DOI: https://doi.org/10.9744/jti.16.2.113-120

On the Effect of Combination of Statistical and Judgemental Stock Control Methods

Inna Kholidasari

Abstract


Stock control is the most important aspect in an inventory system. It determines the safety stock in order to ensure that products are readily available when the customers require them. The decision makers in organizations tend to rely on software solution in obtaining stock control solutions since they have to manage a massive number of Stock Keeping Units (SKUs). However, managers intervene in the system and use their judgement to adjust or decide on various quantitative elements. This research discusses the effects of combination of stock control methods. An extended database of approximately 1,800 SKUs from an electronics company is analyzed. Then, a simulation experiment is performed in order to evaluate in a dynamic fashion what are the effects of applying combined stock control methods. The findings indicate that the combined method of stock control seems to improve the performance of the inventory system, especially in reducing inventory investment.

Keywords


Stock control, judgemental adjustment, combine methods

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References


  1. Goodwin, P., Integrating Management Judgment and Statistical Methods to Improve Short-term Forecasts. Omega, 30, 2002, pp 127-135[CrossRef]

  2. Yaniv, I. (2004). Receiving other People’s Advice: Influence and Benefit. Organizational Behavior and Human Decision Processes, 93, 1-13.[CrossRef]

  3. Sanders, N. R., and Manrodt, K. B., Forecasting Practices in US Corporations: Survey Results. Interfaces, 24, pp. 92-100.[CrossRef]

  4. Klassen, R. D., and Flores, B. E., Forecasting Practices of Canadian Firms: Survey Results and Comparison. International Journal of Production Economics, 70, 2001, pp. 163-174. [CrossRef]

  5. Goodwin, P., Correct or Combine? Mechanically Integrating Judgemental Forecasts with Statistical Methods. International Journal of Forecasting, 16, 2000a, pp. 261–275.[CrossRef]

  6. Goodwin, P., Improving the Voluntary Integration of Statistical Forecasts and Judgment. International Journal of Forecasting, 16, 2000b, pp. 85-99.[CrossRef]

  7. Hibon, M., and Evgeniou, T., To Combine or not to Combine: Selecting among Forecasts and Their Combinations. International Journal of Forecasting, 21, 2005, pp. 15-24.[CrossRef]

  8. Boylan, J. E., and Johnston, F. R. Optimality and Robustness of Combinations of Moving Averages. Journal of the Operational Research Society, 54, 2003, pp. 109-115.[CrossRef]

  9. Kolassa S., Schütz W., Syntetos A. A., and Boylan, J. E., Judgemental Changes to Retail Sales Forecasts and Automatic Orders. Paper Presented at the 28th International Symposium on Forecasting; 22-25 June 2008; Nice, France.

  10. Ancarani, A., Di Mauro, C., and D’Urso, D., A Human Experiment on Inventory Decisions under Supply Uncertainty. International Journal of Production Economics, 142, 2013, pp. 61-73.[CrossRef]

  11. Adenso-Diaz, B., Moreno, P., Gutierrez, E., and Lozano, S., An Analysis of the Main Factors Affecting Bullwhip in Reverse Supply Chains, International Journal of Production Economic, 135, 2012, pp. 917-928.[CrossRef]

  12. Mileff, P. and Nehéz, K., An Extended Newsvendor Model for Customized Mass Production. Advanced Modeling and Optimization, 8, 2006, pp. 169-186.

  13. Croson, R., and Donohue, K., Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory Information. Management Science, 52, 2006, pp. 323-336.[CrossRef]

  14. Anderson Jr, E. G., and Morrice, D. J., A Simulation Game for Teaching Service-oriented Supply Chain management: Does Information Sharing Help Managers with Service Capacity Decisions?. Production and Operations Management, 9, 2000, pp. 40-55.[CrossRef]

  15. Bunn, D., and Wright, G., Interaction of Judgemental and Statistical Forecasting Methods: Issues and Analysis. Management Science, 37, 1991, pp. 501-518.[CrossRef]

  16. Syntetos, A. A., Georgantzas, N. C., Boylan, J. E., and Dangerfield, J. E. Judgement and Supply Chain Dynamics. Journal of the Operational Research Society, 62, 2011, 1138-1158[CrossRef]

  17. Goodwin, P., Statistical Correction of Judgemental Point Forecasts and Decisions. Omega, 24 (5), 1996, pp. 551-559[CrossRef]

  18. Syntetos, A. A., and Boylan, J. E., Demand Forecasting Adjustments for Service-level Achievement. Journal of Management Mathematics, 19, 2008, 175-192.

  19. Law, A. M., Simulation Model's Level of Detail Determines Effectiveness. Industrial Engineering, 23, 1991, pp. 16-18.

  20. Robinson, S., Conceptual Modelling for Simulation Part I: Definition and Requirements. Journal of the Operational Research Society, 59, 2008, pp. 278-290.[CrossRef]

  21. Syntetos, A. A., Nikolopoulos, K., Boylan, J. E., Fildes, R., and Goodwin, P. The Effects of Integrating Management Judgement into Intermittent Demand Forecast. International Journal of Production Economics, 118, 2009, 72-81.[CrossRef]

  22. Goodwin, P., Correct or Combine? Mechanically Integrating Judgemental Forecasts with Statistical Methods. International Journal of Forecasting, 16, 2000, pp. 261–275.[CrossRef]

  23. Syntetos, A. A., Nikolopoulos, K., Boylan, J. E., Fildes, R., and Goodwin, P. The Effects of Integrating Management Judgement into Intermittent Demand Forecast. International Journal of Production Economics, 118, 2009, pp. 72-81.[CrossRef]

  24. Zeigler, B. P., Theory of Modelling and Simulation. John Wiley and Sons, Inc. New York, 1976.

  25. Law, A. M., Simulation Model's Level of Detail Determines Effectiveness. Industrial Engineering, 23, 1991,pp. 16-18.

  26. Pidd, M., Tools for Thinking: Modelling in Management Science, 2nd Edition, Wiley: Chichester, UK., 2003.

  27. Robinson, S., Conceptual Modelling for Simulation Part I: Definition and Requirements. Journal of the Operational Research Society, 59, 2008, pp. 278-290.[CrossRef]




DOI: https://doi.org/10.9744/jti.16.2.113-120

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