Abstract
The paper presents results of empirical research, which explores systemic background of increasing turbulences and disruptions within globally distributed manufacturing networks. Among the identified factors three have biggest impact: (1) the level of completeness and connectivity of the networks, i.e. topological characteristics of the manufacturing network (2) the herd behavior of clients and decision makers, which enhances or tames the demand due to occasional asymmetry of their perception of the demand (3) the diversity of operational environments within the network, which itself may be a dominant factor of turbulences or even disruptions of the operational processes. It means that in some circumstances, the internal resources of companies may have limited value as a countermeasure against the unlikely effects of turbulences and disruptions. The research has also identified some other factors of idiosyncratic behavior of globally distributed manufacturing, which are rooted in some particular operational policies.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Bhattacharya, R., Bandyopadhyay, S.: A review of the causes of bullwhip effect in a supply chain. The International Journal of Advanced Manufacturing Technology 54(9-12), 1245–1261 (2010)
Camerer, C., Loewenstein, G., Rabin, M. (eds.): Advances in behavioral economics, pp. 689–723. Princeton University Press, Princeton (2004)
Chopra, S., Sodhi, M.S.: Managing risk to avoid supply-chain breakdown. Sloan Management Review 46(1), 53–62 (2004)
Christopher, M., Holweg, M.: “Supply Chain 2.0”: managing supply chains in the era of turbulence. International Journal of Physical Distribution and Logistics Management 41(1), 63–82 (2011)
Croson, R., Donohue, K.: Behavioral causes of the bullwhip effect and the observed value of inventory information. Management Science 52(3), 323–336 (2006)
Dowell, A.: Effects of Triple Disaster Will Reverberate for Months. The Wall Street Journal (March 28, 2011)
Emery, F.E., Trist, E.L.: The causal texture of organizational environments. Human Relations 18(1), 21–32 (1965)
Fransoo, J., Wouters, M.: Measuring the bullwhip effect in the supply chain. Supply Chain Management: An International Journal, 5 5(2), 78–89 (2000)
Jüttner, U.: Supply chain risk management. Understanding the business requirements from a practitioner perspective. International Journal of Logistics Management 16(1), 120–141 (2005)
Kleindorfer, P.R., Saad, G.H.: Managing disruption risks in supply chains. Production and Operations Management 14(1), 53–68 (2006)
Pfohl, H.-C., Köhler, H., Thomas, D.: State of the art in supply chain risk management research: empirical and conceptual findings and a roadmap for the implementation in practice. Logistics Research 2(1), 33–44 (2010)
Schäfer, D.: Lack of parts hits VW production. Financial Times (January 20, 2011)
Sterman, J.D.: Misperceptions of feedback in dynamic decision making. Organizational Behavior and Human Decision Processes 43(3), 301–335 (1989)
Sterman, J.D.: Business dynamics. McGraw-Hill (2000)
Strzelczak, S.: Reducing turbulences in industrial supply chains. In: Koch, T. (ed.) Learn Business System and Beyond. LNBIP, vol. 257, pp. 393–402. Springer, Boston (2008)
Wagner, S.M., Bode, C.: An empirical investigation of supply chain performance along several dimensions of risk. Journal of Business Logistics 29(1), 307–325 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 IFIP International Federation for Information Processing
About this paper
Cite this paper
Strzelczak, S. (2013). Idiosyncratic Behavior of Globally Distributed Manufacturing. In: Emmanouilidis, C., Taisch, M., Kiritsis, D. (eds) Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services. APMS 2012. IFIP Advances in Information and Communication Technology, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40361-3_62
Download citation
DOI: https://doi.org/10.1007/978-3-642-40361-3_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40360-6
Online ISBN: 978-3-642-40361-3
eBook Packages: Computer ScienceComputer Science (R0)