Auto Parts Research Articles

Coexistence paradigm of the technological catching up process

Established studies on catching up have mainly overlooked a comprehensive understanding of the process. We examine the Chinese auto parts manufacturing industry’s technological catch-up to derive conclusions about the development paradigm. We address this conundrum by employing a process-based case study to extend the theory of technological catching up. This leads us to call this alternative paradigm coexistence. Coexistence encompasses various interactions between new and old generations in the process of catching up. In our findings, we propose three coexistence scenarios, namely: convergent, asymptotic, and intersectional.

A brief analysis of introducing curriculum ideological and political elements into "Mapping Practice of Auto Parts"

The article focuses on the new requirements of integrating curriculum ideological and political elements into the professional practice course of "Automotive Parts Mapping Practice", proposes feasible curriculum ideological and political elements, establishes the course teaching concept of ideological and political element integration, and discusses the new teaching mode different from the traditional practice course, striving to integrate professional knowledge education, ideological and political education, and students' practical ability training. The course aims to integrate professional knowledge education, ideological and political education and the cultivation of students' practical skills, and comprehensively promote the construction of the teaching content, curriculum system, teaching methods, teaching means, teaching conditions and teaching staff of Mapping Practice of Auto Parts, so as to lay a solid practical foundation for the revitalization of Chinese automotive industry and the cultivation of China's own manufacturing technology engineers for the first line of automotive production.

The Red Thread: The Passaic Textile Strike

The Red Thread: The Passaic Textile Strike

Oportunidade ou necessidade? O caso da ZM S/A

Abstract This teaching case portrays the dilemma of ZM S/A, an auto parts industry, regarding the disruption of B2B to B2C sales channels. With the growing demand for sales through online channels due to the COVID-19 pandemic, the company puts into perspective the feasibility of starting direct sales operations (B2C) through the creation of its own e-commerce or the promotion of its distributors’ online sales. The purpose of the case is to promote reflection on the strategic changes in sales channels and the potential conflicts of creating an e-commerce platform. This is a real case that uses the company’s name and replaces the names of individuals involved for privacy. The construction of the case relied on primary sources, through interviews with those involved, and on secondary sources, through sectoral data. The case can be applied in the final years of undergraduate programs in business administration and graduate programs in strategic marketing and digital marketing, specifically in courses related with business management, organization and marketing strategies, operations management, and innovation.

A Production System for the auto parts industry with elements of Industry 4.0

Paper aims considering that the fourth industrial revolution can be a primary engine for process innovation, this research proposes a 4.0 Production System applicable to the auto parts industry. Originality the study’s relevance is observed from the assimilation of practical issues with the scientific process for constructing a 4.0 Production System for the sector in question. Research method this research is structured from a real case study, proposing an artifact from Design Science Research. Main findings the results obtained provided a competitive advantage to the company, with a reduction of 23% in lead time, 16% in HM/Fuel Tank, 55% in WIP, and 38% in the total distance traveled by operators, in addition to an ROI of 9.22%. Implications for theory and practice the practical application of the artifact showed that its use is viable; however, to extract the maximum potential, it is suggested to insert it into the company's culture.

Policy on the Efficient use of Robotics in the Automobile Parts Industry

Globally, automobile companies are converting labor-intensive processes to automated processes to secure competitiveness and reduce costs. In 2020, Korea was the fifth largest automobile producer; however, it faced a population decline and rising labor costs. Korean auto parts companies are in a dilemma-whether to adopt manufacturing robots and have trouble due to financial burden or suffer the lack of technology. Hence, Korean auto parts companies often receive national policy funding to adopt manufacturing robots. Therefore, for sustainable policy support, the efficiency and productivity of manufacturing robot adoption must be analyzed considering government policy support. We divided the activities of automobile parts companies into operating activity and financing activity consisting of production and sales. Moreover, we used the Dynamic Network Slacks-Based Measure (DNSBM) model. This study used KIS-VALUE data from Korea. The analysis results revealed that the overall efficiency (0.3822) was low because of the low efficiency of operating activity productivity (0.4342) and the gap between operating activity productivity and financing activity efficiency (0.7702). Moreover, the total factor productivity (0.9534) decreased because of decreases in operating activity productivity (0.9507) and financing activity productivity (0.9841). From 2016 to 2020, when the manufacturing robot adoption policy was implemented, the difference in corporate efficiency according to policy support was significant. Korea’s manufacturing robot adoption policy contributes to the improvement of corporate competitiveness. This study presents the objective evidence necessary for future policy establishment to direct resource readjustment of Korean auto parts companies and analyze past policy.

