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A Genetic Algorithm for Solving Periodic Heterogeneous Vehicle Routing Problem Amelia Khoidir; Annisa Kesy Garside
Jurnal Teknik Industri Vol. 23 No. 1 (2022): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol23.No1.31-42

Abstract

This paper addresses the periodic heterogeneous vehicle routing problem (PHVRP), an extension of the classical vehicle routing problems (VRP). This problem is known to be confined to various real-world instances where each customer's demand should be served within a specific time horizon and a maximum demand quantity that can be delivered at each visit. The heterogeneous capacitated vehicles are available to perform the services for each customer. This paper aims to minimize the total traveling time of routes for all vehicles over the time horizon so that the customers' demands can be delivered. Thus, a novel coding scheme is also proposed to directly convert a random sequence of integers into a feasible solution, which is then embedded into algorithms. Furthermore, this paper also compares the performance of the Genetic Algorithm (GA) with the particle swarm optimization algorithm (PSO). The numerical results of the experiments show that the proposed GA is superior to PSO. However, the computation time of PSO is faster than GA.
Telecommunication service quality analysis using integration of SIPA and modified Kano Hanny Kanavika Rizky Munawar; Annisa Kesy Garside; Adhi Nugraha; Amelia Khoidir
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i1.5530

Abstract

This article investigates the integrated approach of the Simultaneous Impor­tance-Performance Analysis (SIPA) model and the modified Kano model to evaluate and prioritize service attributes for telecommunication companies in Indonesia. The study is based on the demographic profiles and usage patterns of 74 respondents. The results demonstrate that the SIPA and Kano models can provide valuable insights for identifying priority areas and effective strategies for improving service quality. Specifically, the SIPA model helps to compare competitor performance and identify important service attributes. In contrast, the modified Kano model facilitates a dynamic cycle of service attribute evaluation to inform managerial strate­gies. This article contributes by highlighting the potential of the proposed ap­proach to offer valuable insights to telecommunication companies seeking to enhance their service offerings and remain competitive in a con­stantly evolving market.
Economic production quantity model with defective items, imperfect rework process, and lost sales Chusnul Aprilianti; Annisa Kesy Garside; Amelia Khoidir; Thomy Eko Saputro
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 1 (2024): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i1.7580

Abstract

This study proposes an economic production quantity (EPQ) model that comprehensively addresses scrap items, imperfect quality items, rework processes, and shortages. The model incorporates various types of defective items, including scrap, imperfect quality, and rework able items, and implements immediate rework processes upon the completion of regular production. Shortages are treated as lost sales, enhancing the accuracy of inventory cost estimations. Numerical experiments demonstrate the opti­mal­ity of production lot sizes and underscore the impact of production and demand rate adjustments on overall inventory costs. Sensitivity analysis further elucidates the influence of imperfect quality items on inventory costs. This EPQ model offers a comprehensive approach to efficient and effective finished product inventory management by integrating consider­ations for scrap items, imperfect quality items, and rework processes. Addi­tionally, a furniture manufacturing company case is presented to illustrate the practical application of the proposed model.
Usulan Peningkatan Efektivitas Mesin Hammer Milling dengan Metode ORE dan FMECA Fuad Bahrul Ilmi; Annisa Kesy Garside; Amelia Khoidir; Rahmad Wisnu Wardana
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 10 No. 1 (2024): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v10i1.8189

