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All Journal Jurnal Teknik Industri Jurnal Gamma Jurnal Rekayasa Sistem Industri SPEKTRUM INDUSTRI Journal of Engineering and Management in Industrial System Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal Sistem dan Manajemen Industri Jurnal Ilmiah Universitas Batanghari Jambi PERFORMA : Media Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal SOLMA Dinamisia: Jurnal Pengabdian Kepada Masyarakat JAST : Jurnal Aplikasi Sains dan Teknologi Jurnal INTECH Teknik Industri Universitas Serang Raya KOMPUTEK JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Otopro Buletin Profesi Insinyur JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri JURNAL TEKNIK INDUSTRI Journal of Applied Mechanical Engineering and Renewable Energy (JAMERE)
Annisa Kesy Garside
Fakultas Teknik, Jurusan Teknik Industri, Universitas Muhammadiyah Malang
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Integration of Analytic Network Process and PROMETHEE in Supplier Performance Evaluation Muhammad Alif Ihsan; Annisa Kesy Garside; Rahmad Wisnu Wardana
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.p46-54.2022

Abstract

Supplier performance evaluation is one of the important factors in the supply chain because it is one of the company's strategies for increasing customer satisfaction and also maintaining the company's services in meeting consumer demand. This study proposes the integration of the Analytic Network Process (ANP) and the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to evaluate supplier performance. The integration of the two methods is proposed to obtain more complex assessment results because the combination of the two methods considers various criteria derived from ANP and various preferences from PROMETHEE, so both methods are very good to use instead of using just ANP or PROMETHEE or other methods. ANP exhibit more complex relationships between criteria and levels in the decision hierarchy, while PROMETHEE provides decision-makers with flexible and straightforward outranking to analyze multi-criteria problems. In this study, ANP is used to weight the criteria, and PROMETHEE is used to rank suppliers in evaluating supplier performance. Integrating these two methods provides more objective and accurate results in multi-criteria decision-making. The proposed method is validated by solving an industrial case of supplier evaluation problem using the real data from the skewer industry. Finally, some useful implications for managerial decision-making are discussed.
Particle Swarm Optimization Algorithm to Solve Vehicle Routing Problem with Fuel Consumption Minimization Baiq Nurul Izzah Farida Ramadhani; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 20 No. 1 (2021): Published in April 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.048 KB) | DOI: 10.25077/josi.v20.n1.p1-10.2021

Abstract

The Conventional Vehicle Routing Problem (VRP) has the objective function of minimizing the total vehicles’ traveling distance. Since the fuel cost is a relatively high component of transportation costs, in this study, the objective function of VRP has been extended by considering fuel consumption minimization in the situation wherein the loading weight and traveling time are restricted. Based on these assumptions, we proposed to extend the route division procedure proposed by Kuo and Wang [4] such that when one of the restrictions can not be met the routing division continues to create a new sub-route to find an acceptable solution. To solve the formulated problem, the Particle Swarm Optimization (PSO) algorithm is proposed to optimize the vehicle routing plan. The proposed methodology is validated by solving the problem by taking a particular day data from a bottled drinking water distribution company. It was revealed that the saving of at best 13% can be obtained from the actual routes applied by the company.
Penjadwalan Flow Shop untuk Meminimasi Total Tardiness Menggunakan Algoritma Cross Entropy–Algoritma Genetika Dana Marsetiya Utama; Leo Rizki Ardiansyah; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
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.v18.n2.p133-141.2019

Abstract

Flow shop scheduling problems much studied by several researchers. One problem with scheduling is the tardiness. Total tardiness is the performance to minimize tardiness jobs. it is the right performance if there is a due date. This study proposes the Cross-Entropy Genetic Algorithm (CEGA) method to minimize the mean tardiness in the flow shop problem. In some literature, the CEGA algorithm is used in the case of minimizing the makespan. However, CEGA not used in the case of minimizing total tardiness. CEGA algorithm is a combination of the Cross-Entropy Algorithm which has a function to provide optimal sampling distribution and Genetic Algorithms that have functions to get new solutions. In some numeric experiments, the proposed algorithm provides better performance than some algorithms. For computing time, it is affected by the number of iterations. The higher the iteration, computing requires high time.
Pengurangan Bullwhip Effect dengan Metode Vendor Managed Inventory Fenny Rubbayanti Dewi; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
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.v14.n2.p292-298.2015

