Journal
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Volume 111, Issue -, Pages 40-69Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2018.01.004
Keywords
Facility location-allocation problem; Multi-objective optimization; Mixed integer non-linear programming; Food grain supply chain; Non-dominated sorting chemical reaction optimization (NCRO)
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Funding
- research project Procurement, Collection and Storage of food grains (CAG) under the mega project Sustainable food Security through: Technological interventions for production, processing and logistics (SAL) - MHRD, Department of Higher Education, New Delhi [IIT/SRIC/IEM/CAG/2013-14/206, IIT/SRIC/AGFE/SAL/2013-14/159]
- EPSRC [EP/K02888X/1] Funding Source: UKRI
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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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