Modelling supply chain network for procurement of food grains in India

Abstract

The procurement of food grains from farmers and their transportation to regional level has become decisive due to increasing food demand and post-harvest losses in developing countries. To overcome these challenges, this paper attempts to develop a robust data-driven supply chain model for the efficient procurement of food grains in India. Following the data collected from three leading wheat producing Indian regions, a mixed-integer linear programming model is formulated for minimising total supply chain network costs and determining number and location of procurement centres. The NK Hybrid Genetic Algorithm (NKHGA) is employed to cluster the villages, along with a novel density-based approach to optimise the supply chain network. Sensitivity analysis indicates that policymakers should focus on creating an adequate number of procurement centres in each surplus state, well before the start of the harvesting season. The study is expected to benefit food grain supply chain stakeholders such as farmers, procurement agencies, logistics providers and government bodies in making an informed decision.

Impact of COVID-19 on logistics systems and disruptions in food supply chain

“…Deterministic demand of fair price shop, adoption of min-max inventory policy at the warehouse, and unlimited supply from the central warehouses, are a few assumptions made to carry out this study. Throughout the network, transportation cost is constant as 0.29 USD/km-kg (Mogale et al 2019a), and it is assumed that no disruption occurs during transportation activities. Earlier, Stewart and Ivanov (2019) proposed a framework for analysing risk and disruption by studying a dynamic system in the humanitarian supply chain that considers saving lives and relieve suffering by delivering food, shelter, medicine, fuel, and other supplies to beneficiaries.…”

Meta-heuristic algorithms for solving the sustainable agro-food grain supply chain network design problem

“…A land network problem was considered in the agro-food network design and solved using linear programming model. Mogale et al (2019) developed a decision support model considering network of purchase centers, central warehouses and fair-value stores for sustainable food grain supply chain. The study adopted multi-objective algorithms to solve the problem and performed sensitivity analysis using multiple scenarios.…”

“…The current procurement system via designated markets (mandis) fail to address the entire country uniformly. The farmers are required to travel large distances to reach the adjacent mandi and numerous times they have to wait to get their grain unloaded in the mandis (Mogale et al, 2019). In India, majority of farmers have small and fragmented landholdings which make them vulnerable to weather risks, lesser surplus crop and money-lenders (Dev, 2012).…”

Identification and ranking of key factors impacting efficiency of Indian shipping logistics sector

“…They found out the significant methods for port managers, which help to recognize the strength and limitations of the ports. For more approached in the broader context, readers may see several papers such as Mogale et al (2018), Mogale et al (2019a), Mogale et al (2019b), De et al (2019, Gupta et al (2019), Singh et al (2020).…”