3 research outputs found
The Transportation Performance Analysis of Logistics for Perishable Foods in Greater Bandung
Get PDFThis article aims to analyze the transportation performance in logistics of perishable foods in Greater Bandung and to identify the product loss of mushrooms and cabbages. It can be concluded that the main factors influencing the performance of transportation for perishable foods are: (1) Transportation operating hours adjusted to harvest time and market opening time, (2) Trip routes divided by 2 are using the shortest/ closest route and using a toll road, (3) Type of vehicle depend on the scale of production, the scale of the order and the distance of the trip, (4) the sale of products from farmers according to the nearest market location. Transportation cost contributes about 2-5% of product price. And, main factor of transportation cost is load factor. For cabbage, there is a 20% product loss from farmers to traders in central/ traditional markets
Implementation of Risk Factor on Optimisation Model to Minimise Transportation Cost of Fatty Acid Methyl Ester (FAME) as Biodiesel Raw Material
No full textFatty Acid Methyl Ester (FAME) is the main component that form biodiesel mixture. The transportation cost of FAME from biodiesel company to blending terminal has a significant contribution on the total production of cost. This study aims to define the optimum combination of supply and demand of FAME distribution from biofuel company to the blending terminal with minimum transportation cost. This study included risk factor, i.e. the condition of distribution route, in the optimisation model. A linear programming model was developed to describe the variables and constraints that were involved in the optimisation. This study applied simplex method in the optimisation process. The results indicate that the incorporation of risk factors leads to higher transportation costs and subsequently alters the supply-demand allocation pairs compared to model that excludes these risks. These findings highlight the critical role of risk assessment in logistical planning and optimisation in the FAME supply chain
Hub-and-spoke network design to optimize government subsidy costs for maritime transportation in Indonesia
No full textIndonesia's maritime freight transportation system is characterized by inefficiencies stemming from high logistics costs and an unsustainable government subsidy structure. Addressing these challenges necessitates a strategic transformation of the Sea Tollway network. This study introduces a hub-and-spoke model integrated with Milk Run Time Windows (MRTW) to enhance cost efficiency and optimize subsidy expenditures. A deterministic optimization approach was adopted, leveraging Genetic Algorithm (GA) techniques to formulate optimal shipping routes and strategically position hub ports. A case study in East Nusa Tenggara Province was conducted to validate the model's applicability and effectiveness within Indonesia's maritime logistics framework. The findings reveal that the proposed model significantly reduces total operational costs by 16-43% and decreases government subsidy expenditures by 10-25% per round voyage. Cargo consolidation at hub ports enhances vessel utilization, minimizes empty return trips, and improves overall network efficiency. Moreover, transitioning from an annual subsidy framework to a voyage-based allocation system offers increased fiscal flexibility and responsivenes to dynamic operational conditions. This study advances the body of knowledge by presenting an empirical, data-driven framework for optimizing Indonesia's maritime logistics infrastructure. The results inform policy recommendations on subsidy restructuring, port infrastructure development, and the integration of real-time data analytics to enhance the sustainability and efficiency of maritime transport operations
