Auto Parts Research Articles

Retraction Note: Network Attribute Analysis and Competitiveness Evaluation of Auto Parts Industry Cluster for e-Commerce Platform

Retraction Note: Network Attribute Analysis and Competitiveness Evaluation of Auto Parts Industry Cluster for e-Commerce Platform

Raw material management for rubber parts manufacturing supply chain using the LPSC model

The paper proposes a new raw material cost management concept in the rubber parts supply chain using the Linear Programming Sharing Cost (LPSC). Rubber parts are widely used in the auto parts industry. There are a variety of product models and material types as well as produced by several subcontractors in the 2nd Tier companies. However, the whole chain controls overall cost management as the 1st Tier company. Cost-effective models are more important in the competitive era.The research methodology combined linear programming (LP) with sharing cost (SC) and was applied to inventory management. The LPSC model is developed to deal with Tier 1 companies linked with Tier 2 companies of the subcontractors. The LPSC is combined with the EOQ inventory management model.A new approach has been developed to reduce the cost of raw material management in the rubber part supply chain.The limitation of the model development is that it does not yet have real-time control of the supply chain management system.The conceptual idea was introduced to Thailand's automotive rubber part supply chain and accepted for testing with the pilot test of actual orders.The paper presents the new conceptual raw material cost management model in the automotive rubber part supply chain. The LPSC combined with EOQ is effective, increases value to the supply chain, and simultaneously reduces waste and overproduction.

Research on After Marketing Innovation of Automobile Spare Parts

This study selected company a as the study case company. Adopting the method of in-depth interview as the main method, inviting four management personnel of company A to conduct the interview, and adopting the correct recording method in the interview, and putting forward the research conclusion. The marketing strategy is directly related to the development strategy of the enterprise. Nowadays, the competitive auto parts enterprises in the automobile market should not only plan and develop the strategy, but also formulate the marketing strategy, adapt to the enterprise development strategy according to the different market demand, so as to improve the market response speed, adapt to the market changes and enhance the core competitiveness. In the past, A company only used a single channel to enter the market today, customer segmentation and possible growth channels, more and more enterprises to take multi-channel marketing, it is recommended that A company on the original basis to increase the new customer base.

Dimensions of Digital Transformation for Digital Supply Chains—Evidence from an Automotive OEM Group

Overview: This article explores the implications of digital transformation on digital supply chains, particularly in a group of automotive companies. We conducted an in-depth case study in a conglomerate of companies that supply auto parts to original equipment manufacturers (OEMs) located in southern Brazil. This case was intentionally chosen because of the Randon Company’s commitment to innovative practices during the digital transformation process. We identified five dimensions of digital transformation that impact digital supply chain performance: (1) digital governance, (2) smart digital networks, (3) digital empowerment, (4) digital automation, and (5) digital workforce. Demands for greater efficiency, new technologies, market differentiation, innovation, and sustainability drive digital supply chains to strongly interact with these dimensions. We propose a multidimensional framework that highlights the dynamics and interdependence of these digital transformation dimensions and how they can potentially meet digital supply chain demands. We provide managerial implications and ideas for future research.

Impact of various heat treatment processes and welding speeds on the mechanical properties and microstructures of soft/hard composite joints

There is a certain contradiction between the formability and strength of auto parts. In this work, the whole-process processing technology of hot stamping soft steel was designed, and 500 MPa grade mild steel (500HS) with uniform microstructure was prepared. To take into account the strength and formability of hot stamping soft steel, here, based on laser welding technology, 500 MPa grade soft steel, and 1500 MPa grade hard steel are benignly composited, and by adjusting the laser welding speed and heat treatment process, the loss of mechanical properties caused by the weld seam is eliminated. A soft/hard composite steel for automobiles with excellent strength, ductility and formability is obtained. To maintain excellent deformation resistance and bonding force of the weld, the heat-affected zone of 500HS retains part of bainite and pearlite, which is beneficial to the strain compatibility and stress partitioning with the microstructure of the base metal, and the hardness is low. After heat treatment, which helps to transfer the stress concentration effect to the 500HS base metal with strong energy absorption capacity, so that the clad steel has excellent comprehensive mechanical properties. This process is developed based on existing industrialized equipment and has broad application prospects.

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.

