This newly revised edition helps today?s manufacturing companies face the challenges of a global marketplace where every part of the operation must become more efficient to enhance the bottom line. Based on the results and conclusions of an applied research project of process manufacturing operations directed by the author, Bottom-Line Automation presents an overview of more than 30 years of industry trends, pointing out the strengths and pitfalls of each. The book also explains how manufacturers selected automation technology suppliers for state-of-the-art technological features in their systems rather than for the improvements the technology could offer the manufacturing operation. New topics in the book discuss the economic optimization of industrial assets. Key findings include the fact that returns on automation investments were rarely, if ever, calculated. In fact, accounting systems were not even capable of measuring the performance offered by process automation systems. The author explains a strategy for measuring and improving automation system performance for the ultimate goal?the bottom line, and provides case studies of how such a strategy was implemented in three process manufacturing organizations. The author brings more than 30 years of industry experience, education, and research together in this unprecedented work.
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List of Figures
A Solution Without a Problem xv
The Drive to Economic Performance 1
8 other sections not shown
action plan activity-based costing aligned approach asset availability asset set asset utilization automation systems automation technology business value companies concept continuous improvement corporate cost accounting systems Cost Management cost-per-unit-product-made developed discrete manufacturing distributed control systems DPMs drive dynamic performance measures Dynegy economic performance Edwards Deming engineering enterprise resource planning facturing Figure focus Foxboro Company functions global Harvard Business impact implemented incineration INDUSTRIAL ASSETS industrial operations interviews Juran labor lean manufacturing lean production maintenance Management for Today's mance measures manu manufac manufacturing manager manufacturing operations manufacturing performance manufacturing process manufacturing strategy ment metrics objective opera optimization performance improvement performance mea performance measurement systems plant assets plant operations plant performance process manufacturing process plants quality improvement quality indicators real-time result Six Sigma solvent solvent recovery statistical supporting assets tegic tion Today's Advanced Manufacturing Total Quality Management trends turing typically Vollmann Decomposition