loading
Documents

Research.Publish.Connect.

Paper

Authors: Mohamed Yusuf 1 ; Ahmed Karam 2 and Amr Eltawil 1

Affiliations: 1 Industrial Engineering and Systems Management, Egypt-Japan University of Science and Technology (E-JUST), POBox 179, New Borg Elarab City, Alexandria 21934, Egypt ; 2 Mechanical Engineering Department, Faculty of Engineering at Shoubra, Benha University, 108, Cairo, Egypt

ISBN: 978-989-758-352-0

Keyword(s): Precast Supply Chain, Risk Management, Discrete Event Simulation, Flow Shop Sequencing, Stochastic Optimization.

Abstract: Unquestionably, Precast Supply Chain (PSC) abounds with many risks distributed along its echelons. Despite that there is a wide consensus among the previous studies about the negative impact of these risks on the PSC performance, its effect on making operational decisions in precast plants such as scheduling of Precast Components (PCs) is still ambiguous. So, this study aims at exploring and quantifying the effect of considering PSC risks on the optimum PCs sequences. To accomplish this, different processes of the PSC with their associated risks are modelled via a discrete event simulation model. Then, the developed simulation model is linked with an optimizer to generate PCs sequences that achieve on-time delivery of PCs with minimum production costs. This optimization process is conducted twice, with and without considering supply chain risks. Interestingly, the optimum PCs sequences generated in both cases are totally different. More importantly, the optimized PCs sequences produce d without considering risks may backfire and cause higher production and penalty costs if they are applied to a PSC exposed to risk. So, investing in making a reliable risk management plan of the PSC not only can cushion the risks impact but also can lead to better sequences of PCs. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.84.139.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Yusuf, M.; Karam, A. and Eltawil, A. (2019). A Simulation based Optimization Study for Optimum Sequencing of Precast Components Considering Supply Chain Risks.In Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-352-0, pages 330-337. DOI: 10.5220/0007373303300337

@conference{icores19,
author={Mohamed Mamdouh Yusuf. and Ahmed Karam. and Amr B. Eltawil.},
title={A Simulation based Optimization Study for Optimum Sequencing of Precast Components Considering Supply Chain Risks},
booktitle={Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2019},
pages={330-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007373303300337},
isbn={978-989-758-352-0},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - A Simulation based Optimization Study for Optimum Sequencing of Precast Components Considering Supply Chain Risks
SN - 978-989-758-352-0
AU - Yusuf, M.
AU - Karam, A.
AU - Eltawil, A.
PY - 2019
SP - 330
EP - 337
DO - 10.5220/0007373303300337

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.