Parts Manufacturer Research Articles

Dynamic Testing and Fatigue Analysis of the I-31P Nose Landing Gear

Abstract The landing gear is a critical safety component of any aircraft, playing a key role in managing the significant loads experienced during landing and ground maneuvers. In the case of the I-31P aircraft, a redesign of the I-23 landing gear system, required comprehensive testing to validate its performance, after change of landing gear parts manufacturer and minor updates to materials and technologies. This study focuses on the dynamic testing of the I-31P nose landing gear (NLG), particularly to assess its energy dissipation and fatigue resistance under operational conditions. Dynamic tests, performed in accordance with CS-23 standards, utilized strain gauges to monitor potential stress concentrations, especially on the half-fork design. Results demonstrated that the I-31P nose landing gear meets the required safety standards, with key performance metrics such as deflection and load factors within acceptable limits. The findings also highlighted the importance of continued monitoring for potential fatigue issues, offering valuable insights for future design enhancements.

Understanding Knowledge and Health Behaviors Regarding Noise Prevention Practices Among Workers in a Small Automotive Parts Manufacturer in Chonburi Province

Understanding Knowledge and Health Behaviors Regarding Noise Prevention Practices Among Workers in a Small Automotive Parts Manufacturer in Chonburi Province

Supporting experiential learning for expanding successes: extending Kolb’s model

ABSTRACT This study aims to investigate how middle managers help subordinates expand their successes, drawing on experiential learning theory and the broaden-and-build theory. Using an open-ended survey of middle managers (n = 203) working for a global manufacturer of motor vehicles and parts in Japan, the grounded theory approach was used to develop the model of experiential learning support for expanding successes. The results suggest that managers tend to help their subordinates review and expand their successes through four phases that consist of recognition and acceptance, analysis (causal analysis, generalisation, and improvement) sharing (documentation and standardisation and knowledge sharing) and application (stretched assignments and action plan). This study contributes to the literature on Human Resource Development by identifying positive instructional methods for developing employees.

Enhancing Logistics Performance through Organizational Factors: An Empirical Investigation of Automotive Spare Parts Manufacturers in Thailand’s Eastern Economic Corridor

Enhancing Logistics Performance through Organizational Factors: An Empirical Investigation of Automotive Spare Parts Manufacturers in Thailand’s Eastern Economic Corridor

A STUDY OF THE CURRENT SITUATION AND FUTURE EXPECTATIONS REGARDING THE COMPETENCY OF LABORS WITH BACHELOR'S DEGREES IN ESTABLISHMENTS IN THE AUTOMOTIVE PARTS MANUFACTURING INDUSTRIES

This research was to study the current situation and future expectations regarding the labors competency with bachelor's degrees in establishments in the automotive and automotive parts manufacturing industries. The gap between the competencies of labors was analyzed with current bachelor's degrees and the competencies of labors with bachelor's degrees that enterprises expect. Data was collected by questionnaire from 80 employees in the establishment, and automotive parts manufacturer No. 1 and No. 2. Employees are from 20 establishments including executive administrators at the department head level and above, engineers, and operator with at least 5 years of experience. Establishments that have signed a cooperation agreement to work integrated learning of King Mongkut's University of Technology Thonburi in Bangkok and perimeter by purposive sampling. The research was found that the labors competencies who graduated with bachelor's degrees in today's establishment’s knowledge in performing one's work have the highest average of 3.720, at the highest average of 3.800 for the area of skills and learning skills, and at the highest average of 4.080 for characteristics of social responsibility. The results of the gap analysis between the labors competencies with bachelor's degrees in today's establishments and the expectations regarding the labors competencies with bachelor's degrees in the future were found that the averages were different and statistically significant at the .05 level in all aspects. The results have the highest average expectation of 4.440, followed by skills with an average of 4.160 and knowledge with an average of 3.972, respectively.

Modernising Supply Chain Analytics with Demand Forecasting Engine

In todays’ dynamic market landscape accurate demand forecasting plays a role, in optimizing supply chain operations reducing inventory expenses and improving customer satisfaction. The article is a case study of one of the leading automotive spare parts manufacturers with thousands of products. The main aim of the study is to forecast the demand of the factory on bi-weekly basis and monthly basis, compare the performance metrics with different forecast approaches and suggest suitable model.

