Shoe Manufacturing Research Articles

Pengaruh HRM Keadilan Organisasi, Manajemen Konflik, Etika Organisasi Terhadap Hubungan Karyawan dengan Intervening Iklim Kepercayaan

In the modern corporate environment, organizational justice, effective conflict management, and strong ethics are crucial elements in creating harmonious and productive employee relationships. The purpose of this research is to find out how HRM influences organizational justice, conflict management, organizational ethics on employee relations with the intervening climate of trust. This research was conducted at the XYZ company which operates in the shoe manufacturing sector located in Pasar Kemis Tangerang. Descriptive – correlative research design with quantitative methods and using purposive sampling techniques which were distributed via (google form) to 275 respondents aged 18 – 60 years who worked in the production section of the company. Primary data analysis was carried out using the Partial Least Square - Structural Equation Modeling (PLS-SEM) method. The conceptual model was analyzed using Structural Equation Modeling. The findings of this research reveal that organizational justice has a positive influence on employee relationships, management has a positive influence on employee relationships, organizational ethics has a positive influence on employee relationships, organizational justice has a positive influence on the climate of trust, conflict management has a positive influence on the climate of trust. , organizational ethics has a positive influence on the climate of trust, climate of trust has a positive influence on employee relations, climate of trust mediates the relationship between organizational justice and employee relations, climate of trust does not mediate the relationship between conflict management on employee relations and climate of trust does not mediate the relationship between organizational ethics on employee relations.

Olah Fasad sebagai Upaya untuk Mencapai Kenyamanan Termal pada Omahdawa di Surabaya

Title: Study of The Development of Kawasan Sentra Sepatu Cibaduyut Oriented to Shopping Tourism Attraction Kawasan Sentra Sepatu Cibaduyut has a history as a shoe hub Kecamatan Bojongloa Kidul of Bandung City. In 1989, the Government of the Republic of Indonesia officially designated the Kawasan Sentra Sepatu Cibaduyut as a tourist attraction. As a tourist destination, this must consider crucial aspects that influence shopping tourism activities, such as tourism concepts and elements affecting shopping tourism activities. This research focuses on shopping tourism activities in Kawasan Sentra Sepatu Cibaduyut, conducting in-depth interviews with key subjects involved in tourism activities, including shoe manufacturers, shoe material vendors, shoe retailers, and local visitors as research subjects in shopping tourism activities. The interview results are then used to assess the elements of shopping tourism activities within the framework of the fundamental 3A tourism component, which includes attractions, amenities, and accessibility. The synthesis of 3A tourism components with respondent preferences as a result of interviews became the alternative design for developing shopping tourism attractions in Kawasan Sentra Sepatu Cibaduyut. This research has resulted in proposed planning points and the design of new tourist points and activities in Kawasan Sentra Sepatu Cibaduyut, oriented toward shopping tourism attractions.

Kajian Pengembangan Kawasan Sentra Sepatu Cibaduyut yang Berorientasi pada Daya Tarik Wisata Belanja

Title: Study of The Development of Kawasan Sentra Sepatu Cibaduyut Oriented to Shopping Tourism Attraction Kawasan Sentra Sepatu Cibaduyut has a history as a shoe hub Kecamatan Bojongloa Kidul of Bandung City. In 1989, the Government of the Republic of Indonesia officially designated the Kawasan Sentra Sepatu Cibaduyut as a tourist attraction. As a tourist destination, this must consider crucial aspects that influence shopping tourism activities, such as tourism concepts and elements affecting shopping tourism activities. This research focuses on shopping tourism activities in Kawasan Sentra Sepatu Cibaduyut, conducting in-depth interviews with key subjects involved in tourism activities, including shoe manufacturers, shoe material vendors, shoe retailers, and local visitors as research subjects in shopping tourism activities. The interview results are then used to assess the elements of shopping tourism activities within the framework of the fundamental 3A tourism component, which includes attractions, amenities, and accessibility. The synthesis of 3A tourism components with respondent preferences as a result of interviews became the alternative design for developing shopping tourism attractions in Kawasan Sentra Sepatu Cibaduyut. This research has resulted in proposed planning points and the design of new tourist points and activities in Kawasan Sentra Sepatu Cibaduyut, which are oriented toward shopping tourism attractions.

