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M K Tiwari - One of the best experts on this subject based on the ideXlab platform.
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modelling of sustainable Food Grain supply chain distribution system a bi objective approach
International Journal of Production Research, 2019Co-Authors: D G Mogale, Naoufel Cheikhrouhou, M K TiwariAbstract:Growing Food demand, environmental degradation, post-harvest losses and the dearth of resources encourage the decision makers from developing nations to integrate the economic and environmental asp...
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Grain silo location allocation problem with dwell time for optimization of Food Grain supply chain network
Transportation Research Part E-logistics and Transportation Review, 2018Co-Authors: D G Mogale, Sri Krishna Kumar, Mukesh Kumar, M K TiwariAbstract:Abstract In the last few decades, production and procurement of Food Grain in India have steadily increased, however, storage capacity has not increased proportionally. The government of India (GOI) is establishing the various capacitated silos across the country to bridge this storage capacity gap. This paper presents a novel integrated multi-objective, multi-modal and multi-period mathematical model for Grain silo location-allocation problem with Dwell time to support the decision-making process of GOI. Two conflicting objectives-minimization of total supply chain network cost and total lead time (transit and dwell time) are simultaneously optimized using two Pareto based multi-objective algorithms with calibrated parameters.
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an minlp model to support the movement and storage decisions of the indian Food Grain supply chain
Control Engineering Practice, 2018Co-Authors: D G Mogale, Sri Krishna Kumar, M K TiwariAbstract:Abstract This paper addresses the novel three stage Food Grain distribution problem of Public Distribution System (PDS) in India which comprises of farmers, procurement centers, base silos and field silos. The Indian Food Grain supply chain consists of various activities such as procurement, storage, transportation and distribution of Food Grain. In order to curb transportation and storage losses of Food Grain, the Food Corporation of India (FCI) is moving towards the modernized bulk Food Grain supply chain system. This paper develops a Mixed Integer Non-Linear Programming (MINLP) model for planning the movement and storage of Food Grain from surplus states to deficit states considering the seasonal procurement, silo capacity, demand satisfaction and vehicle capacity constraints. The objective function of the model seeks to minimize the bulk Food Grain transportation, inventory holding, and operational cost. Therein, shipment cost contains the fixed and variable cost, inventory holding and operational cost considered at the procurement centers and base silos. The developed mathematical model is computationally complex in nature due to nonlinearity, the presence of numerous binary and integer variables along with a huge number of constraints, thus, it is very difficult to solve it using exact methods. Therefore, recently developed, Hybrid Particle-Chemical Reaction Optimization (HP-CRO) algorithm has been employed to solve the MINLP model. Different problem instances with growing complexities are solved using HP-CRO and the results are compared with basic Chemical Reaction Optimization (CRO) and Particle Swarm Optimization (PSO) algorithms. The results of computational experiments illustrate that the HP-CRO algorithm is competent enough to obtain the better quality solutions within reasonable computational time.
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a multi period inventory transportation model for tactical planning of Food Grain supply chain
Computers & Industrial Engineering, 2017Co-Authors: D G Mogale, Rishabh Kandhway, Sri Krishna Kumar, Alexandre Dolgui, M K TiwariAbstract:Abstract The Food Grain supply chain problem of the Public Distribution System (PDS) of India is addressed in this paper to satisfy the demand of the deficit Indian states. The problem involves the transportation of bulk Food Grain by capacitated vehicles from surplus states to deficit states through silo storage. A mixed integer non-linear programming (MINLP) model is formulated which seeks to minimize the overall cost including bulk Food Grain shipment, storage, and operational cost. The model incorporates the novel vehicle preference constraints along with the seasonal procurement, silo storage, vehicle capacity and demand satisfaction restrictions. The management of Indian Food Grain supply chain network is more intricate and difficult issue due to many uncertain interventions and its chaotic nature. To tackle the aforementioned problem an effective meta-heuristic which based on the strategy of sorting elite ants and pheromone trail updating called Improved Max-Min Ant System (IMMAS) is proposed. The solutions obtained through IMMAS is validated by implementing the Max-Min Ant System (MMAS). A sensitivity analysis has been performed to visualize the effect of model parameters on the solution quality. Finally, the statistical analysis is carried out for confirming the superiority of the proposed algorithm over the other.