Selecting slacks-based data envelopment analysis models

Data envelopment analysis (DEA) is a well-known data-driven mathematical modeling approach that aims at evaluating the relative efficiency of a set of comparable decision making units (DMUs) with multiple inputs and multiple outputs. The number of inputs and outputs (performance factors) plays a vital role for successful applications of DEA. There is a statistical and empirical rule in DEA that if the number of performance factors is high in comparison with the number of DMUs, then a large percentage of the units will be determined as efficient, which is questionable and unacceptable in the performance evaluation context. However, in some real-world applications, the number of performance factors is relatively larger than the number of DMUs. To cope with this issue, selecting models have been developed to select a subset of performance factors that lead to acceptable results.In this paper, we extend a pair of optimistic and pessimistic approaches, involving two alternative individual and summative selecting models, based on the slacks-based model. We mathematically validate the proposed models with some theorems and lemmas and illustrate the applicability of our models using 18 active auto part companies in the largest stock exchange in Iran.

Layout Redesign to Eliminate Stagnation Using Blocplan to Increase Production Efficiency

The rapid growth of the automotive industry was also followed by growth in subsidiary companies. One of the subsidiary companies is a company that produces auto parts such as wheels. Sales volume in 2021 increased to more than 2 million products while for 2022 to April it was more than 1 million products. High demand is not accommodated due to inadequate production capacity, one of which is the machining area. This study aims to increase efficiency by redesigning the layout of the factory which is considered to increase production results in the machining area. The method used in this research is Block Layout Overview with Computerized Planning using Logic and Algorithm (Blocplan). The results showed that the redesign of the machining area could reduce stagnation by adding 1 unit of multi drill machine. Relayout in the machining area can reduce 93” time stagnation for the K2SA rear ABS type which can produce 2 outputs at once. The delay in the machining area can be reduced from 4,863 seconds to 0 seconds.

Monitoring the Production Information of Conventional Machining Equipment Based on Edge Computing.

A production status monitoring method based on edge computing is proposed for traditional machining offline equipment to address the deficiencies that traditional machining offline equipment have, which cannot automatically count the number of parts produced, obtain part processing time information, and discern anomalous operation status. Firstly, the total current signal of the collected equipment was filtered to extract the processing segment data. The processing segment data were then used to manually calibrate the feature vector of the equipment for specific parts and processes, and the feature vector was used as a reference to match with the real-time electric current data on the edge device to identify and obtain the processing start time, processing end time, and anomalous marks for each part. Finally, the information was uploaded to further obtain the part processing time, loading and unloading standby time, and the cause of the anomaly. To verify the reliability of the method, a prototype system was built, and extensive experiments were conducted on many different types of equipment in an auto parts manufacturer. The experimental results show that the proposed monitoring algorithm based on the calibration vector can stably and effectively identify the production information of each part on an independently developed edge device.