Fuzzy Logic Method for Measuring Sustainable Decent Work Levels as a Corporate Social Responsibility Approach

The purpose of this study was to propose an interactive computer system that utilises the MATLAB Fuzzy Logic Designer to measure the level of implementation of SDG 8, which focuses on sustainable decent work (SDW) and economic growth. This study used policies and laws as parameters to determine the presence or absence of SDW. The fuzzy method was implemented in car windshield manufacturing in the auto parts industry as a case study to define and quantify work conditions and to determine the level of sustainable decent work (SDWL). The study described environmental conditions, such as noise, lighting, and heat stress; ergonomic factors, such as exposure time, the mass of the object manipulated, and lifting frequency; and organisation at work, such as workplace violence, salary, and workday, as linguistic variables. The level of the presence or absence of SDW was defined as their membership functions. The resulting vectors determined the absence of SDW with a score of 1.5 in two linguistic variables: environmental conditions and ergonomic factors. Some features of SDW in the linguistic variable organisation at work had an SDW score of 5. The SDWL vector determined a final score of 1.24, indicating the absence of decent work in production areas. This study found that the workers suffer a lack of long and healthy lives and a bad standard of living without economic growth due to work-related musculoskeletal disorders and work illnesses, increasing their out-of-pocket spending and catastrophic health expenses. As a CSR approach, assessing SDWLs helped managers improve policies and work conditions.

The Optimization of Automobile Part Product Development Using Integrated Product Development (IPD)

This paper studies a new integrated product development (IPD) process at an automobile parts company. The process includes benchmarking and offers four optimization strategies for the new product development process: (1) re-structuring the new product development organization astraddle department teams, (2) reshaping the new product development and selection process already at the planning and conceptual design stages, (3) optimizing the design review process at the engineering stage, and (4) establishing a product development team with large project manager responsibilities in the industrialization stage so as to give full play to the guiding role of expert resources. This paper can help enhance the competitiveness of domestic auto parts enterprises compared to leading foreign auto parts enterprises.

The influence of femicide on criminal behavior: An empirical approach using economic complexity for crime prevention in Mexico

Following the economic complexity methodology introduced by Hausmann et al. (2013), this study establishes an order of crime evolution in Mexico. This ordering is based on the complexity of crimes, as determined by the capabilities required to commit them. According to the study, the least complex crimes in Mexico include robbery in collective public transport, robbery in individual transport, counterfeiting, and auto parts theft. On the other hand, the crimes characterized by the highest complexity involve organized crime, intentional and unintentional homicide, and the trafficking of minors. Furthermore, the analysis reveals that femicide and rape exhibit the most significant centrality or influence within the criminal network. According to the model, crimes associated with violence against women are those that most increase the probability of committing another crime. Therefore, targeted prevention efforts aimed at reducing femicide and rape may substantially impact overall levels of criminality in Mexico. This study also highlights the importance of addressing violence against women in designing crime prevention policies in Mexico. Moreover, the methodology adopted in this study can be reinterpreted as a spectral clustering algorithm and thus also contributes to the literature on machine learning applications in public policy design.

Design for Additive Manufacturing (DFAM) applied in the manufacture of Master Sample for the automotive industry

In order to supply auto parts to the automotive industry the companies must meet all Advanced Product Quality Planning (APQP) requirements. One of the biggest difficulties in obtaining the approval of the APQP is in the preparation of the “Master Sample,” which will be used for the validation of jigs, production, and dimensional control devices. The procedures for manufacturing Master Samples through conventional manufacturing processes are outdated, slow, and cost-effective, which goes against the concepts of Industry 4.0. Therefore, this work aims to propose a procedure for Design for Additive Manufacturing (DFAM) that analyzes the feasibility and systematizes the manufacture of Master Sample through Additive Manufacturing (AM). Two model parts were submitted to the procedure, manufactured by AM and validated as Master Samples. In this work, a comparative analysis between the parts produced conventionally and those produced by AM showed that the time and costs in order to obtain the Master Samples using the proposed procedure was significantly shorter. The reduction in time to obtain Master Samples speeds up the evaluation and validation of control devices from suppliers, can speed up the acquisition of APQP documentation and reduce the time in the development of the serial parts by manufacturing process. Furthermore, the use of the proposed DFAM procedure is innovative in the context of the automotive industry, as it suggests a change in the production concept and inserts AM as another option in the manufacturing process and not just as a rapid prototyping tool.

Ford tries olive tree fibers as reinforcing material for PP parts

On January 11, 2024, Ford reported that Ford engineers in Cologne launched an innovative research project to explore how waste from pruning olive trees could be repurpose to create auto part prototypes.

Topology Optimization Design of Typical Functional Structural Parts

Topology optimization is a commonly used lightweight design method that involves reducing the weight ofstructural parts while retaining their function. It is widely used in the lightweight design of auto parts. In this paper, thetopology optimization of a typical structural part was analyzed by using the relative density method. Calculations indicatedthat the strength of the structural part could be maintained under 70% mass reduction. The results of the analysis showedthat this method helps improve the structure of parts.

