Production Planning and Scheduling for Seasonal Demand

When sales vary significantly according to season, the manufacturer makes special provisions to integrate the acquisition of raw materials and labour with an effective production schedule which satisfies customers′ requirements. The recommended procedure is called aggregate planning, and many algorithms produce a good definitive solution. However, they have been ignored by industry. The empirical research presented here looks at such planning in a sample of 20 Australian factories. It sheds some light on the acknowledged gap between theory and practice, and suggests that business strategy, the extent of the seasonal distortion, and the tactical remedies available, are all linked. Strategic and tactical considerations tend to bypass the aggregate planning step, and the problem is ultimately resolved at the master production schedule level.

[1]  C. C. Holt,et al.  A Linear Decision Rule for Production and Employment Scheduling , 1955 .

[2]  E. H. Bowman Production Scheduling by the Transportation Method of Linear Programming , 1956 .

[3]  P. S. Greenlaw,et al.  Management decision making , 1966 .

[4]  Curtis H. Jones Parametric Production Planning , 1967 .

[5]  W. Taubert A Search Decision Rule for the Aggregate Scheduling Problem , 1968 .

[6]  Samuel Eilon,et al.  A new approach to production smoothing , 1974 .

[7]  Basheer M. Khumawala,et al.  Simulation Testing of Aggregate Production Planning Models in an Implementation Methodology , 1974 .

[8]  Joseph M. Mellichamp,et al.  Production Switching Heuristics for the Aggregate Planning Problem , 1978 .

[9]  Norman Gaither,et al.  Production and operations management: A problem-solving and decision-making approach , 1980 .

[10]  Roger G. Schroeder,et al.  Operations Management: Decision Making in the Operations Function , 1981 .

[11]  Richard F. Deckro,et al.  Goal Programming Approaches to Solving Linear Decision Rule Based Aggregate Production Planning Models , 1984 .

[12]  M. D. Byrne,et al.  A combined switching algorithm and linear decision rule approach to production planning , 1985 .

[13]  Mario T. Tabucanon,et al.  Multi-objective microcomputer-based interactive production planning , 1985 .

[14]  Umit Akinc,et al.  A New Approach to Aggregate Production Planning , 1986 .

[15]  F. Durán A large mixed integer production and distribution program , 1987 .

[16]  Chen-Hua Chung,et al.  Interfacing aggregate plans and master production schedules via a rolling horizon feedback procedure , 1987 .

[17]  John R. King,et al.  Production Scheduling , 1988, Computer-Aided Production Management.

[18]  Geoff Buxey,et al.  Production planning under seasonal demand: A case study perspective , 1988 .

[19]  Vic Gilgeous,et al.  Modelling realism in aggregate planning: a goal-search approach , 1989 .