The Impact of Perceived Quality and Perceived Value On Customer Satisfaction and Loyalty

One of the key elements that determines a business's financial and general success is customer loyalty. Because they are happy with the products they have already purchased, customers become loyal. Customer loyalty is ultimately a result of customer satisfaction. The purpose of this study is to ascertain whether perceived value and quality affect customers' satisfaction and loyalty with autoparts products. This study included 132 respondents who were auto parts customers. The results showed that customer satisfaction is significantly impacted by perceived quality. Customer loyalty is not directly influenced by a perceived quality, but it is indirectly affected by it. Customer satisfaction is significantly impacted by value perception. Customer loyalty is influenced by perceived value both directly and indirectly. Along with customer satisfaction, which significantly affects customer loyalty. Keywords: Quality Perception, Value Perception, Customer Satisfaction, Customer Loyalty

Emission characteristics and ozone formation potential assessment of volatile organic compounds in water-based paint auto parts electrophoresis enterprises

Emission characteristics and ozone formation potential assessment of volatile organic compounds in water-based paint auto parts electrophoresis enterprises

Hazard identification for risk assessment using the PRA technique in the automotive industry

The article presents a case study of an International Company of the Automotive Sector, which is dedicated to the manufacture of auto parts to supply the needs of Mexico, Brazil, the United States and China. It is important for the company to constantly improve; in this case it seeks to adapt the conditions of its OOccupational Health and Safety Management system to the applicable legal requirements to create safe work environments and thereby reduce work-related accidents. La methodology was divided in two sections, first section general information the automotive plant which include management and organization, localization, environment and surroundings, dangerous substances, hazardous installations and activities, and finally services. For de second section include the Preliminary Hazard Analysis PHA, Proportional Risk Assessment PRA Technique and principle ALARA. The results showed that there were 22 accidents in the 2018–2020 period, the accidents were classified into six categories according to the sources of danger that caused them. Two estimates were made, in the first the highest value was 70 related to the unsafe acts category and the lowest 18 from the category accidents caused outside the work facilities. Twenty-one immediate actions were also implemented, where the accidents were not considered serious. For the second estimate, the highest value of 70 dropped to 56 and the lowest value of 18 remained the same. Finally, it is recommended to standardize the data collection formats to the parameters requested by the PHA, PRA technique and ALARA Principle to perform a faster analysis of the information, it is also proposed that the risk assessment be part of the daily activities of Management of the System; As a line of future research, a methodology could be applied to implement a better safety culture in workers to reduce unsafe acts in addition to training programs.

The Optimization of Spheroidizing Heat Treatment Parameters on SCM440 Alloy Steel Wires Using Taguchi Robust Design

In the fastener industry, SCM440 alloy steel wire is widely used in the production of cold forging parts, such as high-strength steel fasteners, auto parts, hardware supplies, etc. The wire manufacturers use an intercritical process for spheroidized annealing the alloy steel wires. The quality of a spheroidized annealed wire affects the cold forging quality of fasteners. A series of experimental tests on SCM440 alloy steel wires is carried out in a commercial hydrogen furnace. Various parameters such as spheroidized annealing temperature (A), prolonged heating time (E), holding temperature and time (B, C), cooling rate and temperature (D, F) affect the quality characteristics of wires, such as tensile strength, hardness and ductility. The effects of intercritical spheroidized annealing treatment on mechanical properties are investigated using Taguchi robust design to obtain optimal spheroidized annealing conditions to improve the mechanical properties of alloy steel wires for cold forming. It is experimentally revealed that the spheroidized annealing temperature (A), cooling rate and temperature (D, F) significantly affect the quality of spheroidizing annealed SCM440 alloy steel wires. The optimal spheroidized annealing conditions for SCM440 alloy steel wire are spheroidized annealing temperature of 771°C and prolonged heating for 5.0 h, then holding the temperature of 725°C for 1.0 h, and slowly cooling to the temperature of 713°C at the rate of -9°C /h. Therefore, the optimal mean tensile strength of 520.0 MPa, optimal mean hardness of 80.8 HRB, and optimal mean ductility of 0.488 are obtained. The variations of the properties are significantly reduced to achieve a much even quality for annealed wires. The optimal spheroidizing heat treatment parameter settings evidently improve the performance measures and the cold formability of SCM440 alloy steel wires is effectively improved.

