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PROCUREMENT     9 Keys to Maximizing
               Profits and Equipment
              Uptime through Inventory
                   Management for
                 Maintenance Parts
              MEMO 2011 Conference in Saskatoon
                         Gallery C

                 By Robert Lamarre, B.B.A., M.A.Sc.
                 President of IMAFS inc. & GCRL inc.

                        November 7th, 2011

                                Robert Lamarre - All rights reserved
1.       Parts classification
       2.       Managing service
       3.       Managing demand
       4.       Forecasting demand
       5.       Managing lead times
       6.       Optimizing inventory parameters
       7.       A good inventory optimization system
       8.       Clarifying roles and responsibilities
       9.       Policies, procedures and key performance indicators



Robert Lamarre - All rights reserved                                  2
 True or false: all parts are created equal ?
        Classify the parts in relation to both their relative
         importance on operations (criticality) and
         frequency of usage
        Classify the parts taking into account inventory
         strategies
        Pareto on hits and value




Robert Lamarre - All rights reserved                             3
Identify product family and demand stream




                Obsolete               Critical             Reparable             Stock     New
                   or                    or                    or                   or
                  not                    not                   not              non stock
    Classes




                                                 Inactives                ABCD
                                              (no usage for X         Based on Hits or
                                                 months)                usage value




                                                            Updated
                                                          Annually
                                                          Monthly
                                                          Manual

Robert Lamarre - All rights reserved                                                              4
 The reason we keep inventory
       Analyzing our performance is important
       Ability to supply the parts when needed
       Estimate parts availability
       Service goals to be determined for each product class,
        each product family and each warehouse
       The system has to adjust Min-Max to service goals
       80 – 20 Rule -> Focus on important items


Robert Lamarre - All rights reserved                             5
Measures existing levels

                                            Allows service goals on part’ criticality level

                                       Allows service goals by class, by family, by warehouse

                                             Safety stock set in line with service goals

                                                          Simulations
                                           to measure impact of service goals variations

                                                Dashboard to track service results

                                                  Tools to take corrective actions




Robert Lamarre - All rights reserved                                                            6
 Historical Information
       More data = more accurate you can be
       Demand flows regular, project, planned maintenance
       Demand patterns: planned or emergencies
       Regular demand or intermittent demand
       Manage on demand data; not shipping




Robert Lamarre - All rights reserved                         7
Better data for accurate forecasts
Robert Lamarre - All rights reserved                 8
 Forecasting: Prediction or science ?
       Human, machine or both ?
       Sales & Operations Planning (S&OP)




Robert Lamarre - All rights reserved           9
Better forecasts = better service + less stock
                                                   Good solid
                                                   statistical
                                                    forecasts

                                                                   Forecasting
                                                                  methods that
                                       Filters &                   account for
                                        alerts                   demand trends,
                                                                 seasonality and
                                                                  intermittence



                                           Possibility
                                                           Best fit by
                                           of manual
                                                             item
                                          adjustments

                          Can integrate maintenance planning data
Robert Lamarre - All rights reserved                                               10
 What is a lead time ?
       Lead times are often long and variable
       Reality versus promises
       Measure and manage the various elements of lead
        times




Robert Lamarre - All rights reserved                      11
Bad lead time information result in stock outs or surplus stock

                                                            Dynamic
                                                           calculation

                                    Compare real                          By vendor and
                                    lead time with                        transport mode
                                   vendor promises
                                                         Lead
                                        Possibility of
                                                         time              Cleansing of
                                       manual control                     extreme delays

                                                          Internal lead
                                                         time managed
                                                         by components


     Can run simulations to analyse impact of changes
     Tools to take corrective actions
Robert Lamarre - All rights reserved                                                       12
 What is a Min ?
       What is a Max ?
       Min-Max variations
       Safety stock provide the service level goals
       Demand variability and forecasts




Robert Lamarre - All rights reserved                   13
Service                   $
                                       objectives      Ordering       Stocking
                                       per class /      costs           costs
                                        family/
                                       warehouse



                                Calculation          Simulation             Adjustments
                              SS       Lead time
                                   Min Max
                                   Forecasting
                                    Lot sizes




                                                                                   DATA BASE
                                                                                     ERP or
                                                                                     CMMS




Robert Lamarre - All rights reserved                                                           14
 Look for inventory management system specially designed for
        spare parts. They should account for:
           Parts criticality
           Service goals per product class and product criticality
           Erratic demand forecasting
           Planned demand
           Lead time management
           Dynamic inventory parameters optimization
           Allow simulations
           Surplus stock identification, prevention and disposition
           A complete set of KPIs and exception reports
           Data mining

Robert Lamarre - All rights reserved                                   15
Overall results that can be drilled down




                 Inventory analysis reports gives full picture of inventory
                management results with pointers on necessary corrective
                           actions with drill down possibilities
Robert Lamarre - All rights reserved                                          16
 Clarifying roles and responsibilities
       Who is responsible for inventory ?
       What are the roles of Supply Chain Management ?
       What are the roles of Maintenance ?
       Change management is very important




Robert Lamarre - All rights reserved                      17
 Service goals
       Policies determine roles and responsibilities
       Key performance indicators
       Benchmark




