Forecasting and stock control: A study in a wholesaling context

Wholesalers add value to the products they deal with by essentially bringing them closer to the end consumers. In that respect, the effective control of stock levels becomes an important measure of operational performance especially in the context of achieving high customer service levels. In this paper, we address issues pertinent to forecasting and inventory management in a wholesaling environment and discuss the recommendations proposed in such a context in a case study organization. Our findings demonstrate the considerable scope that exists for improving current practices and offers insights into possible managerial issues.

[1]  Nezih Altay,et al.  Adapting Wright’s modification of Holt’s method to forecasting intermittent demand , 2008 .

[2]  Ruud H. Teunter,et al.  On the bias of Croston's forecasting method , 2009 .

[3]  J. Michael Pearson,et al.  The application of prediction capability and adaptive target control to the newspaper business , 2006, Eur. J. Oper. Res..

[4]  David F. Pyke,et al.  Inventory management and production planning and scheduling , 1998 .

[5]  R. Fildes,et al.  The effects of integrating management judgement into intermittent demand forecasts , 2009 .

[6]  Brian G. Kingsman,et al.  Forecasting for the ordering and stock-holding of spare parts , 2004, J. Oper. Res. Soc..

[7]  Cornelia Dröge,et al.  Wholesale operations and vendor evaluation , 1990 .

[8]  Yunzeng Wang,et al.  Identifying Opportunities for Improving Teradyne's Service-Parts Logistics System , 1999, Interfaces.

[9]  J. Boylan The centralisation of inventory and the modelling of demand , 1997 .

[10]  T. Willemain,et al.  Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method , 1994 .

[11]  J. Boylan,et al.  The accuracy of intermittent demand estimates , 2005 .

[12]  Aris A. Syntetos,et al.  On the categorization of demand patterns , 2005, J. Oper. Res. Soc..

[13]  Aris A. Syntetos,et al.  Reply to Kostenko and Hyndman , 2006, J. Oper. Res. Soc..

[14]  Helmut Schneider,et al.  Empirical study of a new procedure for allocating safety stock in a wholesale inventory system , 1991 .

[15]  Brian G. Kingsman,et al.  Selecting the best periodic inventory control and demand forecasting methods for low demand items , 1997 .

[16]  Fraser Dunford,et al.  Forecasting for Inventory Control: An Example of When “Simple” Means “Better” , 1986 .

[17]  Rajesh Piplani,et al.  Forecasting aggregate time series with intermittent subaggregate components: top-down versus bottom-up forecasting , 2007 .

[18]  Aris A. Syntetos,et al.  Classification for forecasting and stock control: a case study , 2008, J. Oper. Res. Soc..

[19]  Graham K. Rand,et al.  Inventory Management and Production Planning and Scheduling (Third Edition) , 2001, J. Oper. Res. Soc..

[20]  Rommert Dekker,et al.  An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods , 2008, Eur. J. Oper. Res..

[21]  F. Johnston An Interactive Stock Control System with a Strategic Management Role , 1980 .

[22]  J. Boylan,et al.  On the bias of intermittent demand estimates , 2001 .

[23]  T. A. Burgin,et al.  The Gamma Distribution and Inventory Control , 1975 .

[24]  T. A. Burgin,et al.  Stock Control—Experience and Usable Theory , 1967 .

[25]  Chandrasekhar Das,et al.  Manufacturer selection and price negotiation for competitive wholesale distribution operations , 1999 .

[26]  John E. Boylan,et al.  The accuracy of a Modified Croston procedure , 2007 .

[27]  R. Quintana,et al.  Lumpy demand forecasting using neural networks , 2001, PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199).

[28]  Paul R. Kleindorfer,et al.  Optimizer: IBM's Multi-Echelon Inventory System for Managing Service Logistics , 1990 .

[29]  J. D. Croston Forecasting and Stock Control for Intermittent Demands , 1972 .

[30]  M. Z. Babai,et al.  Demand categorisation in a European spare parts logistics network , 2009 .

[31]  John E. Boylan,et al.  Use of individual and group seasonal indices in subaggregate demand forecasting , 2007, J. Oper. Res. Soc..

[32]  Anders Segerstedt,et al.  Inventory control with a modified Croston procedure and Erlang distribution , 2004 .

[33]  Brian G. Kingsman,et al.  Setting stock levels for wholesaling: Performance measures and conflict of objectives between supplier and stockist , 1985 .

[34]  Sven F. Crone,et al.  Forecasting and operational research: a review , 2008, J. Oper. Res. Soc..

[35]  Suraj M. Alexander Discovering and Correcting Problems in a Naval Stock Control System , 1985 .