Abstract
The majority of the current product configurators defined for the small or medium-sized enterprise one-of-a-kind production (SME OKP) with the dominant variation of the product by typology are derived from the assemble-to-order (ATO) production configurators. Unfortunately, they do not provide the customers with the possibility to adjust the products to their specific needs and further configuration-related actions through specialized software interfaces are required. On the basis of a detailed 1-year-long customer behavior tracking and analysis, the following key issues of the actual configurators have been defined: a low degree of the product adjustment, the complexity of the process of modeling the adjusted product, the extension of the leading time, a separated process of modeling, and the establishment of the communication channel between the customer and the manufacturer in the real time. The proposed solution is based on integrating the existing configurators into one common software application. It should act mainly as the necessary real-time communication channel between the customer and manufacturer in order to alleviate the effects of the product complex paradox. With this concept, the reduction of the leading time is observed as the additional positive effect. The case study illustrates the basic principles and technology required for the practical realization of the proposed solution for the configuration processes of the products in the SME OKP for the PVC windows manufacturing in the hybrid manufacturing cloud environment.
Similar content being viewed by others
References
Anderson DM (2014) Design for Manufacturability: How to Use Concurrent Engineering to Rapidly Develop Low-Cost, High-Quality Products for Lean Production (Productivity Press)
Gitman LJ, McDaniel C (2008) The future of business: The essentials to building your career (Mason, OH: Cengage Learning)
Jiao J, Zhang Y, Helander M (2006) A Kansei mining system for affective design. Expert Syst with Appl 30:658–673
Risdiyono, Koomsap P (2010) Customer Involvement in Value Creation. In In Proceedings of the 11th Asia Pacific Industrial and Management Systems Conference, (Melaka, Malaysia)
Risdiyono KP (2013) Design by customer: concept and applications. J Intell Manuf 24:295–311. doi:10.1007/s10845-011-0587-4
Aleksić DS, Janković DS, Stoimenov LV (2012) A case study on the object-oriented framework for modeling product families with the dominant variation of the topology in the one-of-a-kind production. Int J Adv Manuf Technol 59:397–412
Gourville JT, Soman D (2005) Overchoice and assortment type: when and why variety backfires. Mark Sci 24:382–395
Huffman C (1998) B.E. Kahn. Variety for sale: mass customization or mass confusion? J Retail 74:491–513
Trentin A, Perin E, Forza C (2013) Sales configurator capabilities to avoid the product variety paradox: construct development and validation. Comput Ind 64:436–447. doi:10.1016/j.compind.2013.02.006
Salvador F, Forza C (2007) Principles for efficient and effective sales configuration design. Int J Mass Cust 2:114–127
Forza C, Salvador F (2008) Application support to product variety management. Int J Prod Res 46:817–836
Haug A, Hvam L, Mortensen NH (2012) Definition and evaluation of product configurator development strategies. Comput Ind 63:471–481
Hoekstra S (1992) JR and SMA. Integral logistic structures: developing customer-oriented goods flow. McGraw-Hill, London
Wortmann JC, Munstlag DR, Timmermans PJM (1997) Customer-driven manufacturing. Chapman & Hall, London
Christopher M (1998) Logistics and supply chain management: strategies for reducing cost and improving service. Int J Logist Res Appl 2:103–104
Olhager J (2003) Strategic positioning of the order penetration point. Int J Prod Econ 85:319–329. doi:10.1016/S0925-5273(03)00119-1
Rudberg M, Wikner J (2004) Mass customization in terms of the customer order decoupling point. Prod Plan Control 15:445–458
Shingo, S. (1981) Study of Toyota Production System from Industrial Engineering Viewpoint (Tokio: Japan Management Association)
Sharman G (1984) The rediscovery of logistics. Harv Bus Rev 62:71–80
Olhager J, Ostlund B (1990) An integrated push–pull. Manufacturing strategy. Eur J Oper Res 45:135–142
Wikner J, Rudberg M (2005) Integrating production and engineering perspectives on the customer order decoupling point. Int J Oper Prod Manag 25:623–641. doi:10.1108/01443570510605072
Wang F, Lin J, Liu X (2010) Three-dimensional model of customer order decoupling point position in mass customisation. Int J Prod Res 48:3741–3757. doi:10.1080/00207540902865746
Wortmann JC (1992) Factory of the future : towards an integrated theory for one- of-a-kind production. IFIP Trans B-APPLICATIONS Technol 2:37–74
Tu Y (1997) Production planning and control in a virtual one-of-a-kind production company. Comput Ind 34:271–283. doi:10.1016/S0166-3615(97)00046-8
Tseng MM, Piller FT (2003) The customer centric enterprise: advances in mass customization and personalization. Springer, New York, NY
Tu Y, Chu X, Yang W (2000) Computer aided process planning in virtual one-of-a-kind production. Comput Ind 41:99–110
Jiao J, Tseng MM (2004) Customizability analysis in design for mass customization. CAD Comput Aided Des 36:745–757. doi:10.1016/j.cad.2003.09.012
