# A Study on the Design and Control of the Overhead Hoist Railway-Based Transportation System
## 1 Introduction  
According to [PERSON] et al., the Boston Consulting Group (BCG) proposed the installation of smart robots and the use of collaborative robots in future factories [1]. This article focuses on the introduction of overhead hoist transportation systems (OHTS) and the new methodological aspects of mechanical features, position detection, and algorithms in the controller design. The proposed system is being utilized in a variety of fields--i.e., general manufacturing facilities, warehouse operations, or medical equipment in hospitals. It has the ability to aid employees and enhance the production procedure. Nowadays, the logistics industry is experiencing increasingly intense competition due to the development of global e-commerce. The advantages of providing logistics services more quickly will lead to a greater market share. The application of an automated guided vehicle (AGV) increases the productivity of the last workstation of an assembly line by implementing an AGV system to transport finished goods to the warehouse according to [PERSON] et al. (2020) [2], or the research of [PERSON] et al. on the pallet shuttles in automated warehouses [3]. In a similar fashion, warehouse conveyor systems are one of the solutions that can help a warehouse run on time and minimize accidents according to [PERSON] of the Cyzerg company [4]. However, these solutions mostly develop the transport network on the ground. As a result, the search for multi-station multi-shuttle transportation systems (MSMSTS) represents an outstanding innovation in the logistics sector. Especially in modern-day Vietnam, investment capital is still low,Vietnam's mechanical industry is still quite backward, labor resources and raw materials are not of good quality, and their operation is still quite weak [5]. Hazardous materials are crucial for harvesting industrial raw materials and economic development in many countries. Nevertheless, the use of these technologies can lead to potential hazards for human beings, assets, and natural surroundings. The successful management of hazardous materials (hazmat) logistics necessitates the seamless integration of various factors, including transportation expenses, safety considerations, and the strategic placement of warehouses together with efficient inventory control. Hazardous materials can be classified into three main categories: flammable, toxic, and corrosive compounds. The logistics costs and associated risks vary among these classifications. This study examines the design of distribution networks for hazardous materials, with a focus on the integration of several classes of hazardous materials and the analysis of the interaction between the different types. The consideration of time-dependent road closures and detours is of utmost importance in the design of hazardous distribution networks, as it entails substantial financial commitment and has enduring consequences. In their study, [PERSON], [PERSON], and colleagues presented a problem called the multi-class hazmat distribution network design problem (MHND) in a multi-echelon supply chain. This problem takes into account the presence of overlapping risks associated with several types of hazardous materials [6]. The model's scalability allows it to be used across many types of hazardous materials (hazmat), which has significant consequences in the field of hazmat logistics. This paper examines a real-world scenario in Guangzhou, China, and demonstrates that substantial reductions in population exposure can be achieved while simultaneously reducing overall costs. The findings indicate that it is advisable for agencies to carefully consider and balance the factors of economic viability, exposure risk, and customer service when making decisions. The distribution network design is notably influenced by the interactions among various types of hazardous materials (hazmat), whereby the degree of interaction intensification leads to a decrease in the overlapping ratio of routes.