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merits, the approach aids reconfigurability for different modeling tasks, support for distributed machining execution and control and data connection between high-level and low-level data. Electricity demand response is considered a promising tool to balance the electricity demand and supply during peak pe- riods. The mature research on implementing this concept for residential and commercial buildings has now been extended to manufacturing. In paper #4006 from the 2014 ASME Manufacturing Science and Engineering Conference (MSEC), a simulation-based optimization method is developed to identify the optimal demand response decision for the typical manu- facturing systems of multiple machines and buffers. A framework for addressing the challenges and meth- ods of joint production and energy modeling of sustainable manufacturing systems is discussed in another MSEC 2014 paper (#4068). Detailed research tasks of the framework are on the modeling of production, energy efficiency, electricity demand, cost and demand response decision making. Joint production and energy scheduling problem formulations and
the solution technique are discussed, along with applications of the model in system parameter selection, rate plan switch- ing decision making and demand response scheduling.
Process-Oriented Models Development of a process-oriented design information model for sustainable manufacturing is described by Heng Zhang and colleagues from Syracuse University in a pa- per presented at the 2014 North American Manufacturing Research Conference (NAMRC;
www.sme.org/namrc; paper #4457). The paper proposes a three-layered framework that can evaluate energy consumption for different processes un- der a generalized information core. The sustainability analysis of a gear design is presented to demonstrate the framework. Sustainability indicators for discrete manufacturing
processes applied to grinding technology are developed by Barbara Linke, Gero Corman, David Dornfeld and Stefan Tönissen in a paper from NAMRC 2013 (published in the Journal of Manufacturing Systems;
http://tinyurl.com/JMS- sustain-grind). Simple and relevant sustainability indicators are displayed as a performance profile that is individual to each manufacturing process variant. The whole procedure is executed with a grinding process case study and provides a straightforward method for evaluating sustainability of discrete manufacturing processes. New concepts for bio-inspired sustainable grinding
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are developed by Barbara Linke and Jorge Moreno in a paper presented at NAMRC 2014 (paper #4409). Bio- inspired design is one promising and innovative approach to design better products and processes. The authors use bio-inspired design to find new process setups for novel grinding system components to address problems defined through an axiomatic grinding model. Also discussed are bio-inspired ideas for chip transport and tool cleaning, abra- sive wear resistance, self sharpening, breaking air barriers, cooling and new process environments.
Modeling the Pillars of Sustainability Much research has focused on developing structured
approaches for considering the economic, environmental and social impacts of sustainability and how to incorporate them into decision-making tools for manufacturing processes and enterprises. Several papers from NAMRC and MSEC have presented various models and frameworks. A NAMRC 2010 paper (SME Technical Paper TP- 10PUB108), by Margot J. Hutchins, John S. Gierke and
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AdvancedManufacturing.org | July 2015
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