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Logistics and Supply Chain Management




                    Notes          Self Assessment

                                   Fill in the blanks:
                                   1.  …………………… tools help in  the analysis of the environment and provide inputs on
                                       how the organization can use its resources for maximum leverage.

                                   2.  Forecasting demand levels is a part of …………………… forecasts.
                                   3.  Supply and demand reflects the …………………… dimension.
                                   4.  …………………… demand uses statistical forecasting techniques.
                                   5.  …………………… location  of demand is needed to plan warehouse locations, balance
                                       inventory  levels  across  the  supply  chain  network,  and  geographically  allocate
                                       transportation resources.

                                   4.2 Collaborative Forecasting

                                   As technology becomes faster and smarter and as the willingness  of supply chains to  share
                                   information increases, companies will  benefit from such forecasting models. Inventory  will
                                   increasingly be replaced with information.  This hope is reflected in Collaborative Planning
                                   Forecasting and Replenishment (CPFR). CPFR is  accepted as  an extension  of supply  chain
                                   management and as a part of supply chain philosophy.
                                   The first CPFR exercise was undertaken by Wal-Mart and Warner-Lambert for Listerine products.
                                   They used special CPFR software to exchange forecasts. Supportive data, such  as past  sales
                                   trends, promotion plans and even the weather, were transferred in an iterative fashion. This
                                   allowed them to develop a  single forecast  based their original  forecasts.  The results  were
                                   gratifying. Listerine sales increased, the fill rates improved, and there was a significant reduction
                                   of inventory investment.
                                   CPFR is forecasting based on the concept of supply chain management. It is a business model
                                   that takes a holistic approach to supply chain management and information exchange among
                                   trading partners. It uses common metrics, standard language, and firm agreements to improve
                                   supply chain efficiencies for all participants.
                                   In other words, collaborative forecasting  is based on considering the entire  supply chain  or
                                   partnerships as a single unit and the sharing of information between the links in the chain. The
                                   objective is to collectively, as members of the supply chain, meet the needs of the final consumer.
                                   This is accomplished by supplying the right product at the right place, right time and right price
                                   to the customer.

                                   According to the Round Table held at the University of Denver in May, 2002, the “CPFR Overview
                                   Committee” developed target objectives of  business benefits using CPFR. These are  shown
                                   below:
                                      Increased in-stock at shelf 5-8%
                                      Reduced average network inventory 10%
                                      Increased sales 8-10%
                                      Reduced operating expense 1-2%

                                      Reduced cost of goods 3-4%
                                      Reduced lead time/cycle time 25-30%
                                      Decreased account receivables 8-10%
                                      Reduced forecast error +/-20% (six weeks out) and +/-30% (twelve weeks out)



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