A discrete particle swarm optimization algorithm with local search for a production-based two-echelon single-vendor multiple-buyer supply chain.pdf
Creators: name: Seifbarghy, Mehdi
name: Kalani, Masoud Mirzaei
name: Hemmati, Mojtaba
Publisher: name: figshare
Year: 2020
Subjects: subject: 91301 Acoustics and Noise Control (excl. Architectural Acoustics)
subject: FOS: Mechanical engineering
subject: FOS: Mechanical engineering
subject: Additive Manufacturing
subject: 90101 Aerodynamics (excl. Hypersonic Aerodynamics)
subject: Aerospace Engineering
subject: 90199 Aerospace Engineering not elsewhere classified
subject: 90102 Aerospace Materials
subject: 90103 Aerospace Structures
subject: 99901 Agricultural Engineering
subject: FOS: Other engineering and technologies
subject: FOS: Other engineering and technologies
subject: 90104 Aircraft Performance and Flight Control Systems
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subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 90201 Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)
subject: FOS: Environmental engineering
subject: FOS: Environmental engineering
subject: 90202 Automotive Engineering Materials
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subject: 90203 Automotive Mechatronics
subject: 90204 Automotive Safety Engineering
subject: 91303 Autonomous Vehicles
subject: 91005 Manufacturing Management
subject: 91004 Machining
subject: 91003 Machine Tools
subject: 91599 Interdisciplinary Engineering not elsewhere classified
subject: 91099 Manufacturing Engineering not elsewhere classified
subject: 90505 Infrastructure Engineering and Asset Management
subject: FOS: Civil engineering
subject: FOS: Civil engineering
subject: 90603 Industrial Electronics
subject: 90107 Hypersonic Propulsion and Hypersonic Aerodynamics
subject: 91403 Hydrometallurgy
subject: 90205 Hybrid Vehicles and Powertrains
subject: 91505 Heat and Mass Transfer Operations
subject: 91206 Glass
subject: FOS: Materials engineering
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subject: 90903 Geospatial Information Systems
subject: 91402 Geomechanics and Resources Geotechnical Engineering
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subject: 91201 Ceramics
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subject: Nuclear Engineering
subject: 91506 Nuclear Engineering (incl. Fuel Enrichment and Waste Processing and Storage)

description: ?This paper formulates a two-echelon singleproducer multi-buyer supply chain model, while a single product is produced and transported to the buyers by the producer. The producer and the buyers apply vendormanaged inventory mode of operation. It is assumed that the producer applies economic production quantity policy, which implies a constant production rate at the producer. The operational parameters of each buyer are sales quantity, sales price and production rate. Channel profit of the supply chain and contract price between the producer and each buyer is determined based on the values of the operational parameters. Since the model belongs to nonlinear integer programs, we use a discrete particle swarm optimization algorithm (DPSO) to solve the addressed problem; however, the performance of the DPSO is compared utilizing two well-known heuristics, namely genetic algorithm and simulated annealing. A number of examples are provided to verify the model and assess the performance of the proposed heuristics. Experimental results indicate that DPSO outperforms the rival heuristics, with respect to some comparison metrics. <br>