In this paper, we address the inherent limitations in traditional assembly line balancing, specifically the assumptions that task times are constant and no defective outputs occur. These assumptions often do not hold in practical scenarios, leading to inefficiencies. To address these challenges, we introduce a framework utilizing an "adjusted processing time" approach based on the distributional information of both processing times and defect occurrences. We validate our framework through the analysis of two case studies from existing literature, demonstrating its robustness and adaptability. Our framework is characterized by its simplicity, both in understanding and implementation, marking a substantial advancement in the field. It presents a viable and efficient solution for industries seeking to enhance operational efficiency through improved resource allocation.

翻译：本文针对传统装配线平衡中存在的固有局限性，特别是作业时间恒定且无缺陷产出的假设进行了研究。这些假设在实际场景中往往难以成立，从而导致效率低下。为解决这些挑战，我们引入了一种基于作业时间和缺陷发生分布信息的"调整后处理时间"框架。通过对现有文献中的两个案例研究进行分析，我们验证了该框架的鲁棒性和适应性。该框架以其在理解和实施上的简洁性为特点，标志着该领域的重大进展。它为寻求通过改进资源配置来提升运营效率的行业提供了一种可行且高效的解决方案。