Model Remanufacturing Planning dengan Mempertimbangkan Kondisi Ketidakpastian Kualitas

Mustajib, Mohamad Imron (2022) Model Remanufacturing Planning dengan Mempertimbangkan Kondisi Ketidakpastian Kualitas. Doctoral thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Remanufaktur adalah strategi pemulihan produk pada fase end of life yang berperan penting di era circular economy untuk mengembalikan fungsi produk ke fase useful life. Pola penggunaan produk saat di tangan konsumen pada fase middle of life telah memicu kondisi end of life yang beragam dengan informasi yang tidak lengkap. Ketidaklengkapan informasi dan variabilitas kondisi end of life produk dapat menyebabkan kualitas incoming core dalam sistem remanufaktur menjadi tidak pasti. Kondisi teknologi, fisik, dan penggunaan adalah faktor yang terkait dengan ketidakpastian kualitas incoming core. Metode perencanaan yang efektif diperlukan untuk menangani ketidakpastian kualitas pada aktifitas core acquisition dan remanufacturing operations pada sistem remanufaktur. Mayoritas studi yang ada, yaitu pengembangan model perencanaan remanufaktur untuk menangani ketidakpastian kualitas pada aktifitas core acquisition hanya menitikberatkan pada kriteria ekonomi untuk mengklasifikasikan kualitas incoming core. Pendekatan tersebut tidak memadai untuk penilaian kualitas end of life product yang kondisi kualitasnya bersifat multi-dimensi dan saling bertentangan (conflicting). Hal ini memunculkan adanya gap penelitian multi-criteria sorting problem agar kualitas incoming core dapat dinilai berdasarkan keputusan multikriteria kualitas. Metode penyortiran yang efektif diperlukan untuk menetapkan kualitas incoming core ke dalam beberapa kelas. Kemudian, dalam aktifitas operasi remanufaktur juga diperlukan model perencanaan untuk pemilihan proses remanufaktur dengan beragam kualitas incoming core untuk meminimasi total biaya, karena ketidakpastian kualitas incoming core dapat menyebabkan peningkatan biaya dan kompleksitas operasi dalam sistem remanufaktur. Berdasarkan research gap di atas, penelitian ini bertujuan mengusulkan model untuk mendukung perencanaan remanufaktur pada aktifitas akuisisi core dan operasi remanufaktur. Validasi model dapat dilakukan menggunakan contoh numerik pada kasus komponen mekanikal remanufaktur alat berat. Pertama, model multicriteria sorting problem diusulkan sebagai tool untuk menangani masalah klasifikasi kualitas incoming core dengan mempertimbangkan kondisi teknologi, fisik, dan penggunaan. Model ini merupakan metode hybrid AHP Grey Clustering. Pembobotan yang dilakukan secara subyektif menunjukkan hasil bahwa sub kriteria multiple life cycles adalah atribut terpenting dalam mengevaluasi kualitas incoming core. Sedangkan pembobotan obyektif menunjukkan bahwa sub kriteria toleransi geometrik dan dimensional adalah atribut terpenting dalam mengevaluasi kualitas incoming core. Hasil pemodelan memperlihatkan kemampuan model untuk mengklasifikasikan kualitas incoming core ke dalam beberapa grade kualitas. Kedua, model optimasi perencanaan proses remanufaktur untuk pemilihan proses dengan mempertimbangkan kualitas incoming core yang beragam dengan memperhatikan kendala kualitas dan emisi karbon. Model optimasi ini Merupakan pendekatan mixed integer non-linear programming. Solusi model memperlihatkan bahwa pembatas kualitas mampu memberikan sumberdaya yang surplus. Sedangkan, pembatas emisi karbon menunjukkan sebagai pembatas yang mengikat (binding constraint).
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Remanufacturing is recovery strategy for end-of-life products which play a vital role in the circular economy era to return product functions to their useful life status. Usage pattern of product during on consumer’s hands in the middle of life phase has triggered various end of life conditions with incomplete information. The incomplete information and variability of product end-of-life conditions may cause the quality of incoming cores in the remanufacturing system to be uncertain. It is possible that the uncertain quality of icoming core is a result of technological, physical, and usage conditions. There remains a need for an effective planning method to deal with quality uncertainty during core acquisition activities and remanufacturing operations in remanufacturing systems. Most studies in the field of remanufacturing planning models to deal the uncertain quality in core acquisition activities have focused on economic criteria for quality classification of incoming cores. This approach is inadequate for quality assessment in cases where is complex problem with multi-dimensional and conflicting quality conditions of the incoming core. This indicates a research gap in multi-criteria sorting problem so that the quality of the incoming core can be assessed based on a multi-criteria quality decision. Sorting in core acquisition is an essential activity element due to considerable variability in the quality of the incoming core. Thus, there is a need for appropriate sorting method which can assign about the quality of the return products into several classes. Furthermore, in operational activity, a planning model for the emanufacturing process is also needed with variability quality of incoming core to minimize total cost, due to uncertain quality of incoming core has contributed to the increase in cost and complexity of operations in the remanufacturing system. As far as known the research gap is concerned, the present study aimed to propose decision-making model to support remanufacturing planning in core acquisition and remanufacturing operation. Validation of the model can be done by using numerical examples on mechanical parts remanufactured in heavy equipment. First, a multicriteria sorting model was proposed as a tool to handle quality classification problem of incoming core by considering technology, physical, and usage conditions. This model was developed based on hybrid method of AHP Grey Clustering. The subjective weighting shows that the multiple life cycles sub-criteria is the most important attribute in evaluating the quality of incoming cores. While the objective weighting shows that the sub-criteria of geometric and dimensional tolerance are the most important attributes in evaluating the quality of incoming cores. It is evident from the modeling results that its's ability to classify the quality incoming cores into several classes. Second, a remanufacturing process planning optimization model for process selection is proposed by considering the multi-class quality of incoming cores under quality and carbon emission constraints. This model was developed based on mixed integer non linear programming approach. The solution of the model showed that the quality constraint is able to provide a surplus resource. Meanwhile, the carbon emission constraint revealed as a binding constraint.

Item Type:	Thesis (Doctoral)
Uncontrolled Keywords:	Remanufacturing Planning, Quality Uncertainty, Sorting, Multi-criteria
Subjects:	T Technology > TS Manufactures > TS176 Manufacturing engineering. Process engineering (Including manufacturing planning, production planning)
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26001-(S3) PhD Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	21 Jan 2026 03:44
Last Modified:	21 Jan 2026 03:44
URI:	http://repository.its.ac.id/id/eprint/129929

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