Sensing endogenous seasonality in the case of a coffee supply chain

References

• Blackhurst, J., K. S. Dunn, and C. W. Craighead. 2011. “An Empirically Derived Framework of Global Supply Resiliency.” Journal of Business Logistics 32 (4): 374–391. doi: 10.1111/j.0000-0000.2011.01032.x
   Web of Science ®Google Scholar
• Burbidge, J. L. 1994. “The Use of Period Batch Control (PBC) in the Implosive Industries.” Production Planning & Control: The Management of Operations 5 (1): 97–102. doi: 10.1080/09537289408919475
   Web of Science ®Google Scholar
• Cachon, G. P. 1999. “Managing Supply Chain Demand Variability with Scheduled Ordering Policies.” Management Science 45 (6): 843–856. doi: 10.1287/mnsc.45.6.843
   Web of Science ®Google Scholar
• Chatfield, C. 2004. The Analysis of Time Series: An Introduction. Boca Raton,FL: CRC Press.
   Google Scholar
• Chen, L., and H. L. Lee. 2012. “Bullwhip Effect Measurement and Its Implications.” Operations Research 60 (4): 771–784. doi: 10.1287/opre.1120.1074
   Web of Science ®Google Scholar
• Chopra, S., and M. S. Sodhi. 2004. “Managing Risk to Avoid Supply-Chain Breakdown.” MIT Sloan Management Review 46 (1): 53–61.
   Web of Science ®Google Scholar
• Dejonckheere, J., S. Disney, M. Lambrecht, and D. R. Towill. 2003. “Measuring and Avoiding the Bullwhip Effect: A Control Theoretic Approach.” European Journal of Operational Research 147 (3): 567–590. doi: 10.1016/S0377-2217(02)00369-7
   Web of Science ®Google Scholar
• de Kok, T., F. Janssen, J. V. Doremalen, E. V. Wachem, M. Clerkx, and W. Peeters. 2005. “Philips Electronics Synchronizes Its Supply Chain to End the Bullwhip Effect.” Interfaces 35 (1): 37–48. doi: 10.1287/inte.1040.0116
   Web of Science ®Google Scholar
• Forrester, J. W. 1961. Industrial Dynamics. Cambridge,MA: MIT Press.
   Google Scholar
• Fransoo, J. C., and M. J. F. Wouters. 2000. “Measuring the Bullwhip Effect in the Supply Chain.” Supply Chain Management: An International Journal 5 (2): 78–89. doi: 10.1108/13598540010319993
   Google Scholar
• Haeckel, S. H. 1999. Adaptive Enterprise: Creating and Leading Sense-And-Respond Organizations. Boston: HBS Press.
   Google Scholar
• Hejazi, A., and O. P. Hilmola. 2006. “Manufacturing lot Sizing as a Source of the Bullwhip Effect: a Case Study of Electronics and Furniture Supply Chains.” International Journal of Services and Operations Management 2 (3): 237–255. doi: 10.1504/IJSOM.2006.009859
   Google Scholar
• Herrmann, S., H. Rogers, M. Gebhard, and E. Hartmann. 2015. “Impact of Information Integration on Decision-Making in a Supply Chain Network.” Production Planning & Control 26 (12): 981–993. doi: 10.1080/09537287.2014.1002023
   Web of Science ®Google Scholar
• Holland, W., and M. S. Sodhi. 2004. “Quantifying the Effect of Batch Size and Order Errors on the Bullwhip Effect Using Simulation.” International Journal of Logistics 7 (3): 251–261. doi: 10.1080/13675560412331298518
   Google Scholar
• Hussain, M., and H. Saber. 2012. “Exploring the Bullwhip Effect Using Simulation and Taguchi Experimental Design.” International Journal of Logistics Research and Applications 15 (4): 231–249. doi: 10.1080/13675567.2012.710599
   Web of Science ®Google Scholar
• Jaksic, M., and B. Rusjan. 2008. “The Effect of Replenishment Policies on the Bullwhip Effect: A Transfer Function Approach.” European Journal Of Operational Research 184 (3): 946–961. doi: 10.1016/j.ejor.2006.12.018
   Web of Science ®Google Scholar
• Kaipia, R., H. Korhonen, and H. Hartiala. 2006. “Planning Nervousness in a Demand Supply Network: an Empirical Study.” The International Journal of Logistics Management 17 (1): 95–113. doi: 10.1108/09574090610663455
   Google Scholar
• Keogh, E., and S. Kasetty. 2003. “On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration.” Data Mining and Knowledge Discovery 7 (4): 349–371. doi: 10.1023/A:1024988512476
   Web of Science ®Google Scholar
• Kim, I., and M. Springer. 2008. “Measuring Endogenous Supply Chain Volatility: Beyond the Bullwhip Effect.” European Journal of Operational Research 189 (1): 172–193. doi: 10.1016/j.ejor.2007.05.012
   Web of Science ®Google Scholar
• Lee, H., and O. Özer. 2007. “Unlocking the Value of RFID.” Production and Operations Management 16 (1): 40–64. doi: 10.1111/j.1937-5956.2007.tb00165.x
   Web of Science ®Google Scholar
• Lee, H. L., V. Padmanabhan, and S. Wang. 1997. “The Bullwhip Effect in Supply Chains.” Sloan Management Review 38 (3): 93–102.
