MWPVL International
Supply Chain | Experience
Trends in Distribution
Center Automation
Marc Wulfraat
(514) 482-3572 x 100
October 5, 2015
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Abstract
Changing demographics are no longer a future problem for the next generation to worry about. North American companies are already having a tough time attracting and retaining people to work in their logistics and distribution operations. Shortages in logistics/trucking labor have become a real issue but now the labor shortage issue is starting to impact distribution operations. The growth in e-commerce is adding fuel to the fire. North Americans are starting to understand what the Europeans have been living with for the past several decades.
This presentation talks to why there will be major growth in the North American automated material handling industry and what technologies will be in demand going forward.
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Page 3MWPVL
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Supply Chain | Experience
Background Information on MWPVL International
Global Demographics and Supply Chain Trends
Agenda
Why Automation is Poised to Take Off
Automation Systems – Pallet, Case, Each
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About MWPVL International
We are consultants in Supply Chain and Logistics
Founded in 2006
Privately-held Partnership
HQ Montreal, Canada; Sister company in Paramus, NJ
200+ projects completed
Consulting Services:
₋ Supply Chain / Logistics Strategy and Flow Path Strategy
₋ Distribution Center Design & Engineering
₋ Supply Chain Technology and Automation
₋ Operational Assessments
₋ Insourcing & Outsourcing
₋ Purchasing
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MWPVL.com Knowledge Center
MWPVL.com is now the leading web site in the supply chain consulting industry
Knowledge center - hard hitting content with substance
70+ White Papers & Articles₋ Distribution network strategies of
leading companies
₋ Automation technologies under the microscope
₋ Leaders - Who is doing what?
WMS/TMS/YMS Industry Directories
Free - No registration required
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Qualifying Statements
MWPVL is strictly unbiased in its views and opinions towards the companies discussed in this presentation
Any errors or omissions are unintended and we have made every effort to report accurate information
We have not received payment of any kind to prepare and present these materials
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Page 7MWPVL
International®
Supply Chain | Experience
Background Information on MWPVL International
Global Demographics and Supply Chain Trends
Agenda
Why Automation is Poised to Take Off
Automation Systems – Pallet, Case, Each
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Page 8MWPVL
International®
Supply Chain | Experience
Age Dependency Ratio (ADR)
Age Dependency Ratio (ADR)
Proportion of Dependents (<15 yrs or >64 yrs) per 100 Working Age People (15 – 64 yrs)
A small ADR is good because this means that there are less dependent people to be supported by the working population
Conversely a large ADR is bad for the opposite reason
ADR =
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Age Dependency Ratio (% of Dependent Population) Forecast by Country (Source: World Bank)
Country 2010 2015 2020 2025 2030 2035 2040 2045 2050 Trend
AUSTRALIA 48.0 51.3 55.2 58.6 60.8 61.4 62.7 63.4 66.1 ↑
BRAZIL 48.0 44.9 42.9 43.7 45.4 46.9 48.7 51.8 56.3 ↑
CANADA 43.9 47.3 52.7 58.5 63.2 64.0 63.3 63.4 65.1 ↑
CHINA (excluding
TAIWAN)
38.2 37.4 40.1 41.8 44.5 50.9 57.3 59.1 61.8 ↑
DENMARK 52.6 56.1 58.0 60.2 63.8 67.5 69.2 68.8 67.1 ↑
FRANCE 54.2 58.1 61.6 64.2 66.6 68.5 70.2 70.2 70.6 ↑
GERMANY 51.2 52.2 55.6 61.4 70.2 77.7 78.0 77.7 78.3 ↑
INDIA 55.1 51.8 50.1 48.4 47.1 46.2 45.9 46.4 47.4 ↓
JAPAN 56.4 63.1 67.1 68.4 69.7 73.3 81.2 86.5 89.3 ↑
MEXICO 54.9 51.6 49.3 48.0 48.0 48.9 51.0 52.6 53.9 ↓
RUSSIAN FEDERATION38.6 42.5 47.7 51.6 53.2 51.9 53.8 58.2 65.5 ↑
SPAIN 46.9 50.2 52.0 53.5 56.6 61.9 69.5 78.1 82.1 ↑
UNITED KINGDOM51.4 54.7 57.2 59.1 62.0 64.7 65.8 66.1 67.9 ↑
UNITED STATES 49.6 52.5 56.0 59.8 62.8 63.2 62.9 62.5 63.8 ↑
This data shows the proportion of dependents per 100 working-age population by country.
