# Optimization of Wiring Harness Logistics Flow
## 1 Introduction
presented optimization strategies for wire harness assembly through HRC, showcasing the benefits of combining human dexterity with robotic precision [12]. Similarly, [PERSON] et al. explored redesigning manual workstations to foster collaborative environments, indicating that a mechatronic approach can facilitate smoother interactions between humans and robots [13];
* Task allocation and workflow optimization--[PERSON] et al. delved deeper into the specifics of task allocation within automotive wire harness assembly stations, addressing how clearly defined roles can optimize human-robot interactions [14]. This aligns well with the findings of [PERSON] et al., who also proposed methods to improve task efficiency through collaborative practices [12]. Together, these studies highlight that the effective allocation of tasks can significantly enhance assembly line performance;
* Technology integration--The application of augmented reality (AR) in manufacturing, explored by [PERSON] et al., provides an additional layer of support in the assembly process. While not directly focused on robotics, the use of AR can enhance the capabilities of human workers by providing real-time guidance and improving cognitive processing [15]. This technological integration complements HRC by equipping workers with tools that optimize their performance alongside robotic partners, thereby contributing to a more efficient workflow, as outlined in the other papers;* Efficiency and ergonomics--Across these studies, there is a consensus on improving the ergonomic aspects of wire harness assembly. By redesigning workstations and task allocations, both human comfort and operational efficiency can be enhanced. The collaborative nature of the systems discussed allows for a more sustainable production approach, reducing the physical strain on workers while maximizing output. In summary, these papers collectively illustrate the importance of HRC in modern manufacturing, particularly in wire harness assembly. They advocate for integrated technologies, optimal task allocation, and ergonomic workstation designs that contribute to a more efficient and effective manufacturing process. Increasing the productivity of wire harness production by integrating new technologies is very challenging, and a part of this challenge is given by the wiring harness's complexity, which incorporates many different components assembled to serve as the nervous system that facilitates the transmission of electrical power and signals to various components and systems. To respond to this challenge, [PERSON] et al. applied a modularization concept to automate the testing processes of cable harnesses for an SME; modularization is aimed at decoupling the complexity of mechanical, electrical, electronic, and control components [16]. Besides power distribution and signal transmission, it connects components throughout the vehicle, making coordinating and synchronizing various functions possible. The wiring harness is designed to function regardless of the harsh environmental conditions within the vehicle (proximity to sharp edges, temperature variations, moisture, vibration, and exposure to chemicals). Research conducted in an aircraft industrial context proposed an A*-ACO algorithm, developed based on the A* algorithm for minimal path detection and the ant colony optimization algorithm, to improve wiring harness layout. Tests done on industrial examples showed an improvement in adapting to the fabrication constraints and reducing the loops [17]. Other studies focus on integrating AI techniques to improve manufacturing outcomes in wiring harness production. [PERSON] et al. explored the enabling of deep learning through synthetic data, specifically in the context of automotive wiring harness manufacturing. This approach allows for the generation of diverse training datasets, which is crucial for enhancing the performance of AI models [18]. Similarly, [PERSON] et al.