Manufacture Of Automotive Parts Research Articles

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

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.

Spot Welding Error Analysis in Making Rear Brake Arm in Spot Welding Part at PT. XYZ

As a manufacturing company engaged in the manufacture of automotive parts, it produces components for motorized vehicles, especially for two wheels, with the production of spare parts in the form of arm rear brakes. In the manufacture of these spare parts, it is really necessary to pay attention to all the needs, such as materials which, in other words, really have an influence on the strength of the material. Included in the process that goes through spot welding, it needs to be considered in the stages of the process to be optimal because, if not, it will cause failure of a product so that defective products are obtained at this welding point. Improvement of the production process of this product can be done by identifying control factors and arrangements using the 5 why analysis, fishbone, and pareto methods until the production process is stable and the results obtained are good and according to the expected standards until the needs of all parties are met.

ESTUDO EMPÍRICO SOBRE MODELAGEM E OTIMIZAÇÃO DO PROCESSO DEFRESAMENTO DE AÇO DUPLEX: UMA REVISÃO SISTEMÁTICA DE LITERATURA

One of the main production processes used in the metalworking industry is end milling. Thistechnique is used in the manufacture of automotive parts, molds and work tools in general. Duplex steel is a metallic alloy basically composed of 20% to 30% chromium and 5 to 10% nickel, with very low carbon content (less than 0.03%) and with additions of nitrogen, molybdenum, tungsten and copper. Response Surface Methodology (RSM) is astatistical technique used for modeling and analyzing problems in which the response variable is influenced by several factors, the objective of which is to optimize this response. The objective is to present a literature review focused on work that was carried out by modeling and optimizing the steel end milling process using RSM, seeking to identify the evolution of the topic over the years and gaps for improvement. To achieve this objective, the Systematic Literature Review was applied, which is a transparent, scientific and replicable method for carrying outthe literature review.

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.

Modernization of the stamping process using eddy current and load sensors in the manufacturing of automotive parts

In this research, an experimental study is presented, which extends the usage of eddy current and load sensors in progressive stamping tools to optimize and continuously monitor the stamping process. The purpose of the research was to automatically detect material scrap before it leaves imprints on the part and based on the sensor’s readings, determine the optimal tool bottom position. The scrap thickness that needs to be detected was established in an experiment by visual evaluation of the result. To determine the optimal bottom position, a linear regression method was used, and the results were evaluated by part quality parameter. The research results consist of separate detection steps and the conclusion was made only after the serial type production. Overall results of scrap detection were influenced by the design of the existing tool. The bottom position detection consists of various readings interpretations and multi-step method descriptions. Based on the acquired results of both methods, implementing the in–die sensors was considered successful and applicable to new tools.

Study on the Dimension Characteristics of Flexible Material TPU95A using Reverse Design and Additive Manufacturing of Automotive Parts

Study on the Dimension Characteristics of Flexible Material TPU95A using Reverse Design and Additive Manufacturing of Automotive Parts

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

Design of Horizontal Shell Core Casting Machine for Small and Medium Enterprise in the Automotive Sector

The manufacturing industry plays an important role in a country's economy because it can produce high-value products and has the opportunity to create jobs for local communities. In this study, the authors designed a horizontal shell core casting machine for small and medium enterprises in the automotive sector with a productivity of 60 seconds per cycle of products is designed based on requirements needed. This shell core casting machine is a device to produce shell core molds used to manufacture automotive components and parts. The design of this device was focused on engineering design in the form of 2-dimensional drawings and computer aided design models in 3-dimensional form. This study was done in collaboration with a local machinery manufacturer in Karawang district in Indonesia. It is expected from these designs will become a reference to manufacture shell core casting machines to support national industrialization impacted on improving the local community's economy.

