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All Journal Jurnal Teknik Industri CAUCHY: Jurnal Matematika Murni dan Aplikasi Industrial and Systems Engineering Assessment Journal (INASEA) Jurnal Optimasi Sistem Industri PERFORMA : Media Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Indonesian Journal of Computing, Engineering, and Design SEMAR Makara Journal of Technology Jurnal Pengabdian Masyarakat dan aplikasi Teknologi
Cucuk Nur Rosyidi
Universitas Sebelas Maret
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Effect of Chip Breaker Geometries on Cutting Force A Finite Element Analysis Fawzi Zamria, Mohd; Nor Sufyan Sudin, Mohd; Nur Rosyidi, Cucuk; Bin Yusoff, Ahmad Razlan
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 7 No. 1 (2025): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v7i1.505

Abstract

Continuous chip formation during metal cutting operations poses substantial challenges, from deteriorating surface finish to accelerated tool wear. Our research examines how six chip breaker geometric parameters of insert rake angle, land, radius, width, height, and nose radius influence cutting forces in turning operations. Using DEFORM-3D, we simulated 27 distinct chip breaker configurations based on Taguchi's L27 orthogonal array while maintaining constant cutting parameters of 275 mm/min speed, 0.2 mm/rev feed, and 1.0 mm depth. ANOVA findings showed that nose radius was most influential with F-ratio equal to 27.41, followed by insert width and rake angle. The optimized geometry of the rake angle is 16°, the land is 0.1 mm, the radius is 0.5 mm, width is 2.0 mm, height is 0.25 mm, and the nose radius is 0.8 mm achieved the lowest cutting force of 798 N, a 15.8% reduction from the experimental average. This research replaces traditional trial-and-error approaches with systematic optimization, providing manufacturers with specific guidelines for enhancing chip control, surface quality, and tool life in industrial applications.
An integrated Optimization Model of Product Mix, Assortment Packing, and Distribution in A Fashion Footwear Company Cucuk Nur Rosyidi; Erina Annastya Octaviani; Pringgo Widyo Laksono
Jurnal Optimasi Sistem Industri Vol. 22 No. 2 (2023): Published in December 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v22.n2.p142-152.2023

Abstract

Recognizing the paramount importance of operational effectiveness and resource management in supply chain management (SCM) of the fashion industry, this study addresses a specific challenge faced by a prominent Indonesian fashion footwear company. The inefficiency is due to repetitive sorting and packaging processes during product distribution, which significantly impact optimal production mixes and product distribution from the distribution center to the point of sale. A crucial aspect is also the optimization of the delivery route. To address these challenges and minimize the total cost of ownership, the study proposes an integrated optimization model. This model simultaneously determines the optimal production quantity, assortment packaging, and distribution channels, taking into account decision variables related to distribution in configuration boxes, overload and underload products, as well as production numbers that respond to store-specific demand fluctuations. A notable contribution of this research is the integration of product mix decisions into the assortment packaging and distribution model, which represents a novel approach. The optimal solution determined using the LINGO 18.0 software highlights the significant influence of product penalty costs and product demand parameters on the objective function, while shipping costs have no noticeable influence. By emphasizing the integration of product mix decisions into the optimization framework, this research contributes significantly to improving the understanding and practical application of efficient supply chain management in the fashion industry.
Order Allocation Model Considering Transportation Alternatives and Lateral Transhipment Ashylla Maharani; Cucuk Nur Rosyidi; Pringgo Widyo Laksono
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in April 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v21.n1.p38-45.2022

Abstract

Intense competition among companies encourages them to provide the best quality of products in competitive price. It is important for company to manage supply chain properly in order to achieve that. Selecting the best reliable supplier is the key to reduce purchasing cost, increase customer satisfaction and improve the competitive ability. In this study, we develop an order allocation model in multi echelon environment which includes supplier, manufacturer, and retailer. We consider transportation alternatives for the shipment from supplier to manufacturer and also the shipment from manufacturer to retailer. This model allows lateral transshipment between retailers. A Mixed Integer Linear Programming (MILP) is used to model the system. Sensitivity analysis is conducted at the end of the research. The result shows that the retailer demand, lead time, material variable price are sensitive to the objective function while the transportation costs from supplier to manufacturer, from manufacturer to retailers, and between retailers are not sensitive to the objective function. Retailer demand parameter is also sensitive to all decision variables. The transportation cost from supplier to manufacturer, material prices, and lead time are sensitive to the order allocation from manufacturer to supplier, while transportation cost from manufacturer to retailers and transportation cost between retailers are sensitive to the allocation of product sent from the manufacturer to retailers and the allocation of product sent between retailers.
A Framework for Sustainable Supplier Selection Integrating Grey Forecasting and F-MCDM Methods: A Case Study Enty Nur Hayati; Wakhid Ahmad Jauhari; Retno Wulan Damayanti; Cucuk Nur Rosyidi; Muhammad Hafidz Fazli Bin Md Fauadi
Jurnal Optimasi Sistem Industri Vol. 24 No. 1 (2025): Published in June 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n1.p63-83.2025