Air pollution generated in an industrial region: Effect on the cardiovascular health of humans and damage caused to a plant species, Piper gaudichaudianum (Piperaceae), used for biomonitoring

Atmospheric pollution due to anthropogenic activities is a complex mixture of gasses and particulate matter (PM) that is currently one of the main causes of premature death in the world. Similarly, it is also capable of directly interfering with plant species by reducing their photosynthetic capacity and growth and killing cells. This work is about an observational study conducted in a region with two industries: a mine and an automobile parts manufacturer. Mining rocks is a source of PM in the air like that caused by other industrial activities. Twenty-five people that work or live in the industrial region cited (area A) and 25 people that live further away (area B) were selected to evaluate their vital signs and conduct a transthoracic echocardiogram. Leaves of Piper gaudichaudianum (Piperaceae), a native plant species, were also collected in both areas and evaluated in a laboratory. The PM accumulated on the leaves was evaluated using scanning electron microscopy (SEM) and inductively coupled plasma-optical emission spectrometry (ICP-OES). A statistical difference (P < 0.05) was verified for the levels of systolic blood pressure (SBP), diastolic blood pressure (DBP), and left ventricular mass index by echocardiography; the values were greater in people in area A. For the plant analysis, there was a statistical difference for all characters evaluated, chlorophyll levels, fresh mass, dry mass and leaf area were reduced, and thickness was greater in area A (P < 0.001). The PM analysis revealed a predominance of silicon, iron, and aluminum chemical elements. The present study suggests that particulate matter pollution is harmful to both humans and the flora.

УПРАВЛЕНИЕ РЕЗЕРВАМИ ЗАПЧАСТЕЙ В МНОГОУРОВНЕВОЙ СТРУКТУРЕ ОБЕСПЕЧЕНИЯ НАДЕЖНОСТИ ТЕХНИЧЕСКИХ СИСТЕМ

The processes occurring in production systems are limited by agrotechnical requirements. The determining factor of the technological reliability of the system is the time of replacement of the failed element. The reliability of the system depends significantly on the ratio between the time of replacement of the failed element with a workable spare part and the allowable downtime in the operation of the production system. A set of spare parts and accessories should be considered as a kind of unloaded reserve. (Research purpose) The research purpose is formalizing the dependencies between the performance indicators of the spare parts supply system and optimizing the flow of applications for spare parts, taking into account their quality. (Materials and methods) It was noted that in order to assess the quality of spare parts and accessories on a certain date, it is advisable to fix three parts of the purchased batch of spare parts. The task of assessing the reliability of spare parts and accessories at an early stage of their use was formulated. (Results and discussion) It was found that for a batch of spare parts and accessories of poor quality, it is possible to make prompt decisions on complaints to the manufacturer of spare parts and their replacement. (Conclusions) It was stated that the processes of spending spare parts are stochastic. It was established that a set of spare parts and accessories is a kind of resource designed to improve the reliability of the functioning of technical systems. The availability factor of spare parts and accessories was proposed, taking into account the intensity of their failures during storage. The general reliability model should take into account: the strategy of replenishment of spare parts, the type of structure of the supply system, the type of failure model. Proved that the strategy of continuous replenishment of spare parts and accessories is effective. It provides, other things being equal, a higher value of the availability factor of spare parts and accessories.

Successful Foreign Direct Investment Through the Development of Parts Supply Industries in the Host Country: A Study of India's Automobile Manufacturing Sector

Several large multinationals and a few local assemblers dominate the Indian automobile industry. The largest multinational, Maruti Suzuki, entered the Indian automobile industry with a policy of developing local automotive parts manufacturers to achieve high local content ratio. This study seeks to determine the extent to which foreign direct investment (FDI) in host countries contributes to the growth of automobile parts manufacturers. We use district‐level panel data from 2000 to 2008 to assess the linkage between the production of major automobile assemblers and the development of automotive parts suppliers located in the same and adjacent districts to those assemblers. Our regression results show the heterogeneity of the linkages, suggesting that the formation of industrial clusters by local parts suppliers and the expansion of their production capacity are likely to be key determinants of the success of FDI in the Indian automobile industry, rather than relying on in‐house parts production or imports.

