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Model development of reverse logistics in the distribution and transportation network (case study of plastic waste management in Indonesia)
Suryana H., Putro H.P.H.b, Yudoko G.b, Dirgahayani P.b
a School of Architecture, Planning and Policy Development, Bandung Institute of Technology (ITB), Suryakancana University, Cianjur, Indonesia
b School of Architecture, Planning and Policy Development, Bandung Institute of Technology (ITB), Bandung, 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]© Medwell Journals, 2017.Development of network model of reverse logistics based business activity on plastic waste management, a business activity in the process of determining the distribution network and transport waste plastic as the case may be which is reinforced by literature review regarding the business activity the same in some other countries such as India and Turkey. Reverse logistics is currently one of the best alternatives that can be considered to reduce the limited resources of raw materials. Models developed in the determination of reverse logistics network is based on the observation of this with a kind of business activity that occurred in Indonesia in this case the plastic waste management business activities that can provide economic value for the perpetrators and reinforced with activities similar businesses in other countries. The aim of research to develop models of reverse logistics in the determination of the distribution network and transport-related business activity management of plastic waste. Reverse logistics network decision model can be developed based on empirical data with multiple scenarios in observing the behavior and characteristics of the variables of the model.[/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][/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]Determination,Management,Model development,Network distribution,Perpetrators,Reverse logistics,Transportation[/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/10.3923/jeasci.2017.6649-6654[/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]