Model Simulasi Risiko Rantai Pasok Material Proyek Konstruksi Gedung

Delays related to materials are one of main problems of construction project. An effective supply chain management has a significant role in preventing this type of delay. The aim of this research is develop risk simulation model of construction supply chain in buildings. The materials include steel...

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Main Authors: Jati Utomo Dwi Hatmoko, Frida Kistiani
Format: Article
Language:English
Published: Universitas Diponegoro 2017-07-01
Series:Media Komunikasi Teknik Sipil
Subjects:
Online Access:http://ejournal.undip.ac.id/index.php/mkts/article/view/14697
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spelling doaj-fb30c1cc5f8b4c56be49a716e12e4f8a2020-11-24T23:19:40ZengUniversitas DiponegoroMedia Komunikasi Teknik Sipil0854-18092549-67782017-07-0123111310.14710/mkts.v23i1.1469711828Model Simulasi Risiko Rantai Pasok Material Proyek Konstruksi GedungJati Utomo Dwi Hatmoko0Frida Kistiani1Department of Civil Engineering, Dionegoro UniversityDepartment of Civil Engineering, Diponegoro UniversityDelays related to materials are one of main problems of construction project. An effective supply chain management has a significant role in preventing this type of delay. The aim of this research is develop risk simulation model of construction supply chain in buildings. The materials include steel bars, steel profiles, formwork, and precast concrete, as they are considered the main building material. The supply chain risks are classified from supply, control, process, and demand sides. Monte Carlo simulation has been performed using Cristal Ball software. Risk identification was done through literature review, site observation, and interviews with 29 contractor personnel  working for nine building projects. The simulation results show that the minimum, maximum, and most frequent delays (in days), as follows: steel bars (2.20. 17.05, 11.24); steel profiles (2.12, 15.10, 9.75), formwork (1.79, 16.04, 10.45), precast concrete (1.76, 15.61, 10.24).  The sensitivity analysis shows that delay due to change order from client is the most sensitive for  steel bars, steel profiles, and formwork of 25.5%, 37.4%, dan 17%, respectively. The results of this research is useful for contractors and owners who can use them as a guidance in identifying, predicting, and mitigating supply chain risks for a successful project.http://ejournal.undip.ac.id/index.php/mkts/article/view/14697Construction supply chain, risks, construction materials, Monte Carlo simulation
collection DOAJ
language English
format Article
sources DOAJ
author Jati Utomo Dwi Hatmoko
Frida Kistiani
spellingShingle Jati Utomo Dwi Hatmoko
Frida Kistiani
Model Simulasi Risiko Rantai Pasok Material Proyek Konstruksi Gedung
Media Komunikasi Teknik Sipil
Construction supply chain, risks, construction materials, Monte Carlo simulation
author_facet Jati Utomo Dwi Hatmoko
Frida Kistiani
author_sort Jati Utomo Dwi Hatmoko
title Model Simulasi Risiko Rantai Pasok Material Proyek Konstruksi Gedung
title_short Model Simulasi Risiko Rantai Pasok Material Proyek Konstruksi Gedung
title_full Model Simulasi Risiko Rantai Pasok Material Proyek Konstruksi Gedung
title_fullStr Model Simulasi Risiko Rantai Pasok Material Proyek Konstruksi Gedung
title_full_unstemmed Model Simulasi Risiko Rantai Pasok Material Proyek Konstruksi Gedung
title_sort model simulasi risiko rantai pasok material proyek konstruksi gedung
publisher Universitas Diponegoro
series Media Komunikasi Teknik Sipil
issn 0854-1809
2549-6778
publishDate 2017-07-01
description Delays related to materials are one of main problems of construction project. An effective supply chain management has a significant role in preventing this type of delay. The aim of this research is develop risk simulation model of construction supply chain in buildings. The materials include steel bars, steel profiles, formwork, and precast concrete, as they are considered the main building material. The supply chain risks are classified from supply, control, process, and demand sides. Monte Carlo simulation has been performed using Cristal Ball software. Risk identification was done through literature review, site observation, and interviews with 29 contractor personnel  working for nine building projects. The simulation results show that the minimum, maximum, and most frequent delays (in days), as follows: steel bars (2.20. 17.05, 11.24); steel profiles (2.12, 15.10, 9.75), formwork (1.79, 16.04, 10.45), precast concrete (1.76, 15.61, 10.24).  The sensitivity analysis shows that delay due to change order from client is the most sensitive for  steel bars, steel profiles, and formwork of 25.5%, 37.4%, dan 17%, respectively. The results of this research is useful for contractors and owners who can use them as a guidance in identifying, predicting, and mitigating supply chain risks for a successful project.
topic Construction supply chain, risks, construction materials, Monte Carlo simulation
url http://ejournal.undip.ac.id/index.php/mkts/article/view/14697
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