Genetic Algorithm based Optimized Un-Interrupted Dispatching Schedule for Ready Mix Concrete truck with User friendly Interface on Single window (Single Plant Multi-sites)
Gaikwad A. K.1, S. B. Thakare2
1Mr. Gaikwad A. K1. Research Scholar, Department, DYPIT, Pimpri, Civil Engineering, Associate Professor, PCCOE, Pune.
2Dr. S. B. Thakare, Professor, Department, Civil Engineering DYPIT, Pimpri, Principal, APCOE, Pune.
Manuscript received on 02 March 2019 | Revised Manuscript received on 09 March 2019 | Manuscript published on 30 July 2019 | PP: 3276-3281 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2890078219/19©BEIESP | DOI: 10.35940/ijrte.B2890.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Delivering Ready Mixed Concrete (RMC) to construction sites is an important task for the RMC Batch Plant (BP) manager. The RMC BP manager has to prepare an efficient schedule of dispatching RMC trucks, which will optimize the operations at the construction sites and also at the batch plant. The existing dispatching schedule mainly depends on the experience of the dispatching manager and preferences from sites. The RMC plant manager dispatches more and more RMC trucks to the longer construction site which may results in the lineup of RMC trucks at one site and keeping other sites waiting for the arrivals of RMC trucks, this may leads to ‘interruption’. In this model attempt is made to reduce the interruptions by giving scope to the BP manager to make changes in the SCT (Scheduled Casting Time) on single window called user friendly interface. A Genetic Algorithm User Interface (GAUI) model is developed in MATLAB environment to reduce waiting time of dispatching trucks. Result shows that GAUI model gives an un-interrupted dispatching schedule with reduced waiting time over the industry thumb rules results.
Key words: GA’s Applications, Un-Interrupted Dispatching, User Interfaced Optimization of RMC Truck Dispatching, Optimization of Dispatching Schedule.
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