scholarly journals Possibilities and significance of has implementation (Halal assurance system) in existing quality system in food industry

2009 ◽  
Vol 25 (3-4) ◽  
pp. 261-266 ◽  
Author(s):  
S. Ceranic ◽  
N. Bozinovic

Islamic community in Serbia has opened and agency for certification of Halal Quality System in food industry and in this way helped food producers who want to develop their businesses in that direction. 'Halal' is a term contrary to 'haram' and it means legal. Every producer wishing to obtain halal certificate must previously introduce and implement quality control system which will provide not only production according to hala standards but also purchasing of halas raw materials and accompanying material. Halal quality system can be implemented into existing quality system. At the same time this system defines organizational structure, responsibilities, procedures, activities, possibilities and resources with same mutual purpose that products, processes or services satisfy defined goal - halal product. .

2014 ◽  
Vol 5 (2) ◽  
Author(s):  
Listiani Listiani

This research is aimed to determine the quality control system of production process in PT Industri Sandang Nusantara unit Patal Secang, measure the efectivity of quality control system by using control P-Chart and determine factors that cause defect product. This research is explorative descriptive by case study method. Data used in this research is the procedure of production process and the number of defect product. Product used in this company is  thread R30/1 UW and R 40/1 UW PT Industri Sandang Nusantara Unit Patal Secang in 24 periods of production between April – Mei 2006. Data is collected by interview, documentation, and observation. Data is analyzed by control p-chart and fish bone diagram. The conclusion of this research are: (1) The quality control system which is consists of controlling raw materials, production process and final product is appropriate with the company’s standard; (2) the number of defect product R 30/1 UW is 26.956 bale with the average 0.0167; Control P Chart shows that there are three periods which are out of control. They are in April 30, Mei 5 and 21, 2006. (3) The number of final product R 40/1 UW is 2159 bale with the average 0.0214; control p-chart shows that there are tw periods which are out of control. They are ini Mei 6 and Mei 12, 2006. (4) Factors that cause defect product are obsolete machines, employee performance, control system, and raw materials. Based on that condition, management should impove the controlling of machines, improve motivation and commitment of the employee, improve the method of inspection and control the quality of raw materials.


2021 ◽  
Author(s):  
Hans Olav Hygen ◽  
Abigail Louise Aller ◽  
Anette Lauen Borg ◽  
Line Båserud ◽  
Louise Oram ◽  
...  

<p>The meteorological observation networks are in rapid change. Among other trends, these changes include: increased frequency in observations, increased spatial resolution of observations, and increased heterogeneity in observation platforms. These changes challenge the current data storage and quality control. MET Norway has implemented a new data storage, ODA, to be able to receive a significant amount more data. </p><p>A significant challenge is that the current quality system doesn’t scale to the new world of observations. The current quality control system is not built to be modular, thus requires significant work to integrate improvements.</p><p>MET Norway is rising to the challenge of the new observation structure and storage renewing the handling of observational networks and the quality control system. Previously there have been strict criteria on how MET Norway should handle data from an observational station, this is changing with the emergence of new, cheap observational platforms. To accommodate this we are structuring the handling of the station in a hierarchical system where some stations will have fully populated metadata and be treated at the highest level, whilst others will have less information down to unknown stations with unknown setup, e.g. Netatmo.</p><p>The new quality control system will be modular to ensure the ability to change and upgrade different parts. One major module of the system is an in-house developed library for spatial quality control, Titan (presented at EMS 2019).</p><p>Unlike the present quality control, which is a separate entity to the data storage, CONFIDENT will be built to use ODA as data storage to ensure the best information is available for users and CONFIDENT at all times. We are also working on how we can integrate other software performing quality control of the data, e.g. for assimilation.</p><p>The project is planned to start in the autumn of 2021 for three years. Spring of 2021 was used to map relevant activities and modules as the foundation of the planned development of the new system. The plan is not to change the current quality system in one go, but to start implementing the different modules in 2022, and phasing out the current system throughout the project period of three years.</p>