Abstract

Selecting appropriate suppliers is critical for healthcare organizations to ensure high-quality, reliable, and sustainable patient care services. In an increasingly competitive environment, hospitals must optimize supplier selection not only based on economic factors but also by integrating environmental and social sustainability considerations. This study aims to create a strong system for choosing sustainable suppliers in healthcare by combining fuzzy-based multi-criteria decision-making (MCDM) methods with Grey Forecasting GM(1,1) to handle uncertainty and changes in performance over time. The proposed framework applies the Fuzzy Best-Worst Method (F-BWM) to determine the relative importance of sustainability criteria, while the Fuzzy Additive Ratio Assessment (F-ARAS) method is used to rank suppliers based on these weighted criteria. Grey Forecasting GM(1,1) is employed to predict supplier performance for future periods, with forecasting accuracy evaluated through Mean Absolute Percentage Error (MAPE). All supplier forecasts achieved MAPE values below 5%, indicating very high prediction reliability. Empirical results from a case study at a general hospital in Indonesia confirm that social aspects, such as patient safety and reputation, are prioritized over economic and environmental considerations. Practically, the proposed framework enables healthcare institutions to holistically evaluate suppliers, specifically reducing risks related to supply disruptions and quality inconsistencies. The model performs best under conditions of limited or uncertain data availability, where supplier historical performance trends can be leveraged to forecast future reliability and sustainability outcomes. The prioritization of sustainability criteria yields social criteria (weight = 0.3703) as the most important, followed by economic (0.3609) and environmental (0.2688) criteria.
Supplier Selection and Order Allocation in A Pharmaceutical Wholesaler Hikmah Fadilla, Ryan; Rosyidi, Cucuk Nur; Jauhari, Wakhid Ahmad
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 27 No. 1 (2025): June 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.27.1.137-150

Abstract

Supplier selection is essential for any organization , as it plays a significant role in enhancing productivity. This study focuses on a local pharmaceutical wholesaler (PW) company, which places orders with other local PWs to meet its demand. Typically, pharmaceutical companies rely on multiple suppliers to satisfy their needs. However, due to an inadequate evaluation of supplier criteria, a Multi-Criteria Decision Making (MCDM) approach has been implemented to assist the PW in selecting superior suppliers and ensuring an efficient selection process. A key issue in this case study is the lack of a structured method for assessing supplier criteria, resulting in a subjective and lengthy selection process. The criteria for supplier selection encompass quality, flexibility, price, delivery, service, and supplier profile. Furthermore, alongside supplier selection, optimizing order allocation is essential for reducing purchasing costs while maximizing supplier scores. This research proposes a model designed to aid PW in addressing both supplier selection and order allocation challenges. The MCDM framework commences with the Best Worst Method (BWM) to establish the weight of each criterion. These weights then serve as input for the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), which ranks and prioritizes suppliers based on their evaluation scores. Subsequently, the results from TOPSIS inform the determination of optimal order allocation through a Multi-Objective Optimization (MOO) method. As part of the system modeling, a sensitivity analysis was performed to explore the effects of specific parameters on the objective function and decision variables, assessing variations in inventory costs, shortage costs, and demand. The findings indicated that only the demand parameter had a significant effect on decision variables, particularly regarding inventory levels and shortages. This research offers a comprehensive solution for the PW to tackle supplier selection and optimal order allocation. By employing MCDM and multi-objective optimization strategies, the company can achieve lower purchasing costs while selecting optimal suppliers based on their evaluation scores. The optimization model presented has dual objective functions: minimizing costs and maximizing total supplier value. Consequently, the model achieved a total purchasing cost of Rp. 340,196,740 and a total supplier value of 5,265,032.
The Development of Order Quantity Optimization Model for Growing Item Considering the Imperfect Quality and Incremental Discount in Three Echelon Supply Chain Sitanggang, Indah Valentinova; Rosyidi, Cucuk Nur; Aisyati, Azizah
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.101-110