Optimizing coolant oil wastewater treatment via modified air-Fenton process with bimetallic particles from auto parts manufacturing waste

This study evaluated the efficiency of aluminium (Al)/iron (Fe) bimetallic particles, produced from waste by-products of auto parts manufacturing—namely, aluminum dross (AD) and shot blast (SB)—in removing chemical oxygen demand (COD) and total organic carbon (TOC) from coolant oil wastewater originating from an auto parts manufacturer. Two different molar ratios of ADSB bimetallic particles, namely, 1:1 (ADSB1) and 2:1 (ADSB2), were investigated for their characteristics and applied in the modified air-Fenton (MAF) process which enhances the traditional Fenton method by utilizing ADSB bimetallic particles instead of Fe0 and Al0, and by incorporating aeration to stimulate the reaction. The wastewater contained an initial COD ranging from 60,000 to 120,000 mg L–1 (at 3–5 % v/v) and a TOC ranging from 10,000 to 40,000 mg L−1. The experimental design included varying reaction times, pH values, quantities of bimetallic particles, airflow rates, and wastewater concentrations were performed using the Minitab-19 software package. X-ray fluorescence (XRF) analysis revealed that the bimetallic particles have SiO2 content ranging from 39.69 % to 56.03 %, Fe2O3 ranging from 20.52 % to 30.90 % and Al2O3 ranging from 16.51 % to 16.66 %, with surface areas varying between 5 and 6 m2 g−1. As a result of XRF analysis, SiO2 can be contaminated by the sand molds used in the manufacturing process of products. Notably, ADSB1 exhibited impressive removal efficiencies of 98.70 % and 98.50 % for COD and TOC, respectively, at 0.6 g, pH 3, airflow rate of 1.5 L min–1, and reaction time of 105 min. Conversely, ADSB2 achieved removal efficiencies of 96.30 % and 98.43 % for COD and TOC, respectively, at 0.2 g, pH 9, airflow rate of 2.0 L min–1, and reaction time of 180 min. Pareto charts and 3D surface plots derived from the data showed the number of bimetallic particles as the most influential factor, followed by the initial pH. The MAF process significantly extends the pH range under diverse conditions by incorporating ADSB particles and reduces the reliance on traditional chemicals like hydrogen peroxide. This research presents a promising advancement in wastewater treatment technology.

근골격계질환 분석용 소프트웨어를 이용한 제조업체 근로자들의 근골격계질환 위험도 분석

Purpose: To provide basic data for developing a musculoskeletal disease prevention program by measuring the body alignment status of manufacturing workers performing musculoskeletal-related work and identifying differences in body alignment status according to the area of musculoskeletal subjective symptoms and general characteristics. Method: The study was conducted from December 1, 2022 to January 26, 2023 among 162 workers at a parts manufacturer located in G City. As for the survey tool, body alignment was measured using posture measurement and analysis equipment (Exbody9100, Korea), and the survey was conducted using a self-administered questionnaire. Data analysis was performed using SPSS 27.0, including frequency analysis, independent t-test, and ANOVA. Results: The complaint rate of musculoskeletal symptoms was 98.8%, and the comprehensive musculoskeletal index indicating body alignment was 29.00±10.456, which could predict body misalignment. Pain severity (F=2.889, p&lt;.024), duration of pain once pain occurs (F=3.245, p&lt;.005), number of pain occurrences (F=3.093, p&lt;.007), pain pattern depending on movement(F=2.542, p&lt;.022) There was a significant difference with body alignment status. Conclusion: This study confirmed the relationship between physical imbalance and musculoskeletal pain and predicted the risk of developing musculoskeletal diseases through analysis of workers' body alignment status. Therefore, when establishing preventive measures for musculoskeletal diseases, preventive measures that can maintain body balance should be established.

Sustainable supply chain decision-making in the automotive industry: A data-driven approach

The auto parts manufacturing sector faces multifaceted challenges ranging from production planning to sustainability imperatives, necessitating innovative solutions. This study presents an integrated data-driven approach tailored to address these challenges. Leveraging advanced AI techniques, including Convolutional and Recurrent Neural Networks optimized with the Moth-flame Optimization Algorithm (MFO), we accurately predict demand quantities for automotive components. Through empirical validation with Iranian auto parts manufacturers, our model achieves an impressive accuracy rate of over 90 %. Subsequently, Data Envelopment Analysis (DEA) evaluates suppliers not only based on demand quantities but also on their social, economic, and environmental impacts, with a resulting average efficiency score of 0.75. The Best-Worst Method (BWM) further refines supplier selection, leading to the identification of top-performing suppliers with an average score of 0.8. This comprehensive approach enables auto parts manufacturers to optimize production planning processes while aligning with sustainable development goals. The successful application of our model underscores the transformative potential of integrating business analytics and AI in the automotive industry towards sustainability.