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Ageing Populations > 65 Years for 10 Industrialized Countries
Country
Population 65+
(Millions)
Total
Population
(Millions)
% of
Population
Population 65+
(Millions
Total
Population
(Millions)
% of
Population
Population 65+
(Millions
Total
Population
(Millions)
% of
Population
Japan 32.9 127.2 25.9% 37.5 116.6 32.2% 4.6 -10.6 6.3%
Germany 17.0 80.6 21.1% 21.8 79.8 27.3% 4.8 -0.8 6.2%
Italy 13.1 62.4 21.0% 15.9 62.3 25.5% 2.8 -0.1 4.5%
France 12.0 65.6 18.3% 15.9 67.9 23.4% 3.9 2.3 5.1%
Spain 8.4 47.7 17.6% 9.7 44.3 22.0% 1.3 -3.4 4.4%
United Kingdom 11.0 62.9 17.5% 15.2 71.4 21.3% 4.2 8.5 3.8%
Canada 6.0 34.7 17.3% 9.6 38.6 24.9% 3.6 3.9 7.6%
Ukraine 7.0 44.0 15.9% 9.3 42.2 22.0% 2.3 -1.8 6.1%
Poland 5.7 38.0 15.0% 8.7 37.7 23.1% 3.0 -0.3 8.1%
United States 46.0 317.2 14.5% 73.6 362.6 20.3% 27.6 45.4 5.8%
10 Countries 159.1 880.3 18.1% 217.3 923.4 23.5% 58.1 43.1 5.5%
2014 2030 Difference
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The Shrinking Labor Pool in North America
Today 52.5 Americans who do not work are dependent on the 100 Americans who do work.
By 2030, this figure will be 62.8
This of course is because aging baby boomers are moving out of the workforce
The US Census data below expresses this another way and indicates a 5.4% shrinkage of the labor pool is forthcoming
Percentage of the U.S. Population
Age 2010 2020 2030 2040 2050
Under 20 27.1 26.6 26.2 25.8 25.7
65 Years+ 13.0 16.0 19.3 20.0 20.2
SubTotal Dep. 40.1 42.6 45.5 45.8 45.9
Age 21-64 59.9 57.4 54.5 54.2 54.1
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2010 Versus 2030 U.S. Labor Force Projections
310.2 m
2010
185.8 m
373.5 m
223.7 m
2030
203.7 m
Total US Population (Millions)
Projected Potential Labor Pool: Population Aged 21 – 64 (Millions)
Labor Pool (Millions) proportional to 2010 demographics
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What the Impact of Demographics Means for America
By 2030 we will experience a 5.4% labor pool reduction of approximately 20 million people
In other words, relative to today’s workforce, have 20 million less people to get the jobs done - a 5.4% reduction
It is highly likely that much of this labor reduction will come from blue collar logistics jobs as the forthcoming generation is more technology-literate
Further, we can expect these shortages to be pronounced in logistics centroids where blue collar labor is concentrated.
This has massive implications on the workforce of tomorrow and provides a strong indicator that strong growth in distribution automation is inevitable.
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The Migration of Automation from Europe to North America
Over the past 20 years, automation has been slowly migrating from Europe to North America
Western and Eastern European Fast Moving Consumer Goods (FMCG) companies have for many years viewed automation as a critical requirement to maintaining competitive advantage due to the high cost of labor and land.
We now are witnessing the same trend starting to take place in North America
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North American Grocery Industry
Our firm tracks the top 75 Grocery companies in North America and we have a developed a detailed database of all distribution centers for these companies that represent $1 Trillion of sales.
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North American Grocery Industry
The North American grocery industry has traditionally been slow to embrace automated material handling systems due to the industry’s slim net margins that are typically in the range of 2.0% or less.
In the 1980s, the top 75 North American grocery companies were almost exclusive running with conventional distribution centers. Attempts at automation and mechanization were largely being dismantled because the costs to operate equipment were higher than using labor.
Fast forward to 2015 and we see a noticeable change in adaptation rate taking place in an industry that has traditionally been conservative.
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Use of DC Automation: Top 75 Grocery Firms in North America
DC Type No. of DCs % of TotalDCs
Sq Ft(Millions)
% of TotalSq Ft
Conventional 590 92.0% 282.5 87.7%
Semi-Automated 28 4.4% 19.7 6.1%
Fully Automated 23 3.6% 19.9 6.2%
Total Top 75 641 100% 322.1 100%
The retail / wholesale grocery industry is historically the most labor-intensive sector in the distribution industry because food is the product that we consume the most of. Over the past two decades the industry has gone from being completely conventional to the point where 8.0% of the North American grocery distribution centers (12.3% of the sq. ft.) have some type of automation being used.
We fully expect this trend to increase sharply over the next decade as companies are finding it increasingly difficult to attract and retail labor resources.