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two stage indian Food Grain supply chain network transportation allocation model
IFAC-PapersOnLine, 2016Co-Authors: D G Mogale, Sri Krishna Kumar, M K TiwariAbstract:This paper investigates the Food Grain supply chain, transportation allocation problem of Indian Public Distribution System (PDS). The different activities of Indian Food Grain supply chain are procurements, storage, movement, transportation and distribution. We have developed a mixed integer nonlinear programming model (MINLP) to minimize the transportation, inventory and operational cost of shipping Food Grains from the cluster of procurement centers of producing states to the consuming state warehouses. A recently developed chemical reaction optimization (CRO) algorithm is used for testing the model which gives the superior computational performance compared to other metaheuristics.
D G Mogale - One of the best experts on this subject based on the ideXlab platform.
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modelling of sustainable Food Grain supply chain distribution system a bi objective approach
International Journal of Production Research, 2019Co-Authors: D G Mogale, Naoufel Cheikhrouhou, M K TiwariAbstract:Growing Food demand, environmental degradation, post-harvest losses and the dearth of resources encourage the decision makers from developing nations to integrate the economic and environmental asp...
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Grain silo location allocation problem with dwell time for optimization of Food Grain supply chain network
Transportation Research Part E-logistics and Transportation Review, 2018Co-Authors: D G Mogale, Sri Krishna Kumar, Mukesh Kumar, M K TiwariAbstract:Abstract In the last few decades, production and procurement of Food Grain in India have steadily increased, however, storage capacity has not increased proportionally. The government of India (GOI) is establishing the various capacitated silos across the country to bridge this storage capacity gap. This paper presents a novel integrated multi-objective, multi-modal and multi-period mathematical model for Grain silo location-allocation problem with Dwell time to support the decision-making process of GOI. Two conflicting objectives-minimization of total supply chain network cost and total lead time (transit and dwell time) are simultaneously optimized using two Pareto based multi-objective algorithms with calibrated parameters.
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an minlp model to support the movement and storage decisions of the indian Food Grain supply chain
Control Engineering Practice, 2018Co-Authors: D G Mogale, Sri Krishna Kumar, M K TiwariAbstract:Abstract This paper addresses the novel three stage Food Grain distribution problem of Public Distribution System (PDS) in India which comprises of farmers, procurement centers, base silos and field silos. The Indian Food Grain supply chain consists of various activities such as procurement, storage, transportation and distribution of Food Grain. In order to curb transportation and storage losses of Food Grain, the Food Corporation of India (FCI) is moving towards the modernized bulk Food Grain supply chain system. This paper develops a Mixed Integer Non-Linear Programming (MINLP) model for planning the movement and storage of Food Grain from surplus states to deficit states considering the seasonal procurement, silo capacity, demand satisfaction and vehicle capacity constraints. The objective function of the model seeks to minimize the bulk Food Grain transportation, inventory holding, and operational cost. Therein, shipment cost contains the fixed and variable cost, inventory holding and operational cost considered at the procurement centers and base silos. The developed mathematical model is computationally complex in nature due to nonlinearity, the presence of numerous binary and integer variables along with a huge number of constraints, thus, it is very difficult to solve it using exact methods. Therefore, recently developed, Hybrid Particle-Chemical Reaction Optimization (HP-CRO) algorithm has been employed to solve the MINLP model. Different problem instances with growing complexities are solved using HP-CRO and the results are compared with basic Chemical Reaction Optimization (CRO) and Particle Swarm Optimization (PSO) algorithms. The results of computational experiments illustrate that the HP-CRO algorithm is competent enough to obtain the better quality solutions within reasonable computational time.
