5537
- Język
- eng