On Optimization of Factory Space Configuration

In factories, spatial configuration plays an important role in order to improve workers’ comfort which will result in maximising the productivity and at last will contribute to economy generation. With the goal of identifying the major variables influencing shoe factories' spatial layout choices, this study explores the spatial arrangement and organization of shoe factories. By analyzing a cluster of shoe manufacturing plants located in Agra in India through site visit and international case studies in Bangladesh, this study examines how factors such as workflow process, machinery placement, storage areas and logistical considerations impact the spatial arrangement of factories. With the help of workers and factory officials interviews in shoe factories, site visits, and spatial analysis techniques this research provides insights into the actual indoor environment of the factories in terms of spatial arrangement. This actual indoor environment is further comparatively analysed by existing standards for industrial buildings which helped to find out the potential areas for improvement. The findings of this research work aim at identifying the potential areas and best practices for improvement in spatial configuration of shoe factories which will contribute to workers’ comfort.

The Influence of Social Media Marketing and Electronic Word of Mouth on Brand Image and Purchase Intention with Ventela Shoe Products in Pekanbaru City

The rapid development of the fashion world has attracted a lot ofpublic attention, especially among teenagers who want to lookattractive. Shoes are one of the most famous fashion trends, asevidenced by the creation of various models and types of shoes sold onthe market. Therefore, shoe industry companies offer affordableprices, have a good brand image, and are able to provide satisfactionto consumers. This study was conducted to determine the influence ofsocial media marketing and electronic word of mouth on brand imageand purchase intention with ventela shoe products in pekanbaru city.The population in this study were all consumers who were interestedin making purchases on the Ventela shoe brand who were domiciled inPekanbaru City with a sample size of 100 people. The data collectiontechnique in this study used a questionnaire with a quantitativemethod. The analysis tool used in this study was Path Analysis usingthe SPSS 26 application. The results of the study showed that 1. SocialMedia Marketing had a positive and significant effect on Brand Image;2. electronic Word Of Mouth had a positive and significant effect onBrand Image; 3. Social Media Marketing had a positive and significanteffect on purchase intention; 4. electronic Word Of Mouth has apositive and significant effect on purchase intention; 5. Brand Imagehas a positive and significant effect on purchase intention; 6. BrandImage is able to mediate the influence of Social Media Marketing onpurchase intention; 7. Brand Image is able to mediate the influence ofelectronic Word Of Mouth on purchase intention

Smart automation in luxury leather shoe polishing: a human centric robotic approach

ABSTRACT The polishing of luxury leather shoes is a delicate, labor-intensive process traditionally performed by skilled craftsmen. Footwear companies aim to automate parts of this process to enhance quality, productivity and operator well-being, but the unique nature of luxury shoe production presents challenges. This paper introduces a solution involving a collaborative robotic cell to assist in shoe polishing. A collaborative robotic manipulator, equipped with a specialized tool and governed by force control, executes the polishing tasks. Key factors such as trajectory design, applied force, polishing speed and polish amount were analyzed. Polishing trajectories are designed using CAM software and transferred to the robot’s control system. Human operators design the process, supervise the robot and perform final finishing, ensuring their expertise is integral to achieving quality. Extensive testing on various shoe models showed significant improvements in quality and reliability, leading to successful implementation on an industrial production line.

PROSES PRODUKSI INJECTION PHYLON

ABSTRACT The shoe industry in Indonesia has great potential to compete in the global market, producing high-quality products that are in demand by international consumers. In 2018, the industry produced 1.41 billion pairs of shoes, accounting for 4.6% of the world's shoe needs, making Indonesia the fourth largest shoe producer in the world. However, challenges remain, including the Termination of Employment Relationships which raises concerns among the public and investors. The government seeks to provide positive information about investment and labor absorption. One of the innovations in this industry is the use of a phylon injection machine, which is able to produce the bottom of the shoe with high precision and efficiency. This production process involves advanced technology and the use of special materials such as phylon, which has advantages in elasticity, durability, and comfort. This research method includes observation, literature study, field practice, and data analysis. The results of the study show that the use of a phylon injection machine can improve the production efficiency and quality of shoe products. The conclusion of this study is that innovation and technology in the Indonesian shoe industry can strengthen global competitiveness and make a positive contribution to the economy.

