{'fraction_non_alphanumeric': 0.01454234388366125, 'fraction_numerical': 0.003421727972626176, 'mean_word_length': 5.763005780346821, '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}}
A Digitalization Model Structure for Sustainable and Enhanced Profitability in Industry 4.0

A Digitalization Model Structure (DMS) for industry 4.0 operations that utilizes concepts of systems analysis coupled with valuation of outputs is presented here. The conceptual model and associated data analytics should allow optimization of any industrial operation, identify incremental needs for innovation and development, and appropriate approaches for their implementation to achieve desired results with a good understanding of return on incremental investments. It considers interactions among all subsystems of an industrial system to identify needs for improvements and evaluations of alternate solutions. The feasibility of machine learning and artificial intelligence and their impacts on profitability can also be assessed. Initially, the data gathered should allow for more effective planning of unit operations based on deterministic (average) values but as more data are analysed, the model could be used for stochastic planning and profitability modelling. The authors illustrate proposed use of the model with an example for open-pit coal mining operations.