Freight Forwarder Selection Optimisation By Using Analytical Hierarchy Process (AHP)

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Callaq, Cindy and Akbar, Reza and Ahmad, Husein and Gabriella, Louis and Rezanaufal, M. (2016) Freight Forwarder Selection Optimisation By Using Analytical Hierarchy Process (AHP). Project Report. Sekolah Tinggi Manajemen IPMI, Jakarta Selatan. (Unpublished)

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The goal of this study was to investigate how to optimise the existing freight forwarder selection of one project cargo of PT. Putra Indo Manunggal by using the Analytical Hierarchy Process (AHP) software package of Expert Choice 2000. The freight forwarder selection process in the existing approach tended to be unoptimised due to simplifying assumption basis of using single criterion “the cheapest price" and VAL was chosen as the existing winner. The AHP application for optimising the Multi-criteria Decision Making (MCDM) problem measured by using both qualitative and quantitative data simultaneously through practical example which is demonstration. In particular, it started with problem structure modelling of three-step decision analysis (goals-criteria-alternatives) which converts qualitative observation to reliable quantitative measurement. The 9 criteria and 10 alternatives were simulated through analysis of Pairwise Comparison, Judgment Scales, Priorities Derivation, Synthesis of the Weights Values and Performance Sensitivity. Finally, the simulation result of multi-criteria analysis has selected GSL which is more objective, justifiable and complete different from the existing approach. Keywords: AHP, optimisation, procurement, multi-criteria decision making, freight forwarder, supplier selection.

Item Type: Monograph (Project Report)
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
T Technology > T Technology (General)
Divisions: Library > GFP (Group Field Project)
Depositing User: Putri Lumithasari
Date Deposited: 24 Jan 2020 07:16
Last Modified: 24 Jan 2020 07:16

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