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Ne Network D k Des esign F ign For M Mid id-da day y Me Meal Prog ogram Priyanka Singh | Afsaruzzaman Noor Capstone Project Adviser: Tim Russell 1 Ov Overvie iew of Ak Akshaya Pa Patra The World's Largest NGO-Run Mid-Day Meal

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SLIDE 1

Ne Network D k Des esign F ign For M Mid id-da day y Me Meal Prog

  • gram

Priyanka Singh | Afsaruzzaman Noor Capstone Project Adviser: Tim Russell

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SLIDE 2

Ov Overvie iew of Ak Akshaya Pa Patra

The World's Largest NGO-Run Mid-Day Meal Program Serving Wholesome School Lunch to Over 1.7 Million Children in 14,173 Schools Across 12 States in India.

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SLIDE 3

Ak Akshaya Patra Video

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SLIDE 4

Pr Problem State atement

What would be the optimal centralized kitchens network design for Akshaya Patra to serve all the public schools of UP?

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Ge Geographic Sc c Scope

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Wh Why th the p e projec ect is t is s sig ignif ific ican ant t

Number of children served in UP state = 0.21M Minimum cost to open one centralized kitchen is 10M INR. Capacity of centralized kitchen is 250,000 meals

2 4 6 8 10

2008 2016 2020

  • NO. OF CHILDREN (IN

MILLIONS)

9.4M* 8.4M 6.7M

Growing demand of mid-day meal

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SLIDE 7

Cu Current Supply chain proc

  • cess

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SLIDE 8

Ki Kitchens

Centralized kitchens Decentralized kitchens

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Literature Review

  • Perishability challenge
  • Harvard case study
  • Optimization
  • Food delivery
  • Cross docking

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Cr Cros

  • ss doc
  • cking

Cross docking Point (loading/unloading zone)

Food delivery to blocks and then schools in mid-size truck with capacity 900 kg

Block Block Block Block Block

Delivery in large truck with capacity 9000 kg

Centralized Kitchen

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Me Method

  • dol
  • log
  • gy

Locate potential sites

  • f centralized

kitchens Interview with Akshaya Patra and collect data Analyze current supply chain Formulate model utilizing MILP Test various scenarios

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Pr Problem Formulat ation

  • Candidate locations for kitchens and cross docking facilities

66 cities within Uttar Pradesh

  • Customers

1076 blocks (157 schools on average with 50 kids in each school)

  • Data

66 by 1076 matrix each for distance and time (each city to each block)

Goal:

MINIMIZE Kitchen set up cost + Delivery cost Subject to Constraints- Demand, Supply, Time, Co-location, Flow conservation

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Me Method

  • dol
  • log
  • gy….

Va Various Scenarios For Network design

  • 1. Network design without capacity constraint
  • 2. Network design with capacity constraint
  • 3. Network design with insulated containers
  • 4. Network design considering currently opened kitchens
  • 5. Network design with cross docking and capacity constraint
  • 6. Network design with cross docking and insulated containers

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Cos Cost analysis for

  • r on
  • ne year (a

(all sc scenarios) s)

Sc Scen enarios Ne Network Designs Fi Fixed cost (up fr front)-a a (INR) Tr Transportation cost (1 day)- b b (INR) On One year total cost- a a + b*225 (I (INR NR) Sc Scen enario 1 Without capacity constraint 100,000,000 6,296,264 1,516,659,400 Sc Scen enario 2 With capacity constraint 370,000,000 3,280,810 1,108,182,250 Sc Scen enario 3 With insulated containers 360,000,000 4,590,560 1,392,876,000 Sc Scen enario 4 Considering currently

  • pened kitchens

370,000,000 3,297,892 1,112,025,700 Sc Scen enario 5 With Cross docking and capacity constraint 380,000,000 2,969,716 1,048,186,100 Sc Scen enario 6 With Cross docking and insulated containers 370,000,000 2,763,304 991,743,400

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Cos Cost analysis for

  • r on
  • ne year (G

(Graph)

