Are you fascinated about the application of Management Science to everyday problems? Do you believe such applications change the world little by little and make it a better place? Do you want to get your hands on models and help us do that? Help us build the best food collection optimization route model for one of the world´s biggest Food Bank: Mexico City´s! Join our systems project! Mexico City's Food Bank Collection Optimization Routes

1. MEXICO CITY’S FOOD BANK
FOOD FOR ALL
Food Collection Optimization Model and Innovation Toolkit

2. About our client:
• Alimento Para Todos (Food For All) is Mexico´s City Food Bank and the largest food
bank in Mexico.
• It is a not-for-profit organization that collects, manages and redistributes 1,000
tons of food every month and serves more than 45,500 beneficiaries on a weekly
basis.
OPERATION
Collection and
Food Collection Food Delivery and
Packages Alimentary Aid in
Food Selection and
Gathering Pick Up by
Delivery Cases of
Nutritional Packages
Of Food Beneficiaries Emergencies

3. About their clients:
Beneficiaries: 111 institutions & 70 communities Donors: markets and grocery stores
- 49.3% Children and Youth - 103 Wal Mart Stores: 202 tons
- 5.8% Elderly Adults - 18 Comercial Mexicana Stores: 12 tons
- 23.0% Adult Females
- Mexico City’s Central Market: 159 tons
- 18.2% Adult Males
- 1.8% Sick - Mexico City’s Flower Market: 25 tons
- 1.9% Disabled

4. About the project
• The objective of the project is to strengthen Food For All´s
business model and internal processes by creating a food
collection optimization model and a toolkit of innovative
management tools which will boost efficiency in the food
collection routes.
• Our toolkit will:
– Aid the food bank in achieving its mission to reduce nutritional
problems in vulnerable population groups,
– Strengthen its business model by systemizing its internal
processes and,
– Foster institutional growth and the exportation of the
institutional model to other smaller and younger food banks in
the region.

5. Risk Solver Optimization Route and
Simulation Model
• What is the problem?
The current collection routes are assigned by hand and
imply large gas and time costs to the food bank. Other
problem that pertains to the food collection routes is
that food integrity is not guaranteed.
• How would you solve it?
By building a mathematical model that will reflect the
needs and constraints of the collection routes, exploring
alternatives to minimize costs and simulating different
scenarios for traffic.

6. Access Database
• What is the problem?
Our systems project will generate lots of new information in
different formats (.doc, .xls, etc.) which will need to be
organized for effective managerial decision making.
• How would you solve it?
You would build a database that will
integrate data about drivers, trucks
(capacity), routes’ sequence, stores,
average donation per store, etc and if
possible integrate it to the current Food
Bank´s information system.

7. Program Evaluation Plan
• What is the problem?
Assuring the success of the recommendations and providing
the food bank with a systematic way of collecting and
storing information for better decision making.
• How would you solve it?
– Logic Model
– Surveys
– Results Database
– Implementation guide

8. Site Selection Tool
• What is the problem?
The volume-distance relation of any given store is
disproportional and the cost of fuel and time exceed
the benefits gained by such donations.
• How would you solve it?
– With a tool that will rank and evaluate the
donation sites.
– The model will assign a weight based on the
importance of the client´s indicators.

9. GIS Network Analysis
• What is the problem?
Due to traffic and each store´s time windows not all
the donation sites are reached on time and
donations are lost.
How would you solve it?
• Using GIS network analyst,
you would do a vehicle
routing project to provide the
optimal combination of routes
for each vehicle.

10. About our amazing advisor: Stephen Roehrig
• Teaching
- Management Science I for MISMS
- Intermediate Management Science
- Object Oriented Analysis & Design
- Object Oriented Programming in Java
- Decision Making Under Uncertainty
• Research Interests:
– Relational database and data warehousing theory and practice,
– Privacy and confidentiality in large databases,
– Computational models of defeasible reasoning,
– Uncertainty management in artificial intelligence,
– Use of numerical methods for logical inference
• Publications:
The list was so large we could not dream of fitting it!
If you haven´t had the chance to work with Professor Roehrig, this is it!!!!!!

11. For more information:
www.alimentoparatodos.org.mx