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Unit 4: Demand Planning and Forecasting




             Results Achieved                                                                   Notes
             The  automated  platform and service  provided by  Suma Soft  helped in significantly
             decreasing the turn around time. The fast and efficient technical solutions has helped the
             client to decrease turn around time, improve the quality of orders, significantly reduce
             cost and decreased customer care cost.

             Question
             Analyse the case and write down the case facts.
          Source:  www.sumasoft.com

          4.5 Summary

              An analysis of the factors that influence future values determines how future values are
               estimated.
              Forecasting demand levels is a part of medium-term forecasts.
              A successful policy needs to be based on a fundamental understanding of what customers’
               value.
              Demand levels and their timing greatly affect capacity levels, financial needs, and general
               structure of the business.

              Supply chain forecasting concerns the spatial as well as variation of demand with time, the
               extent of its variability, and its degree of randomness.
              Supply and demand reflect the time dimension.

              A forecast is  an estimate of a future event achieved by systematically combining  and
               casting forward in a predetermined way data about the past.
              Different forecasting methods can be used to develop the forecast.

              A good model should have small error measures in both the estimation and validation
               periods and its validation period statistics should be similar to its own estimation period
               statistics.
              CPFR is forecasting based on the concept of supply chain management.
              Collaborative  forecasting overcomes  some of  the inherent  problems with  traditional
               forecasting.
              Collaborative  Planning, Forecasting,  and Replenishment  is  a  nine-step  approach  to
               improving supply chain management, and ties demand planning and supply planning
               into one process.

          4.6 Keywords

          Causal:  Causal  forecasting is used when there is a visible correlation between  one or more
          variables to the demand for the product.
          Collaborative  Forecasting:  Collaborative forecasting enables companies to transition  from
          periodic, disparate and isolated forecasting activities to a single, real-time enterprise forecasting
          process.
          Collaborative Planning  Forecasting  and  Replenishment  (CPFR):  Collaborative  Planning,
          Forecasting and Replenishment, is a concept that aims to enhance supply chain integration by
          supporting and assisting joint practices.



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