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Acharya, Shakuntala and Chakrabarti, Amaresh (2018) Supporting Environmentally-Benign Design: Environmental Impact Estimation and Uncertainty Categories with Respect to Life Cycle Assessment in Conceptual Design. In: 6th International Conference on Research into Design (ICoRD), JAN 09-11, 2017, Indian Inst Technol, Guwahati, INDIA, pp. 3-18.
Chakrabarti, Amaresh and Acharya, Shakuntala and Ranjan, B S C and Devadula, Suman and Ghadge, Kiran and Madhusudanan, N and Uchil, Praveen and Srinivasan, V and Ameta, Gaurav and Rachuri, Sudarsan (2017) InDeaTe-A Computer-Based Platform with a Systematic Design Template and a Database of Methods and Tools. In: 6th International Conference on Research into Design (ICoRD), JAN 09-11, 2017, Indian Inst Technol, Guwahati, INDIA Date, pp. 277-289.
Uchil, Praveen and Ghadge, Kiran and Acharya, Shakuntala and Bhinge, Raunak and Robinson, Stefanie and Dornfeld, David and Rachuri, Sudarsan and Ameta, Gaurav and Chakrabarti, Amaresh (2017) Supporting Manufacturing System Design: A Case Study on Application of InDeaTe Design Tool for a Smart Manufacturing System Design. In: 6th International Conference on Research into Design (ICoRD), JAN 09-11, 2017, Indian Inst Technol, Guwahati, INDIA, pp. 325-335.
Acharya, Shakuntala and Ghadge, Kiran and Langfitt, Quinn Michael and Pezeshki, Charles and Ameta, Gaurav and Rachuri, Sudarsan and Chakrabarti, Amaresh (2017) Supporting Sustainable Product Design: A Case Study with InDeaTe Tool and Template at Washington State University, Pullman, WA. In: 6th International Conference on Research into Design (ICoRD), JAN 09-11, 2017, Indian Inst Technol, Guwahati, INDIA, pp. 209-224.
Acharya, Shakuntala and Chakrabarti, Amaresh (2015) SUPPORTING ENVIRONMENTALLY-BENIGN DESIGN ELUCIDATING ENVIRONMENTAL IMPACT PROPAGATION IN CONCEPTUAL DESIGN PHASE BY SAPPHIRE MODEL OF CAUSALITY. In: 20th International Conference on Engineering Design (ICED), JUL 27-31, 2015, Milan, ITALY.
Acharya, S and Chakrabarti, A (2020) A conceptual tool for environmentally benign design: Development and evaluation of a proof of concept. In: Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, 34 (1). pp. 30-44.