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Jurnal Optimasi Sistem Industri

JOSI
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Published by Universitas Andalas

ISSN : 20884842 EISSN : 24428795 DOI : -

Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Jurnal Optimasi Sistem Industri (JOSI) is a peer-reviewed journal that is published periodically (April and October) by the Department of Industrial Engineering, Faculty of Engineering, Universitas Andalas, Padang.

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Articles 394 Documents

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A Decision Support System to Achieve Self-Sufficiency of Soybean (Case: Central Java Province, Indonesia) Muhammad Hisjam; Nancy Octyajati; Wahyudi Sutopo; Ahad Ali
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in October 2020
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.v19.n2.p144-156.2020

Soybean self-sufficiency in Central Java Province is a problem that is difficult to realize at this time. As an important commodity, self-sufficiency becomes a serious concern for the government. Supply chain management of soybean is related to the integration of supply, demand, and distribution of soybean. The characteristics of entities involved in the soybean supply chain are complex, dynamic, and probabilistic that make the problem cannot be solved using an analytical model and it becomes too risky for trial and error. A suitable tool is using a simulation model. This paper deals with developing a Decision Support System (DSS) using a simulation model that will assist the government in adopting policies in order to achieve self-sufficiency of soybean and the improvement of farmer's welfare. DSS will help decision-makers to try various scenarios of policy in an easy way. The method was started with developing model components, then decision components, and next creating user interfaces. The simulation and system modeling is created by using Powersim software with the intent to obtain the simulation and single document interface (SDI) of the supply chain model. The result shows that land expansion policy is a top priority for realizing food self-sufficiency while increasing productivity and reducing costs of agricultural activities are the main priorities for improving the welfare of farmers.

Overall Equipment Effectiveness Analysis Using Discrete Event Simulation at Table Tennis Table Manufacturer Yuniaristanto; Iqbal Wahyu Saputra; Muhammad Hisjam
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in October 2020
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.v19.n2.p157-165.2020

To measure the performance of the production process, an efficiency calculation is performed using the Overall Equipment Effectiveness (OEE) method. OEE can measure various production losses and identify potential developments that can be carried out in a production process. This research is expected to be an input to improve production efficiency. The results of overall equipment effectiveness are then performed using Discrete Event Simulation, which built using STELLA Architect. The result shows that their overall equipment effectiveness scores are below the company goals, and performance rate is their lowest score. These simulation results are expected to be a basis for improvements in the production division, especially at Table Tennis Table Manufacturer.

Analisis Penggunaan Alat dan Teknik Pengendalian Mutu dalam Penerapan Sistem Manajemen Mutu pada Perusahaan Karet Bersertifikat ISO 9001:2008 Nofriani Fajrah; Nilda Tri Putri
Jurnal Optimasi Sistem Industri Vol. 15 No. 2 (2016): Published in November 2016
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.v15.n2.p203-216.2016

The increasing competition in the global market and high consumer expectations for quality products, encourage companies to be able to produce quality products which meets international standards. One of the activities in improving quality that conform to product specifications is applying appropriate quality control system involving all aspects of the company that are integrated with the standard ISO 9001: 2008 as a guide. However, the rubber industry in West Sumatra still faces obstacles in the implementation of quality control techniques and tools of as experienced by ABC and XYZ. This study aimed to evaluate the application of quality control tools and techniques in the manufacturing company which is certified ISO 9001: 2008, ABC and XYZ. This research was conducted by calculating the value of DPMO (Defect Per Million Opportunities). Based on the results found that the two companies have different DPMO value. PT ABC obtained by 5,2σ sigma level from DPMO value of 94.33 for the types of defects whitespot and sigma level of 4,2σ of DPMO value of 3365.096 to defect type of metal, while the XYZ obtain sigma level of 5,3σ from DPMO value of 728.697 for the types of defects whitespot and sigma level of 4,8σ of DPMO value of 425.441 for the type of metal defects. From the analysis it can be concluded that the two companies have not been effective in applying the techniques and tools of quality control in accordance with the standards ISO 9001: 2008 in order to achieve continuous quality improvement. This is indicated by the key success factor of the implementation techniques and tools of quality control is not applied appropriately in achieving continuous quality improvement.

Do Job Boredom and Distress Influence Self-Report Individual Work Performance? Case Study in an Indonesia Muslim Fashion Industry Auditya Purwandini Sutarto; Nailul Izzah
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in May 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

A creative and innovative workforce is a key determinant of the sustainability of the fashion industry in a highly competitive market. Such characteristics have been linked to employees’ well-being. This study aimed at examining to what extent the employees’ boredom, stress, and work performance levels in a medium-scale Muslim fashion Industry. We employed a cross-sectional study design by administering a set of questionnaires consisting of the Dutch Boredom Scale; Depression, Anxiety, and Stress Scale; and Individual Work Performance in a total sampling of 75 female workers. The association between key variables and demographic factors was analyzed using non-parametric tests while the relationship between boredom, stress, and work performance was analyzed using the regression. Less-educated employees reported more stress and lower work performance while their boredom levels were similar, compared to their counterparts. Job boredom and stress were higher among newly hired employees but no significant difference in self-reported productivity between the two job experience groups was observed. There are also no differences in job boredom, stress, and work performance between sales and non-sales groups. Our regression model shows that job boredom and stress were significant predictors to work performance after controlling age, education, job experience, and type of occupations. These findings support the importance of improving employees’ well-being for better individual performance which may, in turn, lead to any tangible organizational outcomes. Regardless of the case study design, our study may provide insights for other industrial sectors and beyond the context of small and medium enterprises.