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a multi period inventory transportation model for tactical planning of Food Grain supply chain
Computers & Industrial Engineering, 2017Co-Authors: D G Mogale, Rishabh Kandhway, Sri Krishna Kumar, Alexandre Dolgui, M K TiwariAbstract:Abstract The Food Grain supply chain problem of the Public Distribution System (PDS) of India is addressed in this paper to satisfy the demand of the deficit Indian states. The problem involves the transportation of bulk Food Grain by capacitated vehicles from surplus states to deficit states through silo storage. A mixed integer non-linear programming (MINLP) model is formulated which seeks to minimize the overall cost including bulk Food Grain shipment, storage, and operational cost. The model incorporates the novel vehicle preference constraints along with the seasonal procurement, silo storage, vehicle capacity and demand satisfaction restrictions. The management of Indian Food Grain supply chain network is more intricate and difficult issue due to many uncertain interventions and its chaotic nature. To tackle the aforementioned problem an effective meta-heuristic which based on the strategy of sorting elite ants and pheromone trail updating called Improved Max-Min Ant System (IMMAS) is proposed. The solutions obtained through IMMAS is validated by implementing the Max-Min Ant System (MMAS). A sensitivity analysis has been performed to visualize the effect of model parameters on the solution quality. Finally, the statistical analysis is carried out for confirming the superiority of the proposed algorithm over the other.
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two stage indian Food Grain supply chain network transportation allocation model
IFAC-PapersOnLine, 2016Co-Authors: D G Mogale, Sri Krishna Kumar, M K TiwariAbstract:This paper investigates the Food Grain supply chain, transportation allocation problem of Indian Public Distribution System (PDS). The different activities of Indian Food Grain supply chain are procurements, storage, movement, transportation and distribution. We have developed a mixed integer nonlinear programming model (MINLP) to minimize the transportation, inventory and operational cost of shipping Food Grains from the cluster of procurement centers of producing states to the consuming state warehouses. A recently developed chemical reaction optimization (CRO) algorithm is used for testing the model which gives the superior computational performance compared to other metaheuristics.
Madhusudan Ghosh - One of the best experts on this subject based on the ideXlab platform.
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Spatial Efficiency in Regional Food Grain Markets
Liberalization Growth and Regional Disparities in India, 2012Co-Authors: Madhusudan GhoshAbstract:Applying the maximum likelihood method of co-integration, this chapter examines the impact of agricultural policy reforms on spatial integration of Food Grain markets in India. The extent of spatial integration of Food Grain markets has improved during the post-reform period, as the regional markets, which were either segmented or poorly integrated during the pre-reform period, are found to be strongly integrated, and in most cases to such an extent that satisfies the relative version of the law of one price. The agricultural policy reforms undertaken by the Indian government seem to have contributed towards improving the extent of spatial integration of Food Grain markets. The results offer important policy implications.
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AGRICULTURAL POLICY REFORMS AND SPATIAL INTEGRATION OF Food Grain MARKETS IN INDIA
Journal of Economic Development, 2011Co-Authors: Madhusudan GhoshAbstract:Applying the maximum likelihood method of co-integration, this paper examines the impact of agricultural policy reforms on spatial integration of Food Grain markets in India. The extent of spatial integration of Food Grain markets has improved during the post-reform period, as the regional markets, which were either segmented or poorly integrated during the pre-reform period, are found to be strongly integrated, and in most cases to such an extent that satisfies the relative version of the law of one price. The agricultural policy reforms undertaken by the Indian government seem to have contributed towards improving the extent of spatial integration of Food Grain markets. The results offer important policy implications.
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Spatial price linkages in regional Food Grain markets in India
Margin: The Journal of Applied Economic Research, 2010Co-Authors: Madhusudan GhoshAbstract:This paper examines spatial integration of Food Grain markets in India. Using the\nmaximum likelihood method of cointegration, it investigates whether regional Food\nGrain markets within and across states are spatially linked or not. The cointegration\ntests provide evidence in favour of spatial integration of the regional Food Grain markets.\nEven though regional markets are geographically dispersed, prices across different market\ncentres within and across states have exhibited long-run spatial linkages, suggesting that\nall the exchange locations are integrated and that prices provide relevant market signals.\nThere are, however, regional variations in the extent of market integration, which could\nbe due to regional disparities in infrastructure and the institutional structure of Food\nGrain markets. The results have important implications for agricultural price policy and\nthe Food market liberalisation programme.
Jitesh J Thakkar - One of the best experts on this subject based on the ideXlab platform.
