Development of Inventory Model for Public Distribution System by Using BPSO

The proposed work is to deal with the distribution of rice to people through this distribution system. Usually FCI procures rice from millers or organizations constituted by farmers situated at some convenient central places. Then FCI supplies to some distribution centers referred to as MLSP's. Each MLSP, in turn supplies materials to some associated FPS's. Thus in a distribution system we have (i) FCI go downs, (ii) a small number of Mandal Level Service Poins (iii) a large number of FPS which are, in sets, associated with each Mandal Level Service Point (MLSP). This is the structure of a multi echelon PDS. The procurement of rice by FCI, its storage, supply to MLSP's, ordering/reordering by MLSP's for their respective demands, their storage and supplies to FPS's, all involve considerable expenditure. The multi echelon PDS system consists of: (i) procurement, (ii) inventory, (iii) reordering at FCI, (iv) supply, (v) storage, (vi) maintenance of the safety stock, and (vii) accounting for perishability of items. All these are to be looked into and the integrated cost of PDS is to be minimized scientifically. Variable cost minimization in a public distribution system (PDS) allowing for perishability of the product by implimention of BPSO (Binary Particle Swarm Optimization) using with C++ coding. BPSO technique have been successfully employed to model and simulate of lot sizing problem such as single item multi-level, capacitated problems under consideration to minimize total cost. The total cost obtained for the PDS problem under consideration by BPSO method it is observed that reduced cost is nearly two cores compared to the total cost of real existing system.