Planning Stability in Material Requirements Planning Systems
In logistics systems, the issue of planning stability has attracted increased attention and interest in recent years. This is mainly due to an increasing integration of planning systems both within and across companies in supply chain management. The propagation of adjustments in planning systems first acquired wide attention when MRP systems were employed as standard planning tools for material coordination. Within a rolling horizon framework the MRP application produced considerable planning instability which origins from uncertainties in the planner's exogenous environment as well as from endogenous sources. This book presents an analytical investigation that gives deep insight into the influence of different kind of inventory control rules on the stability of material planning systems under stochastic demand in a rolling horizon environment.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
algorithm analysis analyzed applies closed-form expressions demand and returns demand distributions demand per period demand uncertainty demand variabilities depends determined disposal option Dmax Donselaar 131 expected demand expected value exponentially distributed demand Figure forecasted demand freezing Furthermore given impact increase Inderfurth 32 influence initial stock level inventory control rules inventory position Jensen 68 Kok and Inderfurth lead level of stability lot size Q lot-sizing rules material planning Material Requirements Planning minimum stability Moreover MRP system optimal order releases plan changes plan revisions planned orders planned setup planning cycle planning horizon planning stability planning system product recovery product structure production systems recovery model recovery system remanufacturing replanning replenishment rescheduling respectively return rates rolling horizon schedule s,nQ safety stocks Section service level setup decisions setup stability short-term consideration Sridharan stability decreases stability function stability horizon stability measure stability performance stability quotients stochastic upstream stages values weight parameter
Page 257 - Millen (1986). A comparison of strategies to dampen nervousness in MRP systems. Management Science 32, 413-429.
Page 262 - A Robustness Approach to Facilities Design," International Journal of Production Research, 25, 479-486.
Page 262 - Sridharan, V. and LaForge,- L. (1990). "An Analysis of Alternative Policies to Achieve Schedule Stability." Journal of Manufacturing Operations Management, Vol.3, No.l, pp.5373. Stein, Robert E. (1996). Re-Engineering the Manufacturing System: Applying the theory of constraint. Marcel Dekker, Inc. Tommelein, Iris D. (1997). "Models of Lean Construction Processes: Example of Pipe-Stool Materials Management.
Page 258 - York. 1985.  T. De Kok, K. Inderfurth, Nervousness in inventory management: Comparison of basic control rules, European Journal of Operational Research 103 (1997) 55-82.  EA Silver, DF Pyke.
Page 262 - The Impact of Safety Stock on Schedule Instability, Cost and Service," Journal of Operations Management, vol.
Page 257 - The impact of a rolling schedule in a multi-level MRP system. Journal of Operations Management, Vol. 2, No. 2.