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Pradana MF, Bhan B, Noche B (2021). Optimization of Fleet Size and Mix Problems in Indonesian Sea Tollway. Logistics Journal : nicht referierte Veröffentlichungen, Vol. 2021. (urn:nbn:de:0009-14-53925)

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%0 Journal Article
%T Optimization of Fleet Size and Mix Problems in Indonesian Sea Tollway
%A Pradana, Muhammad Fakhruriza
%A Bhan, Bhavik
%A Noche, Bernd
%J Logistics Journal : nicht referierte Veröffentlichungen
%D 2021
%V 2021
%N 10
%@ 1860-5923
%F pradana2021
%X This article deals with the Fleet Size and Mix Problem (FSMP). The main focus is to find the optimal fleet size and the type of ships used for the Indonesian Sea Tollway. A mathematical model for anticipating fleet demand under various circumstances has been built. The model primarily focuses on the strategic level, where the task is to minimize the total renting and operating/fuel costs for the vessels during the planning horizon. A deployment model was also generated to test the Fleet Size and Mix Model's accuracy, which comes under tactical planning. Fleet composition is given in tactical planning, and the goal is to find the precise utilization of the available ship to fulfil the transportation demand. Both FSM and FDM Models for our given problem are solved by integer programming on Python using Pandas, Numpy, and Pulp libraries. This article can be used as a guide to assist the Indonesian government in finding the exact fleet composition and routing.
%L 620
%K Indonesian Sea Tollways
%K fleet deployment problems
%K fleet size and mix problems
%K integer programming
%K routing problems
%K scheduling
%R 10.2195/lj_NotRev_pradana_en_202110_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-53925
%U http://dx.doi.org/10.2195/lj_NotRev_pradana_en_202110_01

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Bibtex

@Article{pradana2021,
  author = 	"Pradana, Muhammad Fakhruriza
		and Bhan, Bhavik
		and Noche, Bernd",
  title = 	"Optimization of Fleet Size and Mix Problems in Indonesian Sea Tollway",
  journal = 	"Logistics Journal : nicht referierte Ver{\"o}ffentlichungen",
  year = 	"2021",
  volume = 	"2021",
  number = 	"10",
  keywords = 	"Indonesian Sea Tollways; fleet deployment problems; fleet size and mix problems; integer programming; routing problems; scheduling",
  abstract = 	"This article deals with the Fleet Size and Mix Problem (FSMP). The main focus is to find the optimal fleet size and the type of ships used for the Indonesian Sea Tollway. A mathematical model for anticipating fleet demand under various circumstances has been built. The model primarily focuses on the strategic level, where the task is to minimize the total renting and operating/fuel costs for the vessels during the planning horizon. A deployment model was also generated to test the Fleet Size and Mix Model's accuracy, which comes under tactical planning. Fleet composition is given in tactical planning, and the goal is to find the precise utilization of the available ship to fulfil the transportation demand. Both FSM and FDM Models for our given problem are solved by integer programming on Python using Pandas, Numpy, and Pulp libraries. This article can be used as a guide to assist the Indonesian government in finding the exact fleet composition and routing.",
  issn = 	"1860-5923",
  doi = 	"10.2195/lj_NotRev_pradana_en_202110_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-53925"
}

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RIS

TY  - JOUR
AU  - Pradana, Muhammad Fakhruriza
AU  - Bhan, Bhavik
AU  - Noche, Bernd
PY  - 2021
DA  - 2021//
TI  - Optimization of Fleet Size and Mix Problems in Indonesian Sea Tollway
JO  - Logistics Journal : nicht referierte Veröffentlichungen
VL  - 2021
IS  - 10
KW  - Indonesian Sea Tollways
KW  - fleet deployment problems
KW  - fleet size and mix problems
KW  - integer programming
KW  - routing problems
KW  - scheduling
AB  - This article deals with the Fleet Size and Mix Problem (FSMP). The main focus is to find the optimal fleet size and the type of ships used for the Indonesian Sea Tollway. A mathematical model for anticipating fleet demand under various circumstances has been built. The model primarily focuses on the strategic level, where the task is to minimize the total renting and operating/fuel costs for the vessels during the planning horizon. A deployment model was also generated to test the Fleet Size and Mix Model's accuracy, which comes under tactical planning. Fleet composition is given in tactical planning, and the goal is to find the precise utilization of the available ship to fulfil the transportation demand. Both FSM and FDM Models for our given problem are solved by integer programming on Python using Pandas, Numpy, and Pulp libraries. This article can be used as a guide to assist the Indonesian government in finding the exact fleet composition and routing.
SN  - 1860-5923
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-53925
DO  - 10.2195/lj_NotRev_pradana_en_202110_01
ID  - pradana2021
ER  - 
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Wordbib