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Cos Cost analysis for

  • r on
  • ne year (a

(all sc scenarios) s)

Sc Scen enarios Ne Network Designs Fi Fixed cost (up fr front)-a a (INR) Tr Transportation cost (1 day)- b b (INR) On One year total cost- a a + b*225 (I (INR NR) Sc Scen enario 1 Without capacity constraint 100,000,000 6,296,264 1,516,659,400 Sc Scen enario 2 With capacity constraint 370,000,000 3,280,810 1,108,182,250 Sc Scen enario 3 With insulated containers 360,000,000 4,590,560 1,392,876,000 Sc Scen enario 4 Considering currently

  • pened kitchens

370,000,000 3,297,892 1,112,025,700 Sc Scen enario 5 With Cross docking and capacity constraint 380,000,000 2,969,716 1,048,186,100 Sc Scen enario 6 With Cross docking and insulated containers 370,000,000 2,763,304 991,743,400

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Co Cost t analysis for r fiv five years

(Mo (Model el consider ers upfr front t cost t and 1 day del eliver ery cost) t)

Sce Scenarios Ne Network Desig igns ns Fi Fixed cost (up fr fron

  • nt)-a

a (INR NR) Tr Transportation cost (1 day)- b b (INR NR) Fi Five year total cost- a+ a+b*225* 225*5 5 (I (INR) Sce Scenario 2 With capacity constraint 370,000,000 3,280,810 4,060,911,250 Sce Scenario 3 With insulated containers 360,000,000 4,590,560 5,524,380,000 Sce Scenario 5 With Cross docking and capacity constraint 380,000,000 2,969,716 3,720,930,500 Sce Scenario 6 With Cross docking and insulated containers 370,000,000 2,763,304 3,478,717,000

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Cos Cost analysis for

  • r five years

(Mo Model el consider ers upfr front t cost t and 1 day del eliver ery cost)

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Co Cost t analysis for r fiv five years

(Mo (Model el consider ers upfr front t cost t divided ed by 5 and 1 yea ear del eliver ery cost) t)

Scenarios Network Designs Fixed cost for 1st year (up front by five)- a (INR) Transportation cost (1 year)- b (INR) Five year total cost- a+b*5 (INR) Scenario 2 With capacity constraint 590,000,000 619,006,050 3,685,030,250 Scenario 3 With insulated containers 590,000,000 618,988,500 3,684,942,500 Scenario 5 With Cross docking and capacity constraint 420,000,000 632,166,602 3,580,833,010 Scenario 6 With Cross docking and insulated containers 420,000,000 604,595,507 3,442,977,535

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Cos Cost analysis for

  • r five years

(Mo (Model el consider ers upfr front t co cost divided by 5 and 1 year delive very co cost)

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Fiv Five e year ears’ cost t compar paris ison

Network designs scenarios Five year cost analysis (in INR) 5 years Total cost (Model considers upfront cost and 1 day delivery cost)

  • No. of

Kitchens

  • pened

5 years Total cost (Model considers upfront cost divided by 5 and 1 year delivery cost)

  • No. of

Kitchens

  • pened

With capacity constraint 4,060,911,250 37 3,685,030,250 59 With insulated containers 5,524,380,000 36 3,684,942,500 59 With Cross docking and capacity constraint 3,720,930,500 38 3,580,833,010 42 With Cross docking and insulated containers 3,478,717,000 37 3,442,977,535 42

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Fiv Five e year ears’ cost t compar paris ison

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Li Limitations

  • Truck Size
  • Truck Utilization (36% are under utilized)
  • Decentralized kitchen
  • Cross docking cost
  • Cost of insulated containers
  • Cost of inbound transportation
  • Cost of setting up kitchens in different locations

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Con Conclusion

  • n

From our analysis, we found that investing in

  • insulated containers (increasing the food serving time limit from four

to six hours) along with

  • consolidated deliveries within cities

provides the most attractive solution (Scenario 6)*

* Remember the model considers upfront fixed cost and 1 day of delivery cost

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