Author(s):  
И.В. ОСЕЛЕДЦЕВА ◽  
Ю.Ф. ЯКУБА

Усовершенствована система контроля качества коньячной продукции путем расширения перечня показателей контроля. Объектом исследований были коньяки и коньячные дистилляты, молодые и выдержанные от 1 года до 40 лет, выработанные в условиях разных географических зон стран СНГ и ЕС; опытные образцы дистиллятов на основе виноградного, яблочного и зернового сырья, образцы коньячных дистиллятов, выдержанных на дубовой клепке из древесины дуба кавказского и французского. С учетом результатов многолетних исследований обоснован выбор дополнительных показателей контроля качества коньячных дистиллятов и коньяков. Сформированы три группы критериев контроля качества: единичные летучие примесные компоненты состава, единичные экстрагируемые компоненты состава и блок расчетных критериев на основе соотношений концентраций компонентов состава. Статистическую обработку результатов исследований проводили с использованием компьютерной программы Statistica 6.0. Установлены 22 критериальных компонента состава, которые могут быть использованы в качестве единичных показателей контроля, и 8 расчетных показателей контроля качества, позволяющих подтверждать подлинность коньячной продукции и выявлять признаки фальсификации, оценивать соответствие использованного сырья заявленному наименованию и требуемым нормативам качества, обнаруживать использование запрещенных приемов на стадии переработки винограда и при проведении выдержки коньячных дистиллятов в контакте с древесиной дуба, а также нарушения в процессе дистилляции и факты внесения запрещенных добавок. The quality control system of cognac products by expanding the list of control indicators has been improved. The research materials were brandy and distillates young and mature, aged from 1 year to 40 years, developed under different geographical zones of the CIS countries and the EU; the test samples of the distillate on the basis of grape, Apple and grain raw materials, samples of cognac distillates aged on oak rivets from oak wood Caucasian and French. Taking into account the results of many years of research, the choice of additional indicators of quality control of brandy and distillates is justified. Three groups of quality control criteria: single volatile impurity components of the composition, single extractable components of the composition and a block of design criteria based on the ratio of the concentrations of the components of the composition – are formed. Statistical processing of the research results was performed using a computer program Statistica 6.0. 22 criteria components of the composition, which can be used as single indicators of control, and 8 calculated indicators of quality control, allowing to confirm the authenticity of brandy products and to identify signs of falsification, to assess the compliance of the used raw materials to the declared name and the required quality standards, to detect the use of prohibited methods at the stage of processing grapes and during the aging of distillates in contact with oak wood, as well as violations in the distillation process and the facts of introduction of prohibited additives, have been established.


Author(s):  
I. C. Stetsiv ◽  
I. I. Stetsiv

We have researched the scientists' opinions on the classification of product quality control and, based on the research conducted, organized a classification using a scientifically based approach. In general, the attention of scientists is paid to factors affecting the quality of products, while issues of the quality control system and factors of influence on it are insufficiently investigated. We have identified and grouped the factors influencing the quality control system of domestic meat processing enterprises by organizational, technical and subjective features. We conducted a survey of leading specialists of the most successful representatives of the meat processing industry today in order to identify the rating of negative factors. The most important factors of influence are the serviceability of equipment, devices, working tools and measuring instruments, through which the level of its quality is measured. We investigated the typical scheme of the production process, indicating the quality control points of domestic meat processing enterprises. We have found a lack of control of the value of meat raw materials at the entrance, which does not allow calculating with suppliers of raw materials, depending on the categories to which the pork actually belongs. We recommend that quality control be performed at the slaughter section between the 4th and 5th stages of the technological stage, namely after the sting of a pig with the use of special devices that are currently absent in domestic meat processing plants. The proposed measures to improve the quality control system will provide an opportunity for a comprehensive assessment of its quality and contribute to a reduction in the cost of production, resulting in increased profitability of enterprises, which suggests the feasibility of their use for meat processing enterprises in Ukraine. The three-dimensional matrix model of quality control of products of meat processing enterprises has been developed. The advantage of this model lies in the coherence of all parameters, as well as in establishing interrelationships and interdependencies between them. It is proved that the application of the proposed multivariate matrix model of product quality control in the indicated parameters enables to evaluate the quality of the meat-processing enterprise's products, taking into account all parameters of control, namely levels of control, types of control, stages of the control process and can be used for any subject of economic activity taking into account industry specifics and specific management objectives.


2017 ◽  
Vol 6 (2) ◽  
pp. 45
Author(s):  
Robert Gabriel Dragomir

The present paper speaks about the audit of the quality control system. First we exposed the general framework; the importance of information technology field under the actual development and challenges of the informatics systems. Then, we presented the national and international laws which regulate the audit of the informatics systems. Thirdly, we exposed the methodology of the audit for the quality system control in IT domain, describing its stages and flux diagram. In the end we jumped at the conclusions.


2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Muzakir Muzakir

Quality problems have led to the tactics and strategy of the company as a whole in order to have a competitive and survive against global competition with other companies' products. One of the activities in creating quality to fit the standard is to implement proper quality control system, have clear objectives and stages, as well as providing innovations in the prevention and solution of the problems facing the company. This study was carried out in the UKM manufacturing of dry bread which aims to create kulaitas penegndalian system that can minimize the amount of disability products produced. The tools that used in this research are seven tools. The results showed that there are two dominant variables that cause the bread kecacaatn deformed and charred by 20.5%. Through the analysis of a causal diagram can be seen the factors causing damage in production is derived from a human factors / workers, machinery production, working methods, materials / raw materials. This study gives an overview on the real condition of the object studied, requiring further studies on preventive measures that can be done in controlling the process of product quality testing.Keywords : Quality, statistic, seven tools, UKM


Author(s):  
Roger Olivella ◽  
Cristina Chiva ◽  
Marc Serret ◽  
Daniel Mancera ◽  
Luca Cozzuto ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document