Abstract

Information distortion caused PT Multi Sarana Indotani got higher demand than the distributor. Demand variability in each echelon of the supply chain (bullwhip effect) may occur due to lack of demand stability that the producer had difficulty in determining the amount of production. One of the collaboration methods that can be applied to overcome the information distortion as causes of the bullwhip effect is vendor managed inventory, where the needs of distributor and retailers monitored and controlled by the producer. In this case, vendor managed inventory applied to two echelons, producer, and distributor.
A Modified Camel Algorithm for Optimizing Green Vehicle Routing Problem with Time Windows Utama, Dana Marsetiya; Safitri, Wa Ode Nadhilah; Garside, Annisa Kesy
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.24.1.23-36

Abstract

In recent years, the issue of fuel depletion has become a significant problem in the world. The logistics sector is one of the sectors with an increase in fuel consumption. Therefore, route optimization is one of the attempts to solve the problem of minimization fuel consumption. In addition, this problem generally also has time windows. This study aimed to solve the Green Vehicle Routing Problem with Time Windows (GVRPTW) using the Camel Algorithm (CA). The objective function in this problem was to minimize the total cost of distribution, which involves the cost of fuel consumption and the cost of late delivery. The CA parameter experiment was conducted to determine the effect of the parameter on distribution cost and the computation time. In addition, this study also compared the CA algorithm's performance with the Local search algorithm, Particle Swarm Optimization, and Ant Colony Optimization. Results of this study indicated that the use of Camel population parameters and the total journey step affected the quality of the solution. Furthermore, the research results showed that the proposed algorithm had provided a better total distribution cost than the comparison algorithm.
Co-Authors Adelya Amanda Adhi Nugraha Adhi Nugraha Ahmad Zamawi Ghozali Alfian Alif Amelia Khoidir Andita Nataria F.G. ANDRI SULAKSMI ANDRI SULAKSMI, ANDRI Anindia Karunia Pangesti Aprilianti, Chusnul Azhar Adi Darmawan Bachri, Affan Baiq Nurul Izzah Farida Ramadhani Baiq Nurul Izzah Farida Ramadhani Baya’sud, Faris Cahyanti, Dian Nur Chairil Saleh Chusnul Aprilianti Dana Marsetya Utama Dian Nur Cahyanti Dian Palupi Restuputri Eduardo e Oliveira Ella Dewi Krisnanti Elya Rosiana Ernawan Setyono Fenny Rubbayanti Dewi Ferly Isnomo Abdi Fibriani, Lenny Firman Yasa Utama FITHRIANY HADZIQAH FITHRIANY HADZIQAH, FITHRIANY Fitra Risaldi Fuad Bahrul Ilmi Gigih Amayu Pragastio Hanny Kanavika Rizky Munawar Harto, Setyo Hasyim Yusuf Asjari Hasyim Yusuf Asjari, Hasyim Yusuf Heri Mujayin Kholik Ikhlasul Amallynda Ikhlasul Amalynda Iswanda, Dovian Junaidi, Mahbub Laili, Nabila Rohmatul Laksono, Arief Budi Lapele, Sukmawati Leo Rizki Ardiansyah Lukman, Mohammad Marrica Ahmad Marrica Ahmad Martina Juan Martina Juan, Martina Mohammad Irfan Muhamad Lukman Muhammad Alif Ihsan Muhammad Helmi Kurniawan Munawar, Hanny Kanavika Rizky Nabila Rohmatul Laili Nadia Mardhiyah Nasution, Riven Nyimas Mirnayanti Jayasari Sutadisastra Ode Rapija Gunarimba Waibo Pangesti, Anindia Karunia R. Hadi Wahyuono R. Hadi Wahyuono Rachman, Hamim Rahmad Wisnu Wardana Rara Putri Ayuning Tyas Renggarsari, Rika Risma Riven Nasution Sabrina Legtria Wardani Safitri, Wa Ode Nadhilah Sanjaya , Wahyu Eka Putra Sanjaya, Wahyu Eka Putra Santoso, Eko Wahyu Satya Sudaningtyas Satya Sudaningtyas Selsa Ulfia Siswanti Setyo Harto Shanty Kusuma Dewi Teguh Baroto Thomy Eko Saputro Tiananda Widyarini Tiananda Widyarini Tyas Yuli Rosiani Tyas Yuli Rosiani Wahyu Wicaksono Wardana , Rahmad Wisnu