Application of Production Scheduling Techniques for Dispatching Ready-mixed Concrete
Nowadays, the ready-mixed concrete (RMC) industry plays an important role in construction projects, since it has become one of the mechanisms in construction works and it has become more widely used than in the past. Increasing efficiency is focused on in order to be competitive in business. The...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2016-12-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | http://ijtech.eng.ui.ac.id/article/view/300 |
| Summary: | Nowadays, the ready-mixed concrete (RMC)
industry plays an important role in construction projects, since it has become
one of the mechanisms in construction works and it has become more widely used
than in the past. Increasing efficiency is focused on in order to be
competitive in business. Therefore, this study aims to increase efficiency of
the delivery management system by using the modeling of production planning and
management of daily scheduling and dispatching of ready-mixed concrete trucks
in order to solve the bottleneck problems of production, which are consequently
affecting the RMC delivery process .In fact, the capacity of ready-mixed
concrete machines seems to be a limitation, since concrete can only be mixed
and then delivered in batches, one vehicle at a time. Earliest Due Date (EDD)
and First-Come, First-Served (FCFS) are two techniques of priority rules used
for RMC scheduling in providing more precision and accuracy of related inputs
which can be used in order improve efficiency of the entire RMC process. In the
model, factors affecting the RMC delivery process, such as distances, travel
speed and travel times are determined by using GIS–Geographic Information
Systems software (ArcGIS). The mapping data is also input into the construction
site data, which then builds a model based on priority rules to determine the
production and dispatching schedule. Preliminary results from the model
indicated that delivery delays can be reduced, in addition to improving daily
scheduling and reducing planning time. Moreover, the Single Machine-Multiple
Sites model was applied to a concrete truck freight management company that had
only one manufacturing machine and it had to deliver to several construction
sites in various urban areas. By improving efficiency, by optimizing delivery
times and by reducing the cost of waiting time at various sites, this PDRMC
model could cut operating costs and increase the company’s revenue because
there will be time for more orders. |
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| ISSN: | 2086-9614 2087-2100 |