A CONCEPTUAL MODEL OF LOCATION SELECTION OF BONDED LOGISTICS CENTER SUPPORTING LARGE INDUSTRIES BASED ON A COMBINATION OF FUZZY AHP AND FUZZY TOPSIS
Free trade in the globalization era has brought rapid and extensive changes to supply chain activities. Raw materials to fulfill industrial needs are not only supplied from within the country but also abroad. The raw materials originating from abroad require storage prior to being used by industr...
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Free trade in the globalization era has brought rapid and extensive changes to supply
chain activities. Raw materials to fulfill industrial needs are not only supplied from
within the country but also abroad. The raw materials originating from abroad require
storage prior to being used by industry. The bonded logistics center is a location for
bonded storage meant for storing goods originating from the outside of the customs
area and the ones within the customs area with various facilities provided by the
government, as in the suspension of import duties and a storage period of up to three
years. The bonded logistics center is a strategic facility that holds an important role
within the logistics system, hence the management efficiency is highly dependable on
its location. Determining the location of the bonded logistics center is still an issue that
is often discussed. This proves quite complex because it involves stakeholders.
Selecting the bonded logistics center weighs on several criteria that tend to be
subjective and qualitative. This research is aimed at formulating the model of
decision-making for selecting the bonded logistics center supporting large
industries. A methodology of fuzzy multi-criteria decision-making helps to obtain
an effective decision. The fuzzy approach allows a more accurate process of
decision-making through the input of human preferences that are vague. As of
now, studies that combine the fuzzy technique to weigh the criteria and select the
alternative location for the bonded logistics center are still rare. This research
combines Fuzzy AHP and Fuzzy TOPSIS to select the location for the bonded
logistics center supporting the large industries in West Java.
The main input for the application of the multi-criteria decision-making used in
this research is the result from the expert respondents’ questionnaire. The criteria
and sub-criteria were obtained from the focus group discussion involving
academics, business, and government. To overcome the vagueness of the expert’s
perception, a linguistic variable and triangular fuzzy number are used. The
alternative of the bonded logistics center location within the hierarchical structure
was obtained descriptively based on the literature review on industrial areas in
West Java.4
The weighting of the criteria and sub-criteria for selecting the location of the bonded
logistics center uses Fuzzy AHP. The Fuzzy AHP approach allows a more accurate
description of the decision-making process by using comparison ratios. Meanwhile, in
determining the location preferences of the bonded logistics center, the study uses
Fuzzy TOPSIS. The Fuzzy TOPSIS approach gives various alternatives and criteria
used in a decision-making process. The Fuzzy AHP and Fuzzy TOPSIS integration in
this research creates a more accurate representation of the relationship among criteria
and gives alternatives that support the complex decision-making process in selecting
the location of the bonded logistics center to support large industries.
The result obtained from using the Fuzzy AHP method, the criteria with the highest to
lowest final weight values are regulation, accessibility, cost, property condition,
infrastructure service, and economic growth. This research contributes to the
conceptual framework for selecting the location of the bonded logistics center with
regulations as the criteria being considered. Based on the preference value on the
TOPSIS fuzzy technique, the ranking sequence for the bonded logistics center
locations is the Jabebeka industrial area, MM2100 industrial area, East Jakarta
Industrial Park industrial area, and the Marunda Center industrial area. This study
provides an implication for the policy of the bonded logistics centers. For the bonded
logistics center holders, it is important for them to pay attention to the location of the
bonded logistics centers that are in line with the spatial and regional arrangements. The
implications of further research can add a group of freight forwarders in regard to the
decision-making when selecting the bonded logistics centers. |
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SF, Syafrianita |
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SF, Syafrianita A CONCEPTUAL MODEL OF LOCATION SELECTION OF BONDED LOGISTICS CENTER SUPPORTING LARGE INDUSTRIES BASED ON A COMBINATION OF FUZZY AHP AND FUZZY TOPSIS |
author_facet |
SF, Syafrianita |
author_sort |
SF, Syafrianita |
title |
A CONCEPTUAL MODEL OF LOCATION SELECTION OF BONDED LOGISTICS CENTER SUPPORTING LARGE INDUSTRIES BASED ON A COMBINATION OF FUZZY AHP AND FUZZY TOPSIS |
title_short |
A CONCEPTUAL MODEL OF LOCATION SELECTION OF BONDED LOGISTICS CENTER SUPPORTING LARGE INDUSTRIES BASED ON A COMBINATION OF FUZZY AHP AND FUZZY TOPSIS |
title_full |
