A STUDY OF FUEL PRODUCT SUPPLYING IN EAST REGION WITH MARINE INVENTORY ROUTING BASIC CONCEPT

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Diterbitkan Jul 20, 2016
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Vol 7 No 2 (2014)

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betty ariani ariani
universitas muhammadiyah surabaya

Abstrak

Distance is the problem of fuel product supplying in our country especially in east region The scheduling of distribution was not optimize. There was no attention in time management,it made uncertainty in supplying and availability of fuel product. This research was planning about the ship route and time scheduling in order to ensure availability of fuel product in east region.The prospect and result of this research is optimize solutions in time delivery, the quantity of fuel product, and the best ship route. The manual scenario with genetic Algorithm has 10 populations, 8 generations , 40% cross over probability, and 1% mutation probability. And the best solutions are 1st ship route  are Kupang – Atapupu – Dilli – Kalabahi – Kupang and 2sc ship route  are Kupang – Larantuka – Reo dan Kupang with  3135 in costs.

Key words : Schedulling, Optimize, Inventory Routing, depot of fuel product, Genetic Algorithm.

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Biografi Penulis

betty ariani ariani, universitas muhammadiyah surabaya

Dosen Teknik Perkapalan - FT Um Surabaya

Referensi

  1. Suprayogi dan Setiawan komara, A Sequential Insertion Algorithm for Solving A Distribution Problem ofFuel Product, Proceeding of JSPS-DGHE Seminar on Marine Transportation Engineering, pp 332 – 229, 2006
  2. Moin NH and Salhi S, Inventory Routing Problems: A LogisticalOverview, Journal of the Operations research Society 58, pp 1185 – 1194, 2007
  3. Ronen D, Marine Inventory Routing: Shipment Planning, Journal of Operation Research Society 53, pp 108-114, 2002
  4. Campbell A.M and Savelsberg M.W.P, A Decomposition ApproachFor The Inventory Routing Problem, Transportation Science 38 (4), pp 488-502, 2004
  5. Christiansen, M Decomposition of a Combined Inventory and Time Constrained Ship Routing Problem, Transportation Science 33, pp 249 -259, 1990
  6. A.A B Dinariyana, Yamato Matsukura H, Maytouch U, Marine Inventory Routing for Multy Commodity Petroleum Product in aHub and Spokes Network, AEARU-ICASS Joint Workshop, pp 367 – 370, 2007.
  7. Tamer F abdelmaguid, Maged M Dessouky, A Genetic Algorithm Approach to the Integrated Inventory Distribution Problem, Transportation Research, 2007.
  8. Ricardo Giesen, Juan Carlos Munos, Multy Item Inventory RoutingProblem for Ship Distribution ofLiquid oil Bulk Product, Transport and Logistic Engineering Departement Pontificia Universidad Catolica de Chile.
  9. Sri Kusuma Dewi, Hari Purnomo, Penyelesaian Masalah OptimasiDengan Teknik Heuristik, Graha Ilmu, pp 223 – 250, 2007.