ANALISIS KAPASITAS PRODUKSI PHYLON UNTUK MENDUKUNG JADWAL INDUK PRODUKSI MENGGUNAKAN METODE ROUGH CUT CAPACITY PLANNING (RCCP) DI PT HANJIN INSOLE INDONESIA PURWAKARTA

PT Hanjin Insole Indonesia is a company that produces phylon for shoe products. PT Hanjin Insole Indonesia has two products: Airmax 270 and Airmax Dawn. The company needs to know the factory's capacity to meet consumer demand. The main factor causing the company to be unable to meet consumer demand is that demand in each period experiences unstable conditions, which results in it being unable to meet demand. The company needs to do production planning to predict demand and ensure that consumer needs are met on time. By using the forecasting method, the company can determine the demand needed. The Aggregate Production Plan is designed to manage the costs required. The Master Production Schedule allows the company to evaluate its production capabilities and anticipate changes in demand each period. At the same time, Rough Cut Capacity Planning helps assess the company's capacity to meet demand. This study shows that the required production capacity has not reached the available capacity, with a percentage of 77% of the company's capacity, so the master production schedule for next year is considered adequate and has the potential to be maximized.

Improving prediction accuracy of open shop scheduling problems using hybrid artificial neural network and genetic algorithm

Scheduling issues are typically classified as constrained optimization problems that examine the allocation of machines and the sequence in which tasks are processed. Regarding the existence of one machine, identification of works processing sequence forms a complete time schedule. Therefore, following a review of previous works, the goal of the present study is designing a mathematical model for open shop scheduling (OSS) problems using different machines aiming at minimizing the maximum time required to complete the works using an artificial neural network (ANN) and genetic algorithm (GA). The research data were driven from a Shoe company carried out between the years 2019 and 2020. The GA and ANN methodologies were employed to analyze and forecast the scheduling of activities within the shoe manufacturing sector. The findings indicated that the probability associated with the third population of the GA was 0.15. Furthermore, an examination of the average values of standard error revealed that the neural network model outperformed in terms of predictive accuracy. The estimated minimum time necessary for task completion, as determined by the neural network, was calculated to be 0.96699, facilitating an optimal condition for meeting the established objectives.

Cluster Analysis and Forecasting on Local Shoe Products: Case study for Ventela in Indonesia

Shoes are a secondary need that is in demand by all age groups. Each shoe brand has many models, which means a store must provide complete stock to meet consumer needs. The available models have different purchasing power or demand, which creates difficulties for stores in determining shoe products that are often sold and shoe products that are not in demand by customers. The data used in cluster formation includes three variables recorded and collected from e-commerce transactions, namely Number of Visitors, Number of Buyers, and Total Sales. Based on these variables, Ventela shoe models are grouped into three clusters, namely low-selling, normal and best-selling. Next, the variable number of transactions for Ventela shoe models in the best-selling cluster is taken to be predicted using the Exponential Smoothing method. The forecasts obtained are used to determine future demand to maximize profits. Based on the results of the clustering analysis, it was found that the number of shoe models included in the best-selling cluster was six, including (1) Ventela Ethnic Low All Black, (2) Ventela Ethnic Low Black Natural, (3) Ventela Public Low Black Natural, (4) Ventela Public Low Cream, (5) Ventela Republic Low Black Natural, and (6) Ventela Republic Low White. Referring to the sample of this study, which only spanned less than three years, several shoe models produced a forecast value of zero. It means, based on the forecast results for the next 12 months, there may be no sales.

The The Influence of Instagram Social Media Marketing, E-WOM, and Co-Branding on Brand Switching Behavior from Other Shoe Brands to Aerostreet Shoes through Purchase Intention (Survey of Aerostreet Shoe Consumers in Kuningan Regency)

This study aims to determine the direct and indirect influence of Instagram as social media marketing, electronic word of mouth and co-branding on brand switching behavior through purchasing interest in Aerostreet shoe products. Sample in this research were people who are consumers of Aerostreet shoes as many as 120 samples. questionnaire used as the research instrument containing statements and distributed via Google form. SEM AMOS ver. 23 used as data proccesed in this research. The results showed: Instagram social media marketing has a significant and positive impact on purchase intention. Electronic word of mouth has a positive and significant effect on purchase intention. Cobranding has a positive and significant effect on purchase intention. Purchase Intention has a positive effect on brand switching. Instagram social media marketing has no effect and insignificant on brand switching. Electronic word of mouth has no effect and insignificant on brand switching. Co-branding has no effect and insignificant on brand switching. Purchase Intention can mediate the influences of Instagram social media marketing on brand switchin. Purchase Intention can mediate the influences of electronic word of mouth on brand switching. Purchase Intention can mediate the impact of co-branding on brand switching.

