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ECR Baltic
Opportunities in Warehouse Process
 Development after Pick-by-Voice
          Implementation

         Kimmo Yli-Kokko
Optiscan Market Area



Turnover       12 million €
                                           Norway              Finland
Personnel      50

1 500 000 order lines picked every day                Sweden               Russia


                                            Denmark              Baltics




“Optiscan has improved our business” (95% of customers, Customer Survey 2007)
How does Voice work?
• “Pick list” downloaded through WLAN to Talkman
      Talkman:     (Go to) Aisle 11
      Picker:      Ready
      Talkman:     (Go to location) 101 level 1
      Picker:      2-3
      Talkman:     (Take) 5
      Picker:      5



• Very short “communications” with the Talkman
• Talkman uses built-in Speech Recognition software and
Text–to–Speech Engine
• Talkman TASK = Application that guides picker through
the work process
Benefits of Voice Directed Work

Accuracy increased to 99,98+% (all of our customers has
  improved accuracy more than 75%)
   • Less errors – saved time can be used for other jobs…
   • Check Digit handling > eyes free operation
   • Picker look at the product all the way when picked

Productivity increased by 15 – 35%
   •   Start and end of picking cycle
   •   Hands free / eyes free work
   •   Batch picking (multiple orders at the same time)
   •   Picking location replenishment requests
   •   Easy to use and learn > Shorter employee introduction period
Benefits of Voice Directed Work

Increased work safety / ergonomics
   • Picker moves along a planned route
   • Eyes free – picker concentrates on action, not on reading
   • Hands free lifting is ergonomic – less work related injuries
        No extra equipment weight in hands, no one-hand operations
        Less broken goods – using two hands is more secure


Real-time operations management
   • Real-time picking control > prediction “are we on time today”
   • Automatic performance reporting
        During the day
        Long term
Customer’s reported Picking Errors
                                 Picking Errors Development 2007
1,20
                                 1,04
                                                                            Oppstart
1,00                                                                      stemmeplukk
                          0,96

                                                      Pick-by-Voice starts

0,80
                   0,75
                                        0,75


0,60
          0,52


0,40

                                               0,30
                                                                                           0,16
0,20                                                               0,12
                                                                             0,06
                                                                                                         0,04   0,03
                                                          0,00                                    0,01                        0,02
                                                                                                                       0,00
                                                                                    0,04
0,00
       Av %      Week Week Week Week Week Week Week Week Week Week Week Week Week Week Week
                 39   40   41   42   43   44   45   46   47   48   49   50   51   52   1
Customer’s reported Lack of Products
                                   Lack of Products 2007
1,40
              1,23

1,20                                                                Oppstart
                                                                  stemmeplukk

                     1,07
1,00
                                             Pick-by-Voice starts
                            0,92
0,80
                                    0,75

0,60                                                0,66   0,66



                                           0,48
0,40
       0,39                                                                       0,39
                                                                           0,36
                                                                    0,28
0,20                                                                                     0,23          0,24
                                                                                                0,22          0,07
                                                                                                                     0,04


0,00
       Av %   Week Week      Week Week Week       Week Week Week Week             Week Week Week       Week Week Week
              39       40     41      42   43      44        45     46     47      48    49     50      51    52     1
Developments…

• More transparent operation
   •   Supervisors can see actual online situation in warehouse
   •   Supervisors can lead the process on time
   •   Problems can be found during the day from one screen
   •   Replenishment in advance and more…
• Data is collected from pickers action
   • Time stamp when picker “mark” row picked
   • This opens big possibility to find process to do faster and better
         In process side
         In workers side
• Automated picking process control
   • Picker can not do what they want to
   • They need to do how the system ask them to do
ECR Baltic
Benefits of Automated Warehouse Trucks at
         Semiautomatic Warehouses

             Anders Olsson
$11 026
                    $9 466

         $6 777
               $7 871
                                          $13Bn global business
$5 184
                                          Founded 1985
                                          NYSE ticker: DHR
                                          Motion business: $1Bn
 03      04    05       06   07




              Technology Focused Business
AGV and Lift Truck Systems
>   Sales – AGV: $25M and LT: $100M

>   #1 share leader at 35% of global AGV controls market
       Installed base: 15.000 vehicles total
       Shipping: 1.000 vehicle control systems / year
       Global channel, through value added partner, strategy

