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Unit 13: Logistics Design and Operational Planning




          Collecting Validation Data                                                            Notes
          In addition to collecting data to support alternative analyses, base case or validation data must
          also be collected to verify that the results accurately reflect reality. The specific question concerns
          whether the chosen analytical approach accurately replicates historical results when distribution
          practices and operating environments are evaluated.

               !
             Caution Comparison should focus on historical activity (e.g., sales and volume) and expense
             levels both in total and by facility, if possible.
          The objective of validation is to increase management credibility regarding the analysis process.
          If the process does not yield credible results, management will  have little confidence in the
          alternative analyses. It is critical that  data collection efforts include investigations into why
          analytical results may not accurately reflect the past.


                 Example: Changes in distribution centre operating practices or a one-time event such as
          a strike may make it impossible to exactly replicate the past. When such situations occur, the
          validation  data collection process should  include an assessment of the likely impact of such
          changes so that appropriate considerations can be made.

          Analysis

          The analysis activity uses the technique and data from the previous activity to evaluate strategic
          and tactical  logistics alternatives. This four-stepped activity includes  the following  specific
          tasks:  (1) defining  analysis questions,  (2)  completing  and  validating  a  baseline  analysis,
          (3) completing analyses of alternatives, and (4) completing sensitivity analysis.

          Defining Analysis Questions

          The first task defines specific analysis  questions concerning  alternatives  and  the  range  of
          acceptable uncertainty. The specific questions build on research objectives and constraints by
          identifying specific operating policies and parameters.


                 Example: The questions for a distribution centre site analysis must identify the specific
          location combinations to be evaluated.
          In the case of an inventory analysis, questions might focus on alternative service and uncertainty
          levels.
          Suppose that a strategic planning effort is focusing on the identification of an optimal network
          of distribution facilities to serve the U.S. domestic market. Assume that the current network uses
          four distribution centres located in Newark, New Jersey; Atlanta, Georgia; Chicago,  Illinois;
          and Los Angeles, California. Shipment volume is defined in terms of weight shipped; cost, in
          terms of transportation and inventory carrying expenses; and service  level, in  terms of the
          percentage of sales volume within 2 days’ transit of the distribution centre. Likely questions for
          the  sample analysis  include: (1) What is the performance  impact of  removing the Chicago
          distribution centre? (2) What is the performance impact of removing the Los Angeles distribution
          centre? and (3) What is the performance impact of removing the Atlanta distribution centre?
          These questions represent a small subset of the potential alternatives for evaluation. Other
          alternatives could include fewer or more distribution centres or evaluation of different locations.





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