A STOCHASTIK SIMULATION OF CARGO DEMAND AND OPTIMIZATION OF DISTRIBUTION SCHEDULING FOR AIRFREIGHT SERVICE

• Main Author: Tustanto, Hani
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/78330
• Institution: Institut Teknologi Bandung

The efficiency of transportation and logistics have an important and crucial role in the economic sustainability of society. Almost all products used in everyday life, both by industry and society, involve logistics planning. The logistics industry affects a country’s gross domestic product. One of the important services in the transportation and logistics industry is airfreight services. What’s more, Indonesia is an archipelago country and increasingly sophisticated technology that allows buying and selling remotely. Transportation and logistics costs are a crucial part of the business environment. Therefore, optimal cargo distribution scheduling needs to be done so that the operational costs of airfreight service companies are minimized and the cargo is distributed as optimally as possible and the use of aircraft is as little as possible. In order to remain relevant to trends in the airfreight industry in Indonesia, it is necessary to generate demand for airfreight that can represent market share and peak low seasonal trends based on historical reference data. This final project discusses the stochastic simulation scheme for generating relevant to the trend of the airfreight industry in Indonesia and optimizing the scheduling of airfreight distribution using cyclical and linear route development schemes that produce minimum costs and maximum distributed loads and minimum use of aircraft. With certain assumptions, the optimization program designed in this final project produces a minimum average operating cost of 26% from the lower limit of air cargo service rates and an average distribution of 90%.