>   35 Years of Automated Vehicle Controls Expertise
       >1000 systems installed – on all continents
       AGV Pioneer – created worlds first AGV for Volvo

>   25 integration partners with segment specific expertise
       Danaher provide AGV control system and tools
       AGV / Truck suppliers builds and installs the vehicles

>   Support for all major warehouse truck brands
       BT/Toyota, Jungheinrich, Linde, Still, Crown, Yale/Hyster, Rocla, and more
Pick-n-Go® initiative
Boost productivity in order-picking
    Increase picker productivity by 50-100%

    Driverless trucks escort the pickers
      Give the picker a more efficient tool
            Automated pick-up of empty roller container / pallet
            No Step On/Off vehicle
            Automated dispatch of fulfilled customer order

    Perfect combination: 1 + 1 = 3 !!
        AGV technology combined with Pick-by-Voice

    In existing environment
        Same Infrastructure
         Same Process and IT solution
Concept – eliminate driving
Boost productivity in order-picking, time studies told us:
    Eliminate non-productive steps – LEAN!
    Pickers walk – automated pallet pick-up and dispatch
Concept – eliminate driving
Boost productivity in order-picking, time studies told us:
    Eliminate non-productive steps – LEAN!
    Pickers walk – automated pallet pick-up and dispatch




                      Eliminate Waste
Simple Solution
Generic ROI model – example:
    Today pickers spend 30 min on a pick run                                 7 min  0 min
        Preparation for pick run (6 min)
             Order administration                                          Dispatch
         
             Empty pallet pick-up                 6 min  1 min
                                                                          outbound         Stretch
            Travel to 1st pick location             Empty
        Picking first to last pick (17 min)                                goods          wrapping
        Dispatching the goods (7 min)                Pallet                                 and
            Travel to stretch wrapper               pick-up                               labelling
            Secure and label goods
            Travel to and Drop at correct dock
                                                               17 min  15 min
    Pickers supported by Pick-n-Go only
     spend 16 min on same pick run
        Preparation for pick run (1 min)           Dispatch
            Walk to 1st pick location
                                                    outbound
                                                                                 Man-to-Goods
        Picking first to last pick (15 min)                                       floor level
            No step on / off truck                  goods
        Dispatching the goods (0 min)                                           order-picking
    Gain:                                                                         Pick-n-Go
        30 – 16 = 14 min
        14 / 30 = 46,7% cut time 
         Productivity gain: 87,5% 1/(1-0,467)                     Next pick run 14 min earlier!!
        Each picker produce 87,5% more                                   30  16 min
Measurable Result
Generic ROI model – example:
    Apply 87,5% productivity gain to your operation                      7 min  0 min
        Replace 50 pickers with 27 pickers,
         each shift: 50 / 1,875 = 26,7                                  Dispatch
                                               6 min  1 min
                                                                        outbound        Stretch
    Reduce operating cost by                     Empty                  goods         wrapping
        23 pickers in two shift (50-27)           Pallet                                and
        23 * 2 * €40.000 / year =                pick-up                              labelling
         €1,8M / year

    How many Pick-n-Go trucks                              17 min  15 min
     are needed to support my 27 pickers?
        AGVs spend 25 min per pick run          Dispatch
            4 min preparation
                                                 outbound
                                                                              Man-to-Goods
            15 min picking
            6 min dispatching                    goods                         floor level
        Pickers spend 16 min per pick run                                    order-picking
        25 / 16 = 1,56 trucks / picker
        27 pickers need 42 trucks                                              Pick-n-Go
        50 traditional trucks replaced by
         42 Pick-n-Go trucks
                                                                 Productivity gain: 87,5 %
    ROI: < 18 months                                              cut 46 pickers / day
                                                                       cut 8 trucks
Marktkauf Logistik GmbH
The birth of Pick-n-Go:
    First two plants started operation Q1 2006

        Laichingen
          17 automated order-pickers (Jungheinrich EKS)
          10 automated stackers (Jungheinrich ERC)
        Bielefeld
          23 automated order-pickers (Jungheinrich EKS)
          17 automated stackers (Jungheinrich ERC)


    Logistics Manager (Torsten Winter):

        2005 time studies – opportunity to increase
         Net Picking Time (NPT): 3,30 h/day  6,07 h/day
          Improve productivity 80% or
          213 kolli/h  385 kolli/h


