Inventory management practices and their implications on perceived planning performance

This paper focuses on the use of material planning methods to control material flow to inventories of purchased items. The first sub-objective is to evaluate the perceived planning performance of material planning methods used to control material flows in different inventory types in manufacturing and distribution companies. The second sub-objective is to evaluate the difference in perceived planning performance depending on the way planning parameters are determined and the methods used. Five material planning methods are studied: the re-order point method, the fixed order interval method, run-out time planning, Kanban and MRP. Our analysis is based on survey data from 153 manufacturing and 53 distribution companies. Findings conclude that the use of material planning methods differs depending on where along the material flow they are applied, whether the inventory is located in manufacturing or in distribution operations and between companies of various sizes. The modes of applying a material planning method affect its perceived performance. In particular, the way of determining and the review frequency of safety stocks and lead times have great importance for the planning performance of MRP methods, while the determination and review of order points, review frequencies and run-out times were important for re-order point methods.

[1]  Xiande Zhao,et al.  Freezing the master production schedule for material requirements planning systems under demand uncertainty , 1993 .

[2]  Anders Segerstedt.  Master Production Scheduling and a comparison of Material Requirements Planning and cover-time planning , 2005 .

[3]  Robert W. Grubbström,et al.  Planning and replanning the master production schedule under demand uncertainty , 2002 .

[4]  J. C. Sandvig.  SIMPLE SOLUTIONS AREN'T THE BEST ONES , 1998 .

[5]  Patrik Jonsson,et al.  Manufacturing Planning and Control , 2009 .

[6]  John F. Magee,et al.  Production planning and inventory control , 1958 .

[7]  Jerome S. Osteryoung,et al.  Use of the EOQ model for inventory analysis , 1986 .

[8]  Urban Wemmerlöv,et al.  Lot-sizing under uncertainty in a rolling schedule environment , 1984 .

[9]  Shih-Tao Huang.  Research on changes of total cost of dynamic economic lot-size , 2000 .

[10]  Jan Olhager,et al.  Supply chain management survey of Swedish manufacturing firms , 2004 .

[11]  H.L. Lee,et al.  Aligning Supply Chain Strategies with Product Uncertainties , 2002, IEEE Engineering Management Review.

[12]  Chwen Sheu,et al.  Effectiveness of planning and control systems: An empirical study of US and Japanese firms , 2001 .

[13]  Lee J. Krajewski,et al.  Kanban, MRP, and Shaping the Manufacturing Environment , 1987 .

[14]  M. Hossein Safizadeh,et al.  Linking performance drivers in production planning and inventory control to process choice , 1997 .

[15]  W. C. Benton.  Safety Stock and Service Levels in Periodic Review Inventory Systems , 1991 .

[16]  Willem H.M. Zijm,et al.  Capacity planning and lead time management , 1996 .

[17]  Patrik Jonsson,et al.  A longitudinal study of material planning applications in manufacturing companies , 2006 .

[18]  L. Ritzman,et al.  An empirical analysis of the product-process matrix , 1996 .

[19]  William L. Berry,et al.  Linking Systems to Strategy , 1992 .

[20]  D. Clay Whybark,et al.  MATERIAL REQUIREMENTS PLANNING UNDER UNCERTAINTY , 1976 .

[21]  S. Siegel,et al.  Nonparametric Statistics for the Behavioral Sciences. , 1957 .

[22]  S. T. Enns.  The effect of batch size selection on MRP performance , 1999 .

[23]  Patrik Jonsson,et al.  The implications of fit between planning environments and manufacturing planning and control methods , 2003 .

[24]  Elliot Rabinovich,et al.  Assessing the Effects of Operational Processes and Information Systems on Inventory Performance , 2006 .

[25]  Vincent G. Reuter.  The Big Gap in Inventory Management , 1978 .

[26]  Elliot Rabinovich,et al.  Enterprise-wide adoption patterns of inventory management practices and information systems , 2002 .

[27]  V. Sridharan,et al.  Freezing the Master Production Schedule Under Demand Uncertainty , 1990 .

[28]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[29]  A. Molinder,et al.  Joint optimization of lot-sizes, safety stocks and safety lead times in an MRP system , 1997 .