SUPPLY CHAIN-GEARING UP FOR THE FUTURE? PROGNOSIS BASED ON SCENARIO PLANNING
Keywords:
Supply chain Overlap, DES, Global Supply Chain, Scenario Analyser, SimulationAbstract
This paper studies the risks and uncertainties surrounding global food supply chains and finds that “scenario planning” which is a popular tool used in other sectors for risk identification, is less widely used to identify risks within global food supply chains.
Presented in this paper is a review of available literature and a discussion with regards to the feasibility of using scenario planning to address food supply chain risks. The feasibility of using scenario planning at the strategic, tactical and operational level is also discussed.
Downloads
References
Albino V. and Garavelli A.C. (1999) Limited Flexibility in Cellular Manufacturing Systems: A Simulation Study. International Journal of Production Economics, 60/61, 447-455.
An C., Buckley S., Connors D., Feigin G. and Jayaraman R. (1994) Modeling and Simulation of Manufacturing and Distribution Networks, Proceedings of the TIMS/ORSA Conference, Boston.
Armstrong, Scott J. (1998), Forecasting Principles, Wharton School, University of
Pennsylvania [On-line] http://hops.wharton.upenn.edu/forecast/, May 4th 2004
Bell, Wendell (1997), Foundations of Futures Studies. New Brunswick: Transaction
Publishers.
Borenstein D. (2000) Implementation of An Object-Oriented Tool for the Simulation of Manufacturing Systems, International Journal of Production Research, 38 (9), 2125-2142.
Caprihan R. and Wadhwa S. (1997) Impact of Routing Flexibility on the Performance of An FMS A Simulation Study, International Journal of Flexible Manufacturing Systems, 9 (3), 273-298.
Calvin, William H. (1989), The Cerebral Symphony: Seashore Reflections on the
Structure of Consciousness, New York: Bantam Books.
Calvin, William H. (1991), The Ascent of Mind, New York: Bantam Books.
Cho H. and Wysk R.A. (1993) A Robust Adaptive Scheduler for an Intelligence Workstation Controller, International Journal of Production Research, 31 (4), 771-789.
Davis, Ged (August 27 2002), Scenarios: Exploring Societal Problems, Johannesburg:
IUCN Environment Centre. Drake G.R., Smith J.S. and Peters B.A. ( …
Ferguson L.A. (1998) Improving Global Supply Chain Management Decisions, Proceedings of the INFORMS Conference, Seattle.
Garg S., Vrat P. and Kanda A. (2001) Equipment Flexibility Vs. Inventory: A Simulation Study of Manufacturing Systems, International Journal of Production Economics, 70 (2), 125-143.
Harmonosky C.M. (1990) Implementation Issues Using Simulation for Real-Time Scheduling, Control, and Monitoring, Proceedings of the Winter Simulation Conference, New Orleans.
Law A. and Kelton W. (2000) Simulation Modeling and Analysis, McGraw-Hill, New York.
Pflughoeft K. and Hutchinson O.K. (1999) The Effects of Workstation Flexibility on the (NYN) Job Shop Problem, International Journal of Flexible Manufacturing Systems, 11 (1), 103-113
http://archive.ite.journal.informs.org/Vol4No2/TigerSalzer/index.php
