{'fraction_non_alphanumeric': 0.015429122468659595, 'fraction_numerical': 0.0009643201542912247, 'mean_word_length': 5.4875, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Diagnosability and Measurement Configurations for Automotive Body Assembly


 An automotive body assembly system usually consists of processes and machines in a multi-leveled hierarchy. As a result, dimensional variation in the final product is accumulated as the product moves along the assembly system. To identify variation problems in such a complex system, proper design and placement of measurement systems is essential. In this paper, analytical models are proposed to aid the design of measurement configurations. First, the concept of assembly fault diagnosability for automotive body assemblies is introduced so that which stations or subassemblies in the multi-leveled assembly system need to be measured can be identified. Second, quantitative indices are proposed to evaluate measurement configurations so that effective fault diagnosis can be achieved optimally. Finally, a simple 1-D sheet metal assembly and an automobile door assembly are given as examples to demonstrate the effectiveness of the proposed methodologies.