New Model for Material Transportation to Improve Efficiency of Production Line
International Journal of Science and Qualitative Analysis
Volume 4, Issue 2, June 2018, Pages: 60-64
Received: Apr. 25, 2018;
Accepted: May 14, 2018;
Published: May 29, 2018
Views 1331 Downloads 59
Mervat Badr, Mechanical Engineering, Engineering Department, National Research Centre, Cairo, Egypt
Mahmoud Mohamed Ahmed Sayed, Mechanical Engineering, Engineering Department, Canadian International College, Cairo, Egypt
Abd El Rohman Aref, Mechanical Engineering, Engineering Department, Canadian International College, Cairo, Egypt
Abdallah Salah, Mechanical Engineering, Engineering Department, Canadian International College, Cairo, Egypt
Follow on us
The objective of this study is to achieve higher efficiency in production operation through improving the material handling to minimize wastes represented in delivery delay or work in process (WIP) inventory. It is suggested that material is transferred from the warehouse using a tug train system. Advanced tools are required in collecting data of the station inputs to construct an optimum schedule for the train. A new model for material transportation that applies "shortest processing time" (SPT) sequencing rule is proposed. A simulation model was developed; using programming language designed for Simul8 software, for the sake of validating the proposed transportation model. The number of bins delivered to each working station is limited by the demand of each station and its maximum side line inventory. The simulation model is applied on a case study, washing machine production line of "Electrolux" factory in Egypt. The results of the simulation model are found to be similar to the results obtained from the transportation model that was applied using SPT sequencing rule. This work is applied only on the inputs to the stations.
Material Flow, Mixed-Line Production, Simulation, Tug Train
To cite this article
Mahmoud Mohamed Ahmed Sayed,
Abd El Rohman Aref,
New Model for Material Transportation to Improve Efficiency of Production Line, International Journal of Science and Qualitative Analysis.
Vol. 4, No. 2,
2018, pp. 60-64.
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Lorenzo Tiacci, "Event and object oriented simulation to fast evaluate operational objectives of mixed model assembly lines problems", Simulation Modeling Practice and Theory 24 (2012) 35–48
Hsiang-Hsi Huang, Wen Pei, Horng-Huei Wu, Ming-Der May, "A research on problems of mixed-line production and the rescheduling", Robotics and Computer-Integrated Manufacturing 29 (2013) 64–72
Simon Emde Nils Boysen, "Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines", Int. J. Production Economics 135 (2012) 393–402
Simon Emde, Nils Boysen, "Optimally routing and scheduling tow trains for JIT-supply of mixed-model assembly lines", European Journal of Operational Research 217 (2012) 287–299
Mohammed Alnahhal, Bernd Noche, "Dynamic material flow control in mixed model assembly lines", Computers & Industrial Engineering 85 (2015) 110–119.
Oliver Goulda, Alessandro Simeone, James Colwill, Roy Willeyb, Shahin Rahimifarda, “A material flow modeling tool for resource efficient production planning in multi-product manufacturing systems”. Procedia CIRP 41 (2016) 21 – 26.
Chi-Shuan Liua, Luo-Yan Lina, Ming-Chih Chenb, Horng-Chyi Hornga, “A New Performance Indicator of Material Flow for Production Systems”. Procedia Manufacturing 11 (2017) 1774 – 1781
Hsiang-Hsi Huang, Wen Pei, Horng-Huei Wu, Ming-Der May, “A research on problems of mixed-line production and the re-scheduling”. Robotics and Computer-Integrated Manufacturing 29 (2013) 64–72
Betul Yagmahan, “Mixed-model assembly line balancing using a multi-objective ant colony optimization approach”. Expert Systems with Applications 38 (2011) 12453–12461
Prem Kumar Gupta, "operations research", S. Chand, 1999
R. Dan Reid, Nada R. Sanders, "Operations Management: An Integrated Approach", Fourth Edition, John Wiley & Sons, Inc., 2011.