Abstract
References
- Cheng, Y. M. (2014). An exploration into cost-influencing factors on construction projects. International Journal of Project Management, 32(5), 850-860 Choudhari, S., & Tindwani, A. (2017). Logistics optimisation in road construction project. Construction Innovation, 17(2), 158-179. De Lima, R., Júnior, E., Prata, B. and Weissmann, J. (2013), “Distribution of materials in road earthmoving and paving: mathematical programming approach”, Journal of Construction Engineering and Management, Vol. 139 No. 8, pp. 1046-1054. Easa, S. (1988), “Earthwork allocations with linear unit costs”, Journal of Construction Engineering and Management, Vol. 114 No. 4, pp. 641-655. Hazır, Ö. (2015). A review of analytical models, approaches and decision support tools in project monitoring and control. International Journal of Project Management, 33(4), 808-815. Koo, K. J., & Park, S. C. (2011). GA-based fuel-efficient transfer path selection model for delivering construction materials. Journal of Construction Engineering and Management, 138(6), 725-732. Said, H., & El-Rayes, K. (2010). Optimizing material procurement and storage on construction sites. Journal of Construction Engineering and Management, 137(6), 421-431. Salem, O., Shahin, A., & Khalifa, Y. (2007). Minimizing cutting wastes of reinforcement steel bars using genetic algorithms and integer programming models. Journal of Construction Engineering and Management, 133(12), 982-992. Son, J., Mattila, K. and Myers, D. (2005), “Determination of haul distance and direction in mass excavation”, Journal of Construction Engineering and Management, Vol. 131 No. 3, pp. 302-309. Voordijk, H. (2000). The changing logistical system of the building materials supply chain. International journal of operations & production management, 20(7), 823-841.
Abstract
Road construction
all over the world especially in the developing countries is considered to be
one of the most important projects for a country. As important as they might be
it becomes more important to execute them with utmost care as to optimize the
logistics and minimizing the waste to optimize the cost and ultimately planning
in such a way to maximize the productivity of the construction team which
depends mainly upon different aspects relating to materials access to the
workers on site, cost of them, choice of materials etc.
Logistics
optimization is one of the major factors for successful delivery of road
construction projects. Logistics comprises the flow of information and
material, optimization can be achieved through effective planning in terms of
material planning, material delivery, material management and material
handling. This research paper is aimed at studying the importance of material
in logistic process of road construction projects in Pakistan. The study may be
applicable to any developing or developed country as the logistics optimization
for road construction remains same.
A case study
approach is taken to study two major road construction firms operating in Pakistan,
the data is collected through observation and semi structured interviews of
project managers, directors and on site managers. The in depth analysis
presented with critical aspects of material management, as per MATRACON Pvt ltd
and Marksons Pakistan. A comparative analysis provided us with a lot of components
which are important for logistics optimization out of which this research
focuses on the most important factor which is Material optimization in
Logistics.
References
- Cheng, Y. M. (2014). An exploration into cost-influencing factors on construction projects. International Journal of Project Management, 32(5), 850-860 Choudhari, S., & Tindwani, A. (2017). Logistics optimisation in road construction project. Construction Innovation, 17(2), 158-179. De Lima, R., Júnior, E., Prata, B. and Weissmann, J. (2013), “Distribution of materials in road earthmoving and paving: mathematical programming approach”, Journal of Construction Engineering and Management, Vol. 139 No. 8, pp. 1046-1054. Easa, S. (1988), “Earthwork allocations with linear unit costs”, Journal of Construction Engineering and Management, Vol. 114 No. 4, pp. 641-655. Hazır, Ö. (2015). A review of analytical models, approaches and decision support tools in project monitoring and control. International Journal of Project Management, 33(4), 808-815. Koo, K. J., & Park, S. C. (2011). GA-based fuel-efficient transfer path selection model for delivering construction materials. Journal of Construction Engineering and Management, 138(6), 725-732. Said, H., & El-Rayes, K. (2010). Optimizing material procurement and storage on construction sites. Journal of Construction Engineering and Management, 137(6), 421-431. Salem, O., Shahin, A., & Khalifa, Y. (2007). Minimizing cutting wastes of reinforcement steel bars using genetic algorithms and integer programming models. Journal of Construction Engineering and Management, 133(12), 982-992. Son, J., Mattila, K. and Myers, D. (2005), “Determination of haul distance and direction in mass excavation”, Journal of Construction Engineering and Management, Vol. 131 No. 3, pp. 302-309. Voordijk, H. (2000). The changing logistical system of the building materials supply chain. International journal of operations & production management, 20(7), 823-841.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | January 14, 2020 |
| Submission Date | October 30, 2019 |
| Published in Issue | Year 2019Volume: 5 Issue: 15 |
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