Scholarlink

<p>The growing diversity of product variants, accelerated technology shifts, and shorter life cycles demand highly flexible and efficient production systems in the automotive industry. Matrix-based assembly systems offer a promising response by enabling modular workstation configurations and variant-specific task execution. A key challenge lies in designing such systems for optimized task-to-resource scheduling under fluctuating workloads and varying capability requirements. This paper presents a capability-based scheduling logic tailored for matrix production environments, which incorporates heuristic rules for task assignment under constraint-based planning conditions. The algorithm is formally described through a mathematical model that defines the objective function, constraints, and decision variables, supported by prioritization heuristics. To ensure transparency and reproducibility, the scheduling logic is also visualized in a Unified Modeling Language (UML) activity diagram. A case study using real-world data from the electric vehicle final assembly of a leading OEM validates the method. Results show notable improvements in station utilization and system adaptability compared to conventional line-based configurations. The proposed scheduling framework contributes to the development of agile and human-centered production control architectures, supporting the transition toward flexible, high-variant manufacturing.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Development of a capability-based scheduling heuristic for matrix production systems

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月11日

查看全文
  • Stefanie Dechant,
  • Hans-Christian Möhring

摘要

The growing diversity of product variants, accelerated technology shifts, and shorter life cycles demand highly flexible and efficient production systems in the automotive industry. Matrix-based assembly systems offer a promising response by enabling modular workstation configurations and variant-specific task execution. A key challenge lies in designing such systems for optimized task-to-resource scheduling under fluctuating workloads and varying capability requirements. This paper presents a capability-based scheduling logic tailored for matrix production environments, which incorporates heuristic rules for task assignment under constraint-based planning conditions. The algorithm is formally described through a mathematical model that defines the objective function, constraints, and decision variables, supported by prioritization heuristics. To ensure transparency and reproducibility, the scheduling logic is also visualized in a Unified Modeling Language (UML) activity diagram. A case study using real-world data from the electric vehicle final assembly of a leading OEM validates the method. Results show notable improvements in station utilization and system adaptability compared to conventional line-based configurations. The proposed scheduling framework contributes to the development of agile and human-centered production control architectures, supporting the transition toward flexible, high-variant manufacturing.