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Facility Location and Multi Capacity Vehicles Model for Minimizing Emissions for Environmentally Friendly Logistics
Author(s) -
Artya Lathifah,
Selo Sulistyo,
Izzawi Winda Murti
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1376/1/012038
Subject(s) - environmentally friendly , sustainability , distribution (mathematics) , transport engineering , environmental economics , green logistics , business , computer science , operations research , engineering , economics , ecology , mathematical analysis , mathematics , biology
Transportation and distribution are two things that are closely related to logistics problems. On the one hand, these two things are at the heart of an organization or company in terms of delivering goods sold to consumers. However, on the other hand this activity can sometimes damage the environment. Emissions from fuels used in transportation and distribution activities accounted for 29.4% of the total costs incurred by the organization in logistics activities. So that, many organizations finally make environmentally friendly logistics a priority in their activities, where the goal of minimizing distribution costs and maintaining sustainability of both environments can be fulfilled. Some factors that can be improved are the determination of the location of the warehouse or depot, the combination of vehicle composition and the optimum route. Therefore, this study aims to develop a mathematical model that will optimize these three factors in an integrated manner to minimize the fuel carried out by the organization in its distribution activities with the aim of realizing environmentally friendly logistics. The expected results from the study of this research is the contribution of theoretical studies namely mathematical models of the problems raised applied to the problem of determining the location, route and combination of vehicle capacity.

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