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Supply Chain Planning and Optimization of TPDS, Uttarakhand

Supply Chain Planning and Optimization of TPDS, Uttarakhand

India’s TPDS is a magnanimous project encompassing 2000 depots, 8000 warehouses and a network of more than 500,000 Fair Price Shops (FPS) to provide monthly food subsidies roughly among 800 million poor individuals. The present project, based in Uttarakhand, aims to reduce the cost of transportation and ensure the pre-prepositioning of adequate safety stocks in the areas where access is affected by the seasonal and predictable hazards by TPDS supply chain optimization. A mathematical model is developed to supply chain cost incurred to satisfy the demand requirements of FPS for the whole state adhering to the capacity constraints for various warehouses. As a result of it, transportation cost incurred has come down considerably as compared to actual cost incurred for PDS operations across the state of Uttarakhand. Optimal transportation cost reduces by approx. 33% in comparison to the actual cost. Unnecessary movement of food grains between warehouses is also eliminated in the optimal solution as nearly 75 % of total grains are moving directly from warehouses to FPS in optimal network.

Support to FCI – Food Corporation of India and UK TPDS – Uttarakhand Targeted Public Distribution System

FCI – Food Corporation of India
UK TPDS – Uttarakhand Targeted Public Distribution System

Reducing FCI’s annual transportation costs and reduce peaks in inventory levels in grain surplus states in the country with insights into optimal movement plan, additional capacities required across states/warehouses, inter -state stock reallocation, monthly planning decisions etc combined leading to development of strategic annual plan for FCI.

Reducing total transportation costs for Uttarakhand state PDS with the help of optimization algorithm and analytics i.e through understanding of it’s supply chain network,  planning challenges and data. Data analysis and mapping to ensure a thorough understanding of the network complexity and key supply chain considerations.

BUS SCHEDULE OPTIMISATION TOOLKIT

BUS SCHEDULE OPTIMISATION TOOLKIT

Through our effort to optimize the depot-based scheduling of buses under Bangalore Metropolitan Transport Corporation (BMTC), which is India’s one of the largest public transport service providers, a toolkit is developed for effective utilization of its bus fleet. By developing a mathematical model based on Operation Research and Analytics, overlapping trips of buses were reduced, redundant trips were withdrawn and effective redeployment of buses were carried out. This analytically intensive exercise showed promising results in limiting waiting time of passengers, creating additional passenger trips, boosting revenue generation and many more. The initiative was also recognized as a winner of the Smart Move Challenge of the Ministry of Housing and Urban Affairs, Government of India.

Following are the direct impacts:

  1. Overlapping trips in case of BMTC were reduced to 0 from 4143
  2. 2309 redundant trips were removed from timetable
  3. Effective redeployment of 1249 buses were done
  4. Based on the effective redeployment 82 additional buses were available
  5. Additional revenue of ~25.83 crores can be generated annually
  6. ~48,000 daily i.e., 1.75 crore additional passenger trips can be added in the timetable

Smart Warehouse

Smart Warehouse

Every year tons of food grains go waste in India because of widespread inadequacy in storage and infrastructure capabilities. Towards this end, IIT Delhi developed an Internet of Things (IoT) based model of Smart Warehouse which is highly effective in storage management and will ensure rightful utilization of food grains through structured monitoring of various parameters in real time. The warehouse is equipped with state-of-the-art technology like temperature sensors, air quality sensor, passive infrared motion sensors for rodents, phosphine fumigation sensor, missing bag identification and many more. It aims to achieve a significant reduction of food wastage caused because of traditional storage practices.

Sustainable Development Goal 2 (Zero Hunger) Dashboard for Rajasthan

Sustainable Development Goal 2 (Zero Hunger) Dashboard for Rajasthan

 With an objective to visualize the state, district and sub-district data indicators for SDG 2 monitoring, a dashboard is being developed in order to enable evidence-based policymaking and support the efforts of Government of Rajasthan in achieving food and nutrition security in the state. The main expected outcome of this is to have robust SDG-2 dashboard that enables identification of vulnerable hot-spots for strategic planning and targeted action for achieving ‘Zero Hunger’ in the state of Rajasthan.

The functionality of the dashboard splits into four categories, ie, Home Page, State performance, District performance and Rajasthan SDG2-Index. The Homepage is composed of tabs for different SDG 2 targets (like hunger levels, malnutrition, agricultural productivity etc) which will re direct the user to the page displaying state performance with regard to the clicked target status.  The dashboard is designed using JavaScript toolkit and PHP language which provides high quality and rich user interfaces along with efficient database connectivity.

BUS SCHEDULE OPTIMISATION TOOLKIT

BUS SCHEDULE OPTIMISATION TOOLKIT

Through our effort to optimize the depot-based scheduling of buses under Bangalore Metropolitan Transport Corporation (BMTC), which is India’s one of the largest public transport service providers, a toolkit is developed for effective utilization of its bus fleet. By developing a mathematical model based on Operation Research and Analytics, overlapping trips of buses were reduced, redundant trips were withdrawn and effective redeployment of buses were carried out. This analytically intensive exercise showed promising results in limiting waiting time of passengers, creating additional passenger trips, boosting revenue generation and many more. The initiative was also recognized as a winner of the Smart Move Challenge of the Ministry of Housing and Urban Affairs, Government of India.

Following are the direct impacts:

  1. Overlapping trips in case of BMTC were reduced to 0 from 4143
  2. 2309 redundant trips were removed from timetable
  3. Effective redeployment of 1249 buses were done
  4. Based on the effective redeployment 82 additional buses were available
  5. Additional revenue of ~25.83 crores can be generated annually
  6. ~48,000 daily i.e., 1.75 crore additional passenger trips can be added in the timetable

Smart Warehouse

Smart Warehouse

Every year tons of food grains go waste in India because of widespread inadequacy in storage and infrastructure capabilities. Towards this end, IIT Delhi developed an Internet of Things (IoT) based model of Smart Warehouse which is highly effective in storage management and will ensure rightful utilization of food grains through structured monitoring of various parameters in real time. The warehouse is equipped with state-of-the-art technology like temperature sensors, air quality sensor, passive infrared motion sensors for rodents, phosphine fumigation sensor, missing bag identification and many more. It aims to achieve a significant reduction of food wastage caused because of traditional storage practices.