The Impact of Economic Policy Uncertainty on Green Technology Innovation of New Energy Vehicle Enterprises in China

Against the backdrop of increasingly serious global carbon emissions and environmental challenges, new energy vehicles (NEVs), as important low-carbon means of transport, play a crucial role in reducing carbon emissions, enhancing energy efficiency, and promoting sustainable development. However, green technological innovation is under considerable pressure from economic policy uncertainty (EPU), and the exact effects are not well understood. Using panel data on listed companies’ green technological innovation from 2012 to 2022, this study examines the relationship between EPU and green technological innovation in Chinese NEV enterprises. The findings reveal that rising EPU has a significant negative impact on green technological innovation in these companies; however, company ESG performance and government financial subsidies can effectively mitigate this negative impact. Notably, in provinces where public environmental concerns are high, the moderating effect of government subsidies is weaker; while facing EPU, NEV manufacturers rely more on government subsidies for green technological innovation than do parts manufacturers. These findings provide critical insights for guiding NEV enterprises in coping with EPU, advancing green technological innovation, and offering appropriate support and incentives to policymakers.

A Comprehensive Review on the Global Aviation Industry and Aircraft Maintenance Management Processes

The vision of the Turkish Republic is to surpass the level of contemporary civilization, and one of the main principles to achieve this is "The future is in the skies." To make this a reality, it is imperative to establish a national and domestic aviation industry. The first step towards this goal is to ensure the safe operation of aircraft, which requires a maintenance management system. To create and use the necessary maintenance documents, an international standard management process should be followed for airframe manufacturers and component and part manufacturers in the aviation industry. Airline operators should then create their maintenance documentation according to this system and work with airplane maintenance organizations to ensure the airworthiness of their aircraft. This study discusses and evaluates the documents used within the essential management and organization principles framework, primarily focusing on the aircraft maintenance management system.

Does the dual-credit policy promote the technological development of new energy vehicles? An industry chain reconstruction perspective

With the deep application of automation and digitalization technologies, the global automobile value chains are undergoing a new round of large-scale restructuring, and the traditional supply chain structure taken vehicle manufacturers as the core has been broken. The dual-credit policy (DCP), taking over the subsidies for new energy vehicles (NEVs), plays a vital role in reconstructing, transforming, and upgrading the automobile industry. The target group of DCP is passenger vehicle manufacturers, but it is unclear how its implementation will affect the NEV industry chain. To address this issue, this study examined the impact of the DCP on the innovation performance of automobile manufacturing enterprises using a DID (difference-in-difference) model based on the data of 693 listed advanced manufacturing enterprises in China A-shares from 2014 to 2021. The empirical results show that the DCP has significantly promoted the innovation performance of automobile manufacturing enterprises. In terms of supply chain role heterogeneity, the impact of the DCP on the innovation performance of parts manufacturers is more significant. Regarding enterprise ownership heterogeneity, the DCP has a greater impact on the innovation performance of SOEs(state-owned enterprises). In addition, regarding regional heterogeneity, enterprises in eastern and middle regions are significantly affected by the DCP to improve innovation performance.

Workshop digitalisation and its effect on manufacturing operations management: a new analysis method from a data quality perspective

ABSTRACT Workshop digitalisation (WD) provides a rich supply of real-time production data to achieve efficient manufacturing operations management (MOM). However, if data quality (DQ) cannot be ensured, manufacturing enterprises will not benefit from WD despite the resources invested. This study proposes a new method to evaluate the effect of WD from a data quality (DQ) perspective and identifies the root causes of WD failures at the operational level by information stream analysis based on an extended value stream mapping 4.0 (VSM4.0). The method is developed through a Design Science Research (DSR) approach and tested in an automobile parts manufacturer in China.