Perceived value dan brand trust terhadap purchase intention dengan mediasi brand preference

This study aims to identify the mediating role of brand preference in the relationship between perceived value, brand trust, and intent to buy. Data for this study came from a Google Forms survey that used a quantitative methodology with a descriptive focus. The study sites are the five cities in East Java—Surabaya, Sidoarjo, Jember, Malang, and Banyuwangi. The sample size was chosen using the Ferdinand method, and the sample consisted of 200 respondents. Purposive sampling was used to select the sample. An SEM based on Partial Least Square (PLS) is used to analyze the data. The study results show that perceived value and brand trust influenced purchase intention. Perceived value and brand trust influence brand preference, and brand preference influences purchase intention. Other results show that brand preference can mediate the effect of perceived value brand trust on purchase intention on Ventela Shoes products in the Shopee marketplace.

Pengaruh Viral Marketing, Desain Produk Melalui Citra Merek sebagai Variable Intervening terhadap Minat Beli Sepatu Aerostreet

This research aims to find out whether Brand Image can influence Viral Marketing and Product Design on Purchase Intention in Aerostreet Shoes products at the Faculty of Economics and Business, Bhayangkara University, Greater Jakarta. The method used in this research is a quantitative method. The sample used was 170 respondents and focused on students at the Faculty of Economics and Business, Bhayangkara University, Jakarta Raya. The sampling technique uses Purposive Sampling technique. The data collection technique uses a questionnaire. Data analysis techniques use statistical methods with SmartPLS 4.0 software. The results of this research show that there are variables that influence each other, as in the following brief explanation: 1). Viral Marketing has a positive and significant effect on Purchase Intention, 2). Product Design has a positive and significant effect on Purchase Intention, 3). Viral Marketing has a positive and significant effect on Brand Image, 4). Product Design has a positive and significant effect on Brand Image, 5). Brand Image has a positive and significant effect on Purchase Intention, 6). Brand Image is able to fully mediate Viral Marketing on Purchase Intention, 7). Brand Image is able to fully mediate Product Design on Purchase Intention.

Analisis Rasio Profitabilitas Dan Rasio Aktivitas Sebagai Dasar Penilaian Kinerja Keuangan PT. Sepatu Bata Tbk

PT Shoes Bata Tbk is a company engaged in the manufacture of leather shoes, canvas shoes, casual and sports shoes, injection/slop sandals and industrial footwear safety mats. Financial performance is a description of the financial condition of a company which is analyzed using financial analysis tools, usually the measure used is the ratio. Research conducted by the author to analyze the financial performance of PT Shoes Bata Tbk based on profitability ratios and activity ratios. The profitability ratio can be measured by Gross Profit Margin, Net Profit Margin, and Return on Investment. Where Gross Profit Margin and Net Profit Margin are ratios that measure the company's ability to earn profits on sales, Return on Investment is a ratio that measures the company's ability to use all assets owned to generate profits after tax. The activity ratio can be measured by Receivable Turnover, which is a ratio that measures the company's ability to quickly manage the level of accounts receivable turnover. Inventory Turnover is a ratio that shows how quickly inventory turns over in sales activities. And Total Asset Turnover is a ratio that measures a company's ability to create sales using all the assets it owns. The aim of this research is to find out and analyze the financial performance of PT SEPATU BATA Tbk during 2016-2021 based on the two ratios. This research uses a descriptive qualitative approach method. The data source used is secondary data in the form of profit/loss financial report data and balance sheet reports. The results of this research indicate that the financial performance of PT Shoes Bata Tbk for the 2016-2021 period based on GPM is considered very good because the company was able to reduce the cost of goods sold, resulting in high sales and high gross profit. NPM is considered not good because the net profit generated is less with quite high sales. ROI is considered very poor because the high total assets are not commensurate with the net profit generated. RT is considered very good because it increases every year. IT is considered very poor due to the decrease in cost of goods sold and increase in average inventory each year. TAT is considered quite good because the company is able to manage its assets well. Financial performance as measured by the profitability ratio and activity ratio can be said to be less efficient, because the components of the profitability ratio and activity ratio are still low and do not reach good company standards.

