Strategic issues in make-to-order manufacturing
Production and Inventory Management
Principles of multivariate analysis: a user's perspective
Principles of multivariate analysis: a user's perspective
A prototype system for short-term supply planning
Computers in Industry - Special issue: ATPMS '92
Bayesian forecasting and dynamic models (2nd ed.)
Bayesian forecasting and dynamic models (2nd ed.)
Issues of mass customisation and supporting IT-solutions
Computers in Industry
Manufacturing Planning and Control for Supply Chain Management
Manufacturing Planning and Control for Supply Chain Management
All of Statistics: A Concise Course in Statistical Inference
All of Statistics: A Concise Course in Statistical Inference
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Demand-driven manufacturing is an extremely unstable planning environment compared to forecast-driven manufacturing. This requires preparation and makes knowledge of demand behaviour even more important for planning and control. The basic assumptions of pre-ante allocation based on forecast of independent end-products demand are critical for manufacturing planning and control in general. However, the importance is higher for demand-driven manufacturing than forecast-driven manufacturing. This is due to the sensitivity of demand-driven manufacturing to demand fluctuations, e.g. time and interdependency of demand rates, due to the customer order decoupling point. This paper presents a method to establish time and interdependency of demand rates (the Time- and Interdependent Demand Rate Method), which can improve the planning and control performance as well as the order management performance in a MTO environment. The method is tested on data from two cases. For both cases results and demand planning implications are presented. Use guidelines for the method are also presented along with avenues of further research.