Abstract

PT. X adalah bagian dari Kappa Group, sebuah bisnis terintegrasi dalam industri rumput laut Indonesia. Salah satu masalah dalam produksi di PT. X adalah mesin hammer milling sering mengalami downtime sehingga menurunkan efektivitas mesin tersebut. Tujuan dari penelitian ini adalah mengukur efektivitas dan memberikan usulan untuk meningkatkan efektivitas mesin hammer milling. Langkah-langkah penelitian terdiri dari pengukuran efek­­­tivitas mesin dengan metode Overall Resource Effectiveness (ORE), identifikasi faktor penyebab rendahnya efektivitas mesin dengan fishbone diagram, perhitungan tingkat kekritisan mode kegagalan dengan Failure Mode Effect and Critical Analysis (FMECA), dan pemberian usulan peningkatan efektivitas mesin berdasarkan critical analysis. Hasil pengolahan data didapatkan nilai ORE sebesar 55,95% yang menunjukkan efektivitas mesin hammer milling cukup baik dan terdapat beberapa indikasi yang perlu dilakukan perbaikan. Usulan peningkatan efektivitas mesin yang direkomen­dasikan adalah penentuan tingkat persediaan suku cadang original dengan menggunakan metode continuous review, preventive maintenance berdasarkan jadwal perawatan yang ditetap­kan, dan implementasi autonomous maintenance.
Halal sustainable supplier selection using an integrated F-AHP and F-TOPSIS approach: A case study in the meat supply chain in Malang Khoidir, Amelia; Bili, Ferderikus Ama; Rahmasari, Dewi
Journal of Halal Science and Research Vol. 6 No. 2 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jhsr.v6i2.12911

Abstract

The halal meat supply chain faces unique challenges, including strict halal certification requirements, sustainability concerns, and the need for advanced traceability systems. Small and medium-sized enterprises (SMEs) frequently struggle to comply owing to financial and technological constraints. This study aims to construct a structured decision-making framework for selecting halal sustainable meat suppliers by combining the Fuzzy Analytical Hierarchy Process (F-AHP) and the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS). F-AHP is used to define the evaluation criteria, build the hierarchical structure, and compute the relative weights using expert pairwise comparisons. Moreover, F-TOPSIS is used to evaluate suppliers, normalize the decision matrix, discover positive and negative ideal solutions, and compute the closeness coefficient to produce the final ranking. The results show that halal compliance is the most critical factor in supplier selection, with halal certification and product quality as the top priorities. The proposed framework provides a systematic approach to integrating halal and sustainability principles in supplier evaluation, supporting supply chain managers in making informed decisions while upholding worldwide halal and ecological requirements. Keywords: F-AHP, F-TOPSIS, Halal compliance, Halal sustainable supply chain, Meat industry, Supplier selection.
Telecommunication service quality analysis using integration of SIPA and modified Kano Munawar, Hanny Kanavika Rizky; Garside, Annisa Kesy; Nugraha, Adhi; Khoidir, Amelia
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i1.5530

Abstract

This article investigates the integrated approach of the Simultaneous Impor­tance-Performance Analysis (SIPA) model and the modified Kano model to evaluate and prioritize service attributes for telecommunication companies in Indonesia. The study is based on the demographic profiles and usage patterns of 74 respondents. The results demonstrate that the SIPA and Kano models can provide valuable insights for identifying priority areas and effective strategies for improving service quality. Specifically, the SIPA model helps to compare competitor performance and identify important service attributes. In contrast, the modified Kano model facilitates a dynamic cycle of service attribute evaluation to inform managerial strate­gies. This article contributes by highlighting the potential of the proposed ap­proach to offer valuable insights to telecommunication companies seeking to enhance their service offerings and remain competitive in a con­stantly evolving market.
Economic production quantity model with defective items, imperfect rework process, and lost sales Aprilianti, Chusnul; Garside, Annisa Kesy; Khoidir, Amelia; Saputro, Thomy Eko
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 1 (2024): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i1.7580

Abstract

This study proposes an economic production quantity (EPQ) model that comprehensively addresses scrap items, imperfect quality items, rework processes, and shortages. The model incorporates various types of defective items, including scrap, imperfect quality, and rework able items, and implements immediate rework processes upon the completion of regular production. Shortages are treated as lost sales, enhancing the accuracy of inventory cost estimations. Numerical experiments demonstrate the opti­mal­ity of production lot sizes and underscore the impact of production and demand rate adjustments on overall inventory costs. Sensitivity analysis further elucidates the influence of imperfect quality items on inventory costs. This EPQ model offers a comprehensive approach to efficient and effective finished product inventory management by integrating consider­ations for scrap items, imperfect quality items, and rework processes. Addi­tionally, a furniture manufacturing company case is presented to illustrate the practical application of the proposed model.