Speakers
Description
Abstract:- The main objective of this study was to assess the awareness levels of academic staffs and industry experts towards the best practices of additive manufacturing (AM) in transforming traditional manufacturing (TM) ) in local context. The study used closed ended questionnaires with 1-5 liker scales to collect questionnaires from the respondents. The collected data’s were analyzed using descriptive statistics (frequency and percentage) by using SPSS v20 software. The findings of this paper identified eight (8) AM best benefit factors (Material utilization benefits factors, Product design optimization benefits factors, Cost reduction benefits factors, Ability of changing customer demand benefits factors, Manufacturing flexibility benefits factors, Resource consumption benefits factors, SC network improvement benefits factors and SC flexibility benefits factors) in transforming TM in local context. Among the eight AM best practices both academic staffs and industry experts have common awareness level on five factors. In addition findings of the study show that 49% of academic staffs and 37% of industry experts have good awareness levels towards the identified AM best practices in transfornig TM. Finally this paper developed and proposed conceptual framework for future research work to investigate the effects of AM best practices on TM performance.
key words: - Pros of additive manufacturing, traditional manufacturing, best practices, transforming, awareness levels
| Conference Topic Areas | Track8: Design Optimization, Additive Manufacturing Technologies & Applications |
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