Abstract
Many companies no longer act locally within their domestic markets, but have established a global network of worldwide production sites. Due to the long and diversified structures of supply chains and differences in the maturity levels of suppliers, distributed networks develop various fluctuations, in terms of varying product quality and delivery times, which can result in image loss and financial losses to the companies of the network. Moreover, an improperly implemented quality strategy in a network will result in higher costs. The preliminary idea is to make these networks insensitive to such fluctuations by identifying and evaluating suitable quality strategies. Due to the absence of site-specific optimization and the complex structures of networks, it is difficult to find suitable quality strategies for production networks. The complexity in the networks includes unknown defect propagation, limited influence due to decentralized structures and conflicting objectives and unknown inter-relationships amongst the various supply chain members. The research project IQ.net deals with these problems by developing innovative methods, models and practical tools for planning, optimization and control of quality strategies for globally distributed production networks, thus obtaining zero-defect production networks. This chapter aims to discuss various aspects of IQ.net including, the definition of quality in networks, the analysis and evaluation of various systems for managing network-wide quality data considering local versus global data, as well as, three core methods to identify robust quality strategies for specific network configurations.
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References
Memedovic, O.: Inserting local industries into global value chains and global production networks. SME Technical Working Paper Series, Working Paper, UNIDO, Vienna (2004)
Book, J., Lanza, G.: Quality strategies for global supply chains. Working paper for GCOM conference, Lyon, France (2011)
Creazza, A., Dallari, F., Melacini, M.: Evaluating logistics network configurations for a global supply chain. Supply Chain Manag. Int. J. 15(2), 154–164 (2010)
Dreyer, H., Alfnes, E., Strandhagen, J.O., Thomassen, M.K.: Global supply chain control systems: a conceptual framework for the global control centre. Prod. Planning Control 20(2), 147–157 (2009)
Reefke, H., Sundaram, D., Ahmed, M.D.: Maturity progression model for sustainable supply chains. Lecture Notes in Business Information Processing 46 LNBI, pp. 308–319 (2010)
Book, J., Lanza, G.: Modeling and simulation of quality control strategies in value-added-networks under consideration of individual target systems and product characteristics using software agents. In: Proceedings of 44th CIRP conference (2011)
Hanselmann, M., Roman, S.: Qualitätsfähigkeit : eine praxisorientierte Anleitung zum Aufbau von Total-quality-Management in mittelgrossen Unternehmen (German). Haupt, Bern. ISBN: 3-258-05298-0 (1996)
Eickelpasch, A., Lejpras, A., Stephan, A.: Hard and soft locational factors, innovativeness and firm performance: an empirical test of porter's diamond model at the micro-level, Discussion papers of DIW 723, Berlin, pp. 1–26 (2007)
Sarhangian, V., Vaghefi A., Eskandari, H., Ardakani, M.K.: Optimizing inspection strategies for multi-stage manufacturing processes using simulation optimization. Winter Simulation Conference, vol. 15, pp. 1974–1980 (2008)
Bowersox, D.J., Closs, D.J., Cooper, M.B.: Supply Chain Logistics Management. McGraw-Hill/Irwin, Boston (2002)
Heid, T.: Begriff der Logistik, logistische Systeme und Prozesse (German). Handbuch Logistik, Springer, Berlin, pp. 3–34 (2008)
Rushton, A.: The Handbook of Logistics and Distribution Management. Kogan Page, London (2009)
Macal, C.M., North, M.J.: Tutorial on agent-based modeling and simulation part 2: how to model with agents. In: Proceedings of the 2005 winter simulation conference, pp. 73–83, Association for Computing Machinery, Piscataway (NY) (2005)
Wooldridge, M.: Intelligent Agents: The Key Concepts. Springer, Berlin (2002)
Giannakis, M., Louis, M.: A multi-agent based framework for supply chain risk management. J. Purch. Supply Manag. 17(1), 23–31. Elsevier (2011)
Kull, T.J., Wacker, J.G.: Quality management effectiveness in Asia: the influence of culture. J. Oper. Manag. Band 28(3), 223–239 (2010)
Volsem, S.V., Dullaert, W., Landeghem, H.V.: An evolutionary algorithm and discrete event simulation for optimizing inspection strategies for multistage processes. Eur. J. Oper. Res. 179, 621–633 (2007)
Choi, T.Y.; Rungtusanatham, M.: Comparison of quality management practices: across the supply chain and industries. J. Supply Chain Manag. Band 35(1), 20–27 (1999)
Acknowledgments
The IGF promotion plan 17219N of the Research Community for Quality (FQS), August-Schanz-Str. 21A, 60433 Frankfurt/Main has been funded by the AiF within the programme for sponsorship by Industrial Joint Research and Development (IGF) of the German Federal Ministry of Economic Affairs and Technologies based on an enactment of the German Parliament.
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Lanza, G., Book, J., Kippenbrock, K., Saxena, A. (2013). Innovative Quality Strategies for Global Value-Added-Networks. In: Windt, K. (eds) Robust Manufacturing Control. Lecture Notes in Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30749-2_20
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DOI: https://doi.org/10.1007/978-3-642-30749-2_20
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