GOALI: An Integrative Approach to Concurrent Process Planning and Production Planning in Electronics Manufacturing

该学术与工业联络资助机会（GOALI）项目将开发并行工艺规划和生产计划的综合方法，重点是电子装配系统。今天，由于电子产品的生命周期缩短，新产品的推出更加频繁，以及客户需求概况的不断变化，工艺计划和生产计划的制定更加频繁。此外，一种产品从小批量需求到大批量需求的转变可以迅速发生。因此，一种生成互补工艺计划和生产计划的有效方法对于提高电子制造系统的生产率和响应能力是重要的。本研究的目标如下：(1)开发一个集成框架并识别关键决策问题；(2)为由此产生的决策问题开发分析模型和解决方法；(3)评估集成方法对制造系统效率和生产力的影响。通过这种综合方法，可以研究以下问题：(1)在哪种需求概况下，应该采用各种设置策略来最大化生产率？(2)对于给定的需求，产品和资源应该如何分配？(3)为了实现制造目标，需要什么水平的资源能力？将开发新的决策模型，以有效地整合过程计划和生产计划功能。预期的结果包括通过改进计划决策来提高生产力的技术，支持管理决策的算法，以及新的案例研究结果。拟议的研究有可能通过改进制造功能的集成来提高响应能力和生产力，通过更有效地使用昂贵的装配设备来减少资本支出，并减少评估和实施变更所需的工程时间。这些研究目标是与爱立信公司合作进行的。

This Grant Opportunity for Academic Liaison with Industry (GOALI) project will develop an integrative approach for concurrent process planning and production planning, with an emphasis on electronic assembly systems. Today, the development of process plans and production plans occurs more often due to the reduced life cycle of electronic products, more frequent introduction of new products, and continual changes in customer demand profiles. Furthermore, the transition from low volume demand to high volume demand for a product can occur rapidly. Thus, an effective means of generating complementary process plans and production plans is important to improve productivity and responsiveness in electronics manufacturing systems. The objectives of this research effort are as follows: (1) to develop an integrated framework and identify critical decision problems, (2) to develop analytical models and solution approaches for the resulting decision problems, and (3) to evaluate the impact of an integrated approach on the efficiency and productivity of the manufacturing system. With this integrative approach, the following questions can be investigated: (1) Under which demand profiles should various setup strategies be employed to maximize productivity? (2) How should products and resources be allocated for a given demand profile? (3) What levels of resource capacity are needed in order to achieve the manufacturing objectives? New decision models will be developed to efficiently integrate the process planning and production planning functions. Expected results include techniques to increase productivity through improved planning decisions, algorithms to support management decisions, and new case study results. The proposed research has the potential to increase responsiveness and productivity through the improved integration of manufacturing functions, to reduce capital expenditures through more effective use of expensive assembly equipment, and to reduce engineering time required to evaluate and implement changes. These research objectives are pursued in collaboration with Ericsson, Inc.