        2007 time studies – productivity increased 100%
          Result: 420 kolli/h in average
           (top pickers: 700-800 kolli/h)

            “Best practice in picking”
Pick-n-Go at Coop
Coop, 2nd largest retailer in Sweden
    Main distribution terminal, near Stockholm
        Largest DC in northern Europe
            130.000 m², 900 employees, 550 warehouse trucks
            Serving 700 in-house outlets + 500 “contract stores”

    32 automated warehouse trucks,
     served by 20 pickers in three shifts
        Trucks from Toyota Material Handling (BT)
        Mixed operation (manual and automated trucks)
         32 AGV and 200 manual order-picker trucks

        Commercial operation started May 2008

        Integrated to existing Pick-by-Voice system
         in existing environment and processes

        Pre-study in Q3 2007 to verify initial idea
         Concept proven on real data, by simulation

    Result: Increased picker productivity by 100% !!
Customer Values
Business case – Picking process
    Operational costs, mainly cost of labor
        Productivity gains by 50-125%
        Reduce total operating costs by 20-50%

    Warehouse trucks
        Reduced number of trucks by 10-20%
        Increased life time by 50-100%
        Increased utilization

    Working environment
        No collisions – No damaged trucks
        No damaged goods or goods carriers
        Better ergonomics

    Increased capacity
        Expand operation in existing environment

        Existing plant
“Semi Automation”
                                    •Mixed fleet operation
                                    •Incremental investment/ truck




                                                                                Fixed Automation
                                                                                     (AS/RS)
                                                                                     Mechanized
Picks/Hour




                                                                                    Not portable
                                                                                    Less flexible
                                   Pick-n-Go                                       Long lead-times
                                   Standard Trucks
                                      Automated
                                 Scalable, Flexible and
                                   Portable solution
                                 Quick time-to-money

                                                           Provided by
                                                       Lift truck suppliers
                                                      Rental, lease or invest
                                                          Local service
             Manual Trucks
               Standard Trucks

                                            Investment/Payback
Best practices integrated

          Voice Guided Vehicles – Pick-n-Go®

                                                       Automated
                                                 Automated
                                                       warehouse
                                                 warehouse
                                                 trucks
                                                       trucks



  Intelligent Software                   Integrated
Warehouse management           Hardware and Controls solution
         Material flow
         Tracking goods
         Voice Management
         Warehouse Control
Time to Pick-n-Go !!
Measurable results
     Proven technologies, robust results
     Applicable to any environments
      including cold storage
     Best practice in order-picking

Productivity gains up to 100%
     Dramatic cut of operating costs
     Increased capacity

Danaher Motion uniquely positioned
     Serve 80% of all Lift truck OEMs with
      Motors, Drives, Controls and Software solutions   www.Pick-n-Go.com
     Pioneer and share leader in AGV
Riga November 05, 2008




                                       © Copyright CDC Software




Efficient Distribution and Transportation

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08 opportunities in_warehouse_process_development_after_a_pick-by-voice_implementation

