Analysis-Enhanced Electronic Assembly Reference Scholand, A. J. (1997) Analysis-Enhanced Electronic Assembly, Doctoral Thesis Proposal, Georgia Institute of Technology, Atlanta. Abstract In general, analysis has only been used in the Electronic Assembly domain either to improve manufacturing yields through process simulation or to troubleshoot a product-process interaction problem. This research aims to improve manufacturing processes used in Electronics Assembly by developing a novel application for analysis in this domain. By taking advantage of the structured nature of manufacturing in the Electronics Assembly arena, an explicit quantification of the effect of process management on various measures of product quality is enabled. Thus, the manufacturing engineer utilizing this new Analysis-Enhanced Electronic Assembly representation can measure, and hence trade-off, the effects of process management on both the quality of goods produced and the manner in which his company meets customer demand. The methodology to carry out this research is based on 4 steps. 1) Analysis Process Mapping. Identifying where analysis can provide useful information in the manufacturing process. 2) Manufacturing-Analysis Module Associativity. Identifying (or creating) analysis models that can be used at each quantifiable process identified above. That is, we are capturing knowledge about the measures of quality important to a particular product during each process in manufacture and assembly. 3) Information Sources and Sinks. Identifying the product/process information needs of these analyses, linking to existing data sources where possible, or specifying the requirements for new data repositories. 4) Representation. Develop the structure and properties of a framework that will package these analysis modules in a 'plug-and-play' form usable by manufacturing engineers (i.e. non-analysis specialists). The deliverables of this research will be: (a) the development of a new Analysis-Enhanced Electronic Assembly representation; (b) the identification, classification, and organization of several analysis modules in a prototype toolkit; (c) example case studies showing the utility of this approach; (d) guidelines to assist in the creation of additional analysis modules and other data structures to expand the example toolkit or to develop new Analysis-Enhanced toolkits for other manufacturing domains.