An Analytical Network Process for Selecting Raw Material Suppliers of UNP100: A Case Study


  • Kirana Rukmayuninda Ririh Universitas Pancasila Jakarta
  • Desinta Rahayu Ningtyas Universitas Pancasila Jakarta
  • Fikri Taufiq Rahman Universitas Pancasila Jakarta


Decision Making, Supplier Selection, Analytic Network Process, supermatrix


A UNP-100 is a canal iron that connects the storage area (bin) to the frame of a truck. Therefore, the selection of UNP-100 suppliers is an essential process. Suppliers are chosen to provide high-quality materials, in-time deliveries, affordable prices, and excellent services, the applied analytical network process (ANP) in this study. The quantitative method is conducted through questionnaires, and the qualitative method is by interviews. After distributing the questionnaires, calculations are carried out to assess suppliers by constructing an ANP supermatrix. The respondents are the purchasing managers, the quality managers, and the PPIC managers. The criteria to choose suitable suppliers are packaging (0.060), price (0.212), customer care (0.712), delivery (0.103), and quality (0.351). The prioritized UNP-100 suppliers are PT. KPPE (0.346), PT. KPS (0.344), and PT. SME (0.31).

Author Biographies

Kirana Rukmayuninda Ririh, Universitas Pancasila Jakarta

Faculty of Engineering, Department of Industrial Engineering, Universitas Pancasila, Jl. Raya LentengAgung, 56-80, Srengseng Sawah, Jakarta Selatan, 12640, Indonesia

Desinta Rahayu Ningtyas, Universitas Pancasila Jakarta

Faculty of Engineering, Department of Industrial Engineering, Universitas Pancasila, Jl. Raya LentengAgung, 56-80, Srengseng Sawah, Jakarta Selatan, 12640, Indonesia

Fikri Taufiq Rahman, Universitas Pancasila Jakarta

Faculty of Engineering, Department of Industrial Engineering, Universitas Pancasila, Jl. Raya LentengAgung, 56-80, Srengseng Sawah, Jakarta Selatan, 12640, Indonesia


Chai, J., and Ngai, E. W., Decision-Making Techniques in Supplier Selection: Recent Accomp-lishments and What Lies Ahead, Expert Systems with Applications, 140, 2020, 112903.

Karpak, B. Reflections: Mathematical Prin¬ciples of Decision Making, International Journal of Analytical Hierarchy Process, 9(3), 2017, pp.17-25

Alikhani, R., Torabi, S. A., and Altay, N., Strategic Supplier Selection under Sustainability and Risk Criteria, International Journal of Production Economics, 208, 2019, pp. 69-82.

Hendiani, S., Liao, H., Ren, R., and Lev, B., A Likelihood-based Multi-criteria Sustainable Sup-plier Selection Approach with Complex Prefe¬ren-ce Information, Information Sciences, 536, 2020, pp.135-155.

Ishizaka, A., Analytic Hierarchy Process and Its Extensions, In New Perspectives in Multiple Criteria Decision Making, Springer, Cham, 2019, pp. 81-93.

Jain, N., Singh, A. R., and Upadhyay, R. K., Sus-tain¬able Supplier Selection under Attractive Criteria through FIS and Integrated Fuzzy MCDM Techniques, International Journal of Sustainable Engineering, 13(6), 2020, pp. 441-462.

Navarro, N., Valverde, P. D. F., Quesada, H. J., and Madrigal-Sánchez, J.,A Supplier Selection Model for the Wood Fiber Supply,2020.

Song, W., Xu, Z., and Liu, H. C., Developing Sustainable Supplier Selection Criteria for Solar Air-Conditioner Manufacturer: An Integrated Approach. Renewable and Sustainable Energy Reviews, 79, 2017, pp. 1461-1471.

Aghasafari, H., Karbasi, A., Mohammadi, H., and Calisti, R., Determination of the Best Strategies for Development of Organic Farming: A SWOT–Fuzzy Analytic Network Process Approach, Journal of Cleaner Production, 277, 2020, 124039.

Giannakis, M., Dubey, R., Vlachos, I., and Ju, Y., Supplier Sustainability Performance Evalua¬tion using the Analytic Network Process. Journal of Cleaner Production, 247, 2020, 119439.

Uzunlar, F. B., Güler, Ö., and Kalenderli, Ö., Wind Turbine Selection Method By Using Analytical Network Process Associated with Cost Benefit Analysis. Environmental Engi¬neer¬ing and Management Journal, 19(5), 2020, pp.873-883

Lancharoen, S., Suksawang, P., and Naenna, T., Readiness Assessment of Information Inte¬gra¬tion in a Hospital using an Analytic Network Process Method for Decision-making in a Health¬care Network, International Journal of Engineering Business Management, 12, 2020, 1847979019899318.

