2 research outputs found

    Carrier and Freight Forwarders Strategies to Utilize the Immobile Shipping Capacity of Freight Forwarders and Maximize Profits

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    Carriers and freight forwarders (FFs) play several roles in ensuring the effective flow of goods delivery. They are tasked with accommodating the shippers’ needs in transporting goods via containers, following the carrier’s ship destination plan. In practice, FFs often experience overbook and underbook capacity toward the capacity limit for shipping goods. This has consequently increased FF costs. However, for the carrier, this will increase profits. The aim of this study is to develop strategies for carriers and FFs using a mathematical model approach to obtain the optimal quantity of booking shipping capacity; thus, overbooks or underbooks can be minimized. More broadly, this study also proposes several strategies to increase the profits of all parties, both for FFs through collaboration and for carriers by directly selling marketing shipping capacity to shippers. Optimum booking quantity for goods delivery from each FF is performed through the particle swarm optimization (PSO) approach. Using four FF collaboration scenarios, the model test results yield a profit of 121,270,2.14121,270, 2.14% more than the non-collaboration scenarios with a profit of 119,169. The carrier generated an average profit of 39,926whentheFFdidnotcollaborate.Conversely,whentheFFscollaborated,thecarrierexperiencedadeclineof–1.88onaverageprofit,whichwas39,926 when the FF did not collaborate. Conversely, when the FFs collaborated, the carrier experienced a decline of –1.88% on average profit, which was 39,175. However, if the carrier responds with direct selling, the profit will increase by 9.36%, which is $42,840. It is concluded that collaboration can increase the profits of FFs but reduce the profits of carriers, while direct selling can increase the carrier’s profits

    Analisis Pengaruh Faktor Kritis pada Keberhasilan Proyek Data Desa Presisi

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    The purpose of this study is to reveal the critical factors that influence the success of the Precision Village Data (DDP) project, the critical factors that have the highest effect/ impact on the implementation of the DDP project, and the degree of influence of critical factors on the success of the DDP project. This research uses a quantitative approach supported by qualitative data. The units of analysis in this research are the enumerators, the project team, and the village government involved in the DDP project. The sampling technique used is the census method, with a total of 141 respondents. Collected data was through a questionnaire with a Likert scale, then analyzed by Partial Least Square (PLS). The research was conducted in 6 villages namely Sukamantri Village (Bogor), Tegallalang Village (Gianyar Bali), Cihideung Ilir Village (Bogor), Cibanteng Village (Bogor), Gelar Anyar Village (Cianjur), and Bantar Jaya Village (Bogor). The results of the individual parameter significance test (t-test) show that the project management CSFs and workforce plans have a positive and partially significant effect on the success of the DDP project. Furthermore, the simultaneous test results (F test) show that all the factors in the dimensions of the CSFs have a positive and significant effect on the success of the DDP project simultaneousl
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