loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mohamed Mamdouh Yusuf 1 ; Ahmed Karam 2 and Amr B. 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 and Egypt ; 2 Mechanical Engineering Department, Faculty of Engineering at Shoubra, Benha University, 108, Cairo and Egypt

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

Related Ontology Subjects/Areas/Topics: Agents ; Applications ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Methodologies and Technologies ; Operational Research ; Pattern Recognition ; Risk Management ; Scheduling ; Simulation ; Software Engineering ; Software Project Management ; Stochastic Optimization ; Supply Chain Management

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 produc ed 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)

CC BY-NC-ND 4.0

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 44.204.34.64

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 - ICORES; ISBN 978-989-758-352-0; ISSN 2184-4372, SciTePress, 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 - ICORES},
year={2019},
pages={330-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007373303300337},
isbn={978-989-758-352-0},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - ICORES
TI - A Simulation based Optimization Study for Optimum Sequencing of Precast Components Considering Supply Chain Risks
SN - 978-989-758-352-0
IS - 2184-4372
AU - Yusuf, M.
AU - Karam, A.
AU - Eltawil, A.
PY - 2019
SP - 330
EP - 337
DO - 10.5220/0007373303300337
PB - SciTePress