Singha, S., and Pasupuleti, S., Delineation of Groundwater Prospect Zones in Arang Block, Raipur District, Chhattisgarh, Central India, Using Analytical Network Process, Journal of the Geological Society of India, 95(6), 2020, 609-615.

Arvidsson, A. P., and Melander, L., The Multiple Levels of Trust when Selecting Sup¬pliers–In-sights from an Automobile Manufacturer. Industrial Marketing Management, 87, 2020, pp. 138-149.

Sagnak, M., Selecting the Most Appropriate Supplier in the Green Environment: A Hybrid Multi-Criteria Decision-Making Application. In Handbook of Research on Industrial Applications for Improved Supply Chain Performance. IGI Global, 2020, pp. 101-124.

Raut, R. D., Gardas, B. B., Narkhede, B. E., and Zhang, L. L., Supplier Selection and Perfor¬man-ce Evaluation for Formulating Supplier Selec¬tion Strategy by MCDM-based Approach. International Journal of Business Excellence, 20(4), 2020, pp. 500-520.

Kumar, S., Kumar, S., and Barman, A. G., Supplier Selection using Fuzzy TOPSIS Multi Criteria Model for a Small Scale Steel Manufacturing unit. Procedia computer Science, 133, 2018, 905-912.

Mu, E., Cooper, O., and Peasley, M., Best Practices in Analytic Network Process Studies. Expert Systems with Applications, 159, 2020, 113536.

Hadian, H., Chahardoli, S., Golmohammadi, A. M., and Mostafaeipour, A., A Practical Frame-work for Supplier Selection Decisions with an Application to the Automotive Sector. Interna-tional Journal of Production Research, 58(10), 2020, 2997-3014.

Choi, H., Park, K. S., and Kim, J., An Analytic Network Process Model to Select Supplier of Energy Production Facility of a Synthetic Fiber Production Company, The Journal of the Korea Contents Association, 18(12), 2018, 291-298.

Maestrini, V., Luzzini, D., Maccarrone,P., Caniato, F., Supply Chain Performance Measu-re¬¬ment Systems: A Systematic Review and Research Agenda, International Journal of Production Economic, 183 Part A, 2017, pp. 299-315

Han, Y., Geng, Z., Zhu, Q., Wang, Z., and Cui, Y., Energy Consumption Analysis and Evaluation of Petrochemical Industries using an Improved Fuzzy Analytic Hierarchy Process Approach, Journal of Intelligent and Fuzzy Systems, 32(6), 2017, pp. 4183-4195.

Taherdoost, H., and Brard, A., Analyzing the Process of Supplier Selection Criteria and Methods, Procedia Manufacturing, 32, 2019, pp. 1024-1034.

Rashidi, K., Noorizadeh, A., Kannan, D., and Cullinane, K., Applying the Triple Bottom Line in Sustainable Supplier Selection: A Meta-Review of the State-of-the-art, Journal of Cleaner Production, 2020, 122001.

Chen, K. S., Chung, L., and Chang, T. C., Developing a Quality-based Supplier Selection Model from the Buying Company Perspec-tive, Quality Technology and Quantitative Management, 18(3), 2020, pp. 267-284.

Tusnial, A., Sharma, S. K., Dhingra, P., and Routroy, S., Supplier Selection using Hybrid Multi-criteria Decision-making Methods. International Journal of Productivity and Perfor-mance Management, 70(6), 2020, pp.1393-1418.

Saaty, T. L., and De Paola, P., Rethinking Design and Urban Planning for the Cities of the Future, Buildings, 7(3), 2017, pp. 1–22.

Goepel, K. D., Comparison of Judgment Scales of the Analytical Hierarchy Process - A New Approach. International Journal of InformationTechnology and Decision Making, 18(2), 2019,pp. 445–463

Asadabadi, M. R., Chang, E., and Saberi, M., Are MCDM Methods Useful? A Critical Review of Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP), Cogent Engineering, 6(1), 2019, 1623153.

Ririh, K. R., Ningtyas, D. R., and Utami, D. A ., Strategy for Reducing Material Waste of Ready-Mix Concrete Production through Analytical Hierarchy Process (A Case Study). Proceedings of the 5th NA International Conference on Indus-trial Engineering and Operations Management, 2020, 3288-3296.