Perancangan Sistem Pengendalian Kualitas Menggunakan Goal Programming Model Dengan Satisfaction Function

Zendrato, Rosleini Ria Putri (2008) Perancangan Sistem Pengendalian Kualitas Menggunakan Goal Programming Model Dengan Satisfaction Function. Masters thesis, Institut Teknologi Sepuluh November.

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Abstract

Kualitas menjadi faktor dasar keputusan konsumen dalam memilih suatu produk atau jasa, sehingga kualitas merupakan penentu keberhasilan bisnis, pertumbuhan, dan peningkatan posisi bersaing. Untuk menjamin kualitas produk yang dihasilkan memenuhi syarat-syarat dari konsumen, maka perlu dilakukan pengendalian kualitas. Ketika hanya satu karakteristik output dipertimbangkan dalam pengendalian kualitas, maka masalah dapat diselesaikan secara konvensional. Pengendalian kualitas menjadi lebih kompleks ketika banyak karakteristik output yang dipertimbangkan dan masing-masing harus memenuhi spesifikasi tertentu. Kompleksitas pengendalian kualitas sebagai sebuah sistem sering kali menimbulkan konflik di antara beberapa tujuan yang ingin dicapai. Peningkatan pencapaian pada salah satu karakteristik mengakibatkan pengurangan pencapaian karakteristik yang lain, sehingga diperlukan perancangan sistem pengendalian kualitas secara simultan. Penelitian ini mengembangkan model goal programming dengan satisfaction function dan fuzzy goal programming untuk merancang sistem pengendalian kualitas, di mana hubungan karakteristik input dan parameter proses terhadap karakteristik output adalah nonlinier. Pengujian model dilakukan dengan menggunakan data dari perusahaan. Pada penelitian ini terlebih dahulu dilakukan uji linieritas terhadap persamaan regresi yang menggambarkan hubungan antara karakteristik input dan parameter proses terhadap karakteristik output yang diasumsikan linier. Selanjutnya dilakukan perancangan sistem pengendalian kualitas dan analisis untuk mengetahui kemampuan model dalam memenuhi preferensi pembuat keputusan. Hasil yang diperoleh dengan data yang ada menunjukkan bahwa penggunaan fuzzy goal programming memberikan performansi yang lebih baik daripada satisfaction function goal programming. Fuzzy goal programming mampu memenuhi seluruh spesifikasi yang ditetapkan oleh pembuat keputusan.
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Quality becomes a fundamental factor in consumers' decisions when choosing a product or service; therefore, quality is a determinant of business success, growth, and improvement of competitive position. To ensure that the quality of products meets consumer requirements, quality control is necessary. When only a single output characteristic is considered in quality control, the problem can be solved using conventional statistical tools. However, quality control becomes more complex when multiple output characteristics are considered and each characteristic must satisfy specific requirements. The complexity of quality control as a system often generates conflicts among several objectives. Improving the achievement of one characteristic may reduce the achievement of another characteristic; therefore, a simultaneous quality control system design is required. The goal programming (GP) model with satisfaction functions and fuzzy goal programming can be used to simultaneously aggregate several quality characteristics and explicitly integrate the decision maker's preferences. Goal programming with satisfaction functions has been developed to design a quality control system in which the relationships between input characteristics and process parameters and output characteristics are linear. In reality, the relationships between input characteristics, process parameters, and output characteristics are not always linear. Therefore, a new approach is needed to address nonlinear relationships. This research develops a quality control system design using a goal programming model with satisfaction functions and fuzzy goal programming, in which the relationships between input characteristics and process parameters and output characteristics are nonlinear. The model is tested using data from a company. In this research, a linearity test is first conducted on the regression equations describing the relationships between input characteristics, process parameters, and output characteristics. Subsequently, a quality control system is designed and analyzed to determine the model's ability to fulfill the decision maker's preferences. The results indicate that fuzzy goal programming provides better performance than satisfaction function goal programming. Fuzzy goal programming is able to satisfy all specifications established by the decision maker.

Item Type:	Thesis (Masters)
Additional Information:	RTI 658.562 Zen p
Uncontrolled Keywords:	goal programming, pengendalian kualitas, satisfaction function,goal programming, quality control, satisfactionJunction
Subjects:	T Technology > T Technology (General) > T57.6 Operations research--Mathematics. Goal programming T Technology > TS Manufactures > TS156 Quality Control. QFD. Taguchi methods (Quality control)
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	magang .
Date Deposited:	28 Sep 2026 08:36
Last Modified:	28 Sep 2026 08:36
URI:	http://repository.its.ac.id/id/eprint/144990

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