Supplier selection using the rough BWM-MAIRCA model: A case study in pharmaceutical supplying in Libya

Authors

  • Ibrahim Badi Misurata University, Faculty of Engineering, Mechanical Engineering Department, Libya
  • Mohamed Ballem Misurata University, Faculty of Engineering, Mechanical Engineering Department, Libya

DOI:

https://doi.org/10.31181/dmame1802016b

Keywords:

Supplier Selection, Multi-criteria Decision-making, Rough Numbers, BWM, MAIRCA

Abstract

The quality of health system in Libya has witnessed a considerable decline since the revolution in 2011. One of the major problems this sector is facing is the loss of control over supply medicines and pharmaceutical equipments from international suppliers for both public and private sectors. In order to take the right decision and select the best medical suppliers among the available ones, many criteria have to be considered and tested. This paper presents a multiple criteria decision-making analysis using   modified BWM (Best-Worst method) and MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) methods. In the present case study five criteria and three suppliers are identified for supplier selection. The results of the study show that cost comes first, followed by quality as the second and company profile as the third relevant criterion. The model was tested and validated on a study of the optimal selection of supplier.

Downloads

Download data is not yet available.

References

Abdulshahed, A. M., Badi, I. A., & Blaow, M. M. (2017). A grey-based decision-making approach to the supplier selection problem in a steelmaking company: a case study in Libya. Grey Systems: Theory and Application, 7(3), 385-396.

Badi, I., Abdulshahed, A. M., & Shetwan, A. (2018). A case study of supplier selection for a steelmaking company in Libya by using the Combinative Distance-based ASsessment (CODAS) model. Decision Making: Applications in Management and Engineering, 1(1), 1-12.

Chai, J., Liu, J. N. & Ngai, E. W. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40, 3872-3885.

De Boer, L., Labro, E. & Morlacchi, P. (2001). A review of methods supporting supplier selection. European journal of purchasing & supply management, 7, 75-89.

Ghodsypour, S. H., & O'brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics, 56, 199-212.

Gigović, L., Pamučar, D., Bajić, Z., & Milićević, M. (2016). The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depots. Sustainability, 8(4), 372.

Govindan, K., Rajendran, S., Sarkis, J. & Murugesan, P. (2015). Multi criteria decision-making approaches for green supplier evaluation and selection: a literature review. Journal of Cleaner Production, 98, 66-83.

Guo, S. & Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Base d Systems, 121, 23-31.

Kaur, M., Hall, S., & Attawell, K. (2001). Medical Supplies and Equipment for Primary Health Care: A practical resource for procurement and management. ECHO International Health Services.

Khalifa, A., Bukhatwa, S., & Elfakhri, M. (2017). Antibiotics consumption in the eastern region of Libya 2012-2013. Libyan International Medical University Journal, 2(01), 55-63.

Liang, W. Y., Huang, C. C., Lin, Y. C., Chang, T. H., & Shih, M. H. (2013). The multi-objective label correcting algorithm for supply chain modeling. International Journal of Production Economics, 142(1), 172-178.

Mardani, A., Zavadskas, E. K., Khalifah, Z., Jusoh, A., & Nor, K. M. (2016). Multiple criteria decision-making techniques in transportation systems: A systematic review of the state of the art literature. Transport, 31(3), 359-385.

Alsageer, M. A. (2013), Analysis of informative and persuasive content in pharmaceutical company brochures in Libya. The Libyan Journal of Pharmacy & Clinical Pharmacology, 2, 951-988.

Pamučar, D., Vasin, L., & Lukovac, L. (2014). Selection of railway level crossings for investing in security equipment using hybrid DEMATEL-MARICA model. In XVI international scientific-expert conference on railway, railcon (pp. 89-92).

Porras-Alvarado, J. D., Murphy, M. R., Wu, H., Han, Z., Zhang, Z. & Arellano, M. Year. (2017). An Analytical Hierarchy Process to Improve Project Prioritization in the Austin District. Transportation Research Board 96th Annual Meeting.

Prakash, S., Soni, G., & Rathore, A. P. S. (2015). A grey based approach for assessment of risk associated with facility location in global supply chain. Grey Systems: Theory and Application, 5(3), 419-436.

Ren, J., Liang, H., & Chan, F. T. S. (2017). Urban sewage sludge, sustainability, and transition for Eco-City: Multi-criteria sustainability assessment of technologies based on best-worst method. Technological Forecasting & Social Change, 116, 29-39.

Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.

Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126–130.

Rezaei, J., Wang, J., Tavasszy, L. (2015). Linking supplier development to supplier segmentation using Best Worst Method. Expert Systems With Applications, 42, 9152-9164.

Saaty, T. L. (1979). Applications of analytical hierarchies. Mathematics and Computers in Simulation, 21, 1-20.

Saaty, T. L. (1990). Decision-making for leaders: the analytic hierarchy process for decisions in a complex world. RWS publications.

Stević, Ž., Pamučar, D., Kazimieras Zavadskas, E., Ćirović, G., & Prentkovskis, O. (2017b). The selection of wagons for the internal transport of a logistics company: A novel approach based on rough BWM and rough SAW methods. Symmetry, 9(11), 264.

Stević, Ž., Pamučar, D., Vasiljević, M., Stojić, G., & Korica, S. (2017a). Novel integrated multi-criteria model for supplier selection: Case study construction company. Symmetry, 9(11), 279.

Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2008). A rough set enhanced fuzzy approach to quality function deployment. The International Journal of Advanced Manufacturing Technology, 37, 613-624.

Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2010). Towards a QFD-based expert system: A novel extension to fuzzy QFD methodology using rough set theory. Expert Systems with Applications, 37(12), 8888-8896.

Zhu, G. N., Hu, J., Qi, J., Gu, C. C., & Peng, Y. H. (2015). An integrated AHP and VIKOR for design concept evaluation based on rough number. Advanced Engineering Informatics, 29(3), 408-418.

Published

2018-10-15

How to Cite

Badi, I., & Ballem, M. (2018). Supplier selection using the rough BWM-MAIRCA model: A case study in pharmaceutical supplying in Libya. Decision Making: Applications in Management and Engineering, 1(2), 16–33. https://doi.org/10.31181/dmame1802016b