Numerical and Experimental Studies on the Load Characteristics of Geometric Interference of Steel-Aluminum Knurled Interference Fit

This research studied the knurled interference fits (KIF) jointing process, which involves connection via a shaft and hub. KIF are widely used in many industries and products, but the related research is limited, especially in the case of auto parts. To confirm the optimal parameters for KIF joining, two different simulations in the finite element method (FEM), two hub thicknesses, three geometry versions, and four coefficients of friction (COF) were adopted to simulate the KIF forming process in this study. All the parameters were investigated in detail and accurately referred to experimental examination outcomes. The simulations and the experimental results offered explicit explanations of the relationship between jointing force and geometry dimensions. The hub-forming shape and the simulation of hoop deformation were analyzed, and the analysis results provide useful suggestions for other related industrial research as well.

Estimation of Automotive Parts and Manufacturing Company Using ELECTRE Method

Discussions about remanufacturing was pioneered in the early 1900s by the first remanufacturing association, the Automotive Parts Remanufacturers Association (APRA), active since 1941.Since then, auto parts remanufacturing has gone through many evolutions and spread all over the place, growing and growing countries. Although the rules and regulations were enacted as early as 1940, history reveals that Robert Lund was the pioneering researcher in reproduction due to his major contributions to the field. Lund (1996) surveyed remanufacturers and found that tires, toner, cartridge, electrical equipment and auto parts dominate. Relative to cost and availability of replacement parts to auto parts remanufacturing, design issues, product diversity, clean efficiency, and workforce efficiency were considered, along with obtained through detailed discussions and studies among the breeders in Florida. Major acquisition planning in car parts remanufacturing is investigated through a comprehensive study among US auto parts remanufacturers to balance customer service avoid supply chain complexity Operations uncontrolled key inventory situations. Multi-criteria decision making (MCDM) is one of several decision-making methods used to select the best alternative based on several alternatives on some criteria; One of the methods that can be used is the Law of Elimination ET tests. The Realize (ELECTRE) comments that the method works users pair-wise comparisons of appropriate criteria based on each alternative. User values and speed ranking process, selection web-based application, because there is a lot of research about the decision support system, but only some are used for the application, and this research tries to use the ELECTRE method for web-based application.The alternatives are rajsriya automotive industries PVT. Ltd (A1), Numann Auto Products Pvt. Ltd (A2), Sundram Precision Components Ltd (A3), Prabha Automotive Engineers Pvt Ltd (A4). The Evaluation Parameter are Supply chain manager (DM1), Production manager (DM2), Shipping manager (DM3), Shipping supervisor (DM4), Continuous improvement manager (DM5).

Analysis of stamping dezincification of DP590 alloyed hot dip galvanized dual phase steel

with the requirements of vehicle lightweight and safety performance, dual phase steel is more and more widely used in vehicles. However, the stamping of the sheet has attracted more attention due to the increased use of dual-phase steels in auto parts. In this paper, the surface morphology, composition, surface kinetic friction coefficient, and plate thickness change rate of stamping plates were detected, calculated, and analyzed respectively. Based on solving the problem of the dezincification defect of DP590 alloyed hot-dip galvanized dual-phase steel during stamping. In addition, the stamping die was also investigated and analyzed, The results showed that the stamping die has deteriorated beyond the service life, resulting in the reduction of the adaptability between the die and the material. More importantly, the low Fe content and high dynamic friction coefficient of the surface of the stamped plate made the zinc layer unable to keep up with the tensile deformation of the substrate during stamping, which was the main factor for the lamellar detachment at the interface between the zinc layer and the substrate. By updating the dies and improving the plate design, the stamping dezincification defects of the sheet have basically disappeared.

