Search results

The purpose of this paper is to propose and analyse computationally a new concept for mechanical interlocking between metal and plastics. The approach utilizes some of the ideas used in the spot‐clinching joining process and is appropriately named “clinch‐lock polymer metal hybrid (PMH) technology.”

A new approach, the so‐called “direct‐adhesion” PMH technology, is recently proposed Grujicic et al. to help meet the needs of automotive original equipment manufacturers and their suppliers for a cost‐effective, robust, reliable PMH technology which can be used for the manufacturing of load‐bearing body‐in‐white (BIW) components and which is compatible with the current BIW manufacturing‐process chain. Within this approach, the necessary level of polymer‐to‐metal mechanical interconnectivity is attained through direct adhesion and mechanical interlocking.

In an attempt to fully assess the potential of the clinch‐lock approach for providing the required level of metal/polymer mechanical interlocking, a set of finite‐element based sheet‐metal forming, injection molding and structural mechanics analyses is carried out. The results obtained show that stiffness and buckling resistance levels can be attained which are comparable with those observed in the competing injection over‐molding PMH process but with an ∼3 percent lower weight (of the polymer subcomponent) and without the need for holes and for over‐molding of the free edges of the metal stamping.

The paper presents a useful discussion of clinch‐lock joining technology's potential for fabrication of PMH load‐bearing BIW components.

Application of the engineering design optimization methods and tools to the design of automotive body‐in‐white (BIW) structural components made of polymer metal hybrid (PMH) materials is considered. Specifically, the use of topology optimization in identifying the optimal initial designs and the use of size and shape optimization techniques in defining the final designs is discussed. The optimization analyses employed were required to account for the fact that the BIW structural PMH component in question may be subjected to different in‐service loads be designed for stiffness, strength or buckling resistance and that it must be manufacturable using conventional injection over‐molding. The paper demonstrates the use of various engineering tools, i.e. a CAD program to create the solid model of the PMH component, a meshing program to ensure mesh matching across the polymer/metal interfaces, a linear‐static analysis based topology optimization tool to generate an initial design, a nonlinear statics‐based size and shape optimization program to obtained the final design and a mold‐filling simulation tool to validate manufacturability of the PMH component.

Warranty-based big data analysis has attracted a great deal of attention because of its key capabilities and role in improving product quality while minimizing costs. Information and details about particular parts (components) repair and replacement during the warranty term, usually stored in the after-sales service database, can be used to solve problems in a variety of sectors. Due to the small number of studies related to the complete analysis of parts failure patterns in the automotive industry in the literature, this paper focuses on discovering and assessing the impact of lesser-studied factors on the failure of auto parts in the warranty period from the after-sales data of an automotive manufacturer.

The interconnected method used in this study for analyzing failure patterns is formed by combining association rules (AR) mining and Bayesian networks (BNs).

This research utilized AR analysis to extract valuable information from warranty data, exploring the relationship between component failure, time and location. Additionally, BNs were employed to investigate other potential factors influencing component failure, which could not be identified using Association Rules alone. This approach provided a more comprehensive evaluation of the data and valuable insights for decision-making in relevant industries.

This study's findings are believed to be practical in achieving a better dissection and providing a comprehensive package that can be utilized to increase component quality and overcome cross-sectional solutions. The integration of these methods allowed for a wider exploration of potential factors influencing component failure, enhancing the validity and depth of the research findings.

The purpose of this paper is to investigate the status of lean manufacturing in Indian automotive sector, component manufacturing industries in terms of lean adoption, benefits, motivation, and challenges of implementing lean manufacturing practices.

The research objectives were achieved by conducting a qualitative multicase study approach. Fourteen Indian automotive component manufacturing small and medium-sized enterprises (SMEs) were chosen based on their different product offerings as well as differing approaches to the introduction and implementation of lean initiatives. Data were collected through in-depth, semistructured interviews supported by shop-floor observations.

The findings from the present study suggest that some of the participating automotive component manufacturing SMEs have a relatively good understanding of lean concepts and philosophy. However, there is room for further improvement for most SMEs. Major top five lean practices being implemented were found to be cellular manufacturing, total productive maintenance, 5S, work standardization, and quality management practices. Also, leadership and organizational culture were found to be crucial factors for the success of lean manufacturing.

The fact that the data collected for the research study is based on subjective business evidence obtained from company representatives comprises the main limitation of the present study. So, the results should be considered with caution, as far as the lean adoption in Indian automotive component manufacturing sector is concerned.

Based on the present study, suggestions can be made regarding the successful adoption of lean principles, not only for the participating SMEs but also for the whole of the automotive component manufacturing sector. More specifically, by determining the strength and weakness of automotive component manufacturing SME's effort to adopt lean, suitable managerial initiatives can be undertaken by these companies as well as the whole sector to fully adopt lean and derive the respective benefits.

This paper explores the status of lean adoption in Indian automotive component manufacturing SMEs. Considering the unique characteristics of the automotive component manufacturing industry, the present research would be helpful for making strategies to implement lean in automotive component manufacturing industry setups.