Abstract

This research develops an optimization model for determining the order quantity for growing items by considering the imperfect quality and incremental discount by involving three supply chain members: farmers, processors, and retailers. The farmers are responsible for caring for the newborn items until they reach their ready-to-eat weight. The processors perform two roles, namely processing and screening. In the processing role, the processors process the grown items by a slaughtering and packaging process. Afterward, they inspected the processed items and categorized the items into good and poor quality. Finally, they shipped the end products to retailers. The retailers are responsible for selling good-quality items to the final consumers.  This research considers two kinds of poor quality. First is the poor quality of growing items in terms of mortality rate. The second is the poor quality of final products on the processor side. The processed items with poor quality are then sold to the secondary market at lower prices in one batch at the end of the period. This model also considers the incremental discounts offered by vendors to farmers and retailers to consumers for specific amounts of purchases. The model's objective function is to maximize the total supply chain profit, with the number of orders quantity, cycle time, and the number of batches delivery set as the decision variables. The sensitivity analysis results show that the most sensitive parameter in the model is the probability that the live items survive throughout the growth period.
A Goal Programming Model for Joint Decision Making of Order Allocation, Supplier Selection, and Carrier Selection Considering Corporate Social Responsibility Rosyidi, Cucuk Nur; Khasanah, Alfia Makrifatul; Laksono, Pringgo Widyo
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 1 (2022): June 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.1.45-52

Abstract

Every company aims to maximize its profit to survive and maintain business growth. However, it has to allocate some of the profit to the community development in the form of corporate social responsibility. Along with the importance of the development of Corporate Social Responsibility (CSR), many companies consider the social effects of their supply chain activities. In this paper, we address a problem determining the optimal order allocation, carrier selection, and the amount of CSR in a single product, multi-suppliers, and multiple periods environment. A goal programming model was developed to solve the problem by considering all-unit quantity discounts, the lateness of deliveries, and rejections. LINGO 18.0 was used to solve the model. The results of optimization show that all the goals are achieved. Based on the sensitivity analysis results, the proposed model is relatively insensitive to the goals of the profit and social value unless at the increases of 24% of both goals. For the goals of defect items and late delivery items, both goals affect the objective function when each goal is decreased. Hence, the decision-maker has to be careful in setting the goals.
A Multi-Objective Optimization Model for Home Health Care Routing and Scheduling with a Case Study Rosyidi, Cucuk Nur; Ramadandhyna, Annisa Puja; Laksono, Pringgo Widyo
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.131-140

Abstract

Home health care (HHC) is a health service provided by a hospital so that patients can be taken care of at their homes. Assigning multiple caregivers to serve patients during working hours is one of the main issues in HHC planning. In this study, multi-objective mixed-integer nonlinear programming was formulated for HHC daily planning. The model aims to simultaneously minimize total service time, total traveled distance, total cost comprising the opportunity loss from unvisited patients and penalty cost due to the violation of gender preference, and total carbon emissions generated by the caregiver’s vehicle. Using real data from Dr. Moewardi Hospital, a case study was provided in order to show the applicability of the model. The model can be utilized to assist the HHC coordinator in determining the optimal schedule and routing of HHC visits.
Perbaikan Tata Letak Fasilitas Produksi Incoming Material Menggunakan Systematic Layout Planning di PT. Pan Brothers Tbk Boyolali Kebela, Fuji Tori; Suhardi, Bambang; Rosyidi, Cucuk Nur; Adiasa, Iksan
Performa: Media Ilmiah Teknik Industri Vol 19, No 1 (2020): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.19.1.40093

