Analisis cycle time proses perakitan senjata di PT Pindad (Persero)

This paper aims to analyze the cycle time of the assembly line of one of the weapons products at PT. Pindad (Persero) and to explore the effective methods to improve its performance. The method used is a quantitative analysis of assembly data involving 155 components and 56 tasks distributed over 43 work stations, accompanied by document analysis, especially on scientific literature, to elaborate various appropriate methods to become solutions to the problems encountered. The results show that almost all workstations had a cycle time greater than the takt time. It is also known that there is an imbalance of existing workstations, with the lightest workload lasting 67 seconds while the largest workload lasting 253 seconds. The results of the elaboration of the literature show that several potential methods can provide solutions to the problems encountered by considering the characteristics of the assembly line with a straight-line configuration. This study contributes to the literature by analyzing cycle times and assembly line balances in the defense industry relatively rarely studied in Indonesia.

Perancangan stasiun kerja instruktur laboratorium desain produk dan inovasi menggunakan metode ergonomic function deployment

The Product Design and Innovation Laboratory (Desprin), Faculty of Technology, Institute of Technology is a necessary facility in an effort to support the implementation of an educational process that implements a competency-based curriculum. This study aims to produce an ergonomic instructor workstation design in the laboratory by applying the Ergonomic Function Deployment (EFD), 12 ergonomic principles, and anthropometric data with the 5-95th percentile with selecting concepts from several concepts that have been designed. The final result of this research is a workstation design in the form of a drawing table, computer desk, and instructor chair designed using Solidworks 2018 software. The drawing table can be folded when not in use and attached to a computer table so that user movement is more effective and the selected chair is able to work synergistically with the two tables.

Penerapan pendekatan ergonomi total dalam menurunkan kelelahan kerja: Studi literatur

Work fatigue is one of the factors that affect occupational health and safety. To create a good quality of occupational health, an approach that can be applied to reduce work fatigue is needed, so that good work performance can be achieved. The purpose of this study was to carry out a systematic literature study to determine the application of the Total Ergonomics Approach in reducing worker fatigue. This literature study is useful for explaining the Total Ergonomic Approach model, fatigue measurement instruments, and various improvement interventions carried out in various fields of work. The research method used is a systematic literature study through databases such as Google Scholar, Science Direct, Researchgate, and the Indonesian Scientific Repository-Neliti, using the keywords total ergonomics approach and work fatigue. The Total Ergonomic Approach Model was found to obtain optimal repair solutions, in the fields of industrial work, agriculture, education and hospitality, and others. Improvement interventions developed include improving work attitudes, working conditions, providing nutrition, and redesigning work tools. The measurement of work fatigue in all literature was carried out using a questionnaire instrument. Based on this literature study, there is a research gap to develop a model of a total ergonomics approach in the transportation sector to reduce logistics driver fatigue and to develop an objective and real-time fatigue measurement instrument. So that it can produce a contribution to creating quality health and safety for logistics drivers.

Analisis bullwhip effect dalam sistem rantai pasok pada produk Abon dan Dendeng Sapi Asri

One of the obstacles facing micro, small and medium-sized enterprises (MSMEs) in Indonesia is the bullwhip effect. The bullwhip effect is an event that occurs in the supply chain due to an increase in order fluctuations or order cancellations due to information distortions. This study aims to determine the value of the bullwhip effect and explain the main causes of its occurrence in order to explain about the approach to reducing the bullwhip effect in micro, small and medium-sized enterprises (MSMEs) in Indonesia that operational management can be maximized through operational management. This study uses quantitative methods to determine the value of the bullwhip effect. And qualitative methods are used to identify the root cause and reduction of the bullwhip effect. With primary data from interviews. In addition, secondary data comes from demand data and order data on products for distributors and retailers managed by the company. The results showed that the value of the bullwhip effect on the product at one of the micro, small and medium-sized enterprises (MSMEs) in Indonesia was almost completely above 1.00 and above the specified parameters. This provides information that there is a product bullwhip effect in one of the micro, small and medium-sized enterprises (MSMEs) in Indonesia. Meanwhile, the main cause of the bullwhip effect in one of the smallest, small and medium-sized enterprises (MSMEs) in Indonesia is a demand forecast error.

