Materials Delivery Optimization for a Construction Company using Linear Programming and Anylogistix Software
Authors: 
Clarinda Joanne Ellorin Igros, Anak Agung Ngurah Perwira Redi, Josephine D. GermanAuthors Info & Claims
Pages 178 - 184
Abstract
Supply chain coordination and planning safeguards the competitiveness of an organization. Essential drivers such as Inventory, Transportation, Facilities, and Information identify essential aspects to balance cost and efficiency. In the construction industry, transportation plans and storage layouts must be scientifically arranged to avoid undesirable delays in the construction schedule. Thus, designing an optimal logistics system ensures efficiency and effectiveness of construction resources. The objective of the study is to get the minimum delivery cost to supply two different types of wires to different projects based on the carrying capacity, cost of the supplies, storage cost, and transportation cost of different suppliers. Two approaches are utilized to verify the objective function of the study. Linear programming and Anylogistix software are used to compute the optimal delivery cost of the subject construction company. Both methodologies emphasized that determining the highest cost driver will effectively lower the delivery charges which will essentially reduce the overall construction rates.
References
[1]
J. van der Vorst, “Supply Chain Management: Theory and Practices”, 2004. [Online]. Available: https://www.researchgate.net/publication/40122004
[2]
D. P. S, M. A. B, and C. S. A, “Supply Chain Management in Residential Construction Sector,” 2014.
[3]
M. Aneesa, A.K. Gupta, and D.B. Desai, “Supply Chain Management: Effective Tool in Construction Industry”, International Journal of Novel Research in Engineering and Science, vol. 2,issue 1, pp. 35-40, 2015.
[4]
T. Oladinrin, D. Ogunsemi, and I. Aje, “Role of Construction Sector in Economic Growth: Empirical Evidence from Nigeria,” FUTY Journal of the Environment, vol. 7, no. 1, Oct. 2012.
[5]
W. S. Alaloul, M. A. Musarat, M. B. A. Rabbani, Q. Iqbal, A. Maqsoom, and W. Farooq, “Construction sector contribution to economic stability: Malaysian GDP distribution,” Sustainability (Switzerland), vol. 13, no. 9, May 2021.
[6]
McKinsey Global Institute, “Reinventing Construction: A Route to Higher Productivity”, 2017. [Online] Available: https://www.mckinsey.com/capabilities/operations/our-insights/reinventing-construction-through-a-productivity-revolution
[7]
P. Country Brochure, “The Philippines-Pearl of the Orient: ASEAN's Emerging Hotspot Content.”
[8]
S. Nosratabadi, A. Mosavi, S. Shamshirband, E. K. Zavadskas, A. Rakotonirainy, and K. W. Chau, “Sustainable business models: A review,” Sustainability (Switzerland), vol. 11, no. 6. MDPI, 2019.
[9]
M. Gloria, V. Talavera, and C. E. A. Virata, “Supply Chain Collaboration and Trust in the Philippines,” Operations and Supply Chain Management, vol. 7, no. 1, pp. 1–12, 2014.
[10]
P. C. Nolz, “Optimizing construction schedules and material deliveries in city logistics: a case study from the building industry,” Flex Serv Manuf J, vol. 33, no. 3, pp. 846–878, Sep. 2021.
[11]
J. B. H. Yap, P. L. Goay, Y. B. Woon, and M. Skitmore, “Revisiting critical delay factors for construction: Analysing projects in Malaysia,” Alexandria Engineering Journal, vol. 60, no. 1, pp. 1717–1729, Feb. 2021.
[12]
M. Gloria and V. Talavera, “Supply Chain Integration and Performance: Revisiting the Philippine Experience,” 2017. [Online]. Available: https://www.researchgate.net/publication/343609489
[13]
“Supply Chain Productivity In Construction.” [Online]. Available: https://cscmp.org/CSCMP/Educate/SCM_Definitions_and_Glossary_of_Terms.aspx
[14]
S. Hasim, M. A. Fauzi, Z. Yusof, I. R. Endut, and A. R. M. Ridzuan, “The material supply chain management in a construction project: A current scenario in the procurement process,” in AIP Conference Proceedings, American Institute of Physics Inc., Oct. 2018.
[15]
G. A. Papadopoulos, N. Zamer, S. P. Gayialis, and I. P. Tatsiopoulos, “Supply Chain Improvement in Construction Industry,” Universal Journal of Management, vol. 4, no. 10, pp. 528–534, Oct. 2016.
[16]
P. Jaskowski, A. Sobotka, and A. Czarnigowska, “Tiekimo šaltinių pasirinkimo modelis tiesiant kelius,” Engineering Economics, vol. 25, no. 1, pp. 13–20, 2014.
[17]
B. Brunaud, J. M. Laínez-Aguirre, J. M. Pinto, and I. E. Grossmann, “Inventory Policies and Safety Stock Optimization for Supply Chain Planning,” 2018.
[18]
L. Rzepecki, “Optimization of inventory costs management in the construction enterprise,” in IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing, Sep. 2019.
[19]
G. Rajeshkumar, M. Vinoth Kumar, K. Sailaja Kumar, S. Bhatia, A. Mashat, and P. Dadheech, “An Improved Multi-Objective Particle Swarm Optimization Routing on MANET,” Computer Systems Science and Engineering, vol. 44, no. 2, pp. 1187–1200, 2023.
[20]
M. Mratsenkova, K. Vasileva, and M. Eng, “Application of Anylogistix in transport chain management,” Proceedings of university of ruse, vol. 59, pp. 28–32, 2020.
[21]
L. R. Dos Santos Hermogenes, “E-commerce Supply Chain analysis using the ANYLOGISTIX computational tool,” in Procedia Computer Science, Elsevier B.V., 2022, pp. 487–494.
[22]
D. Liu, X. Li, J. Chen, and R. Jin, “Real-Time Optimization of Precast Concrete Component Transportation and Storage,” Advances in Civil Engineering, vol. 2020, 2020.
[23]
N. Supattananon and R. Akararungruangkul, “Modified differential evolution algorithm for a transportation software application,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 5, no. 4, 2019.
[24]
M. Mratsenkova, K. Vasileva, and M. Eng, “Application of Anylogistix in transport chain management,” Proceedings of university of ruse, vol. 59, pp. 28–32, 2020.
[25]
M. A. Rodriguez and A. Vecchietti, “Inventory and delivery optimization under seasonal demand in the supply chain,” Comput Chem Eng, vol. 34, no. 10, pp. 1705–1718, Oct. 2010.
[26]
P. C. Nolz, “Optimizing construction schedules and material deliveries in city logistics: a case study from the building industry,” Flex Serv Manuf J, vol. 33, no. 3, pp. 846–878, Sep. 2021.
Index Terms
- Materials Delivery Optimization for a Construction Company using Linear Programming and Anylogistix Software
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Published In
January 2024
235 pages
ISBN:9798400716652
DOI:10.1145/3647782
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Published: 06 May 2024
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ICCMB 2024
ICCMB 2024: 2024 7th International Conference on Computers in Management and Business
January 12 - 14, 2024
Singapore, Singapore
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