  • 1. ECR Baltic Opportunities in Warehouse Process Development after Pick-by-Voice Implementation Kimmo Yli-Kokko
  • 2. Optiscan Market Area Turnover 12 million € Norway Finland Personnel 50 1 500 000 order lines picked every day Sweden Russia Denmark Baltics “Optiscan has improved our business” (95% of customers, Customer Survey 2007)
  • 3. How does Voice work? • “Pick list” downloaded through WLAN to Talkman Talkman: (Go to) Aisle 11 Picker: Ready Talkman: (Go to location) 101 level 1 Picker: 2-3 Talkman: (Take) 5 Picker: 5 • Very short “communications” with the Talkman • Talkman uses built-in Speech Recognition software and Text–to–Speech Engine • Talkman TASK = Application that guides picker through the work process
  • 4. Benefits of Voice Directed Work Accuracy increased to 99,98+% (all of our customers has improved accuracy more than 75%) • Less errors – saved time can be used for other jobs… • Check Digit handling > eyes free operation • Picker look at the product all the way when picked Productivity increased by 15 – 35% • Start and end of picking cycle • Hands free / eyes free work • Batch picking (multiple orders at the same time) • Picking location replenishment requests • Easy to use and learn > Shorter employee introduction period
  • 5. Benefits of Voice Directed Work Increased work safety / ergonomics • Picker moves along a planned route • Eyes free – picker concentrates on action, not on reading • Hands free lifting is ergonomic – less work related injuries  No extra equipment weight in hands, no one-hand operations  Less broken goods – using two hands is more secure Real-time operations management • Real-time picking control > prediction “are we on time today” • Automatic performance reporting  During the day  Long term
  • 6. Customer’s reported Picking Errors Picking Errors Development 2007 1,20 1,04 Oppstart 1,00 stemmeplukk 0,96 Pick-by-Voice starts 0,80 0,75 0,75 0,60 0,52 0,40 0,30 0,16 0,20 0,12 0,06 0,04 0,03 0,00 0,01 0,02 0,00 0,04 0,00 Av % Week Week Week Week Week Week Week Week Week Week Week Week Week Week Week 39 40 41 42 43 44 45 46 47 48 49 50 51 52 1
  • 7. Customer’s reported Lack of Products Lack of Products 2007 1,40 1,23 1,20 Oppstart stemmeplukk 1,07 1,00 Pick-by-Voice starts 0,92 0,80 0,75 0,60 0,66 0,66 0,48 0,40 0,39 0,39 0,36 0,28 0,20 0,23 0,24 0,22 0,07 0,04 0,00 Av % Week Week Week Week Week Week Week Week Week Week Week Week Week Week Week 39 40 41 42 43 44 45 46 47 48 49 50 51 52 1
  • 8. Developments… • More transparent operation • Supervisors can see actual online situation in warehouse • Supervisors can lead the process on time • Problems can be found during the day from one screen • Replenishment in advance and more… • Data is collected from pickers action • Time stamp when picker “mark” row picked • This opens big possibility to find process to do faster and better  In process side  In workers side • Automated picking process control • Picker can not do what they want to • They need to do how the system ask them to do
  • 9. ECR Baltic Benefits of Automated Warehouse Trucks at Semiautomatic Warehouses Anders Olsson
  • 10. $11 026 $9 466 $6 777 $7 871  $13Bn global business $5 184  Founded 1985  NYSE ticker: DHR  Motion business: $1Bn 03 04 05 06 07 Technology Focused Business
  • 11. AGV and Lift Truck Systems > Sales – AGV: $25M and LT: $100M > #1 share leader at 35% of global AGV controls market  Installed base: 15.000 vehicles total  Shipping: 1.000 vehicle control systems / year  Global channel, through value added partner, strategy > 35 Years of Automated Vehicle Controls Expertise  >1000 systems installed – on all continents  AGV Pioneer – created worlds first AGV for Volvo > 25 integration partners with segment specific expertise  Danaher provide AGV control system and tools  AGV / Truck suppliers builds and installs the vehicles > Support for all major warehouse truck brands  BT/Toyota, Jungheinrich, Linde, Still, Crown, Yale/Hyster, Rocla, and more
  • 12. Pick-n-Go® initiative Boost productivity in order-picking  Increase picker productivity by 50-100%  Driverless trucks escort the pickers  Give the picker a more efficient tool  Automated pick-up of empty roller container / pallet  No Step On/Off vehicle  Automated dispatch of fulfilled customer order  Perfect combination: 1 + 1 = 3 !!  AGV technology combined with Pick-by-Voice  In existing environment  Same Infrastructure Same Process and IT solution
  • 13. Concept – eliminate driving Boost productivity in order-picking, time studies told us:  Eliminate non-productive steps – LEAN!  Pickers walk – automated pallet pick-up and dispatch
  • 14. Concept – eliminate driving Boost productivity in order-picking, time studies told us:  Eliminate non-productive steps – LEAN!  Pickers walk – automated pallet pick-up and dispatch Eliminate Waste
