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109 207 246 Dark 1 255 255 255 Light 1 131 56 155 Dark 2 0 99 190 Light 2 85 165 28 Accent 1 214 73 42 Accent 2 185 175 164 Accent 3 151 75 7 Accent 4 193 187 0 Accent 5 255 221 62 Accent 6 255 255 255 Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple 25 % 255 242 171 Yellow 50 % 255 249 213 Yellow 25 % 229 205 186 Brown 50 % 248 241 235 Brown 25 % 180 213 154 Green 50 % 214 231 200 Green 25 % 241 240 202 Light Green 50% 251 251 241 Light Green 25% Title and Content IIT Mumbai First and Last Leg Optimization CONFIDENTIAL May, 2012

IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

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Page 1: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

109207246

Dark 1

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Light 1

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Dark 2

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Light 2

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Accent 1

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Accent 2

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Accent 3

151757

Accent 4

1931870

Accent 5

25522162

Accent 6

255255255

Hyperlink

23613729

Followed Hyperlink

127175221

Tata Blue 50%

203215238

Tata Blue 25%

179149197

Purple 50 %

212195223

Purple 25 %

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Yellow 50 %

255249213

Yellow 25 %

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Brown 50 %

248241235

Brown 25 %

180213154

Green 50 %

214231200

Green 25 %

241240202

Light Green 50%

251251241

Light Green 25%

Title and Content

IIT Mumbai – First and Last Leg Optimization

CONFIDENTIAL

May, 2012

Page 2: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

Freight Flow -1

Pickup

Delivery

Page 3: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

Freight Flow -2

CFS Origin Port

CFS/ DestinationWarehouse

Destination

PortSeller

Customers

Page 4: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

Freight Flow - 3

Page 5: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

Trucking Industry Level Challenges

Infrastructure Issues and Challenges

– Congestion

– Operational inefficiencies

– Non standard trucks

– Under utilization of infrastructure available.

– Supply demand mismatch

Institutional Issues

– Highly Fragmented industry

– Manual, non-uniform or discrete processes across the industry

– Non-availability of Quality manpower

Technological Issues

– Old technology

– Adoption of new technologies is expensive

– No clear Return on Investments for New Technologies

– Manual processes leading to operational inefficiencies

Page 6: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

Solutions and Strategies (Largely Capital intensive)

Vehicle Size and Delivery Time Regulations

Load Consolidation and Load Factor Efficiency (Load consolidation, or

co-loading)

Urban Distribution Centers

Freight Villages - Different from urban distribution centers, but similar

in concept. Freight villages are planned unit developments specifically

designed for multi-modal freight transfer within a secured perimeter.

Delivery Tunnels - In Helsinki, freight tunnels for underground trucking

are planned

Dedicated freight corridors – are they really helping urban areas ?

6

Page 7: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

Inefficiencies in the current process

Pickup driver has to visit the terminal to collect the list of pickups

Planning for linehaul, cross-docking, resource requirements, delivery

plans etc are not possible till the goods reaches to the terminal

There is no update on the status of delivery till the driver reports back

to the terminal.

This process is time consuming and lead to inefficiencies such as

• missed pickups and missed appointments,

• excessive waiting times during pickups and deliveries

resulting in additional driver hours and under utilization of

trucks

• postponing pickups

• additional kilometers operated by drivers thus additional fuel

consumption and choking of traffic

• no clue on the traffic situation on the network – no route

guidance

7

Page 8: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

Solution Components and Business Model

8

• Vehicle Tracking System - Telematics

• Pickup and Delivery Management System – to plan the pickups and

deliveries

• Handheld Mobile devices – Scanner, data logger etc

• Route Planner to generate optimal routes

• Central Server and communication systems

• Transportation Management System

• Platform based solution

From Trucking companies Perspective• Trucking company can register with minimum fee

• Trucking companies can pay as per use

• Opex and No capital investments – Transaction based

• Can withdraw when not required

• No technology skills required

• Improved visibility of shipments, high asset utilisation, less fuel costs and customer satisfaction

From Service Provider perspective• Multiple trucking companies can be hosted on single software platform.

• Other services such as reports, performance indicators can be sold as value added services

From City/Governance perspective• Less Pollution and congestion

• Real time and accurate data for traffic alerts

• Trustworthy and huge volume of data for / Freight Modelling/ infrastructure planning and real time

decisions

Solution Components

Benefits

Page 9: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

Overview – An example for Auto Route Generation

9

Page 10: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

As-Is Routes

10

Features considered

• Routes are planned for a region.

• A truck will be assigned/reserved

for route

• Static route is generated by the

route planner

• Dispatcher assigns new stops to

the route manually as and when

new orders are to be handled

4 Trucks

Deployed

Total Truck KM 126

Parameters for comparison

Page 11: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

To-Be Routes

11

Features considered

• No region based routes

• Routes will be developed as per the

order/stop locations

• Algorithm based route generation

• Optimises the number of trucks required

rather than the truck-km

3 Trucks Deployed

Total Truck KM 135

Parameters for comparison

Page 12: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

Data for Analysis

12

Available Data for Analysis

• Driver Data

• Equipment Data

• Order Data

• Trip Data

• Stop Data (including Stop to Stop Distance Data)

Output Expected

• Optimized Route with route parameters

Page 13: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

Business Benefits

13

• Reduced P&D Costs (They represent around 30% of total cost in the case of

road based movement)

• Improved Route Planning

• Effective Equipment utilization

• Effective Utilization of Drivers

Page 14: IIT Mumbai First and Last Leg Optimization · Hyperlink 236 137 29 Followed Hyperlink 127 175 221 Tata Blue 50% 203 215 238 Tata Blue 25% 179 149 197 Purple 50 % 212 195 223 Purple

109207246

Dark 1

255255255

Light 1

13156155

Dark 2

099190

Light 2

8516528

Accent 1

2147342

Accent 2

185175164

Accent 3

151757

Accent 4

1931870

Accent 5

25522162

Accent 6

255255255

Hyperlink

23613729

Followed Hyperlink

127175221

Tata Blue 50%

203215238

Tata Blue 25%

179149197

Purple 50 %

212195223

Purple 25 %

255242171

Yellow 50 %

255249213

Yellow 25 %

229205186

Brown 50 %

248241235

Brown 25 %

180213154

Green 50 %

214231200

Green 25 %

241240202

Light Green 50%

251251241

Light Green 25%

Title and Content

Thank You

http://www.tcs.com

CONFIDENTIAL

May, 2012