Clarinda Joanne Ellorin Igros
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.
- J. van der Vorst, “Supply Chain Management: Theory and Practices”, 2004. [Online]. Available: https://www.researchgate.net/publication/40122004Google Scholar
- D. P. S, M. A. B, and C. S. A, “Supply Chain Management in Residential Construction Sector,” 2014.Google Scholar
- 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.Google Scholar
- 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, doi: 10.4314/fje.v7i1.4.Google ScholarCross Ref
- 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, doi: 10.3390/su13095012.Google ScholarCross Ref
- 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-revolutionGoogle Scholar
- P. Country Brochure, “The Philippines-Pearl of the Orient: ASEAN's Emerging Hotspot Content.”Google Scholar
- 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. doi: 10.3390/su11061663.Google ScholarCross Ref
- 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.Google Scholar
- 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, doi: 10.1007/s10696-020-09391-7.Google ScholarCross Ref
- 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, doi: 10.1016/j.aej.2020.11.021.Google ScholarCross Ref
- M. Gloria and V. Talavera, “Supply Chain Integration and Performance: Revisiting the Philippine Experience,” 2017. [Online]. Available: https://www.researchgate.net/publication/343609489Google Scholar
- “Supply Chain Productivity In Construction.” [Online]. Available: https://cscmp.org/CSCMP/Educate/SCM_Definitions_and_Glossary_of_Terms.aspxGoogle Scholar
- 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. doi: 10.1063/1.5062675.Google ScholarCross Ref
- 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, doi: 10.13189/ujm.2016.041002.Google ScholarCross Ref
- P. Jaskowski, A. Sobotka, and A. Czarnigowska, “Tiekimo šaltinių pasirinkimo modelis tiesiant kelius,” Engineering Economics, vol. 25, no. 1, pp. 13–20, 2014, doi: 10.5755/j01.ee.25.1.3595.Google ScholarCross Ref
- B. Brunaud, J. M. Laínez-Aguirre, J. M. Pinto, and I. E. Grossmann, “Inventory Policies and Safety Stock Optimization for Supply Chain Planning,” 2018.Google Scholar
- 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. doi: 10.1088/1757-899X/603/3/032046.Google ScholarCross Ref
- 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, doi: 10.32604/csse.2023.026137.Google ScholarCross Ref
- 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.Google Scholar
- 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. doi: 10.1016/j.procs.2022.11.203.Google ScholarDigital Library
- 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, doi: 10.1155/2020/5714910.Google ScholarCross Ref
- 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, doi: 10.3390/joitmc5040084.Google ScholarCross Ref
- 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.Google Scholar
- 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, doi: 10.1016/J.COMPCHEMENG.2010.02.009.Google ScholarCross Ref
- 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, doi: 10.1007/s10696-020-09391-7.Google ScholarCross Ref
Index Terms
- Materials Delivery Optimization for a Construction Company using Linear Programming and Anylogistix Software
Recommendations
Modeling Inventory System of Perishable Products under Supply Chain Environment
ICMECG '09: Proceedings of the 2009 International Conference on Management of e-Commerce and e-GovernmentAlthough there are a large number of researches on inventory control of supply chain, the majority of the literatures did not take account of product’s deterioration while studying inventory system of multi-stage supply chain. On basis of the previous ...
Modeling and optimizing of variance amplification in supply chain using response surface methodology
Highlights- We propose an optimization approach integrates simulation, RSM and gradient search.
AbstractSupply chains experience variance amplification in replenishment orders and inventory levels, leading to severe inefficiencies. Extensive studies are conducted while focusing mainly on the demand variance amplification (also known as ...
Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals
Major challenges in the management of the blood supply chain are related to the shortage and wastage of the blood products. Given the perishable characteristics of this product, storing an excessive number of blood units on inventory could result on the ...
Comments