Impact of forecasting error on the performance of capacitated multi-item production systems

A computer model is built to simulate master production scheduling activities in a capacitated multiitem production system under demand uncertainty and a rolling time horizon. The output from the simulation is analyzed through statistical software. The results of the study show that forecasting errors have significant impacts on total cost, schedule instability and system service level, and the performance of forecasting errors is significantly influenced by some operational factors, such as capacity tightness and cost structure. Furthermore, the selection of the master production schedule freezing parameters is also significantly influenced by forecasting errors. The findings from this study can help managers optimize their production plans by selecting more reasonable forecasting methods and scheduling parameters, thus improving the performance of production systems.

[1]  T. C. Ireland,et al.  Correlating MRP system nervousness with forecast errors , 1998 .

[2]  Sukran N. Kadipasaoglu,et al.  Measurement of instability in multi-level MRP systems , 1997 .

[3]  William L. Berry,et al.  Manufacturing Planning and Control Systems , 1984 .

[4]  Jinxing Xie,et al.  Multilevel lot-sizing heuristics and freezing the master production schedule in material requirements planning systems , 1998 .

[5]  Neng-Pai Lin,et al.  A Model for Master Production Scheduling in Uncertain Environments , 1992 .

[6]  William L. Berry,et al.  MEASURING MASTER PRODUCTION SCHEDULE STABILITY UNDER ROLLING PLANNING HORIZONS , 1988 .

[7]  Hans-Otto Günther,et al.  Numerical evaluation of heuristics for the multi-item single-level capacitated lot-size problem , 1988 .

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

[9]  Reza Eftekharzadeh.  A Comprehensive Review of Production Lot‐sizing , 1993 .

[10]  E. Silver,et al.  A heuristic solution procedure for the multi-item, single-level, limited capacity, lot-sizing problem , 1981 .

[11]  Everett E. Adam,et al.  Forecasting error evaluation in material requirements planning (MRP) production-inventory systems , 1986 .

[12]  Jeff Hoi Yan Yeung,et al.  Parameters affecting the effectiveness of MRP systems: A review , 1998 .

[13]  Xiande Zhao,et al.  Lot-sizing rules and freezing the master production schedule in material requirements planning systems , 1997 .

[14]  V. Sridharan,et al.  Alternative approaches for reducing schedule instability in multistage manufacturing under demand uncertainty , 1995 .

[15]  Luk N. Van Wassenhove,et al.  Multi-Item Single-Level Capacitated Dynamic Lot-Sizing Heuristics: A General Review , 1988 .

[16]  Chrwan-Jyh Ho,et al.  An investigation of alternative dampening procedures to cope with MRP system nervousness , 1996 .

[17]  Dean H. Kropp,et al.  A comparison of strategies to dampen nervousness in MRP systems , 1986 .

[18]  Xiande Zhao,et al.  Lot-sizing rules and freezing the master production schedule in material requirements planning systems under demand uncertainty , 1995 .

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

[20]  V. Sridharan,et al.  Freezing the Master Production Schedule Under Rolling Planning Horizons , 1987 .

[21]  Marc Salomon,et al.  Batching decisions: structure and models , 1994 .

[22]  Dean H. Kropp,et al.  Alternative approaches to schedule instability: a comparative analysis , 1987 .

[23]  V. Sridharan,et al.  Master production scheduling make-to-stock products: a framework for analysis , 1990 .

[24]  S. Selcuk Erenguc,et al.  Multiple‐stage production planning research: history and opportunities , 1996 .

[25]  V. Sridharan,et al.  Freezing the Master Production Schedule: Implications for Fill Rate* , 1994 .

[26]  Xiande Zhao,et al.  Freezing the master production schedule in multilevel material requirements planning systems under deterministic demand , 1996 .