TY  - JOUR
AU  - Hidayad, Muhammad Khakim 
AU  - Utama, Ditdit Nugeraha 
PY  - 2022
TI  - Third-Party Logistic Selection for Logistic Aggregator Company using Multi-Criteria Decision Making
JF  - Journal of Computer Science
VL  - 18
IS  - 9
DO  - 10.3844/jcssp.2022.811.820
UR  - https://thescipub.com/abstract/jcssp.2022.811.820
AB  - The customer of AggregatorCompany for Logistics (ACL) faces a problem when creating an order in the aggregatorlogistics platform. They have difficulty making an order as there are a lot ofthird-Party Logistic (3PL) alternatives available but they do not have anyreferences for which 3PL they should select. This study helps the customer tochoose the best 3PL by determining the suitable criteria. The study's objectiveis to build a Multi-Criteria Decision-Making (MCDM) model for 3PL assessmentbased on historical data. To construct the model in doing the assessment, acombined model based on the Fuzzy AnalyticHierarchy Process (F-AHP) and the Techniquefor Order of Preference by Similarity to Ideal Solution (TOPSIS) Wasmethodically operated. F-AHP was used to weigh the criteria and TOPSISfunctioned to rank and score the 3PL alternatives. Sensitivity analysis is alsoperformed to verify the robustness of the proposed model. This study was takenplace in one of the Indonesian ACLs and the model could be beneficial forIndonesian ACL in evaluating, selecting, and recommending the best 3PL partner.