Model Game Theory – Vendor Managed Inventory Untuk Supply Chain Tiga Tingkat Menggunakan Algoritma Grey Wolf Optimizer

Abdullah, Fakhrina Fahma (2026) Model Game Theory – Vendor Managed Inventory Untuk Supply Chain Tiga Tingkat Menggunakan Algoritma Grey Wolf Optimizer. Masters thesis, Institut Teknologi Sepuluh Nopember.

Text 6010241098-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (2MB) | Request a copy

Abstract

Penelitian ini mengembangkan model Vendor Managed Inventory (VMI) untuk sistem supply chain tiga tingkat dengan konfigurasi multi-supplier single-manufacturer multi-buyer (MS-SP-MB). Tujuan utama model ini adalah memaksimalkan Grand Total Profit (GTP) dari seluruh sistem, dengan menggunakan data deterministik dan kendala nyata dalam praktik industri. Pendekatan non-cooperative game theory Vertical Nash Game dan Stackelberg Game digunakan untuk merepresentasikan interaksi strategis antar entitas supply chain, yaitu supplier, manufacturer, dan buyer yang saling mempengaruhi. Penyelesaian model dilakukan menggunakan algoritma metaheuristik Grey Wolf Optimizer (GWO), yang terbukti efektif dalam menangani permasalahan optimasi kompleks. Hasil penelitian menunjukkan bahwa pada Vertical Nash Game menghasilkan GTP lebih tinggi dibandingkan Stackelberg Game. Pada Vertical Nash Game menghasilkan distribusi revenue 6,78% (supplier), 39,60% (manufacturer), dan 53,62% (buyer), sedangkan pola leader-follower pada Stackelberg Game menghasilkan distribusi revenue 11,50%, 24,37%, dan 64,14%. Temuan ini menegaskan bahwa struktur pengambilan keputusan mempengaruhi nilai GTP dan distribusi profit sistem supply chain terintegrasi.
===============================================================================================================================
This research develops a Vendor Managed Inventory (VMI) model for a three-echelon supply chain system with multi-supplier single-manufacturer multi-buyer (MS-SP-MB). The major goal of this approach is to optimize the whole system’s Grand Total Profit (GTP) by supply chain, with deterministic data and real case restriction from industrial practice. Vertical Nash Games and Stackelberg Game, a non-cooperative game theoru technique, are used to depict the interaction strategies of supply chain actors, suppliers, manufacturer, and buyers, that affect one another. The model is solved by the Grey Wolf Optimizer (GWO) metahueristic algorithm, which has proven effective in dealing with complicated optimization issues. The result indicate that the Vertical Nash Game achieves a GTP than the Stackelberg Game. Under the Vertical Nash Game, the revenue shares are 6,78% for the supplier, 39,60% for the manufacturer, and 53,62% for the buyer. In contrast, the leader-follower structure in the Stackelberg Game leads to revenue shares of 11,50%, 24,37%, and 64,14%, respectively. These result demonstrate that the decision-making structure has a impact on both GTP and profit distribution whitin an integrated supply chain system.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Vendor Managed Inventory, Optimasi, Game Theory, Persediaan, Algoritma Metaheuristik, algoritma Grey Wolf Optimizer, Optimization, Inventory, Metaheuristic Algorithm, Grey Wolf Optimizer Algorithm
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T57.6 Operations research--Mathematics. Goal programming T Technology > T Technology (General) > T57.84 Heuristic algorithms. T Technology > T Technology (General) > T58.62 Decision support systems T Technology > T Technology (General) > T58.8 Productivity. Efficiency
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	Fakhrina Fahma Abdullah
Date Deposited:	26 Jan 2026 04:35
Last Modified:	26 Jan 2026 06:31
URI:	http://repository.its.ac.id/id/eprint/130343

Actions (login required)

View Item