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Robust optimisation of sustainable Food Grain transportation with uncertain supply and intentional disruptions
International Journal of Production Research, 2019Co-Authors: Lohithaksha M Maiyar, Jitesh J ThakkarAbstract:The proliferating need for sustainability intervention in Food Grain transportation planning is anchoring the attention of researchers in the interests of stakeholders and environment at large. Unc...
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Modelling and analysis of intermodal Food Grain transportation under hub disruption towards sustainability
International Journal of Production Economics, 2019Co-Authors: Lohithaksha M Maiyar, Jitesh J ThakkarAbstract:Abstract Escalating global Food security concerns across several nations has shifted the focus of policy makers towards risk adaptive sustainable Food Grain operations. This paper builds a sustainable Food Grain transportation model for intermodal transportation operations between two Indian states, in the presence of hub disruption. A hub and spoke system is used to connect origin and destination warehouses through intermodal hubs in a multi-layered network. The problem is formulated as a multi-period mixed integer nonlinear single objective optimization problem considering minimization of transportation, hub location, rerouting, environmental and social costs with near optimal shipment quantities and hub allocations as the prime decisions. The proposed MINLP is solved using Particle Swarm Optimization with Differential Evolution (PSODE), a superior metaheuristic to deal with NP-hard problems. Convergence graphs and global optimal costs are reported for small, medium and large size instances consisting of 1824, 9768 and 28848 variables respectively, inspired from Food Grain industry in the southern part of India. Pareto plots are generated to capture the complementarity between economical and socio-environmental cost categories for all instances. The effect of hub location, hub disruption, cost consolidation and vehicle resource availability factors on individual and total costs is studied through sensitivity analysis. Results indicate that Food Grain demand is fulfilled with 14% increase in the mean total cost for single hub disruption case and with 40% increase for multiple hub disruption. Finally, managerial implications provide specific factor level recommendations for different strategic objectives.
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a combined tactical and operational deterministic Food Grain transportation model particle swarm based optimization approach
Computers & Industrial Engineering, 2017Co-Authors: Lohithaksha M Maiyar, Jitesh J ThakkarAbstract:Abstract This paper proposes a combined tactical and operational two stage Food Grain transportation model with linear formulation in the first stage and a mixed-integer non-linear problem (MINLP) in the second stage taking the case of India. Transportation cost is minimized in both stages to fulfil a deterministic demand. First and the second stages correspond to the movement of Food Grains in between state and central level warehouses respectively. A novel k-parameter based method of constraint handling has been proposed. Further, the two stage MINLP formulation newly incorporates vehicle capacity constraints and proposes a generic metric for measuring vehicle utilization. First stage is solved by CPLEX and for the second stage, two population based random search techniques: Particle swarm optimization-composite particle (PSOCP) and PSO, have been employed. Experimentations on 10 different problem sets reveal that PSOCP performs marginally better than PSO with lesser standard deviation of global fitness and better solution quality with slightly higher CPU time. Later, sensitivity analysis is conducted on all ten problem sets and a decision support framework is proposed to assist potential stakeholders.
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Development of an Effective Cost Minimization Model for Food Grain Shipments
IFAC-PapersOnLine, 2015Co-Authors: Lohithaksha M Maiyar, Jitesh J Thakkar, Anjali Awasthi, Manoj Kumar TiwariAbstract:Abstract This paper makes an attempt to address the issue of Food Grain shipments taking a case of Indian Food Grain supply chain. The existing process of transportation and distribution has been represented as a four stage process. In this work only the first stage has been formulated as a bi-level nodal capacity network flow problem with linear model in the first level and a mixed integer non-linear model in the second level considering minimization of transportation costs. The model captures rail-road flexibility. Finally two variants of particle swarm optimization algorithms are used to solve the model and results are compared.
Sri Krishna Kumar - One of the best experts on this subject based on the ideXlab platform.
