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Cost Based Value Stream Mapping as a Sustainable Construction Tool for Underground Pipeline Construction Projects

Author

Listed:
  • Murat Gunduz

    (Department of Civil Engineering, Qatar University, P.O. Box: 2713 Doha, Qatar)

  • Ayman Fahmi Naser

    (Department of Civil Engineering, Qatar University, P.O. Box: 2713 Doha, Qatar)

Abstract

This paper deals with application of Value Stream Mapping (VSM) as a sustainable construction tool on a real construction project of installation of underground pipelines. VSM was adapted to reduce the high percentage of non-value-added activities and time wastes during each construction stage and the paper searched for an effective way to consider the cost for studied construction of underground pipeline. This paper is unique in its way that it adopts cost implementation of VSM to improve the productivity in underground pipeline projects. The data was observed and collected from site during construction, indicating the cycle time, value added and non-value added of each construction stage. The current state was built based on these details. This was an eye-opening exercise and a process management tool as a trigger for improvement. After the current state assessment, a future state is attempted by Value Stream Mapping tool balancing the resources using a Line of Balance (LOB) technique. Moreover, a sustainable cost estimation model was developed during current state and future state to calculate the cost of underground pipeline construction. The result shows a cost reduction of 20.8% between current and future states. This reflects the importance of the cost based Value Stream Mapping in construction as a sustainable measurement tool. This new tool could be utilized in construction industry to add the sustainability and effective cost management.

Suggested Citation

  • Murat Gunduz & Ayman Fahmi Naser, 2017. "Cost Based Value Stream Mapping as a Sustainable Construction Tool for Underground Pipeline Construction Projects," Sustainability, MDPI, vol. 9(12), pages 1-20, November.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2184-:d:120498
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    References listed on IDEAS

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    1. Sungmin Yun & Wooyong Jung, 2017. "Benchmarking Sustainability Practices Use throughout Industrial Construction Project Delivery," Sustainability, MDPI, vol. 9(6), pages 1-20, June.
    2. WoonSeong Jeong & Soowon Chang & JeongWook Son & June-Seong Yi, 2016. "BIM-Integrated Construction Operation Simulation for Just-In-Time Production Management," Sustainability, MDPI, vol. 8(11), pages 1-25, October.
    3. Dongoun Lee & Seungho Kim & Sangyong Kim, 2016. "Development of Hybrid Model for Estimating Construction Waste for Multifamily Residential Buildings Using Artificial Neural Networks and Ant Colony Optimization," Sustainability, MDPI, vol. 8(9), pages 1-14, September.
    4. Tyagi, Satish & Choudhary, Alok & Cai, Xianming & Yang, Kai, 2015. "Value stream mapping to reduce the lead-time of a product development process," International Journal of Production Economics, Elsevier, vol. 160(C), pages 202-212.
    5. Adrieli Cristina Vieira De Carvalho & Ariovaldo Denis Granja & Vanessa Gomes Da Silva, 2017. "A Systematic Literature Review on Integrative Lean and Sustainability Synergies over a Building’s Lifecycle," Sustainability, MDPI, vol. 9(7), pages 1-18, July.
    6. Wenchi Shou & Jun Wang & Peng Wu & Xiangyu Wang & Heap-Yih Chong, 2017. "A cross-sector review on the use of value stream mapping," International Journal of Production Research, Taylor & Francis Journals, vol. 55(13), pages 3906-3928, July.
    7. Mahdi Sabaghi & Reza Rostamzadeh & Christian Mascle, 2015. "Kanban and value stream mapping analysis in lean manufacturing philosophy via simulation: a plastic fabrication (case study)," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 20(1), pages 118-140.
    8. Ting-Kwei Wang & Qian Zhang & Heap-Yih Chong & Xiangyu Wang, 2017. "Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)," Sustainability, MDPI, vol. 9(2), pages 1-26, February.
    9. Jia, Shun & Yuan, Qinghe & Lv, Jingxiang & Liu, Ying & Ren, Dawei & Zhang, Zhongwei, 2017. "Therblig-embedded value stream mapping method for lean energy machining," Energy, Elsevier, vol. 138(C), pages 1081-1098.
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    Cited by:

    1. Sasha Shahbazi & Martin Kurdve & Mats Zackrisson & Christina Jönsson & Anna Runa Kristinsdottir, 2019. "Comparison of Four Environmental Assessment Tools in Swedish Manufacturing: A Case Study," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    2. Edmundas Kazimieras Zavadskas & Jonas Šaparauskas & Jurgita Antucheviciene, 2018. "Sustainability in Construction Engineering," Sustainability, MDPI, vol. 10(7), pages 1-7, June.

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