Feasibility Study of Canned Smoked Fish as the Micro Enterprises in South Sumatra Province, Indonesia Hasmawaty; Christofora Desi Kusmindari; Muhammad Faizal
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in May 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

This paper analyzes several aspects (technical, marketing, economic, social, and financial) of canned smoked fish (Pangasius) as a micro-industry in South Sumatra Province, Indonesia. This article adopts mix-methods. A quantitative method is used to explain technical, marketing, economic, and financial aspects, while the social aspect is explained using a qualitative method. The author collects the Pangasius species sample from nine districts in South Sumatra Province for the technical aspect. This sample transformed into canned smoked fish using several steps: preparation, making and cooking, filling process, exhausting, sealing sterilization, and cooling process. The author also collects secondary data and interviews several key informants to analyze the non-technical aspect of the canned smoked fish industry. A canned smoked fish (Pangasius) has excellent potential to develop as a micro-enterprise in South Sumatra, Indonesia. In the long-term, it could be an instrument for the local government to increase citizens' well-being based on local resources and penetrate the ASEAN free trade area. In a short time, it could be an instrument for the local government to manage the economic effect of COVID-19 in South Sumatera, Indonesia. This study could be a baseline for the government to create a policy for developing the smoked fish industry. The result of this study could be a second opinion in planning capital investment within the smoked fish industry at the SSP for the investor and the entrepreneur.

Optimization of Gear Manufacturing for Quality and Productivity Thobadingoe Craven Phokane; KAPIL GUPTA; Cristina Anghel
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in May 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Multi-objective optimization in manufacturing can effectively be solved using Multicriteria decision-making (MCDM) techniques. This paper presents the implementation methodology of the Fuzzy-MOORA hybrid technique for multi-objective optimization in laser machining of stainless-steel gears. Further, simultaneous optimization of gear quality and process productivity have been reported. Four important laser parameters, i.e., laser power, cutting speed, focal position, and gas pressure, have varied during twenty-nine experiments to machine gears by a laser process. The quality of miniature gear was measured in terms of average surface roughness, mean roughness depth, and dimensional deviation. The productivity of the laser machining process was estimated via material removal rate. An optimum set of laser machining parameters obtained after Fuzzy-MOORA optimization is laser power 2000 W, cutting speed 3 m/min, focal position -2.5 mm, and gas pressure 16 bar. This work encourages researchers and scholars to make further attempts using such MCDM techniques to develop intelligent processes in industrial and manufacturing engineering.

Inventory Policy for Retail Stores: A Multi-Item EOQ Model Considering Permissible Delay in Payment and Limited Warehouse Capacity Roland Y. H. Silitonga; Ester E. L. Br Sembiring
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in May 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The retail industry such as minimarkets has many products consisting of several types of products that have expiration dates. Their warehouses have limited capacity, making it difficult to make decision about optimum inventory. Most of the suppliers will give permissible delay in payment, that can be used to increase income potential through earned by considering the risk of fines imposed if payments are exceeded and help companies raise capital before generating sales. These three factors must be considered when developing the inventory model. The purpose of this study is to develop a multi-item inventory model by considering perishable or damaged products, permissible delay in payment in limited warehouse. Model development is carried out in 2 stages. The first stage was the development of a multi-item EOQ model by considering product defects and permissible delay in payment. The second stage model is by adding a capacity constraint factor to the model. The results obtained are getting the optimal order quantity by considering the number of product types, product damage factors, late payments in limited warehouses, the best ordering policy can be found, and it is known that the total inventory costs to changes in parameters are good and sensitive to changes in percentage, interest percentage, payment allowances, and warehouse capacity through sensitivity tests.

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 May 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

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.

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 May 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

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.

Application of Genetic Algorithms to Solve MTSP Problems with Priority (Case Study at the Jakarta Street Lighting Service) Sugih Sudharma Tjandra; Fran Setiawan; Hanoum Salsabila
Jurnal Optimasi Sistem Industri Vol. 21 No. 2 (2022): Published in November 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.n2.p75-86.2022

Transportation is one thing that is very important and is the highest cost in the supply chain. One way to reduce these costs is to optimize vehicle routes. The Multiple Traveling Salesman Problem (MTSP) and Capacitated Vehicle Routing Problem (CVRP) are models that have been extensively researched to optimize vehicle routes. In its development based on actual events in the real world, some priorities must be visited first in optimizing vehicle routes. Several studies on MTSP and CVRP models have been conducted with exact solutions and algorithms. In a real case in the Jakarta City Street Lighting Section, the problem of determining the route in three shifts is a crucial problem that must be resolved to increase worker productivity to improve services. Services in MCB (Miniature Circuit Breaker) installation and maintenance activities for general street lights and priority is given to light points that require replacement. Because, in this case, the delivery capacity is not taken into account, the priority of the lights visited is random, and the number of street light points is enormous, in this study, we use the MTSP method with priority and solve by a genetic algorithm assisted by the nearest neighbor algorithm. From the resolution of this problem, it was found that the travel time reduction was 32 % for shift 1, 24 % for shift 2, and 23 % for shift 3. Of course, this time reduction will impact worker productivity so that MCB installation can be done faster for all lights and replace a dead lamp.

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Rika Ampuh Hadiguna

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Journal Mail Official
hadiguna@ft.unand.ac.id

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Location
Kota padang,

Sumatera barat

INDONESIA