Study of the Mechanical Characteristics of Bamboo Fibers for the Manufacture of Automotive Parts

Los estudios de materiales compuestos juegan un papel importante en aplicaciones de ingeniería, metalurgia, mecánica y actualmente una alternativa en la fabricación de piezas automotrices. Las fibras naturales reforzadas con polímeros presentan ciertos beneficios como bajo costo, bajo peso, son renovables y son fáciles de procesar. El objetivo de este trabajo es caracterizar el material compuesto con polímeros reforzados con fibras de bambú, para su aplicación en la fabricación de piezas automotrices. Para los ensayos se fabricó probetas de material compuesto de fibra de bambú en proporciones del 75% y 60% con resina epóxica en proporciones de 25 % y 40% dispuestas en 2 y 3 capas. Los resultados en proporción fibra de bambú (75%) – resina epóxica (25%) mostraron un mejor comportamiento mecánico a flexión en un 7,7 % respecto a otras fibras naturales como fibra natural larga de cabuya con fibra de vidrio, lo que se traduce en un aumento de rigidez de los materiales caracterizados, corroborando así, que es un potencial refuerzo de material híbrido alternativo para aplicaciones automotrices. Los resultados de los esfuerzos de tracción fueron validados mediante el método de elementos finitos FEM.

İKİ FARKLI ÜRETİM YÖNTEMİ İLE ÜRETİLEN KETEN/KARBON LİF TAKVİYELİ HİBRİT KOMPOZİTLERİN MEKANİK ANALİZİ

In this study, the hybridization process of carbon fabrics, which used in many areas today, and flax fabrics were carried out using two production methods, hand lay-up and vacuum bagging. The effects of both the production method and the hybridization process on the mechanical performance of the formed flax/carbon epoxy hybrid composites were investigated. Epoxy was used as a matrix element in production. Tensile and hardness tests were performed to evaluate the mechanical properties of the analyzed composite products. Moreover, the surface morphology of the samples broken after mechanical testing was analyzed using scanning electron microscopy. The experimental results reveal that the tensile strength of flax/carbon fiber hybrid composites increased from 226.36 MPa to 344.14 MPa when vacuum bagging method was used, resulting in an increase of 52.03% compared to hand lay-up method. An increment of 1.09% was achieved in comparison to hand lay-up when the hardness value reached 201.59 HV from 199.42 HV in linen/carbon fiber hybrid composites produced by vacuum bagging method. The results of the study reveal that both production methods are suitable for manufacturing of automotive parts using linen and carbon fiber fabrics, depending on the area to be used and the part to be produced.

Automotive parts remanufacturing models: Consequences for ELV take-back under government regulations

Increasing concerns pertaining to environmental conservation and the promotion of circular economy have exerted pressure on the implementation of automotive parts remanufacturing (APR). In order to examine the influence of government regulations on the choice of end-of-life vehicle (ELV) recycling, this study develops APR models for ELV take-back within a closed-loop supply chain (CLSC). These models consist of two direct APR models and one hybrid APR model, all operating under the purview of government regulation. The Stackelberg game is employed to attain an equilibrium strategy concerning the profits of CLSC members. Furthermore, this study conducts an analysis of the impact of recycling license fees and remanufacturing recycling rates on each CLSC member, based on the “Management Measures for Scrap Vehicle Recycling” issued in 2019. In every recycling model, automotive parts manufacturers consistently achieved greater profits compared to the nonrecycling model, while retailers also benefited from their involvement in recycling activities. Additionally, third-party profits experienced an exponential increase with the escalation of recovery rates. Numerical analysis results indicate that as the remanufacturing level of ELV matures, the government is inclined to relax the restrictions on the “remanufacturing recycling rate,” thus promoting the proliferation of third-party recycling centers.