Enhancing Choquet integral in risk assessment of auto parts manufacturing process in the network structure of failure modes

Enhancing Choquet integral in risk assessment of auto parts manufacturing process in the network structure of failure modes

A new approach to risk assessment in failure mode and effect analysis based on engineering textual data

Failure Mode and Effect Analysis (FMEA) is a valuable tool for improving the quality of products and service systems. However, traditional FMEA methods require examining various engineering textual materials and attending multiple meetings, which can be time-intensive. Additionally, accurately evaluating the severity (S), occurrence (O), and detection (D) of failure modes is essential to ensure the accuracy of FMEA results. Despite efforts by researchers to improve the efficiency of FMEA, the evaluation of these risk factors (S, O, and D) still relies too heavily on a manual and inefficient process. To address these issues, this paper proposes a machine learning-enabled FMEA approach. This new approach combines the strengths of the BERT (Bidirectional Encoder Representations from Transformers) model in transforming textual failure descriptions into word vectors, the advantages of the VSM (Vector Space Model) in determining semantic similarity between different failure modes, and the merits of TOPSIS based on objective weights in handling multicriteria risk assessment. The proposed approach was applied to an actual case study for failure mode and effect analysis in auto parts processing. Comparisons between the proposed method and conventional FMEA were conducted to demonstrate the effectiveness of the new approach.

Reduction of Cr(VI) by planktonic cells and biofilm of Acinetobacter sp. (ADHR1) isolated from electroplating wastewater

In this research it was possible to analyze the capacity of Acinetobacter sp. (ADHR1) bacteria to reduce chromium (VI). Bacteria isolated from residual effluents from automobile chrome plating processes auto parts were identified by phenotypiic and genotypic methods. ADHR1 was able to 100% reduce Cr(VI) to Cr(III), resulting in: 100–500 mg / L of Cr(VI) in a lapse of time between 18 to 24 h; likewise, it was possible to show the reduction process in concentrations of 2000 mg / L which was 73% as a result. In addition to this, it was also possible to show that planktonic cells had a greater capacity to reduce hexavalent chromium compared to biofilm cells. The ChrR gene was amplified by PCR confirming the presence of the chromate reductase enzyme. The reduction in chromium was attributed to the presence of the nicotinamide adenine dinucleotide hydrogen (NADH) dependent enzyme chromate reductase in the cytosolic fraction and in the membrane associated fraction. In conclusion, Acinetobacter sp. (ADHR1) used in the study showed great potential to reduce different concentrations of Cr(VI). This research represents a truly eco-friendly alternative in the removal of sites contaminated by metals, knowing the Acinetobacter sp. (ADHR1) has the ability to reduce Cr(VI).

Evaluating of suppliers selection in auto parts manufacturing company using DEMATEL and TOPSIS

Evaluating of suppliers selection in auto parts manufacturing company using DEMATEL and TOPSIS

Assessment of AMTs on performance of auto parts manufacturing-A case study

Assessment of AMTs on performance of auto parts manufacturing-A case study

Evaluating of Suppliers Selection in Auto Parts Manufacturing Company using DEMATEL and TOPSIS

Evaluating of Suppliers Selection in Auto Parts Manufacturing Company using DEMATEL and TOPSIS

Theoretical determination of histories and carbon concentration profiles in steel resulted from a thermochemical process at a frontier

Steel is used to manufacture auto parts due to its properties and the ability to modify them through solid-state thermal processing. In some cases, the treated alloy itself does not satisfy the requirements of combined properties in the integrity of a single part. In these cases, thermochemical treatments do apply, with which the chemical composition does alter in a localized way. The mechanism of atomic diffusion in the solid is the mean by which atoms of a chemical element can mobilize in the lattice of the crystalline structure and concentrate, depending on the distance penetrated. The mass transport equation adequately describes concentration gradients if the diffusivity property is precisely known. The applicability to the analysis of the carburization method of steel can do a micrometric scale in one dimension. The results obtained on a computer application calculating the carbon concentration profile in iron can be shown. The strategy consists of qualitatively evaluating the distribution of equilibrium phases by optical microscopy and associating it with the carbon concentration profile.

Continuous improvement of the assembly process of an automotive part applying lean manufacturing tools

The object of research: The analysis of the entire assembly process of any automotive part is of utmost importance, given that optimizing any indicator such as time, cost, labor, materials, among others, will allow increasing the productivity and efficiency of the companies.
 Investigated problem: analyze how to reduce cycle time in the assembly process of an automotive part that is sold to Ford, this with the purpose of reducing costs and delivery times by making use of industrial engineering tools, specifically techniques related to lean manufacturing.
 The main scientific results: the assembly process of the upper B Post of the F-CX727 platform was optimized, through continuous improvement tools, improving indicators such as the reduction of cycle time and the cost of the product sold to the customer.
 The scope of practical application of the research results: auto parts companies specialized in the manufacturing of products for the automotive industry require the application of continuous improvement tools necessary to balance assembly lines and make incremental improvements in an organization.
 Innovative technological product: The use of soft techniques and methodologies allows a company to be flexible in its assembly system, this allows it to generate value in its processes as well as the control and reduction of key efficiency indicators.
 Scope of the innovative technological product: the scope of the research work is basically to present the development of continuous improvement techniques for an assembly product made in an auto parts industry in Mexico with the purpose of optimizing the process.