BUILDING CARS TO CUSTOMER ORDER — WHAT DOES IT MEAN FOR INBOUND LOGISTICS OPERATIONS?

The automotive industry is undergoing a strategic transition. Cost pressure from rising stock levels in the market and increasing incentives needed to sell these vehicles are forcing vehicle manufacturers to rethink their prevalent “stock‐push” approach, building vehicles against a forecast and selling from stock, in favor of a stock‐less “build‐to‐order” order fulfillment strategy. More responsive order fulfillment at the vehicle manufacturer level however will not only require flexible and responsive component supply, but will also have wide ramifications for the logistics operations. Based on three case studies of major inbound logistics operations, this exploratory study assesses their ability to support such a build‐to‐order approach, as well as the potential implications of such transition. The paper concludes with a set of general strategies for how these implications could be mitigated.     

An investigation of the cross-border supplier development process: Problems and implications in an emerging economy

This paper is concerned with supplier development in an emerging-market. The context of the study is the interaction between Pakistani suppliers and Japanese automotive manufacturers in equity joint ventures operating in Pakistan. Using a novel approach, drawing data from buyers ‘and’ suppliers, the paper presents a three-stage (evaluation, exploration and interactive) teleological process theory that highlights the key relational, knowledge transfer, and operational factors that signify each stage. Key conclusions are drawn as to the importance of relational ties, and the early importance of absorptive capacity. Notions of stasis implied by predominantly cross-sectional research into supplier development are challenged and the findings reveal many factors that demonstrate temporal dynamics. The paper also highlights CSR dilemmas for developed-country investors who are establishing supplier development programmes in developing economies.     

A汽车公司整车配送模式优化及实施

汽车整车物流的核心在于整车配送,合理的配送模式更有利于汽车企业的管理,更有利于提高公司整车配送质量、降低公司整车配送费用。文中先对A公司整车配送模式及存在问题进行分析,在此基础上提出公司整车配送模式优化、优化后的益处以及具体实施。     

高职汽车技术服务与营销专业课程整合研究

构建适合汽车技术服务与营销专业的课程体系,是高职院校专业建设的核心任务。我们通过对汽车服专业人才培养定位及岗位能力的分析,讨论了课程设置需要处理好的几个关系,进而对汽车技术服务与营销专业课程进行优化整合。     

我国汽车物流发展的问题及对策

随着我国经济的持续快速发展和人民生活水平的日益提高，中国市场的汽车消费迅速膨胀，对汽车物流的需求也越来越高。然而，我国汽车物流方面却存在许多问题，必须采取相关措施，加速汽车物流业的发展。     

An empirical analysis of supply chain risk management in the German automotive industry

The purpose of this paper is the empirical analysis of supply chain risk management practices. The analysis is based on a survey with 67 manufacturing plants conducted in the German automotive industry. After investigating the vulnerability of supply chains in general and examining key drivers of supply chain risks, the paper identifies supply chain risks by analyzing their likelihood to occur and their potential impact on the supply chain. The results are visualized in the probability-impact-matrix distinguishing between internal and external supply chain risks. Furthermore, instruments for dealing with supply chain risks are investigated. Therefore, the impact of supply chain risk management on performance is tested. In order to distinguish between companies with a high degree of supply chain risk management and those with no or only limited implementation the plants are grouped by means of a cluster analysis based on factors reflecting the instruments of supply chain risk management. In particular, groups are created representing two different approaches to deal with supply chain risks, i.e. reactive and preventive supply chain risk management. The clusters are investigated concerning differences in terms of performance criteria. The analyses reveal that companies with a high implementation degree show a better supply chain performance. Furthermore, the results show that the group using reactive supply chain risk management has higher average value in terms of disruptions resilience or the reduction of the bullwhip effect, whereas the group pursuing preventive supply chain risk management has better values concerning flexibility or safety stocks.     

Detailed cost estimating in the automotive industry: Data and information requirements

The automotive industry operates in a very competitive market which requires controlling product costs, improving the product quality and shortening the development lead time. Cost estimation requires quality data and information, therefore this research project identified several issues that hinder this activity, namely a lack of resources and information acquiring and validation difficulties. This research paper presents the various data and information requirements for detailed cost estimating in automotive industry. The research project has identified the common cost estimation process model within the identified industry sector. The study identified the types of data and information requirements for cost estimating. It has also constructed the relevant data infrastructure as the basis for a Web Portal, which is the physical presentation of the information infrastructure. Multiple sources of data collection techniques were employed to identify the types of data needed for detailed cost estimates within a manufacturing company. These techniques include participant observation, semi-structured interviews, process models and document analysis of six different UK based automotive companies. Methods of process modelling like IDEF3 and knowledge capture technique known as X-Pat (eXpert Process Knowledge Analysis Tool) were employed in this study.This study makes several contributions concerning both conceptual and practicable information issues that have long vexed detailed cost estimating practices in the automotive industry. The study conceptually defines the detailed bottom-up information (i.e., individual cost elements and the links between them) needed for an accurate estimate of cost, and shows why each element of information is needed and where it fits into the cost model. To respond to the practicable information vexations, the study shows where to find the necessary cost information and proposes a validation method. The research creates useful knowledge in the form of an improved understanding of information requirements for cost estimates. The benefits to the industry of better cost estimates based on this research at the conceptual design stage include improved cost control and enhanced ability to adjust to anticipated market trends.     

跨国汽车公司环境责任研究——基于动态面板数据的回归分析

本文基于动态面板数据,对13家著名跨国汽车公司进行了实证研究。研究表明,履行环境责任对跨国汽车公司在利润率水平和公司排名等方面产生影响。影响方向可能是正向,也可能是逆向;影响时间可能是即期,也可能是滞后一期、或滞后两期。影响程度因公司而异,但总体来说,没有表现出明显的地区差异。     

Exploitative and exploratory innovations in emerging economies: The role of realized absorptive capacity and learning intent

This paper investigates the mediating effect of learning intent in transforming local suppliers’ potential absorptive capacity into realized absorptive capacity and its impact on exploitative and exploratory innovation. Using survey data from 155 auto parts manufacturers in Pakistan, we find that local firms’ realized absorptive capacity enables them to develop both exploitative and exploratory innovations. The findings further suggest that local suppliers’ learning intent mediates the relationship between potential and realized absorptive capacity which in turn lead to both types of innovation. In the context of the emerging economy of Pakistan, local suppliers’ absorptive capacity is found to be critically important in spurring exploitative and exploratory innovation, but learning intent enables realized absorptive capacity and thus in conjunction with realized absorptive capacity supports innovation. Consequently, there would be a strong case for policy intervention to assist emerging economy firms in building their absorptive capacity and strengthening their learning intent as a route for promoting innovation and improving their value added position in the global value chains of multinational enterprises.     

Backup strategy for robots’ failures in an automotive assembly system

Automotive assembly lines are often characterized by robots’ failures that may result in stoppages of the lines and manual backup of tasks. The phenomena tend to impair throughput rate and products’ quality. This paper presents a backup strategy in which working robots perform tasks of failed robots. The proposed Mixed-Integer Linear-Programming based approach minimizes the throughput loss by utilizing the robots’ redundancy in the system. Two algorithms are developed to comply with stochastic conditions of a real-world environment. The performance of these algorithms is compared with several heuristics, and the downstream-backup based algorithm is found superior to all other methods.