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Images can provide critical information for quality engineering. Exploratory image data analysis (EIDA) is proposed here as a special case of EDA (exploratory data analysis) for quality improvement problems with image data. The EIDA method aims to obtain useful information from the image data to identify hypotheses for additional exploration relating to key inputs or outputs. The proposed four steps of EIDA are: (1) image processing, (2) image-derived quantitative data analysis and display, (3) salient feature (pattern) identification, and (4) salient feature (pattern) interpretation. Three examples illustrate the methods for identifying and prioritizing issues for quality improvement, identifying key input variables for future study, identifying outliers, and formulating causal hypotheses. [ABSTRACT FROM AUTHOR]

DHL Supply Chain North America moves more than one billion packages each year for corporate customers. Its transportation planners perform routing, bidding, and improvement tasks for many business projects. Prospective customers require DHL to compete to win their business by solving their delivery problems, improving existing supply chain designs, and guaranteeing savings by using fewer trucks or less fuel. Our new transport network optimization (TNO) software suite gives DHL a significant edge in these bidding and improvement tasks. The four modules in the TNO software are as follows: (1) freight optimization, (2) fleet (sizing) optimization, (3) connection hub or pool point-related optimization, and (4) round-trip optimization. We use innovative integer programming approaches in the TNO software, which we developed and implemented in collaboration with Ohio State University, including a new type of two-color ant colony search to efficiently address outsourcing in the first module and the use of dynamic programming for subproblems. Over 2.5 years since 2020, TNO has led to over $117 million in estimated savings for DHL Supply Chain North America and its customers, contributing a 20% win-rate increase and reducing CO2 emissions by at least 0.1 megatons. [ABSTRACT FROM AUTHOR]