Authors :
Solihin Purwantara; Mudjiarjo; Yana Tatiana
Volume/Issue :
Volume 10 - 2025, Issue 5 - May
Google Scholar :
https://tinyurl.com/mr4bm95m
Scribd :
https://tinyurl.com/2yfnrptd
DOI :
https://doi.org/10.38124/ijisrt/25may070
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Logistics is a system that requires coordination in maintaining a smooth supply chain and providing support to the industry, while the factors that affect this smooth running are the aspects of distance, time and cost. In addition, to support the implementation of logistics, it is necessary to optimize the location of facilities, in this case in the form of depots and garages in an area. One of the areas that has the potential to optimize the placement of the location is the Bekasi Regency Industrial Estate. This study aims to analyze the influence of the location of integrated depots on cost, distance and time with variations in the influence of several variables directly or indirectly. This study uses the weighting method to select the potential location (the location of the integrated depot) then the linear regression method to be able to identify the direct effect between related variables and for the indirect effect between certain variables, the path analysis method is used. Data collection is carried out by obtaining primary data in the form of observations and interviews with respondents and secondary data in the form of data obtained from related institutions, both the Government and Business Entities. The output of this study is the value of the direct influence of the integrated depot location variables on each variable (distance, time cost), distance and time on cost and the value of the indirect effect on the integrated depot location variable on costs through distance and time.
Keywords :
Location, Distance, Time, Cost, Depot, Container, Garage.
References :
- Government of the Republic of Indonesia. (2012). Presidential Regulation Number 26 of 2012 concerning the National Logistics System.
- Lena, D., & Catherine, B. (2023). Integrating micro depot freight transportation in existing public transportation services.
- Sharifah. (2021). The character of the east & west corridor of Jakarta as an industrial agglomeration area. Accessed from https://kfmap.asia/blog/karakter-koridor-timur-barat-jakarta-sebagai-wilayah-aglomerasi-industri/1689
- Veres, S., & Bányai, T. (2023). Multi-center distribution mode layout optimization. Advanced Logistics Systems: Theory and Practice, 17(1), 5–20. https://doi.org/10.3 2971/als.2023.001
- Adeleke, O. J., & Ali, H. (2020). An efficient model for locating solid waste collection locations in urban residential areas. International Journal of Production Research.
- Zheng, Z. (2021). Analysis of the location of parcel pick-up points in the metropolitan area of Guangzhou, China (Doctoral dissertation, University of Tsukuba).
- Nong, T. N.-M. (2021). Hybrid model for distribution center location selection. Asian Journal of Shipping and Logistics, 37(3), 197–208. https://doi.org/10.1016/j.ajsl. 2021.06.002
- Church, R., Scaparra, M.P., & Middleton, R.S. (2022). Site modeling for integrated freight transport systems: A review and direction of future research. Transportation Research Part B: Methodology, 156, 1–22.
- Tanaka, K. (2010). Efficiency of freight transportation and facility location optimization: A quantitative approach. Journal of Transportation Geography, 18(4), 567–578.
- Tavasszy, L.A., Behdani, B., & Konings, R. (2012). Intermodal transport network design and hub role: A case study for European networks. Transportation Research Part E: A Review of Logistics and Transportation, 48(4), 775–792.
- De Winter, S., Macharis, C., & Pekin, E. (2009). Framework for sustainable freight transportation planning: Balancing economic, environmental, and social aspects. European Journal of Transport and Infrastructure Research, 9(3), 257–274.
- Taherdoost, H. (2016). Validity and reliability of research instruments; How to test the validation of questionnaires/surveys in research. International Journal of Academic Research in Management, 5(3), 28–36. https://doi.org/10.2139/ssrn.3205040
- Mohamad, M. M., Sulaiman, N. L., Sern, L. C., & Salleh, K. M. (2015). Measure the validity and reliability of research instruments. Procedia - Social and Behavioral Sciences, 204, 164–171.
- Kennedy, I. (2022). Determination of sample size in the estimated reliability of test-retest and Cronbach alpha. British Journal of Contemporary Education, 2(1), 17–29.
- Sugiyono. (2014). Quantitative, qualitative, and R&D research methods. Alphabet.
- Rodrigue, J.-P., Comtois, C., & Slack, B. (2020). Geography of transportation systems (5th edition). Routledge.
- Ambrosino, G., Nelson, J.D., & Romanazzo, M. (2021). Demand-responsive transportation: A European perspective. Springer.
- Farahani, R.Z., SteadieSeifi, M., & Asgari, N. (2010). Models, solutions, and applications for supply chain network design: A review. Applied Mathematical Modeling, 34(7), 1689–1709.
- Ballou, R.H. (2004). Business logistics/supply chain management: Plan, organize, and control the supply chain (5th edition). Pearson Prentice Hall.
- Faturechi, R., & Miller-Hooks, E. (2014). Measuring the resilience of the transportation infrastructure system. Transportation Research Part A: Policy and Practice, 81, 35–50.
Logistics is a system that requires coordination in maintaining a smooth supply chain and providing support to the industry, while the factors that affect this smooth running are the aspects of distance, time and cost. In addition, to support the implementation of logistics, it is necessary to optimize the location of facilities, in this case in the form of depots and garages in an area. One of the areas that has the potential to optimize the placement of the location is the Bekasi Regency Industrial Estate. This study aims to analyze the influence of the location of integrated depots on cost, distance and time with variations in the influence of several variables directly or indirectly. This study uses the weighting method to select the potential location (the location of the integrated depot) then the linear regression method to be able to identify the direct effect between related variables and for the indirect effect between certain variables, the path analysis method is used. Data collection is carried out by obtaining primary data in the form of observations and interviews with respondents and secondary data in the form of data obtained from related institutions, both the Government and Business Entities. The output of this study is the value of the direct influence of the integrated depot location variables on each variable (distance, time cost), distance and time on cost and the value of the indirect effect on the integrated depot location variable on costs through distance and time.
Keywords :
Location, Distance, Time, Cost, Depot, Container, Garage.