GIS-BASED MULTI-CRITERIA DECISION-MAKING APPROACH FOR SITE SELECTION OF CROSS-DOCKING FACILITY IN A RETAIL SUPPLY CHAIN
Traffic congestion is a critical issue in nearly all over the globe. To date, the bottleneck has gotten into a new chapter. Not only occurs in the collector and arterial road segments, but it has also penetrated to the highways, which become one of the base aspects in respect to mobility manageme...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/44058 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Traffic congestion is a critical issue in nearly all over the globe. To date, the
bottleneck has gotten into a new chapter. Not only occurs in the collector and
arterial road segments, but it has also penetrated to the highways, which become
one of the base aspects in respect to mobility management. The construction of a
toll road is intended to increase the mobility and accessibility of people and goods
that will affect regional development and economic improvement. However, with
the above phenomenon, it cannot be avoided that the traffic condition on the
highways has become increasingly alarming as has happened in several
metropolitan areas. Besides providing a direct impact on road users, congestion on
the toll roads also affects retail franchise companies which play an essential role in
distributing daily needs to the communities. Therefore, companies have to spend
more costs due to waste both in terms of transport as well as productivity.
A direct-shipment is claimed to bring in lower transport cost if only the suppliers
and customers are located in the same geographical terrain, yet, for long-distance
suppliers-customers location, they may gain cost saving from the cross-docking
implementation. However, for a short-distance origin and destination, increasing
demand for products has caused retail companies to allocate more trucks, which
eventually escalate the number of freight vehicles going through the toll roads. With
a large number of freight trucks operated in their supply chain, it has supplemented
significantly to congestion on the highways. Thus, a cross-docking idea, which is
one of the distribution strategies, is proposed in this research.
A challenging issue in a cross-docking system for long-term planning involves the
decision of facility location. The development of a cross-docking facility for a retail
company is expected to make the performance, especially products shipment to the
outlets, run more effective and efficient. This research will focus on providing aii
comprehensive site selection framework for the cross-docking facility within a city
territory from multiple criteria as well as multiple stakeholders.
Firstly, eight criteria for the site selection are identified, i.e. zoning, flood-prone,
closeness to toll booth, road accessibility, outlet proximity, population size, land
price, and transport cost. Meanwhile, criteria weights are derived from pairwise
comparison using Row Geometric Mean Method (RGMM). It involves 18 experts
coming from three distinct dimensions, namely academic, business, and
government. Exploiting the criteria performance and consensus criteria weights,
suitability analysis is carried out in ArcGIS. Specifically, it exerts minimization
weighted sum method on raster-based map layers. This analysis generates 234
suitable locations for establishing cross-docking facility. Explore more deeply to
the preferred locations which is in the rank 1; it unfolds that the suitability is
principally rendered by the flood-free, transport cost, area zonation, outlet
proximity, road accessibility, and land price factors. Meanwhile, the closeness to
toll booth is mediocre. Regrettably, these areas cannot meet the criterion of the
greatest population size.
Hereinafter, a further analysis is performed to evaluate the proposed locations
whether they are robust to weights changes that might occur or not. By
superimposing the suitability surface to three new layers from different
perspectives, which their weights also calculated using RGMM, it affirms that
57.27% sites could maintain their best rank. It implies that 134 locations are robust
to weights changes. In addition, integrated uncertainty and sensitivity analysis
proves that the chosen locations pose a low uncertainty and a tiny percentage of
output variance coming from independent inputs. Then, the opted sites are worth to
propose to be the cross-docking facility. |
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