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<b:Person><b:Last>Pradana</b:Last><b:First>Muhammad Fakhruriza</b:First></b:Person>
<b:Person><b:Last>Bhan</b:Last><b:First>Bhavik</b:First></b:Person>
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<b:Comments>This article deals with the Fleet Size and Mix Problem (FSMP). The main focus is to find the optimal fleet size and the type of ships used for the Indonesian Sea Tollway. A mathematical model for anticipating fleet demand under various circumstances has been built. The model primarily focuses on the strategic level, where the task is to minimize the total renting and operating/fuel costs for the vessels during the planning horizon. A deployment model was also generated to test the Fleet Size and Mix Model&apos;s accuracy, which comes under tactical planning. Fleet composition is given in tactical planning, and the goal is to find the precise utilization of the available ship to fulfil the transportation demand. Both FSM and FDM Models for our given problem are solved by integer programming on Python using Pandas, Numpy, and Pulp libraries. This article can be used as a guide to assist the Indonesian government in finding the exact fleet composition and routing.</b:Comments>
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ISI

PT Journal
AU Pradana, M
   Bhan, B
   Noche, B
TI Optimization of Fleet Size and Mix Problems in Indonesian Sea Tollway
SO Logistics Journal : nicht referierte Veröffentlichungen
PY 2021
VL 2021
IS 10
DI 10.2195/lj_NotRev_pradana_en_202110_01
DE Indonesian Sea Tollways; fleet deployment problems; fleet size and mix problems; integer programming; routing problems; scheduling
AB This article deals with the Fleet Size and Mix Problem (FSMP). The main focus is to find the optimal fleet size and the type of ships used for the Indonesian Sea Tollway. A mathematical model for anticipating fleet demand under various circumstances has been built. The model primarily focuses on the strategic level, where the task is to minimize the total renting and operating/fuel costs for the vessels during the planning horizon. A deployment model was also generated to test the Fleet Size and Mix Model's accuracy, which comes under tactical planning. Fleet composition is given in tactical planning, and the goal is to find the precise utilization of the available ship to fulfil the transportation demand. Both FSM and FDM Models for our given problem are solved by integer programming on Python using Pandas, Numpy, and Pulp libraries. This article can be used as a guide to assist the Indonesian government in finding the exact fleet composition and routing.
ER

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Mods

<mods>
  <titleInfo>
    <title>Optimization of Fleet Size and Mix Problems in Indonesian Sea Tollway</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Pradana</namePart>
    <namePart type="given">Muhammad Fakhruriza</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Bhan</namePart>
    <namePart type="given">Bhavik</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Noche</namePart>
    <namePart type="given">Bernd</namePart>
  </name>
  <abstract>This article deals with the Fleet Size and Mix Problem (FSMP). The main focus is to find the optimal fleet size and the type of ships used for the Indonesian Sea Tollway. A mathematical model for anticipating fleet demand under various circumstances has been built. The model primarily focuses on the strategic level, where the task is to minimize the total renting and operating/fuel costs for the vessels during the planning horizon. A deployment model was also generated to test the Fleet Size and Mix Model's accuracy, which comes under tactical planning. Fleet composition is given in tactical planning, and the goal is to find the precise utilization of the available ship to fulfil the transportation demand. Both FSM and FDM Models for our given problem are solved by integer programming on Python using Pandas, Numpy, and Pulp libraries. This article can be used as a guide to assist the Indonesian government in finding the exact fleet composition and routing.</abstract>
  <subject>
    <topic>Indonesian Sea Tollways</topic>
    <topic>fleet deployment problems</topic>
    <topic>fleet size and mix problems</topic>
    <topic>integer programming</topic>
    <topic>routing problems</topic>
    <topic>scheduling</topic>
  </subject>
  <classification authority="ddc">620</classification>
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    <genre>academic journal</genre>
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      <detail type="volume">
        <number>2021</number>
      </detail>
      <detail type="issue">
        <number>10</number>
      </detail>
      <date>2021</date>
    </part>
  </relatedItem>
  <identifier type="issn">1860-5923</identifier>
  <identifier type="urn">urn:nbn:de:0009-14-53925</identifier>
  <identifier type="doi">10.2195/lj_NotRev_pradana_en_202110_01</identifier>
  <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-14-53925</identifier>
  <identifier type="citekey">pradana2021</identifier>
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