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Measurement and Development of Humanware and Technoware Competencies in Order to Meet Pintle Chain Product Requirements in Bandung Manufacture Polytechnic
Akbar J.a, Akbar M.a, Irianto D.a
a Faculty of Industrial Technology, Institut Teknologi Bandung, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© Published under licence by IOP Publishing Ltd.Politeknik Manufaktur Bandung (Bandung Manufacture Polytechnic) is a polytechnic education that is not only to educate their students, but also manufactures order from customers at its teaching factory. This polytechnic is usually not responsive with the number of reject due to amateur operators from newcomer students. However, customers will be displeased if the reject rate is too high which can cause delay of delivery. At the foundry section, pintle chain is a product that has the highest amount of quantity but the lowest product standard fulfilment. Realizing this problem, it is a strong need to give more focus on quality improvement. The polytechnic considers that bad quality is not only related to low level of humanware (operator) but also related to low level of technoware (machine and equipment). In this research, QFD model was used as a tool for identifying target of improvement of non conforming factors of humanware and technoware using UNESCAP’s technometric model. An improvement was done by implementing new scheduling strategy at foundry unit in order to minimize waiting time from molding to pouring process because of deterioration problem. This strategy provides an opportunity to reduce completion times about 50% and waiting time about 95% compared to the existing scheduling strategy.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Bad quality,Chain products,Completion time,Product standards,QFD models,Quality improvement,Scheduling strategies,Waiting-time[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1088/1757-899X/114/1/012081[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]