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Optimization of the multi-objective green cyclical inventory routing problem using discrete multi-swarm PSO method

Rau, Hsin and BUDIMAN, SYARIF DANIEL and Widyadana, I Gede Agus (2018) Optimization of the multi-objective green cyclical inventory routing problem using discrete multi-swarm PSO method. [UNSPECIFIED]

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    Abstract

    This study proposes a multi-objective green cyclic inventory routing problem (MOGCIRP) model to capture the influence of both transportation and inventory management toward cost and environmental issues. The proposed IRP considers single and multiple cyclic tours, handling time, and capacitated fleet with weight dependent fuel consumption to model more comprehensive logistics activities. A discrete multi-swarm particle swarm optimization (PSO) and a heuristic optimization are proposed to yield the Pareto set of MOCGIRP. Results show that inventory management activities contribute considerably (17–22%) to total cost and emission rate. Additionally, multiple tours performance is consistently better than single tour method.

    Item Type: UNSPECIFIED
    Uncontrolled Keywords: Logistics management Green inventory routing problem Cyclic inventory routing problem Multi-objective Particle swarm optimization
    Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
    Divisions: Faculty of Industrial Technology > Industrial Engineering Department
    Depositing User: Admin
    Date Deposited: 13 Dec 2018 01:16
    Last Modified: 18 Dec 2018 19:45
    URI: http://repository.petra.ac.id/id/eprint/18058

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