Framework pengukuran kinerja rantai pasok industri kemasan plastik menggunakan metode SCOR-AHP

The manufacturing industry in general cannot be separated from the role of the plastic industry. In Indonesia, there are 925 companies that produce various kinds of plastic products for the food and beverage industry, automotive industry, pharmaceutical industry and other industries. Companies are faced with challenges to improve their supply chain competitiveness, while plastic packaging companies generally do not have a comprehensive performance measurement framework in their supply chains. The purpose of this research is to select and determine the level of importance of the Key Performance Indicator (KPI) for measuring the supply chain performance of the plastic packaging industry using the SCOR and AHP framework. In the initial stage, 45 KPIs were identified, from the results of expert validation, 29 KPIs were distributed to the dimensions of reliability, responsiveness, flexibility, cost, and assets. At the level 1 hierarchy the greatest level of importance is generated in the dimensions of reliability (A1), asset management (E1), responsiveness (B1), cost (D1), and flexibility (C1) with weights of 0.262, 0.209, respectively. 0.191, 0.175, and 0.163. The largest distribution of KPIs is on the reliability dimension, namely 32%, followed by the cost dimension of 16%, 12% responsiveness, flexibility and asset management have the same distribution, namely 4%. Based on the results of weighting using the AHP method, a supply chain performance measurement framework is recommended in the case of the plastic packaging industry.

Penerapan p-Median terhadap optimasi alokasi dan lokasi distribution center pada Sistem Logistik Pedesaan di Indonesia

Every village has Village Superior Products (Prudes) which have economic value that can advance the economy of rural communities. However, the consolidation of the Prudes results is still not optimal, it can be seen from the poverty rate in rural areas which is still high when compared to the level of poverty in the city. To overcome this, it requires the efficiency and effectiveness of distribution centers in rural supply chain systems in order to consolidate the Prudes products from a number of villages to a number of customers/consumers. However, the main problem is how many distribution centers are needed and where are the distribution centers located in an area that has the same type of Prudes. Therefore, the aim of this research is to find the best location P from a number of candidates distribution centers (N = 59 villages) where P ≤ N. To achieve the objectives of this study, the P-Median method is used with the help of AMPL software as a data processing tool. in order to complete the model of the P-Median. The objective function of the P-Median model is to find the minimum value of the total cost based on distance (), production volume (), shipping costs (), and fixed cost () at a number of DC facilities. In the process before the completion of the P-Median model, the approach is first carried out proximity analysis which consists of the pre-qualification and qualification processes in determining candidate facility candidates distribution center. This approach was taken to cover the limitations of APML software in processing data. The result of this research is that the optimal number of DC facilities in five DC facilities with a total cost minimum of IDR 91.80 billion. Meanwhile, the facilities are distribution center located in the village of Sanuanggamo, North Tongauna District (P11), Awuliti Village, Lambuya District (P17), Mumundowu Village, Pondidaha District (P36), Duriasi Village, Wonggeduku District (P44), and Puday Village, West Wonggeduku District (P53).

Integrasi Linear Regression dan Aggregate Planning untuk Perencanaan dan Pengendalian Produksi Leaf Spring Hino OW 190/200 di Industri Komponen Otomotif

