Pengembangan Model Perencanaan Agregat Produksi Berkelanjutan Dengan Pendekatan Fuzzy Goal Programming

Indra, Nabila Zakia (2026) Pengembangan Model Perencanaan Agregat Produksi Berkelanjutan Dengan Pendekatan Fuzzy Goal Programming. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sektor industri manufaktur berperan penting dalam pertumbuhan ekonomi, namun aktivitas produksinya sering menimbulkan dampak lingkungan yang signifikan. Perencanaan Produksi Agregat (APP) konvensional umumnya masih berfokus pada efisiensi biaya dan belum mengintegrasikan aspek keberlanjutan secara menyeluruh. Terdapat celah penelitian terkait kurangnya integrasi simultan aspek ekonomi, lingkungan, dan sosial, serta belum direpresentasikannya fleksibilitas target dalam pengambilan keputusan. Penelitian ini bertujuan mengembangkan model matematis Sustainable Aggregate Production Planning (SAPP) yang mengintegrasikan ketiga pilar keberlanjutan menggunakan pendekatan Fuzzy Goal Programming. Hasil optimasi menghasilkan tingkat kepuasan solusi (λ) sebesar 0,6746 yang menunjukkan kompromi seimbang antar tujuan. Dibandingkan dengan solusi Baseline, model FGP berhasil menurunkan biaya operasional sebesar 9,6%, emisi karbon 2,1%, konsumsi energi 41,2%, serta timbulan limbah sebesar 12,0%. Dengan demikian, model SAPP berbasis FGP terbukti efektif dan tangguh dalam menangani konflik antar tujuan keberlanjutan dalam perencanaan produksi agregat.
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The manufacturing sector plays a crucial role in economic growth; however, its production activities often generate significant environmental impacts. Conventional Aggregate Production Planning (APP) primarily focuses on cost efficiency and has not yet comprehensively integrated sustainability considerations. A research gap exists due to the limited simultaneous integration of economic, environmental, and social aspects, as well as the lack of representation of target flexibility in decision-making processes. This study aims to develop a mathematical model of Sustainable Aggregate Production Planning (SAPP) that integrates the three pillars of sustainability using a Fuzzy Goal Programming approach. The optimization results yield a solution satisfaction level (λ) of 0.6746, indicating a balanced compromise among the objectives. Compared to the Baseline solution, the proposed FGP model reduces operational costs by 9.6%, carbon emissions by 2.1%, energy consumption by 41.2%, and waste generation by 12.0%. Therefore, the SAPP model based on Fuzzy Goal Programming is proven to be effective and robust in addressing conflicts among sustainability objectives in aggregate roduction planning.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Sustainable Aggregate Production Planning, Fuzzy Goal Programming, Triple Bottom Line, Ketidakpastian, Keberlanjutan Industri, Sustainable Aggregate Production Planning, Fuzzy Goal Programming, Triple bottom line, Uncertainty, Industrial Sustainability
Subjects:	T Technology > TS Manufactures T Technology > TS Manufactures > TS155 Production control. Production planning. Production management
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	Indra Nabila Zakia
Date Deposited:	22 Jan 2026 02:21
Last Modified:	22 Jan 2026 02:21
URI:	http://repository.its.ac.id/id/eprint/130023

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