GOALI: Sequencing the Assembly Line and Analyzing Manufacturing Complexity to Enhance Supply Chain Management

该项目的第一个主要研究目标是对装配厂动态条件下的混合模型进行有效排序，以便工厂和供应商能够提前知道下游装配部分的序列。第二个主要目标是开发一个模型和方法来评估有多种产品选择的制造成本。这项研究工作可以为加强工厂的生产控制和供应链管理以及潜在的类似生产环境带来重大机会。混合模型装配可以提供成品输出更均匀的生产环境，装配线上的零件使用率更均匀，装配站之间的工作负载可能更均匀。在装配厂，混合型号的皮卡在一条7英里长的装配线上生产。由于在上游装配线的整体喷漆实践和意外的生产问题，预期的混合模型序列在到达下游装配线部分之前进行了重大修改。然而，在下游部分，许多供应商需要提前知道模型序列，以实现有序的零件交付。本研究将尝试在这些动态条件下开发混合模式测序，以实现对序列的提前了解。这项研究的发展有望对类似的工业环境有所帮助。目前，客户可以在驾驶室，箱体样式，发动机，驱动器，轮胎，车轴，门和颜色等功能上提供大量选择。大量的期权组合对生产、材料和库存成本有重大影响。本研究试图开发一个模型来评估对制造和材料管理有各种选择和选项的影响。此外，本研究试图将生产成本和产品复杂性更紧密地联系起来，以协助在这方面作出合理的决策。

This Grant Opportunities for Academic Liaison with Industry (GOALI) project's first major research objective is to effectively sequence mixed models under dynamic conditions in an assembly plant so that the sequence at the downstream assembly sections can be known in advance to the plant and suppliers. The second major objective is to develop a model and method in evaluating the manufacturing costs for having many choices in product options. This research effort can result in significant opportunities to enhance production control and supply chain management at the plant and potentially for similar production environments. Mixed-model assembly can provide a production environment with more even output of finished products, more even part usage rates on the assembly line, and potentially more even workloads among assembly stations. At the assembly plant, mixed models of pickup trucks are produced on a seven-mile long assembly line. Due to a block-painting practice and unexpected production problems in the upstream assembly sections, the intended mixed-model sequence is significantly revised prior to reaching the downstream assembly line sections. At the downstream sections, however, many suppliers need to know the model sequence in advance in order to achieve sequenced part delivery. This research will attempt to develop mixed-model sequencing under these dynamic conditions in order to achieve advance knowledge of the sequence. Development from this research is expected to be useful for similar industrial environments.Currently, customers are offered a vast number of choices in features such as cabs, box styles, engines, drives, tires, axles, doors, and colors. The vast number of option combinations has a significant impact on production, material, and inventory costs. This research attempts to develop a model for evaluating the impact of having various choices and options on manufacturing and material management. Also, this research attempts to more closely link production costs and product complexity in order to assist in sound decision making in this regard.