ANALYTICAL HIERARCHY PROCESS AND TOPSIS APPROACH TO PERFORM SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY

Filscha Nurprihatin, Riki Antonius, Glisina Dwinoor Rembulan, Rafie Djajasoepena, Eko Sulistyo

Abstract


Suppliers play an important role as suppliers of production raw materials, making companies must choose suppliers correctly. This paper discusses the best supplier selection to avoid financial and non-financial losses This paper uses four criteria for determining the best supplier, such as price, lead time, payment terms, and quality & service. A reasonable price following initial planning is always expected by the customers. Lead time is an essential consideration to ensure on-time delivery. Failure to perform on-time delivery will direct in poor payment terms. Besides, any products that do not meet quality standards will always lead to waste. Analytical Hierarchy Process (AHP) and Technique Order Preference by Similarity to Ideal Solution (TOPSIS) are used to select and determine the best supplier for the company. Pairwise comparisons are performed by making comparisons between each criterion and the alternatives made at each level of the hierarchy in pairs to get the value of the importance of the elements in the form of a qualitative opinion. The weight values for price, lead time, payment terms, and quality and service criteria are 0.0709, 0.1409, 0.2682, and 0.5200, respectively. According to AHP, alternative weight values in each criterion are 0.3899, 0.3063, and 0.3038, namely supplier A (rank 1), supplier B (rank 2), and supplier C (rank 3), respectively. However, the results of supplier selection using the TOPSIS method are supplier B (rank 1), supplier C (rank 2), and supplier A (rank 3) with values of 518.4025, 469.2017, and 412.3928, respectively.


Keywords


Supplier selection, Price, Lead time, Payment terms, Quality and service

Full Text:

PDF

References


Andry, J.F., Tannady, H. and Nurprihatin, F. (2020) ‘Eliciting Requirements of Order Fulfilment in a Company’, in IOP Conference Series: Materials Science and Engineering, pp. 1–6. Available at: https://doi.org/10.1088/1757-899X/771/1/012023.

Beskese, A. et al. (2020) ‘Wind Turbine Evaluation Using the Hesitant Fuzzy AHP-TOPSIS Method with A Case in Turkey’, Journal of Intelligent and Fuzzy Systems, 38(1), pp. 997–1011. Available at: https://doi.org/10.3233/JIFS-179464.

Çalık, A., Çizmecioğlu, S. and Akpınar, A. (2019) ‘An integrated AHP-TOPSIS Framework for Foreign Direct Investment in Turkey’, Journal of Multi-Criteria Decision Analysis, 26(5–6), pp. 296–307. Available at: https://doi.org/10.1002/mcda.1692.

Ekmekcioğlu, Ö., Koc, K. and Özger, M. (2021) ‘Stakeholder Perceptions in Flood Risk Assessment: A Hybrid Fuzzy AHP-TOPSIS Approach for Istanbul, Turkey’, International Journal of Disaster Risk Reduction, 60, pp. 1–16. Available at: https://doi.org/10.1016/j.ijdrr.2021.102327.

James, A.T. et al. (2021) ‘Selection of Bus Chassis for Large Fleet Operators in India: An AHP-TOPSIS Approach’, Expert Systems with Applications, 186. Available at: https://doi.org/10.1016/j.eswa.2021.115760.

Nurprihatin, F. et al. (2019) ‘A Distribution Strategy Using a Two-step Optimization to Maximize Blood Services Considering Stochastic Travel Times’, in IOP Conference Series: Materials Science and Engineering. Available at: https://doi.org/10.1088/1757-899X/650/1/012043.

Nurprihatin, Filscha et al. (2019) ‘The Extension Analysis of Natural Gas Network Location-routing Design Through the Feasibility Study’, Journal of Applied Research on Industrial Engineering, 6(2), pp. 108–124. Available at: https://doi.org/10.22105/jarie.2019.174164.1082.

Nurprihatin, F. et al. (2021) ‘Decision Support System for Truck Scheduling in Logistic Network Through Cross-docking Strategy’, Journal of Physics: Conference Series, 1811(1). Available at: https://doi.org/10.1088/1742-6596/1811/1/012009.

Nurprihatin, F., Andry, J.F. and Tannady, H. (2021) ‘Setting the Natural Gas Selling Price Through Pipeline Network Optimization and Project Feasibility Study’, Journal of Physics: Conference Series, 1811(1). Available at: https://doi.org/10.1088/1742-6596/1811/1/012008.

Nurprihatin, F., Angely, M. and Tannady, H. (2019) ‘Total Productive Maintenance Policy to Increase Effectiveness and Maintenance Performance Using Overall Equipment Effectiveness’, Journal of Applied Research on Industrial Engineering, 6(3), pp. 184–199. Available at: https://doi.org/10.22105/jarie.2019.199037.1104.