자동차용 기계부품의 홀 가공 품질 검사를 위한 비전 시스템

This paper presents a vision system for machined hole quality inspection of mechanical parts in an automobile. Automobile parts have various shapes and holes created by press punches. However, if the press punch pin is broken, a hole is not created on the mechanical parts. This problem causes serious part quality defects. To solve this problem, we proposed a vision system that could easily and cheaply inspect the quality of holes in automotive machining parts. A software development environment was created to build an economical vision inspection system. Images were gathered using the Near-real-time method to overcome the low frame-per-second of inexpensive Complementary Metal Oxide Semiconductor (CMOS) webcams. Status of the hole was determined using template matching and distance between holes as a feature. The hardware required for vision inspection was designed so that it could be directly applied to the automotive part manufacturing process. When the proposed vision inspection system was tested by installing it in an automobile parts factory for 3 months, the system showed an inspection accuracy of at least 97.9%. This demonstrates the effectiveness of the proposed method with accuracy and speed of hole defect inspection of machined parts.

Modelling and optimization of laser welding of Al2024 aluminium alloy

PurposeAluminium alloys can be used as lightweight and high-strength materials in combination with the technology of laser beam welding, an efficient joining method, in the manufacturing of automotive parts. The purposes of this paper are to conduct laser welding experiments with Al2024 in the lap joint configuration, model the laser welding process parameters of Al2024 alloys and use propounded models to optimize the process parameters.Design/methodology/approachLaser welding of Al2024 alloy has been conducted in the lap joint configuration. Then, the influences of explanatory variables (laser peak power, scanning speed and frequency) on outcome variables (weld width [WW], throat length [TL] and breaking load [BL]) have been investigated with Poisson regression analysis of the data set derived from experimentation. Thereafter, a multi-objective genetic algorithm (MOGA) has been used using MATLAB to find the optimum solutions. The effects of various input process parameters on the responses have also been analysed using response surface plots.FindingsThe promulgated statistical models, derived with Poisson regression analysis, are evinced to be well-fit ones using the analysis of deviance approach. Pareto fronts have been used to demonstrate the optimization results, and the maximized load-bearing capacity is computed to be 1,263 N, whereas the compromised WW and TL are 714 µm and 760 µm, respectively.Originality/valueThis work of conducting laser welding of lap joint of Al2024 alloy incorporating the Taguchi method and optimizing the input process parameters with the promulgated statistical models proffers a neoteric perspective that can be useful to the manufacturing industry.

Modeling production disorder: Procedures for digital twins of flexibility-driven manufacturing systems

While the achievement of mix flexibility is a key driver of competitive advantage for a manufacturing organization, it also represents a source of disruption on the shop floor that may compromise managers' ability to diagnose problems, predict behavior, and make decisions adequately. Given this challenge, the digital twin emerges as a potential tool to reestablish managers’ operational visibility. Its architecture allows for a manufacturing system model to be continuously updated and for management support services to be promptly delivered. Although some studies explore the use of the digital twin to solve specific flexibility-related challenges, the literature lacks a normative and systematic approach to guide the application of this technological architecture in a comprehensive set of flexibility scenarios. To address this gap, based on the normative knowledge acquired from the literature and subject-matter experts, we present procedures to design, implement, and use the digital twin within organizations that suffer flexibility-driven disruptions. We demonstrate the application of these procedures through a case in a large automotive parts manufacturer. Results show that the procedures effectively operationalize a digital twin architecture aimed at contributing to the achievement of a flexible production strategy.

Contextual factors on Toyota Way and Agile Manufacturing: an empirical investigation

This research aims to examine the differences across selected contextual factors on the Toyota Way (TW), agile manufacturing (AM) and their sub-elements. These factors include firm size, nationality of firms, production approaches, IATF 16949 - an international quality management certification in the automotive industry, supplier tiers in supply chains, export levels, and import levels. A survey instrument was developed based on literature, then verified by experts and statistical techniques. ANOVA and independent samples t-test were used to explore the differences across contextual factors of 216 automotive part manufacturers on TW, AM, and their elements. It revealed that there were significant differences across firm size, nationality of firms, and export levels on overall TW, AM and most sub-elements. Insignificant differences across production approaches and IATF 16949 on overall TW, AM and their sub-elements were found. Firms with different contextual factors require different levels of TW, AM and sub-elements. Managers should apply TW and AM elements at suitable levels in accordance with their organizational contexts.This is one of the first studies to empirically investigate the differences across the contextual factors on TW, AM and sub-elements in the same paper from a socio-technical perspective. This study can be used as a basis for further research on integrative practices between lean and agile (leagile) manufacturing.