Robert Lamarre - All rights reserved                    18
Robert Lamarre - All rights reserved   19
Robert Lamarre - All rights reserved   20
Inventory Management can be passionate and exciting
    Yes eliminating 25% or 40% of equipment downtime due
     to lack of parts brings a smile to operations manager
    Eliminating 80% of stock-outs at the store has a major
     impact on maintenance efficiency
    When you can reduce total inventory by more than 25%
     while improving service, you are freeing up capital
     money and space that are always badly needed




Robert Lamarre - All rights reserved                          21
Thank you

                                       Questions?
Robert Lamarre - All rights reserved                22

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9 Keys to Maximizing Profits and Equipment Uptime through Inventory Management for Maintenance Parts

  • 1. PROCUREMENT 9 Keys to Maximizing Profits and Equipment Uptime through Inventory Management for Maintenance Parts MEMO 2011 Conference in Saskatoon Gallery C By Robert Lamarre, B.B.A., M.A.Sc. President of IMAFS inc. & GCRL inc. November 7th, 2011 Robert Lamarre - All rights reserved
  • 2. 1. Parts classification 2. Managing service 3. Managing demand 4. Forecasting demand 5. Managing lead times 6. Optimizing inventory parameters 7. A good inventory optimization system 8. Clarifying roles and responsibilities 9. Policies, procedures and key performance indicators Robert Lamarre - All rights reserved 2
  • 3.  True or false: all parts are created equal ?  Classify the parts in relation to both their relative importance on operations (criticality) and frequency of usage  Classify the parts taking into account inventory strategies  Pareto on hits and value Robert Lamarre - All rights reserved 3
  • 4. Identify product family and demand stream Obsolete Critical Reparable Stock New or or or or not not not non stock Classes Inactives ABCD (no usage for X Based on Hits or months) usage value Updated  Annually  Monthly  Manual Robert Lamarre - All rights reserved 4
  • 5.  The reason we keep inventory  Analyzing our performance is important  Ability to supply the parts when needed  Estimate parts availability  Service goals to be determined for each product class, each product family and each warehouse  The system has to adjust Min-Max to service goals  80 – 20 Rule -> Focus on important items Robert Lamarre - All rights reserved 5
  • 6. Measures existing levels Allows service goals on part’ criticality level Allows service goals by class, by family, by warehouse Safety stock set in line with service goals Simulations to measure impact of service goals variations Dashboard to track service results Tools to take corrective actions Robert Lamarre - All rights reserved 6
  • 7.  Historical Information  More data = more accurate you can be  Demand flows regular, project, planned maintenance  Demand patterns: planned or emergencies  Regular demand or intermittent demand  Manage on demand data; not shipping Robert Lamarre - All rights reserved 7
  • 8. Better data for accurate forecasts Robert Lamarre - All rights reserved 8
  • 9.  Forecasting: Prediction or science ?  Human, machine or both ?  Sales & Operations Planning (S&OP) Robert Lamarre - All rights reserved 9
  • 10. Better forecasts = better service + less stock Good solid statistical forecasts Forecasting methods that Filters & account for alerts demand trends, seasonality and intermittence Possibility Best fit by of manual item adjustments Can integrate maintenance planning data Robert Lamarre - All rights reserved 10
  • 11.  What is a lead time ?  Lead times are often long and variable  Reality versus promises  Measure and manage the various elements of lead times Robert Lamarre - All rights reserved 11
  • 12. Bad lead time information result in stock outs or surplus stock Dynamic calculation Compare real By vendor and lead time with transport mode vendor promises Lead Possibility of time Cleansing of manual control extreme delays Internal lead time managed by components Can run simulations to analyse impact of changes Tools to take corrective actions Robert Lamarre - All rights reserved 12
  • 13.  What is a Min ?  What is a Max ?  Min-Max variations  Safety stock provide the service level goals  Demand variability and forecasts Robert Lamarre - All rights reserved 13
  • 14. Service $ objectives Ordering Stocking per class / costs costs family/ warehouse Calculation Simulation Adjustments SS Lead time Min Max Forecasting Lot sizes DATA BASE ERP or CMMS Robert Lamarre - All rights reserved 14
  • 15.  Look for inventory management system specially designed for spare parts. They should account for:  Parts criticality  Service goals per product class and product criticality  Erratic demand forecasting  Planned demand  Lead time management  Dynamic inventory parameters optimization  Allow simulations  Surplus stock identification, prevention and disposition  A complete set of KPIs and exception reports  Data mining Robert Lamarre - All rights reserved 15
  • 16. Overall results that can be drilled down Inventory analysis reports gives full picture of inventory management results with pointers on necessary corrective actions with drill down possibilities Robert Lamarre - All rights reserved 16
  • 17.  Clarifying roles and responsibilities  Who is responsible for inventory ?  What are the roles of Supply Chain Management ?  What are the roles of Maintenance ?  Change management is very important Robert Lamarre - All rights reserved 17
  • 18.  Service goals  Policies determine roles and responsibilities  Key performance indicators  Benchmark Robert Lamarre - All rights reserved 18
  • 19. Robert Lamarre - All rights reserved 19
  • 20. Robert Lamarre - All rights reserved 20
  • 21. Inventory Management can be passionate and exciting  Yes eliminating 25% or 40% of equipment downtime due to lack of parts brings a smile to operations manager  Eliminating 80% of stock-outs at the store has a major impact on maintenance efficiency  When you can reduce total inventory by more than 25% while improving service, you are freeing up capital money and space that are always badly needed Robert Lamarre - All rights reserved 21
  • 22. Thank you Questions? Robert Lamarre - All rights reserved 22