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Grain silo location allocation problem with dwell time for optimization of Food Grain supply chain network
Transportation Research Part E-logistics and Transportation Review, 2018Co-Authors: D G Mogale, Sri Krishna Kumar, Mukesh Kumar, M K TiwariAbstract:Abstract In the last few decades, production and procurement of Food Grain in India have steadily increased, however, storage capacity has not increased proportionally. The government of India (GOI) is establishing the various capacitated silos across the country to bridge this storage capacity gap. This paper presents a novel integrated multi-objective, multi-modal and multi-period mathematical model for Grain silo location-allocation problem with Dwell time to support the decision-making process of GOI. Two conflicting objectives-minimization of total supply chain network cost and total lead time (transit and dwell time) are simultaneously optimized using two Pareto based multi-objective algorithms with calibrated parameters.
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an minlp model to support the movement and storage decisions of the indian Food Grain supply chain
Control Engineering Practice, 2018Co-Authors: D G Mogale, Sri Krishna Kumar, M K TiwariAbstract:Abstract This paper addresses the novel three stage Food Grain distribution problem of Public Distribution System (PDS) in India which comprises of farmers, procurement centers, base silos and field silos. The Indian Food Grain supply chain consists of various activities such as procurement, storage, transportation and distribution of Food Grain. In order to curb transportation and storage losses of Food Grain, the Food Corporation of India (FCI) is moving towards the modernized bulk Food Grain supply chain system. This paper develops a Mixed Integer Non-Linear Programming (MINLP) model for planning the movement and storage of Food Grain from surplus states to deficit states considering the seasonal procurement, silo capacity, demand satisfaction and vehicle capacity constraints. The objective function of the model seeks to minimize the bulk Food Grain transportation, inventory holding, and operational cost. Therein, shipment cost contains the fixed and variable cost, inventory holding and operational cost considered at the procurement centers and base silos. The developed mathematical model is computationally complex in nature due to nonlinearity, the presence of numerous binary and integer variables along with a huge number of constraints, thus, it is very difficult to solve it using exact methods. Therefore, recently developed, Hybrid Particle-Chemical Reaction Optimization (HP-CRO) algorithm has been employed to solve the MINLP model. Different problem instances with growing complexities are solved using HP-CRO and the results are compared with basic Chemical Reaction Optimization (CRO) and Particle Swarm Optimization (PSO) algorithms. The results of computational experiments illustrate that the HP-CRO algorithm is competent enough to obtain the better quality solutions within reasonable computational time.
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a multi period inventory transportation model for tactical planning of Food Grain supply chain
Computers & Industrial Engineering, 2017Co-Authors: D G Mogale, Rishabh Kandhway, Sri Krishna Kumar, Alexandre Dolgui, M K TiwariAbstract:Abstract The Food Grain supply chain problem of the Public Distribution System (PDS) of India is addressed in this paper to satisfy the demand of the deficit Indian states. The problem involves the transportation of bulk Food Grain by capacitated vehicles from surplus states to deficit states through silo storage. A mixed integer non-linear programming (MINLP) model is formulated which seeks to minimize the overall cost including bulk Food Grain shipment, storage, and operational cost. The model incorporates the novel vehicle preference constraints along with the seasonal procurement, silo storage, vehicle capacity and demand satisfaction restrictions. The management of Indian Food Grain supply chain network is more intricate and difficult issue due to many uncertain interventions and its chaotic nature. To tackle the aforementioned problem an effective meta-heuristic which based on the strategy of sorting elite ants and pheromone trail updating called Improved Max-Min Ant System (IMMAS) is proposed. The solutions obtained through IMMAS is validated by implementing the Max-Min Ant System (MMAS). A sensitivity analysis has been performed to visualize the effect of model parameters on the solution quality. Finally, the statistical analysis is carried out for confirming the superiority of the proposed algorithm over the other.
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two stage indian Food Grain supply chain network transportation allocation model
IFAC-PapersOnLine, 2016Co-Authors: D G Mogale, Sri Krishna Kumar, M K TiwariAbstract:This paper investigates the Food Grain supply chain, transportation allocation problem of Indian Public Distribution System (PDS). The different activities of Indian Food Grain supply chain are procurements, storage, movement, transportation and distribution. We have developed a mixed integer nonlinear programming model (MINLP) to minimize the transportation, inventory and operational cost of shipping Food Grains from the cluster of procurement centers of producing states to the consuming state warehouses. A recently developed chemical reaction optimization (CRO) algorithm is used for testing the model which gives the superior computational performance compared to other metaheuristics.