Open AccessGenetic Algorithm based Optimized Un-Interrupted Dispatching Schedule for Ready Mix Concrete truck with User friendly Interface on Single window (Single Plant Multi-sites)
Author(s) -
Mr. Gaikwad A. K,
S. B. Thakare
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b2890.078219
Subject(s) - truck , schedule , interface (matter) , computer science , window (computing) , task (project management) , genetic algorithm , real time computing , operations research , engineering , operating system , automotive engineering , systems engineering , bubble , maximum bubble pressure method , machine learning
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 uninterrupted dispatching schedule with reduced waiting time over the industry thumb rules results