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在装配工厂的动态条件下有效地对混合模型进行排序，以便工厂和供应商可以提前了解下游装配部分的顺序。 第二个主要目标是开发一个模型和方法，在评估制造成本有许多选择的产品选项。 这项研究工作可以带来重大的机会，以加强工厂的生产控制和供应链管理，并可能为类似的生产环境。 混流装配可以提供一个生产环境，具有更均匀的成品输出，装配线上更均匀的零件使用率，以及装配站之间可能更均匀的工作负载。 在装配厂，混合型号的皮卡车在一条7英里长的装配线上生产。 由于上游装配段中的块体喷漆实践和意外的生产问题，在到达下游装配线段之前，预期的混合模型顺序被显著修改。 然而，在下游部分，许多供应商需要提前知道模型顺序，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型测序，以实现对序列的预先了解。从这项研究的发展，预计将是有用的类似的工业环境。目前，客户提供了大量的选择，如驾驶室，盒的风格，发动机，驱动器，轮胎，车轴，门，和颜色的功能。大量的期权组合对生产、材料和库存成本有重大影响。 本研究试图建立一个模型来评估各种选择和选择对制造和材料管理的影响。 此外，本研究试图更密切地联系生产成本和产品的复杂性，以协助在这方面的合理决策。

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.