Abstract
Consumers’ market is made up of huge number of products as a direct response to the ever increasing demands of customers. This situation is closely related to constantly evolving technical and technological industries. The rapidly increasing demand on products and variety of functional properties enabled a series of fast-growing and emerging processes and operations all over the industry. Unfortunately for companies, such variety results with a complexity of both, products and related processes. This paper deals with the external-product and internal-process complexity in the view of its usability within a mass customized manufacturing. A novel method to identify and measure product and process complexity of an assembly station is proposed on the basis of the number of product and process variants. Subsequently, the aggregated complexity ratios can provide a complexity map of an entire production line. The novel complexity assessment method is applied and verified on the case automotive manufacturing plant. As a result of this application, the newly-proposed complexity assessment methodology is highly useful especially in customized automotive production as an effective tool for assessing the level of complexity of a selected department, or when introducing a new installation. The newly-proposed methodology can be also adopted by a company to decide on what part or sub-module can be produced by external supplied—transfer of complexity—in order to decrease own process complexity and to keep the extent of variety offered to customers. Finally, based on the case application and verifications, the complexity assessment methodology proposed in this paper is highly applicable in the mass customized manufacturing.
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References
Fettermann DC, Soares Echveste ME (2014) New product development for mass customization: a systematic review. Prod Manufact Res 2(1):266–290
Hankammer S, Steiner F (2015) The sustainability potential of mass customization through product service systems in the consumer electronics industry. In: Procedia CIRP 30, pp 504–509. ISSN 2212-8271. doi:http://dx.doi.org/10.1016/j.procir.2015.03.007
Alan SB (2009) From simple rules, complex behavior. Mech Eng 131:22–27
Tiihonen J, Soininen T, Männistö T, Sulonen R (1996) State-of-the-practice in product configuration—a survey of 10 cases in the Finnish industry. Knowledge intensive CAD. Springer, US, pp 95–114
Klein R, Buchheit M, Nutt W (1994) Configuration as model construction: the constructive problem solving approach. In: Proceedings of artificial intelligence in design, pp 201–218
Mittal S, Frayman F (1989) Towards a generic model of configuration tasks. In: Proceedings of the eleventh IJCAI, pp 20–25
Najman O, Stein B (1992) A theoretical framework for configurations. In: Belli F, Radermacher F J (eds) Proceedings of industrial and engineering applications of artificial intelligence and expert systems: 5th international conference, IEA/AIE-92, pp 441–450
Aichner T, Coletti P (2013) Customers’ online shopping preferences in mass customization. J Dir Data Digital Mark Pract 15(1):20–35
Matt DT, Rauch E, Dallasega P (2016) Trends towards distributed manufacturing systems and modern forms for their design. In: Teti R (ed) International conference on intelligent computation in manufacturing engineering (ICME’15)—proceedings, Capri, Italy, vol 33, pp 185–190
Calinescu A, Efstathiou J, Schirn J, Bermejo J (1998) Applying and assessing two methods for measuring complexity in manufacturing. J Oper Res Soc, 723–733
Jiao J, Ma Q, Tseng MM (2003) Towards high value-added products and services: mass customization and beyond. Technovation 23(10):809–821
Liu XF, Kane G, Bambroo M (2006) An intelligent early warning system for software quality improvement and project management. J Syst Softw 79(11):1552–1564
Fredendall D, Gabriel TJ (2003) Manufacturing complexity: a quantitative measure. In: POMS conference—proceedings, 4–7 April, Savannah, GA
Shannon CEA (1948) Mathematical theory of communication. Bell Syst Tech J 27(3):379–423
Zhu X, Koren SJ, Marin SP (2008) Modeling of manufacturing complexity in mixed-model assembly lines. J Manuf Sci Eng 130(5):313–334
Kim YS (1999) A system complexity approach for the integration of product development and production system design. Master of Science, Massachusetts Institute of Technology
Krus P (2015) Design space configuration for minimizing design information entropy. In: Proceedings of the ICoRD’15—research into design across boundaries: theory, research methodology, aesthetics, human factors and education, 7–9 Jan. Springer India, pp 51–60
Chramcov B, Bucki R, Suchanek P (2013) Logistic optimization of the complex manufacturing system with parallel production lines. J Appl Econ Sci (JAES) 3(25):271–285
Kampker A, Burggräf P, Swist M, Nowacki C (2014) Assessment and configuration of a product production system. In: Enabling manufacturing competitiveness and economic sustainability. Springer International Publishing, pp 147–152
Grussenmeyer R, Blecker T (2013) Requirements for the design of a complexity management method in new product development of integral and modular products. Int J Eng Sci Technol 5(2):132–149
Modrak V, Marton D (2012) Modelling and complexity assessment of assembly supply chain systems. In: Procedia Engineering, vol 48, pp 428–435
Modrak V, Marton D, Kulpa W, Hricova R (2012) Unraveling complexity in assembly supply chain networks. In: 2012 4th IEEE international symposium on logistics and industrial informatics (LINDI), pp 151–156
Wang H (2010) Product variety induced complexity and its impact on mixed-model assembly systems and supply chains. Doctoral dissertation, General Motors
Modrak V, Marton D, Bednar S (2015) The influence of mass customization strategy on configuration complexity of assembly systems. In: Procedia CIRP, vol 33, pp 538–543
Modrak V, Marton D, Bednar S (2014) The impact of customized variety on configuration complexity of assembly process. Appl Mech Mater 474:135–140
Bednar S, Modrak V (2014) Mass customization and its impact on assembly process’ complexity. Int J Qual Res 8(3):417–430
Suh NP (2005) Complexity in engineering. CIRP Ann Manufact Technol 54(2):46–63
Guenov MD (2002) Complexity and cost effectiveness measures for systems design. In: Manufacturing complexity network conference, Cambridge, UK. ISBN 1-902546-24-5
Modrak V, Bednar S (2015) Using axiomatic design and entropy to measure complexity in mass customization. In: Procedia CIRP, vol 34, pp 87–92
Blackenfelt M (2001) Managing complexity by product modularisation. Doctoral dissertation, Maskinkonstruktion. doi:http://kth.diva-portal.org/smash/get/diva2:8851/FULLTEXT01.pdf
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Bednar, S., Modrak, J., Soltysova, Z. (2017). Assessment of Assembly Process Complexity and Modularity in Mass Customized Manufacturing. In: Majstorovic, V., Jakovljevic, Z. (eds) Proceedings of 5th International Conference on Advanced Manufacturing Engineering and Technologies. NEWTECH 2017. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-56430-2_17
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DOI: https://doi.org/10.1007/978-3-319-56430-2_17
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