1. The Maharashtra vikas rath is working to create pro-party buzz across Maharashtra in an efficient manner by measuring key performance indicators and ensuring the shortest travel route is taken between districts. 2. Data is provided on the distances between 20 districts in Maharashtra. An optimization model is run to determine the shortest route starting and ending in the same district while visiting each district once. 3. The optimal route is determined to be 7789.3 km starting and ending in Pune.

1. Maharashtra vikas rath
Creating pro party buzz from Pune
By
ARPAN MONDAL

2. Shortest distance travelling across all the districts at least
once = 7789.3 Km .
Here all the distances taken are in Kms.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
District
Mumbai Pune Nagpur Nashik Thane
Aurangab
ad Solapur Palghar Amravati Nanded Akola Dhule Jalgaon Kolhapur Latur Raigad Sangli
Ahmedn
agar
Chandrap
ur Parbhani
starting
from one
1 Mumbai 0 149.3 815.7 167.3 22.7 335 401.9 115 667.4 578.2 568.7 323 411.8 376.4 476.1 103.4 376.2 259.1 863.4 510.5
2 Pune 149.3 0 715.9 211.7 151.2 235.1 253.7 247.2 567.6 440.4 478.5 332.6 389.2 233.6 327.9 127.4 233.3 121.2 736.5 372.7
3 Nagpur 815.7 715.9 0 656.8 787.5 889.1 594.6 807.9 152.3 345.1 250.6 524.1 433.4 911.2 523.8 825.6 778.9 591.4 153.3 392.7
4 Nashik 167.3 211.7 656.8 0 144.2 182.5 423.8 164.7 514.9 453.6 414.3 158.4 246.8 450.7 395.6 234.5 450.4 156.6 710.9 391.5
5 Thane 22.7 151.2 787.5 144.2 0 313.6 407.1 92.2 646.1 551.2 547.4 302 390.4 381.7 481.3 108.6 381 232 842 483.4
6
Aurangab
ad 335 235.1 889.1 182.5 313.6 0 310.8 334 329.8 1236 1142.9 149.6 157.9 434.4 264.5 348.8 434.2 114.6 525.7 194.7
7 Solapur 401.9 253.7 594.6 423.8 407.1 310.8 0 499.7 519.7 251.9 447.4 460.3 460.8 230.4 123.5 379.9 187.3 230.8 562.8 238.1
8 Palghar 115 247.2 807.9 164.7 92.2 334 499.7 0 666.6 605.3 577.5 322.5 410.9 471.5 519.1 198.5 471.3 280.8 862.6 542.4
9 Amravati 667.4 567.6 152.3 514.9 646.1 329.8 519.7 666.6 0 273 105 378.4 287.8 765.6 401.9 680 706.8 445.7 240.1 257
10 Nanded 578.2 440.4 345.1 453.6 551.2 1236 251.9 605.3 273 0 217.8 417.5 366.2 479.2 131.1 553.7 436.1 319.8 323.4 73.8
11 Akola 568.7 478.5 250.6 414.3 547.4 1142.9 447.4 577.5 105 217.8 0 272.3 181.7 677.6 317.5 592 677.3 357.8 324.7 201.9
12 Dhule 323 332.6 524.1 158.4 302 149.6 460.3 322.5 378.4 417.5 272.3 0 91 571.6 468.4 391.7 571.4 229.4 598.2 344
13 Jalgaon 411.8 389.2 433.4 246.8 390.4 157.9 460.8 410.9 287.8 366.2 181.7 91 0 588.2 394.4 480 588 268.4 508 293
14 Kolhapur 376.4 233.6 911.2 450.7 381.7 434.4 230.4 471.5 765.6 479.2 677.6 571.6 588.2 0 350.3 351 46.4 320 789.6 465
15 Latur 476.1 327.9 523.8 395.6 481.3 264.5 123.5 519.1 401.9 131.1 317.5 468.4 394.4 350.3 0 453.5 307.8 239.6 442 115.6
16 Raigad 103.4 127.4 825.6 234.5 108.6 348.8 379.9 198.5 680 553.7 592 391.7 480 351 453.5 0 260.3 254 629.3 488.2
17 Sangli 376.2 233.3 778.9 450.4 381 434.2 187.3 471.3 706.8 436.1 677.3 571.4 588 46.4 307.8 260.3 0 320 747.1 422.4
18
Ahmedn
agar 259.1 121.2 591.4 156.6 232 114.6 230.8 280.8 445.7 319.8 357.8 229.4 268.4 320 239.6 254 320 0 642.6 251.4
19
Chandrap
ur 863.4 736.5 153.3 710.9 842 525.7 562.8 862.6 240.1 323.4 324.7 598.2 508 789.6 442 629.3 747.1 642.6 0 368.6
20 Parbhani 510.5 372.7 392.7 391.5 483.4 194.7 238.1 542.4 257 73.8 201.9 344 293 465 115.6 488.2 422.4 251.4 368.6 0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 19.20926 1
Mumbai Pune Nagpur Nashik Thane
Aurangab
ad Solapur Palghar Amravati Nanded Akola Dhule Jalgaon Kolhapur Latur Raigad Sangli
Ahmedn
agar
Chandrap
ur Parbhani mumbai
149.3 715.9 656.8 144.2 313.6 310.8 499.7 666.6 273 217.8 272.3 91 588.2 350.3 453.5 260.3 320 642.6 0 863.4
7789.3
Efficient road map starting from one city and end with the same city while travelling across all the
district once

3. Solver Options
Max Time 10 sec, Iterations 100, Precision 0.000001
Convergence 0.0001, Population Size 100, Random Seed 0, Derivatives Forward, Require Bounds
Max Subproblems Unlimited, Max Integer Sols Unlimited, Integer Tolerance 5%, Solve Without Integer Constraints
Need to find the best sequence and one city at a single time.
Objective Cell (Min)
Cell Name Original Value Final Value
$Q$29 Pune 7850 7789.3
Please open the
excel sheet.

4. 1. people, processes and systems working together to support efficient
and effective pro-party buzz.
2. Need to measure key performance indicators (KPI's), benchmarks or
previously base-lined indicators that are aligned to the goals and
objectives of the program.
3. shortcomings can be identified and corrected.
4. Using Survey Questionnaire
5. Measuring the quality of services along the supply chain. These
include time, scope, service and cost should be interpreted and used in
combination.
6. The total cost concept focuses on reducing the total cost of logistics
rather than the cost of each activity. An organization should monitor the
cost reduction across the board and evaluate the impact on each of the
logistics components.
1. business process software can be integrated that provides timely
updates regarding the movement of goods.
2. Determining the best delivery route. A logistics firm should opt for
the shortest yet safest route. This is beneficial for saving money as
well as time.
3. Analyze the metrics related to different operations. This includes:
Cycle time metrics
Cost metrics, and
Service metrics

5. Treasure
hunt theme
• Used for
guests to make
them familiar
with party’s
vision.
• Introducing
different
campaigns in
the cities to
create more
buzz.
Slow-mo
Event Reel
• Asking party
guests to
demonstrate a
move showing
their attitude
towards your
party initiatives.
Art in Making
• Use of smart
and artsy
launch party
ideas .
• Bringing a live
art performer
who will drag
people interest
in it.
Use of Flash
banners
• Use of flash
banners may
attract people
more and will
create more
buzz.
Arrangements made to create buzz: