A Case-Based Sensitivity Analysis for Supplier Selection in a Manufacturing Company by Using Goal Programming
International Symposium for Production Research, ISPR 2025, İstanbul, Türkiye, 9 - 11 Ekim 2025, ss.537-553, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1007/978-3-032-22784-3_45
- Basıldığı Şehir: İstanbul
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.537-553
- Anahtar Kelimeler: Supplier Selection, Supply Chain Management, Weighted Goal Programming
- Kocaeli Üniversitesi Adresli: Evet
Özet
In today’s increasingly globalized market, companies must maintain their presence and adapt to competitive environments. To survive and remain competitive, firms are compelled to explore new solutions and make the right choices with the right strategies. At this point, the supply chain management process, managed by purchasing departments, is one of the most critical components that firms must consider in achieving their strategic objectives. Among the most important decision problems in supply chain management is the supplier selection problem, which is a complex multi-criteria decision-making problem. The goal of supplier selection is to identify the supplier that best meets the needs and expectations of both the customer and the firm. In this study, the selection of the most appropriate suppliers was addressed for the procurement of raw materials required for various product groups manufactured in an automotive plastic injection company. To determine from which of the five evaluated suppliers, and in what quantity, raw materials should be procured for each product group, Weighted Goal Programming was used. The prioritization of the weighting objectives has been carried out, and penalty coefficients have been assigned for certain targets specified in the constraints. These penalty coefficients were determined by the decision-maker. As a result of the study the supplier was selected, and then, the sensitivity analysis was conducted by re-evaluating the study under three different scenarios, and the impact of the changes made for each scenario on the final outcome was interpreted.