  • 15. Simple Solution Generic ROI model – example:  Today pickers spend 30 min on a pick run 7 min  0 min  Preparation for pick run (6 min) Order administration Dispatch  Empty pallet pick-up 6 min  1 min  outbound Stretch  Travel to 1st pick location Empty  Picking first to last pick (17 min) goods wrapping  Dispatching the goods (7 min) Pallet and  Travel to stretch wrapper pick-up labelling  Secure and label goods  Travel to and Drop at correct dock 17 min  15 min  Pickers supported by Pick-n-Go only spend 16 min on same pick run  Preparation for pick run (1 min) Dispatch  Walk to 1st pick location outbound Man-to-Goods  Picking first to last pick (15 min) floor level  No step on / off truck goods  Dispatching the goods (0 min) order-picking  Gain: Pick-n-Go  30 – 16 = 14 min  14 / 30 = 46,7% cut time  Productivity gain: 87,5% 1/(1-0,467) Next pick run 14 min earlier!!  Each picker produce 87,5% more 30  16 min
  • 16. Measurable Result Generic ROI model – example:  Apply 87,5% productivity gain to your operation 7 min  0 min  Replace 50 pickers with 27 pickers, each shift: 50 / 1,875 = 26,7 Dispatch 6 min  1 min outbound Stretch  Reduce operating cost by Empty goods wrapping  23 pickers in two shift (50-27) Pallet and  23 * 2 * €40.000 / year = pick-up labelling €1,8M / year  How many Pick-n-Go trucks 17 min  15 min are needed to support my 27 pickers?  AGVs spend 25 min per pick run Dispatch  4 min preparation outbound Man-to-Goods  15 min picking  6 min dispatching goods floor level  Pickers spend 16 min per pick run order-picking  25 / 16 = 1,56 trucks / picker  27 pickers need 42 trucks Pick-n-Go  50 traditional trucks replaced by 42 Pick-n-Go trucks Productivity gain: 87,5 %  ROI: < 18 months cut 46 pickers / day cut 8 trucks
  • 17. Marktkauf Logistik GmbH The birth of Pick-n-Go:  First two plants started operation Q1 2006  Laichingen  17 automated order-pickers (Jungheinrich EKS)  10 automated stackers (Jungheinrich ERC)  Bielefeld  23 automated order-pickers (Jungheinrich EKS)  17 automated stackers (Jungheinrich ERC)  Logistics Manager (Torsten Winter):  2005 time studies – opportunity to increase Net Picking Time (NPT): 3,30 h/day  6,07 h/day  Improve productivity 80% or  213 kolli/h  385 kolli/h  2007 time studies – productivity increased 100%  Result: 420 kolli/h in average (top pickers: 700-800 kolli/h)  “Best practice in picking”
  • 18. Pick-n-Go at Coop Coop, 2nd largest retailer in Sweden  Main distribution terminal, near Stockholm  Largest DC in northern Europe  130.000 m², 900 employees, 550 warehouse trucks  Serving 700 in-house outlets + 500 “contract stores”  32 automated warehouse trucks, served by 20 pickers in three shifts  Trucks from Toyota Material Handling (BT)  Mixed operation (manual and automated trucks) 32 AGV and 200 manual order-picker trucks  Commercial operation started May 2008  Integrated to existing Pick-by-Voice system in existing environment and processes  Pre-study in Q3 2007 to verify initial idea Concept proven on real data, by simulation  Result: Increased picker productivity by 100% !!
  • 19. Customer Values Business case – Picking process  Operational costs, mainly cost of labor  Productivity gains by 50-125%  Reduce total operating costs by 20-50%  Warehouse trucks  Reduced number of trucks by 10-20%  Increased life time by 50-100%  Increased utilization  Working environment  No collisions – No damaged trucks  No damaged goods or goods carriers  Better ergonomics  Increased capacity  Expand operation in existing environment  Existing plant
  • 20. “Semi Automation” •Mixed fleet operation •Incremental investment/ truck Fixed Automation (AS/RS) Mechanized Picks/Hour Not portable Less flexible Pick-n-Go Long lead-times Standard Trucks Automated Scalable, Flexible and Portable solution Quick time-to-money Provided by Lift truck suppliers Rental, lease or invest Local service Manual Trucks Standard Trucks Investment/Payback
  • 21. Best practices integrated Voice Guided Vehicles – Pick-n-Go® Automated Automated warehouse warehouse trucks trucks Intelligent Software Integrated Warehouse management Hardware and Controls solution  Material flow  Tracking goods  Voice Management  Warehouse Control
  • 22. Time to Pick-n-Go !! Measurable results  Proven technologies, robust results  Applicable to any environments including cold storage  Best practice in order-picking Productivity gains up to 100%  Dramatic cut of operating costs  Increased capacity Danaher Motion uniquely positioned  Serve 80% of all Lift truck OEMs with Motors, Drives, Controls and Software solutions www.Pick-n-Go.com  Pioneer and share leader in AGV
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  • 24. Riga November 05, 2008 © Copyright CDC Software Efficient Distribution and Transportation