Line Balancing Analysis to Optimize Production line of Bushing Rubber Using Theory of Constraints and Heuristics Method with Promodel Simulation at PT. Madya Putera Tehnik

The development of manufacturing industry is currently experiencing very rapid development, although the Covid-19 pandemic is still ongoing, this development cannot be inhibited. PT. Madya Putera Tehnik is an industry-engaged automotive part manufacturer that produces bushings. The problem experienced is that the high demand for bushing rubber products makes companies have to optimize the performance of employees and their machines so that targets can be met on time. This study aims to analyze the effectiveness of the production line in the process of making rubber bushings as well as to provide suggestions regarding the balance of the track to increase productivity by using the Theory of Constraints and Heuristic methods. The Theory of Constraints method aims to identify bottlenecks at the outer pipe cutting, rubber roll, rubber clean, and packing work stations that are experiencing problems, and the Heuristic method aims to calculate the balance of the production line. The results obtained from data processing, namely the ranked positional weight and largest candidate rules method have the same results with the number of work stations as many as 14 work stations, track the efficiency of 70%, balance delay of 30%, smoothing index of 66.57, and total exits as many as 1145 units of rubber bushings. It can be interpreted that the two methods have proposed the most optimal trajectory conditions. The company should review the balance of the track and the current production capacity of the company.

Complex Effects of Hemp Fibers and Impact Modifiers in Multiphase Polypropylene Systems

Natural fibers-reinforced polymer composites have progressed rapidly due to their undeniable advantages. Most of the commercial polypropylene (PP)-based materials are characterized by either high impact toughness or high stiffness, while the manufacture of PP composites with both good toughness and stiffness is challenging at present. In this work, poly[styrene-b-(ethylene-co-butylene)-b-styrene] (SEBS) and poly(styrene-b-butadiene-b-styrene) (SBS) copolymers were used in different amounts as modifiers in PP/hemp fibers (HF) composites, with the aim to use them for electrical vehicle parts. The interface in these multiphase systems was controlled by the addition of maleated polypropylene (MAPP). SEBS and SBS showed different effects on the elongation at break of the blends and the corresponding composites due to the HF that stiffened the multiphase systems. Similarly, a different action of MAPP was observed in the composites containing SEBS or SBS: higher Young's and storage moduli were obtained for the composite containing SBS, while greater elongation at break and impact strength values were recorded for the SEBS-containing system. In addition, a remarkable dispersion in the MAPP-containing composite and two times smaller average particle size were revealed by the SEM analysis for the SEBS particles compared to the SBS ones. The higher affinity of SEBS for PP compared to that for SBS and the different morphological characteristics of the systems containing SEBS and SBS may explain the different effects of these impact modifiers on the mechanical properties of the composites. The composites developed in this work were designed as substitutes for the fully synthetic polymeric materials or metal components used in the manufacturing of automotive parts.

Links between components of business continuity management: an implementation perspective

PurposeThis research aims to examine the influences of preceding implementation phases on succeeding phases of business continuity management (BCM) comprising leadership, strategy, planning, application and maintenance.Design/methodology/approachData were gathered from 216 automotive parts manufacturers in Thailand. Descriptive statistics were employed to measure the maturity level of BCM implementation components. Path analysis of structural equation modeling was used to test hypotheses.FindingsThe study's findings found that the intensity of BCM elements decreased following the implementation phases. Leadership and strategy had the highest mean score, while maintenance had the lowest. Preceding phases had significant positive effects on succeeding phases. The direct impact of leadership on maintenance was much weaker than its indirect impact through strategy, planning and application.Originality/valueThis is one of the first examples of empirical research to investigate the sequential links between preceding and succeeding BCM implementation components. Strategic BCM elements and systematic implementation can improve and sustain BCM in the automotive parts industry in Thailand.