Cause analysis of stamping cracking and concealed cracking of tailgate inner plate

With the development of automobiles toward lightweight and comfort, the production of auto parts has higher and higher requirements for stamping materials and parts forming quality. During the stamping and manufacturing process of the passenger car tailgate inner plate, the tailgate inner plate has many cracks, concealed cracks, and other defects. In this paper, the fracture morphology of the defect section was observed, and the composition and mechanical properties were measured. At the same time, the production process of the steel plate and the working condition of the stamping die were analyzed. The results show that the cracking and concealed cracking defects of stamping sheets are mainly caused by the inclusion of die and sheet. Through the adjustment of the plate production process and mold, the cracking and concealed cracking defects disappeared. This work also provides a reference for the solution to stamping cracking defects in the future.

Exploration on the Teaching Reform of Automobile Parts Design Course in Higher Vocational Colleges Based on the Double Line Mixed Teaching

In recent years, with the continuous promotion of information based teaching, the theory and practice of double line mixed teaching have also been further developed. Because of its comprehensive knowledge, difficult parameter design and selection, and high requirements for software operation skills, auto parts design often becomes a learning difficulty for college auto majors. Based on the online and offline mixed teaching, integrate the post course competition certificate, strengthen the students' professional quality and professional ethics awareness, establish correct values and engineering ideas, fully use virtual simulation technology, high-quality online courses, professional teaching videos and loose leaf workbooks, and deeply understand the design requirements of related products from all dimensions. Analyzes the characteristics of double line mixed teaching and explores the implementation of teaching, so as to provide reference for the teaching reform of related courses in colleges and universities.

Optimising zero-valent iron from industrial waste using a modified air-Fenton system to treat cutting oil wastewater using response surface methodology

This study investigates the treatment of cutting oil wastewater from the automotive parts manufacturing industry to promote sustainability via the use of ‘used shot blasts’, which are the by-products of auto parts production. Used shot blasts are rich iron sources of Fe 0 , which becomes an effective catalyst in the Fenton reaction. A modified air-Fenton (MAF) system was proposed to generate hydroxyl radicals that eliminated recalcitrant organics in cutting oil wastewater. First, the Taguchi method, comprising the L18 orthogonal array design, was used to identify significant operation factors, including the size and amount of used shot blasts, initial pH, reaction time, mixing speed, initial cutting oil concentration, and air flow rate. Then, a central composite rotatable design coupled with response surface methodology (RSM) was used to determine the optimal conditions and model the influencing variables. The results provided three crucial variables for the cutting oil wastewater treatment through use of the MAF system: initial pH, the amount of used shot blasts, and initial cutting oil concentration. RSM was applied to reveal the optimum operating conditions, achieving a maximum removal efficiency of 92.82% for chemical oxygen demand (COD), 80.18% for total organic carbon (TOC), and 99.55% for turbidity within 45 min of operating the MAF system. The model agreed well with the experimental data, with coefficient of determination values of 0.9819, 0.9654, and 0.9715 for COD, TOC, and turbidity removal efficiency, respectively. Pseudo-second-order reaction kinetics fitted well for COD removal, with a rate constant of 0.0218 min −1 and hydrogen peroxide generation of 0.0169 M. Overall, the proposed MAF system was efficient and had a low operating cost (0.67 USD/m 3 ).

Financial Performance Assessment Of The First Private Auto Parts Company In Indonesia Based On Ratio Analysis

Objective: This study aims to determine the effect of liquidity (CR) and NPM on the profitability (ROA) of auto parts companies listed on the Indonesia Stock Exchange for the period 2011 – 2020. Methodology: This study adopts a quantitative descriptive methodology, collecting financial statements of companies that have been listed on the IDX. The measurement model and hypothesis testing were carried out using SPSS software. .Findings: The results show that the Current Ratio has no significant effect on Return on Assets Net Profit Margin has a significant effect on Return on Assets and the Current Ratio and Net Profit Margin simultaneously have a significant effect on Return On Assets. Conclusion: Assessment of financial performance at auto parts companies simultaneously has a significant effect on Return on Assets and partial Net Profit Margin has a significant effect on Return on Assets while the Current Ratio has no significant effect on Return on Assets