Production planning and control in a manufacturing company involves all production activities from raw material requirements to finished products. The Jakarta Automotive Components Industry is engaged in manufacturing which produces leaf spring products that are sent to several regular customers, namely the Automotive Assembly Industry. Leaf spring Hino OW 190/200 is the type of spring ordered and shipped to PT. HMMI. Based on data for the January-December 2019 period, the demand for Hino OW 190/200 leaf spring has fluctuated quite significantly. The purpose of this study was to plan and control the production process of Leaf Spring Hino OW 190/200. Forecasting for the next 12 periods is based on demand plots from the previous 12 periods, calculating the Aggregate production plan, determining the Master Production Schedule (MPS), calculating raw material requirements using the Hybrid and Lot for Lot methods. The results showed that to support the smooth production, it can be seen that the production planning for forecasting calculations using the Linear Regression method generates a model Y=319,575+3,723X. Calculation of the need for main raw materials and components in 2020 uses the Hybrid and Lot for Lot method, which is 256,182.88 kg, much smaller than the company's calculations based on 2019 data, namely 259,827.40 kg.

Implementation of statistical process control for quality control cycle in the various industry in Indonesia: A systematic literature review

A systematic literature review is a rigorous method of assessing and combining research results compared to the usual literature review, which consists of annotated bibliographies, a systematic review of the existing literature regarding specific research questions on a topic of interest. Statistical Process Control (SPC) is a well-established technique in a context that has recently been used in software production. Software production is not like manufacturing because it requires more human resources and machines, resulting in an item's one-time production. It is therefore essential to assess what SPC works in a software context. Thus, this consideration has motivated us to define and conduct an evaluation review to assess whether SPC is used effectively and genuinely Quality Control Cycle (QCC) in Indonesia's various industries. According to a systematic literature review process, an established protocol was revised and refined by the authors. This journal collection of journals has been used in various industries in Indonesia. We report our preliminary considerations and results in a systematic review on the SPC and find 30 journals collected as references for readers in making research journals related to SPC. Our products and first impressions are favorable. This journal collection can also make it easier for researchers to get the desired journal references.

Penerapan Balanced scorecard untuk meningkatkan kinerja Perbankan Syariah Sumatera Utara

Islamic banking has enormous potential considering that Indonesia has the largest Muslim population in the world. The current performance measurement system for Islamic banks is still financial and non-financial, and there is an imbalance in the actual value of the company because it views financial and non-financial measurements as two important things that are not correlated. A comprehensive performance measurement system is urgently needed considering that Islamic banks must be able to follow market developments, such as the Balanced Scorecard. The aim of this research is to analyze the influence of the financial, customer, internal business, learning, and growth perspectives. Analyze which perspective is the most dominant in influencing the management performance of Islamic Banks. The results of the current research are Islamic banks in the growth stage towards the sustainability stage because they are supported by the application of goal-setting theory. Increasing employee performance satisfaction can be achieved by implementing an optimal system of leadership, motivation, and work spirit. This can be shown by the success of Islamic Banks in getting several awards from the business media.

Implementation of machine learning to increase productivity in the manufacturing industry: a literature review.

Industry 4.0 is currently developing quite rapidly, one of the technologies that is currently very popular in the industry is artificial intelligence, where an event can be diagnosed and predicted more quickly and accurately. One of the branches of artificial intelligence that can do this is Machine Learning, and its application can now be found in daily activities. In the manufacturing industry, the application of Machine Learning is one of them is to increase productivity through the results of analysis and predictions given based on the experience gained. This study uses a systematic literature review method, in which several articles were collected from several journal databases such as Elsevier, IEE, Springer, Taylor & Francis and ACM, with the publication period of the articles from 2015 to 2020. A total of 100 articles were collected, then re-validated. suitability based on the main goals and objectives of the research. There were 36 articles that were validated and used as a reference for a more in-depth review and analysis of their boundaries, so that there was a gap for further research. In this literature review study, its application is very helpful in making decisions in improving the quality, efficiency, and performance of companies in the manufacturing industry. The most popular algorithms used in this study include random forest, support vector machine, neural network, linear regression, and k-nearest neighbor. Finally, in this study it was found that the application of Machine Learning in diagnosing or predicting an event is suggested by modeling more than one algorithm to find and determine which algorithm is the most accurate and suitable to be applied to the phenomenon that occurs.