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In this paper, we describe our work and experiences with integrating environmental and economic performance monitoring in a production facility of Interface Flooring Systems, Inc. The objective of the work is to create a ‘dashboard’ that integrates environmental and economic monitoring and assessment of manufacturing processes, and provides engineers and managers an easy to use tool for obtaining valid, comparable assessment results that can be used to direct attention towards necessary changes. To this purpose, we build upon existing and familiar cost management principles, in particular Activity-Based Costing and Management (ABC&ABM), and we extend those into environmental management in order to obtain a combined economic and environmental performance measurement framework (called Activity-Based Cost and Environmental Management).

Numerous studies have pointed out the growing need to assess the availability of water sources in numerous regions around the world as future forecasts suggest that water demands will increase significantly while freshwater resources are being depleted. In this paper, we highlight the difference between water use versus consumption and analyze the life-cycle water consumption of a car from material extraction through production, use, and final disposition/end of life and determine a car's water footprint using data from the EcoInvent database as well as data collected from literature sources. Although water use is typically metered at the factory level, water consumption (i.e., water lost through evaporation and/or incorporation into a material, part, and/or product) is much harder to quantify. As shown in this paper, the difference can be an order of magnitude or more.

Cutter runout has been a target for monitoring and control of machining processes in view of the constraint it places on the achievable productivity. Off-line metrology based on various displacement probes such as dial indicators or proximity sensors provides information regarding the runout characteristics in a non-cutting state. However, during the actual process of machining off-line calibrations often become irrelevant since the cutting parameters and machining configuration significantly affect the behavior of runout. This paper presents a methodology of in-process identification of cutter runout in end milling based on the analysis of cutting forces. The presence of cutter runout generates cutting force components at one spindle frequency above and below the tooth passing frequency.