Abstract
In today’s intricate and competitive business environment, the selection of suppliers plays a pivotal role in determining the success and efficiency of a company’s operations. Supplier selection is a multifaceted decision-making process that involves evaluating and comparing various factors, such as quality, cost, lead time, and reliability. To address the complexities inherent in this process, organizations turn to advanced decision support methodologies. This study delves into a real-life supplier selection problem and explores the application of two prominent decision-making approaches: the Analytic Hierarchy Process (AHP) and Goal Programming. AHP provides a structured framework for systematically analysing complex decision criteria and preferences, while Goal Programming facilitates the optimization of multiple conflicting objectives. The objective is the integration of AHP and Goal Programming to offer decision-makers a robust framework for analysing, prioritizing, and optimizing complex supplier selection problems. Effective supplier evaluation is crucial for the success of garment manufacturing facilities, as it impacts the quality, cost, and timely delivery of raw materials and supplies required for production. AHP provides a structured approach to decision-making by breaking down complex decisions into a hierarchy of criteria and alternatives and enabling decision-makers to assign weights to each criterion based on their relative importance. Goal Programming, on the other hand, is a mathematical programming technique that helps decision-makers to find the best possible solution that satisfies multiple, often conflicting objectives. This integration enables them to achieve a balanced and well-informed decision-making process, aligned with the strategic goals and objectives of the organization. The combination of AHP and Goal Programming can provide a powerful decision-making framework for evaluating suppliers in garment manufacturing facilities.
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References
Paldrak, M., Erdem, G., Tan Tacoğlu, M., Güçlükol, S., Staiou, E.: A literature review on supplier selection problem and fuzzy logic. In: Kahraman, C., Tolga, A.C., Cevik Onar, S., Cebi, S., Oztaysi, B., Sari, I.U. (eds.) INFUS 2022, vol. 504, pp. 339–351. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-09173-5_42
Resende, C.H., Geraldes, C.A., Junior, F.R.L.: Decision models for supplier selection in industry 4.0 era: a systematic literature review. Procedia Manuf. 55, 492–499 (2021)
Schramm, V.B., Cabral, L.P.B., Schramm, F.: Approaches for supporting sustainable supplier selection – a literature review. J. Clean. Prod. 273, 123089 (2020)
Omkarprasad, S.V., Kumar, S.: C. Eur. J. Oper. Res. 169, 1–29 (2006)
Vargas, L.: An overview of analytic hierarchy process: Its applications. Eur. J. Oper. Res. 48(1), 2–8 (1990)
Ghodsypour, S.H., O’Brien, C.: A decision support system for supplier selection using an integrated analytical hierarchy process and linear programming. Int. J. Prod. Econ. 56–67, 199–212 (1998)
Tam, M.C.Y., Tummala, V.M.R.: An application of the AHP in vendor selection of a telecommunications system. Omega 29(2), 171–182 (2001)
Handfield, R., Walton, S.V., Sroufe, R., Melnyk, S.A.: Applying environmental criteria to supplier assessment: a study in the application of the Analytical Hierarchy Process. Eur. J. Oper. Res. 141, 70–87 (2002)
Moore, D.L., Fearon, H.E.: Computer-assisted decision-making in purchasing. J. Purchasing 9(4), 5–25 (1972)
Oliveria, R.C., Lourenco, J.C.: A multi-criteria model for assigning new orders to service suppliers. Eur. J. Oper. Res. 139, 390–399 (2002)
Sharma, D., Benton, W.C., Srivastava, R.: Competitive strategy and purchasing decisions. In: Proceedings of the 1989 Annual Conference of the Decision Sciences Institute, pp. 1088–1090 (1989)
Anthony, T.F., Buffa, F.P.: Strategic purchase scheduling. J. Purchasing Mater. Manag. 13(3), 27–31 (1977)
Pan, A.C.: Allocation of order quantity among suppliers. J. Purchasing Mater. Manag. 25(3), 36–39 (1989)
Bendor, P.S., Brown, R.W., Issac, M.H., Shapiro, J.F.: Improving purchasing productivity at IBM with a normative decision support system. Interfaces 15, 106–115 (1985)
Buffa, F.P., Jackson, W.M.: A goal programming model for purchase planning. J. Purchasing Mater. Manag. 19(3), 27–34 (1983)
Liu, F., Ding, F.Y., Lall, V.: Using data envelopment analysis to compare suppliers for supplier selection and performance improvement. Supply Chain Manag. Int. J. 5(3), 143–150 (2000)
Weber, C.A., Current, J.R., Desai, A.: An optimization approach to determining the number of vendors to employ. Supply Chain Manag. Int. J. 2(5), 90–98 (2000)
Narsimhan, R.: Goal programming in a fuzzy environment. Decis. Sci. 11, 325–336 (1980)
Ronen, B., Trietsch, D.: A decision support system for purchasing management of large projects. Oper. Res. 36(6), 882–890 (1988)
Kumar, M., Vrat, P., Shankar, R.: A multi-objective interval programming approach for vendor selection problem in a supply chain. In: Proceedings of the 2002 International Conference on E-Manufacturing: An Emerging Need for 21st Century World Class Enterprises, Bhopal, India, pp. 17–19. IEI (2002)
Feng, C.X., Wang, J., Wang, J.S.: An optimization model for concurrent selection of tolerances and suppliers. Comput. Ind. Eng. 40, 15–33 (2001)
Haggag, Y.A., Mahmoud, M.A., Ghazy, A.: Statistical process control charts for quality monitoring and improving production processes. J. Manuf. Technol. Manag. 29(5), 791–819 (2018)
Bhatnagar, B.L., Tiwari, G., Theobalt, C., Pons-Moll, G.: Multi-garment net: learning to dress 3D people from images. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 5420–5430 (2019)
Şahan, S.: Acceptance sampling methods used in quality control and an application. Yüksek Lisans Tezi, Dokuz Eylül Üniversitesi, Fen Bilimleri Enstitüsü, İzmir (2003)
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Erdinç, P., Buduneli, Z., Gerşil, Ç., Erton, C., Paldrak, M., Staiou, E. (2024). Analytic Hierarchy Process (AHP) and Goal Programming Approach for a Real-Life Supplier Selection Problem. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds) Industrial Engineering in the Industry 4.0 Era. ISPR 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-53991-6_53
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