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The Rise of E-Commerce
$167.3 $194.3
$225.3
$263.3
$304.1
$347.3
$392.5
$440.4
$491.5
4.4%4.7%
5.2%
5.9%
6.4%7.0%
7.6%8.2%
8.9%
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
8.0%
9.0%
10.0%
$-
$100.0
$200.0
$300.0
$400.0
$500.0
$600.0
2010 2011 2012 2013 2014 2015 2016 2017 2018
$ B
illio
ns
U.S. E-Commerce Retail Sales Forecast 2010 - 2018
U.S. Retail E-Commerce Sales $Billions E-Commerce as a % of Total Retail Sales"
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Page 19MWPVL
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Supply Chain | Experience
Amazon Fulfillment & Sortation Center Facilities in North America
2 2 6 7 7 5 6 6 10 11 16
20 22 24
35
43
55
63
70 76
12
18 19
-
10
20
30
40
50
60
70
80
90
100
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
20
10
20
11
20
12
20
13
20
14
20
15
20
16
Amazon Fulfilment & Sortation Centers in North America
Amazon Fulfilment Centers Amazon Sortation Centers
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Big Retailers, Delivery Firms Face Struggle to Find Holiday WorkersE-Commerce Boom, Low Unemployment Expected to Force Increases in Starting Pay
2015 Seasonal Hiring Estimates: Amazon 80,000 Walmart 60,000 Target 70,000 Kohls 69,000 Macys 85,000 Toys R Us 40,000 FedEx 55,000 UPS 90,000 Subtotal 549,000
2015 Q4 Estimate for total retail hiring is 755,000 workers
In some areas unemployment is as low as 3.0% – 3.5%
Wage rates increasing by up to 10% as companies compete for resources. Source: The Wall Street Journal, Sep. 15, 2015
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Growth in E-Commerce is Driving Growth in Automation
Amazon is the driving force behind growth in the e-commerce sector
At least 47 of Amazon’s fulfillment centers around the world have 1,000+ people working inside the building
Handling of retail units is extremely labor intensive so as e-commerce grows the demand for more warehouse and trucking labor will increase disproportionately faster
This trend will further increase the demand for automation technologies
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Amazon Rolling Out KIVA Automation in their 8th / 9th Generation FCs
Paid $775 Million for KIVA
Recently rebranded as Amazon Robotics
Amazon now has 15,000 KIVA robots deployed at 10 FCs as at YE14
Online orders now being processed in as little as 15 minutes with Kiva robots
These machines cannot be applied to every FC due to facility constraints
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Supply Chain | Experience
Efficiency Gain from Kiva Automation at a Small Sortable FC
Manual
Environment
Direct Labor
Job FunctionLow High Average
Base
Wage RateFB%
Full
Loaded
Wage
Rate
Labor Cost
per
Item
Shipped
Receiving 250 500 375 11.50$ 30% 14.95$ 0.040$
Putaway 80 100 90 11.50$ 30% 14.95$ 0.166$
Picking 75 150 113 11.50$ 30% 14.95$ 0.133$
Packing 120 240 180 11.50$ 30% 14.95$ 0.083$
Shipping 500 640 570 11.50$ 30% 14.95$ 0.026$
0.448$
KIVA
Automation
Direct Labor
Job FunctionLow High Average
Base
Wage RateFB%
Full
Loaded
Wage
Rate
Labor Cost
per
Item
Shipped
Receiving 250 500 375 11.50$ 30% 14.95$ 0.040$
Putaway 320 400 360 11.50$ 30% 14.95$ 0.042$
Picking 225 450 338 11.50$ 30% 14.95$ 0.044$
Packing 120 240 180 11.50$ 30% 14.95$ 0.083$
Shipping 500 640 570 11.50$ 30% 14.95$ 0.026$
0.235$
0.213$
47.6%
Total Labor Cost per Unit Using GTP Automation
Projected Labor Savings per Item Shipped
Projected Labor Savings as a % of Total Direct Labor
Estimated Units per Hour
(UPH)
Labor Cost
Total Labor Cost per Unit Using Manual Labor
Estimated Units per Hour
(UPH)
Labor Cost
This is a responsible attempt to deconstruct and reconstruct the expected productivity rates at a typical Amazon small sortable fulfillment center using a manual versus automated GTP KIVA system.
These results indicate a 47.6% reduction in labor cost per unit for each unit moved through the automation system.
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Automation – Pallet/Case/Unit Handling Systems
Pallet Systems Case/Tote Systems Unit Systems
ASRS Miniload ASRS A-Frames
Pallet Shuttle Systems Automated Pallet Delayering Systems
Automated Dispensers
Overhead Monorails Automated Layer Picking Systems
Goods to Person Shuttle Systems
Inverted Monorails Automated Full Case Selection Systems
Autostore System
AGVs / LGVs Gantry Case Palletizers Automated Unit Picking Robots
Horizontal Pallet Conveyors& Vertical Elevators
Mixed Case Palletizers Automated Sortation Systems
Automatic Stretch Wrappers Goods to Person Shuttle Systems
Automated Packaging Systems
Automated Truck Loading Systems
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Conclusions
North American companies are already having a tough time attracting and retaining people to work for their logistics and distribution operations.
The North American labor shortage issue is starting to impact distributors and retailers.
Growth in e-commerce is adding fuel to the fire.
North America is starting to look like Europe 20 years ago when automation started to become the ‘norm’
Changing demographics will drive major growth in the North American automated material handling industry and the automation of unit/piece handling will be in significant demand due as companies look for ways to reduce their reliance on labor, particularly in the retail e-commerce sector.
MWPVL International
Supply Chain | Experience
Trends in Distribution
Center Automation
Marc Wulfraat
(514) 482-3572 x 100
October 5, 2015