In the present financial and economic context, the automotive industry faces new challenges posed by the current crisis. Companies have to ensure that the quality products are delivered on time and in a competitive price. One of the most recommended techniques of quality management by specific standards of the automotive industry for product development is Advanced Product Quality Planning (APQP). Product Quality Planning is a structured method of defining and establishing the steps which are necessary to ensure the customer satisfaction from the product. The goal of this paper is to present the results of evaluation of awareness and knowledge the APQP techniques in Polish and Romanian automotive industry.
The research method was a questionnaire with indicators to measure the awareness APQP tools. The research was conducted among design and technology professionals in Polish and Romanian automotive companies.
On the basis of questionnaire it was performed a comparative analysis of results from Poland and Romania. In this way it is shown which methods and tools of APQP are better known and understood in each country. It was pointed out which tools are difficult to use or there is lack of knowledge about them. It was also shown which methods are most often used in the Polish and Romanian automotive companies. They were also summarized the similarities and differences in the knowledge and using the APQP in both countries.
Abstract. This paper presents a method for locating the operators, equipment and parts using radio communications systems. Specifically there will be radio transceiver arranged in a network of active and passive radio receivers placed on personnel, equipment or parts. Based on a radio triangulation method, it is determined the location of the all resources and parts involved in manufacturing process. The transceivers communicate with each other via "routers" -also components of the network. Such a structure may extend over large distances even in indoor spaces where there are obstacles (walls between rooms). The location is done by determining the power of transmission signal for at least three end points. The receiver position is then transmitted over the network through routers, to a central server where all positions of the resources are centralized. Our solution is a non-invasive and low cost method for determining resource position in the factory. The system can be used for both resource planning production for current process more efficient and for further analysis of the movement of resources during previous processes with possible adjustments to the workspace and re-planning of resources for future processes.
Failure mode and effects analysis (FMEA) is a proactive method for eliminating the potential failures emerged from various systems such as products, processes, designs, or systems. FMEA utilizes the risk priority number (RPN) to determine the risk priority order of failure modes. RPN is calculated by multiplying the values of three risk factors: severity (S), detection (D) and occurrence (O) Although FMEA techniques are used in different industries in many situations when multiple experts give their opinions about one failure mode, the risk evaluations can be vague and imprecise, which could arise conflicting evidence that is hard to manage. This paper presents a risk-cost analysis model that uses Genetic algorithms to generate an FMEA for the raw materials and finished parts reception process, in automotive industry. Unlike the classic FMEA analysis, in our model the risk factors D and O are determined by resources cost analysis involved in their improvement. Here comes the Genetic algorithm that will determine the optimal cost under an acceptable risk. The proposed solution uses modern information technology for data acquisition (complex event processing), automation of analysis process (artificial intelligence) and long-term support for quality staff in FMEA analysis (real time and batch data analytics).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.