Abstract

PT. Pan Brothers Tbk Boyolali merupakan perusahaan tekstil yang memproduksi berbagai macam pakaian olahraga. PT. Pan Brothers Tbk Boyolali memiliki beberapa permasalahan yang berkaitan dengan tata letak seperti ketiga jarak perpindahan terbesar yaitu perpindahan dari area warehouse table ke area before inspection sebesar 51,8 meter, perpindahan dari area rak roll kain ke area mesin c-tex sebesar 35 meter, dan perpindahan dari area before inspection ke area quality fabric table sebesar 34,8 meter. Semakin jauh jarak perpindahan barang semakin tinggi pula biaya material handling. Alasan lain perbaikan tata letak perlu dilakukan adalah seringnya dilakukan perubahan layout yang disebabkan oleh project dari atasan dan belumnya menggunakan metode apapun. Terjadinya penumpukan material roll kain yang disebabkan penempatan material ditaruh di gang yang membuat terhalangnya jalan perpindahan barang. Total waktu aktivitas produksi di incoming material melebihi waktu yang ditetapkan perusahaan yaitu 5 sampai 6 hari. Teknik pengumpulan data dalam penelitian ini yaitu dengan melakukan observasi secara langsung dan wawancara kepada pekerja. Dengan metode Systematic Layout Planning (SLP), dapat dihasilkan lebih dari satu alternatif solusi sehingga dapat dipilih mana yang terbaikan dalam penyelesaian masalah tata letak perusahaan, meminimumkan aliran material dan mempertimbangkan hubungan kedekatan, kebutuhan ruang dan ruang yang tersedia serta merupakan metode yang sederhana dan lebih mudah untuk diterapkan. Temuan hasil penelitian menunjukkan bahwa tata letak usulan 1 mampu memberikan penghematan biaya material handling sebesar 16,6 % atau Rp. 1.038,357 tata letak usulan 2 sebesar 22,2 % atau Rp. 1.387,150 dan tata letak usulan 3 sebesar 28,2 % atau Rp. 1.759,802
Penerapan Sistem Kontrol Kualitas dengan Mengunakan Model CNN Transfer Learning VGG 19 pada Inspeksi Kain di Industri Tekstil Hernandoko, Nauval; Laksono, Pringgo Widyo; Rosyidi, Cucuk Nur
Performa: Media Ilmiah Teknik Industri Vol 23, No 2 (2024): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.23.2.86589

Abstract

Industri tekstil dan produk tekstil (TPT) merupakan salah satu industri tertua di Indonesia. Tujuan industri ini dibangun awalnya yaitu untuk memenuhi kebutuhan dalam negeri dan ekspor. Kualitas produk dan produktivitas merupakan menjadi kunci keberhasilan sistem produksi dalam dunia industri. Hasil produk atau jasa yang memiliki kualitas tinggi menjadi faktor utama agar industri tersebut dapat bersaing dalam bisnis serta prospek jangka panjang. Adanya kontrol kualitas secara otomatis akan membantu dalam pekerjaan bagian inspeksi karena dalam industri tekstil proses inspeksi dilakukan tanpa teknik sampling sehingga kualitas inspeksi yang dilakukan manusia akan menurun seiring waktu inspeksi yang semakin banyak. Hasil dari penelitian ini yaitu model CNN VGG19 dapat dijadikan sebagai model untuk otomatisasi proses inspeksi yang dilakukan di industri tekstil karena akurasi testing yang mencapai 88% serta tidak terjadinya overffiting dalam proses training validation.
Co-Authors Akbar, Reza Rizkichani Anindya Rachma Dwicahyani Aqidawati, Era Febriana Ashylla Maharani Azizah Aisyati Bambang Suhardi Bin Yusoff, Ahmad Razlan Dwicahyani, Anindya Rachma Eko Pujiyanto Enty Nur Hayati Erina Annastya Octaviani Fatmawati, Ani Fawzi Zamria, Mohd Fitria Ramadhani Hendix, Andreas Wegiq Adia Hernandoko, Nauval Hikmah Fadilla, Ryan Hutomo, Ricky Iksan Adiasa Irwan Irwan Kebela, Fuji Tori Khasanah, Alfia Makrifatul Muhammad Faizal Muhammad Hafidz Fazli Bin Md Fauadi Nariswari, Nanda Lokita Nina Salsabila Sulistiani Nor Sufyan Sudin, Mohd Pringgo Widyo Laksono Pringgo Widyo Laksono Pujiyanto, Eko Ramadandhyna, Annisa Puja Retno Wulan Damayanti Retno Wulan Damayanti Reza Rizkichani Akbar Sejati, Nelita Putri Sitanggang, Indah Valentinova Sulistiani, Nina Salsabila Wakhid Ahmad Jauhari Wakhid Ahmad Jauhari Winarno Winarno Yusuf Priyandari