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oai:dspace.mit.edu:1721.1/1393922022-01-15T04:06:11Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023

Argueta, Chris Mejia Collese, Tatiana Sadalla Das, Sanchita Massachusetts Institute of Technology. Supply Chain Management Program 2022-01-14T15:08:47Z 2022-01-14T15:08:47Z 2021-06 2021-06-08T18:48:28.365Z https://hdl.handle.net/1721.1/139392 WHO reports that in the South Asian region, the number of undernourished has hardly decreased in the last decade. This situation calls for a concerted effort to combat malnutrition the world over. The effort must be grounded in nutrition and executed through a robust distribution mechanism to reach all segments of the society. In this thesis, we take a step in that direction by combining expertise from the supply chain and nutrition areas to address protein-energy malnutrition among poor households in India. While the country is the largest producer of pulses, milk, and other dairy products, and many food grains, Indian diets are traditionally low in protein intake, especially among the poor. Within our scope of the problem, we target the poorest households in India, which currently hold the Antyodaya Anna Yojana ration cards from the Government of India. We develop a framework to improve their diet diversity nutritionally. We propose matching the demand of food (as recommended by Indian Council of Medical Research for a balanced diet) with locally available, culturally preferred supply by designing ‘customized food baskets’ for different consumer clusters. We suggest distributing the proposed food baskets at scale to all target households via the government Public Distribution System mechanism operational in India. We use PCA and K-means clustering to segment the customers, create a food basket model inspired by the knapsack problem, and use a Mixed Integer Linear optimization program to solve the distribution problem. The key contribution of this thesis is a framework of basket assortment and distribution. The approach is generalizable and can be used on many different customer types and (public or private) distribution channels to match demand with supply of nutritious assortments and enable delivery at scale. We can serve 65 to 75% of recommended daily quantity of cereals and pulses to our target households via the proposed framework. M.Eng. Massachusetts Institute of Technology In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ Delivering Locally Sourced Nutritious Food to Indian Households Thesis application/pdf Master Master of Engineering in Supply Chain Management Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="141bf330-6cdb-4c75-bb8d-a4675c50b577"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Title>Delivering Locally Sourced Nutritious Food to Indian Households</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2021-06</PublicationDate> <Authors> <Author> <DisplayName>Das, Sanchita</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://rightsstatements.org/page/InC-EDU/1.0/</License> <Abstract>WHO reports that in the South Asian region, the number of undernourished has hardly decreased in the last decade. This situation calls for a concerted effort to combat malnutrition the world over. The effort must be grounded in nutrition and executed through a robust distribution mechanism to reach all segments of the society. In this thesis, we take a step in that direction by combining expertise from the supply chain and nutrition areas to address protein-energy malnutrition among poor households in India. While the country is the largest producer of pulses, milk, and other dairy products, and many food grains, Indian diets are traditionally low in protein intake, especially among the poor. Within our scope of the problem, we target the poorest households in India, which currently hold the Antyodaya Anna Yojana ration cards from the Government of India. We develop a framework to improve their diet diversity nutritionally. We propose matching the demand of food (as recommended by Indian Council of Medical Research for a balanced diet) with locally available, culturally preferred supply by designing ‘customized food baskets’ for different consumer clusters. We suggest distributing the proposed food baskets at scale to all target households via the government Public Distribution System mechanism operational in India. We use PCA and K-means clustering to segment the customers, create a food basket model inspired by the knapsack problem, and use a Mixed Integer Linear optimization program to solve the distribution problem. The key contribution of this thesis is a framework of basket assortment and distribution. The approach is generalizable and can be used on many different customer types and (public or private) distribution channels to match demand with supply of nutritious assortments and enable delivery at scale. We can serve 65 to 75% of recommended daily quantity of cereals and pulses to our target households via the proposed framework.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>