An application of genetic algorithm into order scheduling of a textile company

Scheduling not only poses a significant complexity problem in manufacturing inside each of enterprise but extending to the competitive landscape among enterprises as well. The footwear industry, particularly in the field of accessories for shoe production, is no exception to this challenge. This research paper addresses scheduling issues that arising in the dyeing plant, for the product of shoelaces with various restrictions such as color, machines resource and the demand uncertainty. By emerged the Genetic Algorithm (GA) as modeling evolutionary system, incorporating the two-point crossover, swap mutation operators, and k-tournament selection, which are the operators that mainly used in the job shop and flow shop environment, to the scheduling of machine in parallel environment. The purpose of such the application is to find the efficient allocation of jobs, focus on addressing order lateness by minimizing the total completion time of all batches. The optimization results demonstrate the schedule of a one-day scenario production, providing practical insights into the benefits of GA when comparing to the MILP and current scheduling method of the company. Overall, the research contributes valuable findings to the field of textile dyeing scheduling, offering a robust solution to enhance production efficiency, resource utilization, and order sequencing in the footwear auxiliary enterprise.

Markov Chain Method in Decision Implementation of Preventive Maintenance Scheduling to Reduce Equipment Downtime in PT. ADF Indonesia: Case Study

PT. ADF is a company operating in the shoe manufacturing industry located in Indonesia. PT. ADF has the problem of machine downtime which is currently still relatively high and requires quite a long repair time. The aim of this research is to reduce the high downtime of equipment or machines with the Markov chain method approach used in selecting the next strategy to produce a better probability of implementing scheduled preventive maintenance (PM) compared to Corrective Maintenance (CM), so that implementing a maintenance schedule is chosen to reduce downtime. equipment/machines. This strategy can reduce obstacles or disruption to production schedules. Based on the Pareto diagram, it is known that the largest downtime is caused by damage to the Rotary injection molding machine and molding machine at 80%. After implementing the preventive maintenance scheduling system as intended, the effectiveness of implementing preventive maintenance can be determined by knowing the results of calculating downtime data on Rotary printing machines and printing machines which were previously 2180 minutes/3 months to 729 minutes/3 months or the equivalent of a cost reduction of IDR. 54,735,613.00 to IDR. 18,303,790.00 or the company obtains savings of 66.56%.

The effect of line balancing on the efficiency and effectiveness of shoe production at PT Wangta Agung

Business competition is increasing, companies must reorganize their business strategies and tactics every day in the era of globalization. The purpose of this study was to determine the effect of Line Balencing on the efficiency and effectiveness of shoe production at PT Wangta Agung. The research method used is descriptive research. Descriptive research is a type of research conducted with the main purpose of providing an objective description or description of the situation. The results of the research on the actual shoe production workstation configuration consisted of 15 work stations with a cycle time of 16 seconds. Analysis of sewing activity work time takes about 23.75 minutes for one additional operator to assist the two main operators in meeting the set targets. The increased capacity of the shoe-making production workstation consists of 7 stations that have a balance of 16 seconds of delay time with production efficiency with a yield of 87.5%.

How athletes’ biomechanical running characteristics effect running economy during the use of running shoes with and without carbon inserts

To maximise running economy (RE), shoe manufacturers placed carbon plates within the midsole of shoes. Shoe technology research is limited on understanding the variability of individual responses to carbon-plated shoes and how these responses vary across running velocities. Little research on same shoe characteristics with and without a stiff element has been completed. This study aimed to investigate how running shoes with carbon versus without a carbon composite stiff element alter individual running biomechanics and the metabolic cost of running. Ethical approval was gained from Cardiff Metropolitan University Ethics Committee. Ten male athletes (69 ± 9 kg; 174 ± 4 cm; 28 ± 9 years) completed two submaximal incremental treadmill runs. One test was completed in a shoe without carbon (C1), the other test was completed in carbon shoes (C2), the order of testing for each shoe were randomised. Running velocity started at 9 km/h and increased by 1 km/h every four mins, blood lactate samples were taken after every stage. Once 4 mmol·L−1 (OBLA; the second lactate turn point) had been reached one more stage was completed. Gas exchange was analysed throughout the whole test. The first 15 s of the final 2 minutes of each stage was recorded using Theia3D markerless motion capture software (Theia3Dv2022.1.0.2309, Theia Markerless, Inc., Kingston, ON, Canada). Data were analysed in 4 stages, the initial stage, pre-OBLA, OBLA and post-OBLA. Physiology data were averaged over the final two mins of each stage. Discrete joint angles were taken from each stage, and an average of the 15 s recording was taken for spatiotemporal measure. Data were analysed using a four-way repeat measures ANOVA, to show individual differences. Non-parametric data were analysed using Wilcoxon signed-rank test. Hedges g calculations were completed to calculate effect size (ES). Results showed significant increase in flight time (FT; P = 0.04, ES = 0.20) in the pre-OBLA stage when using C2. Metatarsophalangeal joint (MTP) dorsiflexion showed significant increase during the initial stage in C2 (P = 0.05, ES = 0.8), and ankle dorsiflexion had significant increase in the post-OBLA stage in C2 (P = 0.03, ES = 0.2). The were no significant differences present in the physiology data. Across the physiological, spatiotemporal and kinematics, high dispersions around the mean were exhibited. Findings suggest that to improve RE, mechanical and spatiotemporal changes need to be present when using C2. Further findings show carbon shoes elicit highly individual responses to both RE and mechanics of running.

