## 4 Results
LR is a suitable choice for the multi-class material feeding strategy problem due to its simplicity, interpretability, and ability to handle multiple classes [40]. DT models' decision processes are similar to human reasoning and can identify the key features affecting material feeding strategies [70]. RF is attributed to its ensemble nature, leading to enhanced prediction accuracy and reduced overfitting for multi-class problems [71; 72]. SVMs are effective for cases with small datasets and valuable for distinguishing between closely related classes, such as when differentiating between similar material feeding strategies [73]. The non-parametric nature of the K-NN model allows it to adapt to complex material feeding patterns [74]. ANNs can learn complex patterns in data with multiple variables and possess practical generalizing ability for multi-class problems [61; 62]. A review of the literature revealed a variety of inputs that could be employed in the selection of a material feeding method. These were evaluated in the context of the inputs currently in use within the company, and five input parameters were determined as follows:  
* Mode of supply: The supply method employed for the pilot assembly line is a combination of in-house production and external sourcing. Some of the materials used are manufactured on-site in the company's machining facilities, while others are purchased from external suppliers. * Annual demand: It is crucial to ascertain the extent of demand that the materials will have in a year. In order to reduce the in-plant logistics costs, products with high annual demand volumes may be situated next to the assembly line. Conversely, products with low annual demand may be supplied from the warehouse when required, thus optimizing the utilization of space in close proximity to the assembly line. * Finished product reference number (Reference No): The final product produced on the assembly line is composed of between 100 and 150 sub-materials, the precise number depending on the specific type of product. It is possible for each material to be a sub-material of one or more finished products. * Use case in pre-assembly (Use case): It is possible that the final products may consist of sub-assembled or semi-assembled materials. It is recommended that the pre-assembly step should commence at a specific point in time before the assembly step. It should be noted that feeding material at the same time as the pilot line may cause problems in compliance with the production plan on the line. * Compatibility of the material size with the kitting vehicle (Compatibility with KV): It should be noted that each material may have disparate dimensional characteristics. Products with dimensions spanning the range from 0.01 mm to 1000 mm are assembled in the pilot line. Given that the volume of the kitting vehicle is designed for a limited range of products, it is crucial to assess the suitability of the products for transportation with the kitting vehicle. The description of the inputs determined for the material feeding method is given in Table 1. Description of input parameters. The output parameter comprises four different material feeding systems, including line storage, Kanban, kitting, and a call-out system. The framework of the proposed study can be seen in Figure 2.