   Google Scholar
• Liao, T. W. 2005. “Clustering of Time Series Data – A Survey.” Pattern Recognition 38 (11): 1857–1874. doi: 10.1016/j.patcog.2005.01.025
   Web of Science ®Google Scholar
• McCullen, P., and D. R. Towill. 2002. “Diagnosis and Reduction of Bullwhip in Supply Chains.” Supply Chain Management: An International Journal 7 (3): 164–179. doi: 10.1108/13598540210436612
   Google Scholar
• Metters, R. 1997. “Quantifying the Bullwhip Effect in Supply Chains.” Journal of Operations Management 15: 89–100. doi: 10.1016/S0272-6963(96)00098-8
   Google Scholar
• Miragliotta, G. 2006. “Layers and Mechanisms: A New Taxonomy for the Bullwhip Effect.” International Journal of Production Economics 104 (2): 365–381. doi: 10.1016/j.ijpe.2005.10.001
   Web of Science ®Google Scholar
• Paik, S. K., and P. K. Bagchi. 2007. “Understanding the Causes of the Bullwhip Effect in a Supply Chain.” International Journal of Retail & Distribution Management 35 (4): 308–324. doi: 10.1108/09590550710736229
   Google Scholar
• Potter, A., and S. M. Disney. 2006. “Bullwhip and Batching: An Exploration.” International Journal of Production Economics 104 (2): 408–418. doi: 10.1016/j.ijpe.2004.10.018
   Web of Science ®Google Scholar
• Purvis, L., S. Spall, M. M. Naim, and V. Spiegler. 2016. “Developing a Resilient Supply Chain Strategy During ‘Boom’ and ‘Bust’.” Production Planning and Control 27 (7–8): 579–590.
   Web of Science ®Google Scholar
• Shukla, V., and M. M. Naim. 2015. “Rogue Seasonality in Supply Chains: an Investigation and a Measurement Approach.” Journal of Manufacturing Technology Management 26 (3): 364–389. doi: 10.1108/JMTM-09-2013-0118
   Web of Science ®Google Scholar
• Shukla, V., M. M. Naim, and N. F. Thornhill. 2012. “Rogue Seasonality Detection in Supply Chains.” International Journal of Production Economics 138 (2): 254–272. doi: 10.1016/j.ijpe.2012.03.026
   Web of Science ®Google Scholar
• Spiegler, V. L. M., and M. M. Naim. 2017. “Investigating Sustained Oscillations in Nonlinear Production and Inventory Control Models.” European Journal of Operational Research 261 (2): 572–583. doi: 10.1016/j.ejor.2017.02.010
   Web of Science ®Google Scholar
• Springer, M., and I. Kim. 2010. “Managing the Order Pipeline to Reduce Supply Chain Volatility.” European Journal of Operational Research 203 (2): 380–392. doi: 10.1016/j.ejor.2009.08.009
   Web of Science ®Google Scholar
• Sterman, J. 1989. “Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment.” Management Science 35 (3): 321–339. doi: 10.1287/mnsc.35.3.321
   Web of Science ®Google Scholar
• Taylor, D. H. 1999. “Measurement and Analysis of Demand Amplification Across the Supply Chain.” The International Journal of Logistics Management 10 (2): 55–70. doi: 10.1108/09574099910805996
   Google Scholar
• Taylor, D. H., and A. Fearne. 2009. “Demand Management in Fresh Food Value Chains: a Framework for Analysis and Improvement.” Supply Chain Management: An International Journal 14 (5): 379–392. doi: 10.1108/13598540910980297
   Web of Science ®Google Scholar
• Thornhill, N. F., and M. M. Naim. 2006. “An Exploratory Study to Identify Rogue Seasonality in a Steel Company’s Supply Network Using Spectral Principal Component Analysis.” European Journal of Operational Research 172 (1): 146–162. doi: 10.1016/j.ejor.2004.09.044
   Web of Science ®Google Scholar
• Torres, O. A. C., and F. A. V. Moran. 2006. “Managing the Bullwhip Effect Through Benchmarking.” In The Bullwhip Effect in Supply Chains: A Review of Methods, Components and Cases, edited by O. A. C. Torres, and F. A. V. Moran, 215–242. New York: Palgrave Macmillan.
   Google Scholar