ЕКСПЕРИМЕНТАЛЬНЕ ДОСЛІДЖЕННЯ ПРОЦЕСУ КОНТРОЛЮ ПОЛОЖЕННЯ ПЛОСКИХ ДЕТАЛЕЙ З АСИМЕТРІЄЮ ПОВЕРХОНЬ СТРУМЕНЯМИ ПОВІТРЯ

The article considers a study of the method of controlling the position of flat shoe parts that have asymmetry of surface roughness, using air jets. Many natural and artificial materials used in shoe production, in addition to other differences, have different irregularities (different relief), as well as different hairiness on the front and back surfaces, which can be natural, created artificially for decorative or other special purposes during processing. The difference lies in the size of the irregularities and pile, their location on the surfaces, as well as in their elastic properties. This makes it possible to control the position of the flat parts of the shoe according to the properties of the surfaces using methods based on the use of these features. Therefore, the task of creating devices for such control is urgent. The paper considers the principle of operation of devices for controlling the position and orientation of flat parts with asymmetry of surfaces using pneumatics. The article describes the results of the study of the method of control by the properties of surfaces using compressed air, for which the authors received a patent for the invention. To perform experimental research, an experimental stand was designed and manufactured, and a scheme was developed to determine the force of moving the part to the control position. Determination of the force of movement of the part to the control position was carried out by the method of electrotensometry. Experiments were carried out with parts made of different, common shoe materials that have a difference in the irregularities and hairiness of opposite surfaces. When planning the experiments, the following factors were used as factors influencing the force of moving the part to the control position: the angle of inclination of the nozzles and the number of nozzles in each chamber. Key words: force of movement, compressed air, flat parts, surface irregularities.

Optimization of the FDM Processing Parameters on the Compressive Properties of ABS Objects for the Production of High-Heeled Shoes

The influence of 3D printing parameters on compressive properties is an important factor in the application of additive manufacturing processes for products subjected to compressive loads in use. In this study, the compressive strength and compressive modulus of acrylonitrile/butadiene/styrene (ABS) test specimens fabricated using the fused deposition modeling (FDM) process were investigated with the aim of producing products of high-heeled shoes for women. The experimental part of the study includes a central composite experimental design to optimize the main 3D printing parameters (layer thickness, infill density, and extrusion temperature) and the infill geometry (honeycomb and linear at a 45° angle—L45) to achieve maximum printing properties of the 3D-printed products. The results show that the infill density has the greatest influence on the printing properties, followed by the layer thickness and, finally, the extrusion temperature as the least influential factor. The linear infill at a 45° angle resulted in higher compressive strength and lower compressive modulus values compared to the honeycomb infill. By optimizing the results, the maximum compressive strength (that of L45 is 41 N/mm2 and that of honeycomb 35 N/mm2) and modulus (that of L45 is 918 N/mm2 and that of honeycomb is 868 N/mm2) for both types of infill is obtained at a layer thickness of 0.1 mm and infill density of 40%, while the temperature for L45 can be in the range of 209 °C to 254 °C, but for the honeycomb infill, the processing temperature is 255 °C. Additionally, the study highlights the potential for sustainable manufacturing practices and the integration of advanced 3D printing technologies to enhance the efficiency and eco-friendliness of the production process.