The sieves’ manufacturers that want to be competitive at the market must have the implemented quality control system. Different methods, based on taking the sample, which is a representative of the total quantity of the forming sieves production, are applied for evaluation of the sieve’s conformity. The basic characteristics of this type of the quality function are control, measuring and testing of the forming sieves’ properties at the end of the manufacturing process. The objective is to detect and separate the products that deviate from the set criteria, to remain in the factory, then to be repaired if possible or discarded in the opposite case and thus to prevent delivery of the defective sieves to the paper manufacturers.
This paper considers the choice of the most profitable sampling frequency for a feedback quality control system. It is assumed that the disturbance can be adequately modeled by a first-order Integrated Moving Average (IMA (0, 1, 1)) process. The cost model includes two terms, one for the cost of being off-target and one for the cost of sampling and adjustment. An analytical solution is obtained and the sensitivity of parameters examined
Vladimirs Kirsanovs, Lelde Timma, Aivars Zandeckis and Francesco Romagnoli
The objectives of the paper are to determine the quality of pellets available on the market in Latvia and to compare results with the European standard EN 14961-2:2011. The following parameters have been determined for samples of pellets: length, diameter, moisture and ash content, mechanical durability, lower calorific value and bulk density. The results showed that all samples confirm to the B class requirements of the standard. If one considers the A1 class - only 4 out of 9 samples fit the requirements. The paper emphasizes the need for the introduction of a quality control system for the wood pellets market in Latvia.
Automatic detection of objects is a part of visual systems supporting a quality control system of a manufacturing process. The paper concerns the influence of the resolution of images and the size of detected objects in pixels on measurements results. Test images of the objects of a known size were generated. The values of the perimeter of the objects were compared to the obtained values of measurements on the images with degraded resolution. The process of the degradation of the references images by successive downsizing the resolution, detection and measurements were performed applying automatic algorithm. The analysis of obtained results showed that the size of the analysed objects on the digital images plays an important role in reliability and accuracy of the measurement. The author concludes that, in order to avoid a bias in measurement caused by insufficient object resolution, the minimal acceptable size of objects on digital images in pixels should be recommended.
The paper includes a description of the composite material used in the aviation industry. It presents the technological development of composites in terms of their use in the most important elements of the aircraft structures, such as a spar and aircraft wing sheathing, which are subjected to high loads during operation. The type of the material implemented for production was listed and the most commonly occurred incompatibilities during the carbon pre-impregnate manufacture and transport were described.
The manufacture diagram of composite elements with a polymer matrix was presented and the quality control system carried out at each mentioned stage (material storage, defrosting, cutting of dies, structure forming, polymerisation) was discussed.
The methods of non-destructive tests of carbon laminates in a polymer matrix were also listed, describing the most effective of them, i.e. a method of ultrasonic tests.
The conclusions were drawn and the development possibilities of ultrasonic tests both in terms of quality improvement and reduction of time for detecting incompatibilities in composite structures were described.
Venelin Terziev, Vanya Banabakova and Marin Georgiev
Ensuring effective customer service requires targeted efforts in a number of areas, one of which is to develop service standards for each market segment. Differentiating customer service is achieved by adopting different standards according to the following criteria: availability of assortment varieties and quantities in percentage of orders placed; actually delivered quantities and assortment varieties in percent of the ordered ones; time (cycle) to execute orders in hours or days, and more. The development of service standards uses the results of its analyzes and assessments. Standards relating to customer service should be developed in the following areas: responsibilities of management; quality control system; supplier's obligations; design management; document management; purchase quality; product identification; management of the processes of providing services; customer service quality assessment; management of control, measuring and implementation equipment; corrective actions applied in the case of established discrepancies in the provided services; loading, unloading, storing, packaging, delivery and storage of the product; customer interaction; control over data related to service quality; internal audits related to service quality; personnel training; statistical methods. This paper explores the need and capability to develop customer service standards and provides an algorithm for developing standards for employee behaviour toward customers
al. (1995). Cu-laser in problem of iodine radionuclides monitoring. Rus. Atmosphere and Ocean Optics , 8, 1648-1651.
Privalov, V. E., Shemanin, V. G. (1998). Lidars for control and measurements. In Proceedings of the SPIE. Vol. 3345, 6-10.
Privalov, V. E., Shemanin, V. G. (2000). Molecular iodine laser monitoring in the atmosphere. In Proceedings of the SPIE. Vol. 4316, 36-42.
Privalov, V. E., Shemanin, V. G., Voronina, E. I. (2001). Air qualitycontrollingsystem for industrial
Hinckley MC. Defining the best quality-controlsystems by design and inspection. Clin Chem 1997; 43: 873-9.
Hinckley CM, Barkan P. The role of variation, mistakes, and complexity in producing nonconformities. J Qual Technol 1995; 27: 242-9.
Shingo S. Zero quality control: source inspection and the poka-yoke system 1986: 1-60 Productivity Press Cambridge, MA.
Lapworth R, Teal TK. Laboratory blunders revisited. Ann Clin Biochem 1994; 31: 78
 Bulgarian Standard БДС EN ISO 9001:2015 “QualityControlSystems”. Requirements.
 Glushkov, P. Food Supply and Nutrition in the Bulgarian Army. Land Forces Academy Review, Vol. XXII, No 4(88), 2017, pages 213-219
 Glushkov, P. Use of Linear Optimisation Model in Defining the New Standards for the Preparation of Food for Servicemen in Preparation for Participation in Peacekeeping Operations. The 23rd International Conference Knowledge-Based Organization, Volume XXIII No 2, pages 65
(SPC) Techniques as Quality Control in Cast Iron Part Production, Journal of Engineering Precious Research and Application, Vol. 1, Issue 3, 14-24.
Ulewicz, R. 2003. Qualitycontrolsystem in production of the castings from spheroid cast iron, Metalurgija, Vol. 42, Issue 1, pp. 61-63.
Wheeler, D. 2000. Understanding Variation: The Key to Managing Chaos. 2 Revised Edition, SPC Press.