A CONCEPTUAL MODEL OF LOCATION SELECTION OF BONDED LOGISTICS CENTER SUPPORTING LARGE INDUSTRIES BASED ON A COMBINATION OF FUZZY AHP AND FUZZY TOPSIS |
title_fullStr |
A CONCEPTUAL MODEL OF LOCATION SELECTION OF BONDED LOGISTICS CENTER SUPPORTING LARGE INDUSTRIES BASED ON A COMBINATION OF FUZZY AHP AND FUZZY TOPSIS |
title_full_unstemmed |
A CONCEPTUAL MODEL OF LOCATION SELECTION OF BONDED LOGISTICS CENTER SUPPORTING LARGE INDUSTRIES BASED ON A COMBINATION OF FUZZY AHP AND FUZZY TOPSIS |
title_sort |
conceptual model of location selection of bonded logistics center supporting large industries based on a combination of fuzzy ahp and fuzzy topsis |
url |
https://digilib.itb.ac.id/gdl/view/70144 |
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1822006225355669504 |
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id-itb.:701442022-12-26T16:12:30ZA CONCEPTUAL MODEL OF LOCATION SELECTION OF BONDED LOGISTICS CENTER SUPPORTING LARGE INDUSTRIES BASED ON A COMBINATION OF FUZZY AHP AND FUZZY TOPSIS SF, Syafrianita Indonesia Dissertations bonded logistics centers, large industries, location, Fuzzy AHP, Fuzzy TOPSIS, West Java. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/70144 Free trade in the globalization era has brought rapid and extensive changes to supply chain activities. Raw materials to fulfill industrial needs are not only supplied from within the country but also abroad. The raw materials originating from abroad require storage prior to being used by industry. The bonded logistics center is a location for bonded storage meant for storing goods originating from the outside of the customs area and the ones within the customs area with various facilities provided by the government, as in the suspension of import duties and a storage period of up to three years. The bonded logistics center is a strategic facility that holds an important role within the logistics system, hence the management efficiency is highly dependable on its location. Determining the location of the bonded logistics center is still an issue that is often discussed. This proves quite complex because it involves stakeholders. Selecting the bonded logistics center weighs on several criteria that tend to be subjective and qualitative. This research is aimed at formulating the model of decision-making for selecting the bonded logistics center supporting large industries. A methodology of fuzzy multi-criteria decision-making helps to obtain an effective decision. The fuzzy approach allows a more accurate process of decision-making through the input of human preferences that are vague. As of now, studies that combine the fuzzy technique to weigh the criteria and select the alternative location for the bonded logistics center are still rare. This research combines Fuzzy AHP and Fuzzy TOPSIS to select the location for the bonded logistics center supporting the large industries in West Java. The main input for the application of the multi-criteria decision-making used in this research is the result from the expert respondents’ questionnaire. The criteria and sub-criteria were obtained from the focus group discussion involving academics, business, and government. To overcome the vagueness of the expert’s perception, a linguistic variable and triangular fuzzy number are used. The alternative of the bonded logistics center location within the hierarchical structure was obtained descriptively based on the literature review on industrial areas in West Java.4 The weighting of the criteria and sub-criteria for selecting the location of the bonded logistics center uses Fuzzy AHP. The Fuzzy AHP approach allows a more accurate description of the decision-making process by using comparison ratios. Meanwhile, in determining the location preferences of the bonded logistics center, the study uses Fuzzy TOPSIS. The Fuzzy TOPSIS approach gives various alternatives and criteria used in a decision-making process. The Fuzzy AHP and Fuzzy TOPSIS integration in this research creates a more accurate representation of the relationship among criteria and gives alternatives that support the complex decision-making process in selecting the location of the bonded logistics center to support large industries. The result obtained from using the Fuzzy AHP method, the criteria with the highest to lowest final weight values are regulation, accessibility, cost, property condition, infrastructure service, and economic growth. This research contributes to the conceptual framework for selecting the location of the bonded logistics center with regulations as the criteria being considered. Based on the preference value on the TOPSIS fuzzy technique, the ranking sequence for the bonded logistics center locations is the Jabebeka industrial area, MM2100 industrial area, East Jakarta Industrial Park industrial area, and the Marunda Center industrial area. This study provides an implication for the policy of the bonded logistics centers. For the bonded logistics center holders, it is important for them to pay attention to the location of the bonded logistics centers that are in line with the spatial and regional arrangements. The implications of further research can add a group of freight forwarders in regard to the decision-making when selecting the bonded logistics centers. text |