Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network. (March 2018)

• Record Type: Journal Article
• Authors: Mogale, D.G.; Kumar, Mukesh; Kumar, Sri Krishna; Tiwari, Manoj Kumar
• Is Part Of: Transportation research. Volume 111(2018)
• Page Start: 40
• Page End: 69
• Publication Date: 2018-03
• Subjects: Facility location-allocation problem -- Multi-objective optimization -- Mixed integer non-linear programming -- Food grain supply chain -- Non-dominated sorting chemical reaction optimization (NCRO); Logistics -- Periodicals; Transportation -- Periodicals; 388.011
• DOI: 10.1016/j.tre.2018.01.004
• Languages: English
• ISSNs: 1366-5545

Abstract

Highlights: The grain silo location-allocation problem with dwell time is addressed. An integrated multi-objective, multi-modal and multi-period model is developed. The model is solved using NCRO and results compared with NSGA-II algorithm. The efficacy of model is verified and validated with numerous problem instances. The sensitivity analysis is conducted considering the eight parameters of model. 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.