Nurprihatin, F., Gotami, M. and Rembulan, G.D. (2021) ‘Improving the Performance of Planning and Controlling Raw Material Inventory in Food Industry’, International Journal of Research in Industrial Engineering, 10(4), pp. 332–345. Available at: https://doi.org/10.22105/riej.2021.306872.1250.

Nurprihatin, F., Jayadi, E.L. and Tannady, H. (2020) ‘Comparing Heuristic Methods’ Performance for Pure Flow Shop Scheduling Under Certain and Uncertain Demand’, Management and Production Engineering Review, 11(2), pp. 50–61. Available at: https://doi.org/10.24425/mper.2020.133728.

Nurprihatin, F. and Lestari, A. (2020) ‘Waste Collection Vehicle Routing Problem Model with Multiple Trips, Time Windows, Split Delivery, Heterogeneous Fleet and Intermediate Facility’, Engineering Journal, 24(5). Available at: https://doi.org/10.4186/ej.2020.24.5.55.

Nurprihatin, F. and Montororing, Y.D.R. (2021) ‘Improving Vehicle Routing Decision for Subsidized Rice Distribution Using Linear Programming Considering Stochastic Travel Times’, Journal of Physics: Conference Series, 1811(1). Available at: https://doi.org/10.1088/1742-6596/1811/1/012007.

Nurprihatin, F., Regina, T. and Rembulan, G.D. (2021) ‘Optimizing Rice Distribution Routes in Indonesia Using a Two-step Linear Programming Considering Logistics Costs’, Journal of Physics: Conference Series, 1811(1). Available at: https://doi.org/10.1088/1742-6596/1811/1/012010.

Nurprihatin, F. and Tannady, H. (2018) ‘An Integrated Transportation Models and Savings Algorithm to Minimize Distribution Costs’, in Proceeding of the 1st Asia Pacific Conference on Research in Industrial and Systems Engineering. Depok: Department of Industrial Engineering Universitas Indonesia, pp. 216–221.

Regent Montororing, Y.D. and Nurprihatin, F. (2021) ‘Model of Quality Control Station Allocation with Consider Work in Process, and Defect Probability of Final Product’, Journal of Physics: Conference Series, 1811(1). Available at: https://doi.org/10.1088/1742-6596/1811/1/012013.

Sarkar, B. and Biswas, A. (2021) ‘Pythagorean Fuzzy AHP-TOPSIS Integrated Approach for Transportation Management Through a New Distance Measure’, Soft Computing, 25(5), pp. 4073–4089. Available at: https://doi.org/10.1007/s00500-020-05433-2.

Tannady, H. et al. (2019) ‘Process Improvement to Reduce Waste in the Biggest Instant Noodle Manufacturing Company’, Journal of Applied Engineering Science, 17(2), pp. 203–212. Available at: https://doi.org/10.5937/jaes17-18951.

Tannady, H., Andry, J.F. and Nurprihatin, F. (2020) ‘Determinants Factors Toward the Performance of the Employee in the Crude Palm Oil Industry in West Sumatera, Indonesia.’, in IOP Conference Series: Materials Science and Engineering, pp. 1–5. Available at: https://doi.org/10.1088/1757-899X/771/1/012066.

Tannady, H., Erlyana, Y. and Nurprihatin, F. (2019) ‘Effects of Work Environment and Self-efficacy Toward Motivation of Workers in Creative Sector in Province of Jakarta, Indonesia’, Quality - Access to Success, 20(172), pp. 165–168.

Tannady, H., Nurprihatin, F. and Hartono, H. (2018) ‘Service Quality Analysis of Two of the Largest Retail Chains with Minimart Concept in Indonesia’, Business: Theory and Practice, 19, pp. 177–185. Available at: https://doi.org/10.3846/BTP.2018.18.

Taylor, B.W. (2019) Introduction to Management Science. 13th edn. New Jersey: Pearson Education.

Wang, B. et al. (2019) ‘Application of AHP, TOPSIS, and TFNs to Plant Selection for Phytoremediation of Petroleum-Contaminated Soils in Shale Gas and Oil Fields’, Journal of Cleaner Production, 233, pp. 13–22. Available at: https://doi.org/10.1016/j.jclepro.2019.05.301.

Zavadskas, E.K. et al. (2020) ‘Modelling Procedure for the Selection of Steel Pipe Supplier by Applying the Fuzzy AHP Method’, Operational Research in Engineering Sciences: Theory and Applications, 3(2), pp. 39–53. Available at: https://doi.org/10.31181/oresta2003034z.




DOI: http://dx.doi.org/10.30813/jiems.v15i2.4124

Refbacks

  • There are currently no refbacks.