Fuzzy Radar Evaluation Chart for Improving Machining Quality of Components

Some studies have shown that any part machined by an outsourcer usually has several basic quality characteristics. When the outsourcer’s process capabilities are insufficient, the defective rate of various quality characteristics of the product will increase, thereby raising the rework rate and scrap rate. As a result, maintenance costs will go up, economic value will decrease, and even carbon emissions can increase during the production process. In addition, the process capability index and the radar chart are widely used in engineering management and other fields. Since process indicators often contain unknown parameters, sample data are needed for evaluation. With the rapid development of the Internet of Things and big data analysis, many companies regard rapid response as a basic requirement for timeliness and cost consideration. Therefore, companies often have to evaluate the process quality of ten small samples and decide whether to make some improvements. In order to solve the above problems, this study proposed a fuzzy radar chart evaluation model for the process quality of multi-quality characteristic parts based on the process capability index. Using this model can help all parts manufacturers continue to improve the quality of their machined parts as well as reduce their rework and scrap rates. Meanwhile, carbon emissions can be lessened during the production process, and companies can fulfill their social responsibilities. This fuzzy radar chart evaluation model is based on confidence intervals. As the company’s past experience is incorporated, the evaluation accuracy can be maintained even with a smaller sample size. Furthermore, the fuzzy radar evaluation chart can simultaneously evaluate the process capabilities of all quality characteristics of the part. In addition to making it easier for manufacturers to master all quality characteristics, quality process capability can also help them seize improvement opportunities.

Auto parts quality certification and manufacturer regulation: An evolutionary game theory perspective

AbstractThis paper explores a two‐population evolutionary game that models the role of manufacturer regulation as a motivation to auto parts quality certification. In particular, we assume that auto parts suppliers can choose whether or not to obtain the certification, ensuring a relatively high quality of the products, and manufactures can choose whether or not to engage in regulation for certification facilitation, influencing the suppliers' incentive to avoid punishment of uncertificated products. We study the Nash equilibria of this game and conduct static and dynamic evolutionary analyses. The research shows that reducing the auto parts suppliers' certification cost, increasing the penalty cost of the supplier who provides the auto parts that are not certified, and distributing the risk‐loss proportion of manufacturer and supplier properly can encourage auto parts suppliers to obtain the quality certification.

Peramalan Jumlah Persediaan Sparepart Carburetor Assy dengan Metode Exponential smoothing Brown dengan Genetic Algorithm (order cross over dan one point mutation) di PT Hitachi Astemo Bekasi Powertrain System

Abstrac: One of the business people in the automotive sector who continues to move as a manufacturing company in the production of vehicle spare parts is PT ABC which is the largest manufacturer of spare parts for several vehicle companies such as Astra Honda Motor (AHM), Yamaha and so on. One type of production from PT ABC is the carburator assy which functions to mix fuel and air to produce propulsion for vehicles. Seeing its very important function, PT ABC places the carburator assy as a type of spare part that must be produced every month In research, a method is needed to solve the problems that occur. Research methods are scientific ways to obtain data / information as it is and not as it should be, with certain purposes and uses. This research is based on descriptive research. This study used the double exponential smoothing Brown method for forecasting carburator assy 052A with Alpha assessment using Genetic Algorithm order Cross over PT ABC.Calculations carried out for forecasting the Double exponential smoothing Brown method using Alpha values of 0.36 and 0.32 obtained randomly resulted in RMSE values that were greater than Alpha values obtained using Genetic Algorithms, namely 103.7234 for Alpha values of 0.36 and 117.6129 for Alpha values of 0.32. Therefore, it can be interpreted that determining the Alpha value using the Genetic Algorithm method can be a solution to reduce the RMSE error value in Double exponential smoothing Brown forecasting. In research conducted at PT ABC by analyzing the influence of Genetic Algorithms in determining α values, several conclusions can be obtained, namely as follows: Determination of α value for the calculation of Double exponential smoothing Brown using the Genetic Algorithm obtained an Alpha value of 0.43 with the smallest error result of 95.29633. Calculations MADe on Genetic Algorithms can determine α value that can minimize errors in forecasting compared to α values without Genetic Algorithms.

An Industry 4.0 Maturity Model Proposal Based on Total Quality Management Principles: An Application to an Automotive Parts Manufacturer

An Industry 4.0 Maturity Model Proposal Based on Total Quality Management Principles: An Application to an Automotive Parts Manufacturer