LOCATION DETERMINATION OF THE PT. X WAREHOUSE USING ANALYTICAL HIERARCHY PROCESS (AHP)

ALIF LAILA HIKMAH, HANIF RIYADI, BASRI FAHRIZA, NURSERY ALFARIDI S. NASUTION

Abstract


Currently COVID-19 pandemic is a biggest issue in the world. Of course it has an impact on the economics sector. X Company  is engineering, procurement, and construction company, in which fire protection is their main business sectors. PT. X has several hydrant installation projects work at one time. In the process of working, many materials are used together by each project. And it could be a cost efficiency opportunity, especially in supplying the materials needed by projects. The company has 3 hydrant installation jobs in Cibinong, Halim, Cakung areas. In order to survive during this COVID-19 pandemic, the company feels the need to implement effective logistics management by creating a centralized warehouse in order to make warehouse management effective and efficient.

The Analytic Hierarchy Process (AHP) is a mathematical technique for multi-criteria decision making developed by Saaty. The research objectives in writing this paper were chosen based on 3 factors, namely infrastructure, government and market.  Furthermore, this research is expected to help in determining the location of PT. Material X warehouse uses the Analytic Hierarchy Process method with alternatives in Cibinong, Halim and Cakung as well as infrastructure, government and market selection criteria

Keywords


COVID-19, Effective Logistics Management, Analytic Hierarchy Process (AHP), Infrastructure, Government and Market

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References


Ashrafzadeh, M. (2012). The Application of Fuzzy Analytic Hierarchy Process Approach for the Selection of Warehouse Location : A Case Study. 3(4), 112–125.

Caunhye, A. M., Nie, X., & Pokharel, S. (2012). Socio-Economic Planning Sciences Optimization models in emergency logistics : A literature review. Socio-Economic Planning Sciences, 46(1), 4–13. https://doi.org/10.1016/j.seps.2011.04.004

Colson, G., & Dorigo, F. (2004). A public warehouses selection support system. 153, 332–349. https://doi.org/10.1016/S0377-2217(03)00156-5

Demirel, T., Çetin, N., & Kahraman, C. (2010). Expert Systems with Applications Multi-criteria warehouse location selection using Choquet integral. Expert Systems With Applications, 37(5), 3943–3952. https://doi.org/10.1016/j.eswa.2009.11.022

Dyah, R., Husodo, Z. A., & Suardi, L. (2014). International Journal of Disaster Risk Reduction Developing a resilience index towards natural disasters in Indonesia. International Journal of Disaster Risk Reduction, 10, 327–340. https://doi.org/10.1016/j.ijdrr.2014.10.007

Isbaniah, F. (2020). Pedoman Pencegahan dan Pengendalian Coronavirus Disease (COVID-19). Germas, 0–115. https://infeksiemerging.kemkes.go.id/download/REV-04_Pedoman_P2_COVID-19__27_Maret2020_TTD1.pdf [Diakses 11 Juni 2021].

MacCarthy, B. L., & Atthirawong, W. (2003). Factors affecting location decisions in international operations - A Delphi study. In International Journal of Operations and Production Management (Vol. 23, Issues 7–8). https://doi.org/10.1108/01443570310481568

Michel, L., & Van Hentenryck, P. (2004). A simple tabu search for warehouse location. European Journal of Operational Research, 157(3), 576–591. https://doi.org/10.1016/S0377-2217(03)00247-9

Min, H., & Melachrinoudis, E. (1999). The relocation of a hybrid manufacturing/distribution facility from supply chain perspectives: A case study. Omega, 27(1), 75–85. https://doi.org/10.1016/S0305-0483(98)00036-X

Mishra, N., Kumar, V., Kumar, N., Kumar, M., & Tiwari, M. K. (2011). Addressing lot sizing and warehousing scheduling problem in manufacturing environment. Expert Systems with Applications, 38(9), 11751–11762. https://doi.org/10.1016/j.eswa.2011.03.062

Moe, T. L., & Pathranarakul, P. (2006). An integrated approach to natural disaster management Public project management and its critical. https://doi.org/10.1108/09653560610669882

Onitoramento, M., Aça, C. R. E. C., Açu, D. E. J., & Silveira, R. Da. (2001). M , c c - ( m ) - ( c ). 102(96), 35–37.

Özcan, T., Elebi, N., & Esnaf, A. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773–9779. https://doi.org/10.1016/j.eswa.2011.02.022

Partovi, F. Y. (2006). An analytic model for locating facilities strategically. Omega, 34(1), 41–55. https://doi.org/10.1016/j.omega.2004.07.018

Roh, S., Pettit, S., Harris, I., & Beresford, A. (2015). The pre-positioning of warehouses at regional and local levels for a humanitarian relief organisation. International Journal of Production Economics, 170, 616–628. https://doi.org/10.1016/j.ijpe.2015.01.015

Saaty, R. W. (1987). The analytic hierarchy process-what it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8

Sharma, R. R. K., & Berry, V. (2006). Developing new formulations and relaxations of single stage capacitated warehouse location problem (SSCWLP): Empirical investigation for assessing relative strengths and computational effort. European Journal of Operational Research, 177(2), 803–812. https://doi.org/10.1016/j.ejor.2005.11.028

Singh, R. K., Chaudhary, N., & Saxena, N. (2018). Selection of warehouse location for a global supply chain: A case study. IIMB Management Review, 30(4), 343–356. https://doi.org/10.1016/j.iimb.2018.08.009

Tzeng, G. H., & Chen, Y. W. (1999). The optimal location of airport fire stations: A fuzzy multi-objective programming and revised genetic algorithm approach. Transportation Planning and Technology, 23(1), 37–55. https://doi.org/10.1080/03081069908717638




DOI: https://doi.org/10.25292/atlr.v4i0.443

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