Impact of advanced manufacturing on sustainability: An overview of the special volume on advanced manufacturing for sustainability and low fossil carbon emissions Mingzhou Jin a, b, * , Renzhong Tang b , Yangjian Ji b , Fei Liu c , Liang Gao d , Donald Huisingh e a Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, TN, USA b Industrial Engineering Center, Zhejiang University, Hangzhou, Zhejiang, China c Institute of Manufacturing Engineering, Chongqing University, China d Department of Industrial & Manufacturing Systems Engineering, Huazhong University of Science and Technology, China e Institute for a Secure and Sustainable Environment, University of Tennessee, Knoxville, TN, USA article info Article history: Received 17 May 2017 Accepted 19 May 2017 Available online 19 May 2017 Handling Editor: Yutao Wang Keywords: Advanced manufacturing Sustainability Design theory and methodology Energy efficiency Parameter optimization Process planning and production scheduling Supply chain innovation Product-service systems Remanufacturing abstract Advanced manufacturing uses emerging technologies to critically enhance not only the economic competitiveness of individual manufacturers but also the sustainability of the whole industrial sector. New materials and technologies require new manufacturing processes and novel analytical models for process controls and parameter optimization regarding cost, reliability, quality, product flexibility, energy consumption, and fossil carbon emissions. The successful adoption of advanced manufacturing for sus- tainability can only be realized by following a systematic approach from concept development, product design and manufacturing to product delivery and service as well as in forward and reverse supply chain management. This special volume reports on progress of advanced manufacturing on sustainability improvements along the whole life cycle and covers the six themes: 1. Design theory and methodology for sustainability with advanced manufacturing; 2. Energy efficiency assessment and control of me- chanical manufacturing systems; 3. Parameter optimization for advanced manufacturing and remanu- facturing; 4. Low fossil-carbon process planning and production scheduling; 5. Integration of supply- chain innovations and advanced manufacturing; 6. Sustainable innovation for product-service systems. In addition, this SV introductory article, highlights future research directions, such as the need for energy consumption and emission data for advanced manufacturing processes, optimization models and control schemes, supply chain innovations, and product-service integration. © 2017 Elsevier Ltd. All rights reserved. 1. Introduction The manufacturing industry is responsible for about 29% of the total direct CO 2 emissions from the industrial sector (IPCC, 2014; IEA, 2016). Reducing energy consumption and fossil-carbon emis- sions in manufacturing processes is crucial for societal sustain- ability. The IPCC report pointed out that the absence of acceptance of advanced manufacturing processes is a major obstacle for reducing energy consumption and emissions in the manufacturing industry. Advanced manufacturing focuses on the coordination of information, automation, computation, software, sensing, and networking in manufacturing (PCAST, 2011). Advanced manufacturing uses new materials and emerging technologies (e.g., additive manufacturing and digital manufacturing) and is expected to be essential, not only for the economic competitiveness of in- dividual manufacturers at a global scope, but also for the sustain- ability of the overall industrial sector. New materials and technologies of advanced manufacturing require new manufacturing processes and novel analytical models for process controls and parameter optimization regarding cost, quality and reliability, product flexibility, remanufacturability, energy con- sumption, and fossil carbon emission reductions. It is expected that those new processes will profoundly transform manufacturing systems, including facility design, scheduling, process planning, material handling, workforce scheduling, quality control, and in- ventory management. Furthermore, the successful adoption of * Corresponding author. Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, TN, 37934, USA. E-mail address: jin@utk.edu (M. Jin). Contents lists available at ScienceDirect Journal of Cleaner Production journal homepage: www.elsevier.com/locate/jclepro http://dx.doi.org/10.1016/j.jclepro.2017.05.101 0959-6526/© 2017 Elsevier Ltd. All rights reserved. Journal of Cleaner Production 161 (2017) 69e74