Mukhopadhyay SK, Setoputro R (2005) Optimal return policy and modular design for build-to-order products. J Oper Manag 23:496–506. doi:10.1016/j.jom.2004.10.012
Siddique Z, Ninan JA (2006) Modeling of modularity and scaling for integration of customer in design of engineer-to-order products. Integr Comput Aided Eng 13:133–148
Shao X-Y, Wang Z-H, Li P-G, Feng C-XJ (2006) Integrating data mining and rough set for customer group-based discovery of product configuration rules. Int J Prod Res 44:2789–2811. doi:10.1080/00207540600675777
Li W, Nault BR, Xue D, Tu Y (2011) An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production. Comput Oper Res 38:267–276. doi:10.1016/j.cor.2010.05.002
Brabazon PG, MacCarthy BL (2004) Virtual-build-to-order as a mass customization order fulfilment model. Concurr Eng 12:155–165. doi:10.1177/1063293X04044379
Frutos JD, Santos ER, Borenstein D (2004) Decision support system for product configuration in mass customization environments. Concurr Eng 12:131–144. doi:10.1177/1063293X04044382
Bateman RJ, Cheng K (2006) Extending the product portfolio with “devolved manufacturing”: methodology and case studies. Int J Prod Res 44:3325–3343. doi:10.1080/00207540500536947
Dean PR, Tu YL, Xue D (2009) An information system for one-of-a-kind production. Int J Prod Res 47:1071–1087. doi:10.1080/00207540701543593
Hong G, Xue D, Tu Y (2010) Rapid identification of the optimal product configuration and its parameters based on customer-centric product modeling for one-of-a-kind production. Comput Ind 61:270–279. doi:10.1016/j.compind.2009.09.006
Barnett L, Rahimifard S, Newman S (2004) Distributed scheduling to support mass customization in the shoe industry. Int J Comput Integr Manuf 17:623–632. doi:10.1080/09511920412331292628
Comstock M, Johansen K, Winroth M (2004) From mass production to mass customization: enabling perspectives from the Swedish mobile telephone industry. Prod Plan Control 15:362–372. doi:10.1080/0953728042000238836
Franke N, Piller TF (2002) Configuration Toolkits for Mass Customization Setting a Research Agenda Configuration Toolkits for Mass Customization : Setting a Research Agenda. 33
Salvador F, Forza C (2004) Configuring products to address the customization-responsiveness squeeze: a survey of management issues and opportunities. Int J Prod Econ 91:273–291
Forza C, Salvador F (2007) Product information management for mass customization. Palgrave Macmillan, New York
Paunu P, Mäkipää M (2011) Design configurators in a project business. In: Bridging mass customization & open innovation. Proc. World Conf. Mass Cust. Pers. Co-Creation, Raleigh: p. 44
Mell P, Grance T (2011) The NIST definition of cloud computing recommendations of the National Institute of Standards and Technology. Nist Spec Publ 145:7. doi:10.1136/emj.2010.096966
Mell P (2009) Grance T. Perspectives on cloud computing and standards, Natl Inst Stand Technol
Wang XV, Xu XW (2013) An interoperable solution for cloud manufacturing. Robot Comput Integr Manuf 29:232–247. doi:10.1016/j-rcim.2013.01.005
Apple (2017) iCloud . https://developer.apple.com/icloud/ Accessed 8 Mar 2017
Amazon (2017) AWS. https://aws.amazon.com/getting-started/projects/ Accessed March 8, 2017).
Google (2017) Google App Engine—Google Code n.d. https://cloud.google.com/products/ Accessed 8 March 2017
Microsoft (2017) Windows Azure Platform _ Microsoft Cloud Services n.d. https://azure.microsoft.com/en-us/services/app-service/ Accessed March 8, 2017
Oracle (2017) Sun Cloud Developer Homepage . https://www.oracle.com/cloud/index.html Accessed 8 Mar 2017
Xu X (2012) From cloud computing to cloud manufacturing. Robot Comput Integr Manuf 28:75–86. doi:10.1007/978-3-642-35197-6_34
Porter K, Little D, Peck M, Rollins R (1999) Manufacturing classifications: relationships with production control systems. Integr Manuf Syst 10:189–199. doi:10.1108/09576069910280431
Scott B (1994) Manufacturing planning systems. McGraw-Hill, Maidenhead
Google Analytics (2017) https://www.google.com/analytics/analytics/#?modal_active=none Accessed 8 Mar 2017
Haug A, Hvam L, Mortensen NH (2011) The impact of product configurators on lead times in engineering-oriented companies. Artif Intell Eng Des Anal Manuf 25:197–206. doi:10.1017/S0890060410000636
The Java EE (2017) 6 Tutorial. http://docs.oracle.com/javaee/6/tutorial/doc/bnaay.html Accessed 8 Mar 2017
Enterprise JavaBeans Technology (2017) http://www.oracle.com/technetwork/java/javaee/ejb/index.html Accessed 8 Mar 2017
Ardissono L, Felfernig A, Friedrich G, Goy A, Jannach D, Petrone G et al (2003) A framework for the development of personalized. Distributed Web-Based Configuration Systems AI Mag 24:93. doi:10.1609/aimag.v24i3.1721
Kendo UI (2017) http://www.telerik.com/kendo-ui Accessed 8 Mar 2017
GlassFish (2017) https://glassfish.java.net/documentation.html Accessed 8 Mar 2017
Relational Persistence for Java and .NET (2017) http://hibernate.org/orm/ Accessed 19 Feb 2017
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Aleksic, D.S., Jankovic, D.S. & Rajkovic, P. Product configurators in SME one-of-a-kind production with the dominant variation of the topology in a hybrid manufacturing cloud. Int J Adv Manuf Technol 92, 2145–2167 (2017). https://doi.org/10.1007/s00170-017-0286-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-017-0286-1