Analyses buyer‐supplier relationships in the Spanish automotive industry. Nearly half of the companies interviewed co‐operate with customers, suppliers, and technological centres to improve their production processes, but only two companies co‐operate with their customers in component development and design. The use of just‐in‐time delivery depends on the percentage of trained employees, the use of common components and the adoption of flexible automation. A classification of the cases studied is made along a number of buyer‐supplier partnership dimensions.

Training and development at a company that supplies components to the automotive industry could provide a template for business growth and development in an increasingly complex business world. INA Llanelli is the production facility for INA Bearing Company Ltd., a UK subsidiary of the German‐owned international group, INA Schaeffler KG. The Llanelli plant – which specializes in making bearings, precision components, mechanical tappets and tension pulleys, most of which are supplied to the automotive industry – recently won the people‐development company prize at the 2003 Welsh Business Awards.

In recent times, reverse logistics (RL) is gaining significant traction in various automobile industries to recapture returned vehicles’ value. A good RL program can lower manufacturing costs, establish a green supply chain, enhance customer satisfaction and provide a competitive advantage. However, reducing disruptions and increasing operational efficiency in the automobile RL requires implementing innovative technology to improve information flow and security. Thus, this manuscript aims to examine the hurdles in automobile RL activities and how they can be effectively tackled by blockchain technology (BCT). Merging BCT and RL provides the entire automobile industry a chance to generate value for its consumers through effective vehicle return policies, manufacturing cost reduction, maintenance records tracking, administration of vehicle information and a clear payment record of insurance contracts.

This research is presented in three stages to accomplish the task. First, previous literature and experts' opinions are examined to highlight certain factors that are an aggravation to BCT implementation. Next, this study proposed an interval-valued intuitionistic fuzzy set (IVIFS) – decision-making trial and evaluation laboratory (DEMATEL) with Choquet integral framework for computing and analyzing the comparative results of factor interrelationships. Finally, the causal outline diagrams are plotted to determine the influence of factors on one another for BCT implementation in automobile RL.

This study has categorized the barriers to BCT implementation into five major factors – operational and strategical, technical, knowledge and behavioral, financial and infrastructural, and government rules and regulations. The results revealed that disreputable technology, low-bearing capacity of IT systems and operational inefficiency are the most significant factors to be dealt with by automobile industry professionals for finer and enhanced RL processes utilizing BCT. The most noticeable advantage of BCT is its enormous amount of data, permitting automobile RL to develop client experience through real-time data insights.

This study reveals several factors that are hindering the implementation of BCT in RL activities of the automobile industry. The results can assist experts and policymakers improve their existing decision-making systems while making an effort to implement BCT into the automobile industry's RL activities.

Although there are several studies on the benefits of BCT in RL and the adoption of BCT in the automobile industry, individually, none have explicated the use of BCT in automobile RL. This is also the first kind of study that has used IVIFS-DEMATEL with the Choquet integral framework for computing and analyzing the comparative results of factor interrelationships hindering BCT implementation in automobile RL activities.

Building industrial clusters is getting much more political attention and strategic orientation in all developing countries. This study started by revising the conceptual and theoretical frameworks for industrial clusters, followed by some insights and contributions about empirical bases for clusters' dynamics and processes. The study focused on the case of Agadir Agreement between four Arab countries (Egypt, Jordon, Morocco, and Tunisia), which was initiated after the Euro-Mediterranean partnerships, and the rationale of the agreement was based on the concept of cumulative value-added origin. The study based its methodology on analyzing the international and bilateral trade flows of six industrial goods from the automotive sector among the four countries and with the EU countries to detect the degree of industrial collaboration and the achieved success of each country in this sector. The study indicated that the four countries used the concept of industrial clusters for economic development, but the results of the analysis showed that till now Agadir Agreement only achieved a shallow integration, while failed to deeply integrate as one big collaborative industrial cluster.

To provide in‐depth insights into one specific product recovery operation (remanufacturing) in the automotive sector, taking the example of original equipment manufacturers (OEM).

The research was undertaken within the engine remanufacturing facilities of a major European car manufacturer. The main data collection methods were open‐ended, non‐directive interviews and process observation. In addition, secondary data (internal company reports and documentation) were collected. Overall, a total of 64 interviews were conducted within the engine remanufacturing plant.

The case study revealed that the remanufacturing processes included challenges that have been traditionally investigated within “conventional” operations and supply chain management, such as high inventory levels or process through‐put times. It was also found that product take‐back and recovery in the automotive sector do not necessarily stem from a company's mission statement that includes (sustainable) responsibility, but are based on other motives. These motivations include the long‐term supply of spare parts, for example.

The findings are limited to one specific European car manufacturer and may therefore not necessarily apply to the independent automotive remanufacturing sector or to other OEM remanufacturers.

The case study gives an in‐depth insight into the issues within automotive product take‐back and recovery, the types of obstacles that may occur as well as how these may be overcome in the real world.

The findings provide new, real‐world insights for academia, but also feedback to industry by providing an in‐depth account of current automotive remanufacturing practices undertaken by the OEM.