An Assessment of Sustainability for Turning Process in an Automobile Firm

Abstract The concept of Sustainable Manufacturing (SM) has emerged out as a key alternative to improving the performance of machining processes. Though there are many descriptive frameworks available in the literature to assess sustainability still, they are difficult to implement in manufacturing industries due to the limitation on quantifying certain parameters. This paper tends to present a sustainability assessment framework for turning process with respect to the manufactured product in the case industry from the economic and environmental point of view using empirical relations after conducting the experiments at full tool wear criteria. The results are expected to provide an understanding to the industry professionals on the difference between three machining scenario's concurrent to operating conditions being followed in the industry by giving more weightage to economic and environmental indicators separately. In addition to this, a social sustainability assessment framework has also been proposed after consultation with few manufacturing industries in order to make it easy for them to adapt and enhance the sustainability of machining process.

[1]  Janet M. Twomey,et al.  Unit Process Life Cycle Inventory for Product Manufacturing Operations , 2009 .

[2]  N. H. Cook,et al.  Tool Wear and Tool Life , 1973 .

[3]  Pengyu Li,et al.  A quantitative approach to analyze carbon emissions of CNC-based machining systems , 2015, J. Intell. Manuf..

[4]  S. G. Deshmukh,et al.  Enablers and barriers of sustainable manufacturing: Results from a survey of researchers and industry professionals , 2015 .

[5]  Masoud Azadi Moghaddam,et al.  Multi Objective Optimization of Turning Process Using Grey Relational Analysis and Simulated Annealing Algorithm , 2011 .

[6]  Elita Amrina,et al.  Key performance indicators for sustainable manufacturing evaluation in automotive companies , 2011, 2011 IEEE International Conference on Industrial Engineering and Engineering Management.

[7]  Toshiharu Kagawa,et al.  Study on the basic characteristics of a vortex bearing element , 2013 .

[8]  Christoph Herrmann,et al.  Energy Efficiency Measures for the Design and Operation of Machine Tools: An Axiomatic Approach , 2011 .

[9]  Paul Mativenga,et al.  An Investigation of the Tool-Chip Interface Temperature and Heat Partition in High-speed Machining of AISI/SAE 4140 Steel with TiN-coated Tool , 2007 .

[10]  Hari Vasudevan,et al.  Grey Fuzzy Multiobjective Optimization of Process Parameters for CNC Turning of GFRP/Epoxy Composites☆ , 2014 .

[11]  A. Brent,et al.  Assessing the sustainability performances of industries , 2005 .

[12]  Ronald A. Walsh McGraw-Hill machining and metalworking handbook , 1998 .

[13]  Chien-Ho Wu,et al.  On the application of Grey relational analysis and RIDIT analysis to Likert scale surveys , 2007 .

[14]  John W. Sutherland,et al.  A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction , 2011 .

[15]  Huai Gao,et al.  A modeling method of task-oriented energy consumption for machining manufacturing system , 2012 .

[16]  Christian N. Madu Handbook of Environmentally Conscious Manufacturing , 2012 .