Analysis of the information management system in the manufacturing process of cigarette enterprises using fuzzy AHP

In view of the production quality management of filter rods in the manufacturing and execution process of cigarette enterprises, this paper analyzes the necessity of implementing the manufacturing execution system (MES) in the production process of filter rods. In this paper, the filter rod quality system of cigarette enterprise based on MES is fully studied, and the constructive information management system demand analysis, cigarette quality control process, system function module design, implementation and test effect are given. This paper utilizes the Fuzzy analytic hierarchy process to find the optimal system for processing the manufacturing of cigarette. The implementation of MSE based filter rod quality information management system for a cigarette enterprise ensures the quality control in the cigarette production process. Through visualization, real-time and dynamic way, the information management of cigarette production is completed, which greatly improves the quality of cigarette enterprise manufacturing process.

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A STATISTICAL ANALYSIS OF QUALITY CONTROL PROCESS ON PAPER PRODUCTION: A Case Study of Bel Papyrus Limited, Ogba, Lagos State

International Journal For Research In Business, Management And Accounting (ISSN: 2455-6114) ◽

10.53555/bma.v2i3.1698 ◽

2021 ◽

Vol 2 (3) ◽

pp. 24-33

Author(s):

Ali, Hassana Oseiwu ◽

Orumbe, Seth Obafemi

Keyword(s):

Quality Control ◽

Production Process ◽

Control Charts ◽

Control Process ◽

Quality Standard ◽

Primary Data ◽

Paper Production ◽

Quality Control Process ◽

Lagos State

This research is an analysis of quality control process on paper production on the soft roll production process of Bel Papyrus Ltd located in Ogba, Lagos State, Nigeria. The research was done with the aim of determining the conformity of the industry’s product to quality standard, identifying and eliminating the possible causes of variation in their production process, with reference to Percentage Elongation. The researchers used primary data in form of periodic laboratory test result done on soft rolls.Data presentations were made using simple statistical tools like Mean, Ranges, Standard Deviations, and Tables reflecting the primary data obtained at equal interval of production. The researchers made use of variable control charts for the purpose of analysis. The

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Organization of road quality control using the U-LAB laboratory information management system

Innotrans ◽

10.20291/2311-164x-2021-1-55-62 ◽

2021 ◽

pp. 55-62

Author(s):

Eldar R. Akhtyamov ◽

◽

Alexander Y. Dedyukhin ◽

Evgeny V. Koshkarov ◽

◽

...

Keyword(s):

Quality Control ◽

Information Management ◽

Management System ◽

Building Materials ◽

Laboratory Information Management System ◽

Information Management System ◽

Road Pavement ◽

Scientific Organizations ◽

Pavement Structures ◽

Laboratory Information Management

The article discusses the results of implementation of the laboratory information management system (LIMS) U-LAB, developed by the UralNIIstrom Institute and tested in the regional road sector. The system of quality control of asphalt-concrete road surfaces, road pavement structures and road-building materials in the construction, repair and maintenance of highways is presented, the role of independent laboratory control, engineering and scientifictechnical support, supervision of design decisions is defined. The content and advantages of using the U-LAB LIMS for organizing and improving the efficiency of laboratory quality control of highways and building materials, improving interaction between road management bodies, contractors, design and scientific organizations involved in road works are described. The program interface is shown, the results and technical and economic indicators of the implementation and operation of LIMS in the UralNIIstrom test center in 2020 are presented.

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Improving Production Efficiency of Large Size Molds as a Result of Innovative Quality Control Process

Multidisciplinary Aspects of Production Engineering ◽

10.2478/mape-2018-0058 ◽

2018 ◽

Vol 1 (1) ◽

pp. 457-465

Author(s):

Beata Skowron-Grabowska ◽

Jarosław Jasiński ◽

Anna Jasińska ◽

Pavel Beňo ◽

Ján Paško

Keyword(s):

Quality Control ◽

Production Process ◽

Production Efficiency ◽

Surface Defects ◽

Control Process ◽

Pressure Casting ◽

The European Union ◽

Control Stage ◽

Large Size ◽

Quality Control Process

Abstract One of the basic elements of the technological chain of manufacturing products in the European Union is the metal processing sector, which is one of the dynamically developing industries. An important department in the aforementioned sector is the production of unconventional, large-size injection molds and tools weighing more than 10 tons. Very often large-size components in the production process must be precisely checked and subjected to appropriate corrective actions at the quality control stage, in order to avoid non-compliance with customer requirements, and thus increased costs related to reducing production efficiency, logistics of large-size elements from the customer back to the manufacturer of the mold in order to correct it, and also complaints of the final product connected with dimensional changes and surface defects in the casting process. This paper presents a case study of the implementation of the innovative quality control process to verify the production of large-size molds for aluminum high pressure casting with the spotting press machine, allowing for product quality improvement. The introduction of the innovative press for spotting molds to the quality control stage also leads to the improvement of production efficiency, which was confirmed by the results of an increase of the OEE coefficient in the entire production process. In addition, a significant reduction in the production time of products was achieved, and the cost of the mold production process was lowered.

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Methodology for the Quality Control Process of Additive Manufacturing Products Made of Polymer Materials

Materials ◽

10.3390/ma14092202 ◽

2021 ◽

Vol 14 (9) ◽

pp. 2202

Author(s):

Grzegorz Budzik ◽

Joanna Woźniak ◽

Andrzej Paszkiewicz ◽

Łukasz Przeszłowski ◽

Tomasz Dziubek ◽

...

Keyword(s):

Quality Control ◽

Additive Manufacturing ◽

Manufacturing Process ◽

Control Process ◽

Visual Presentation ◽

Polymer Materials ◽

Quality Control Process ◽

Order Of Magnitude ◽

Manufacturing Technologies ◽

Intended Use

The objective of this publication is to present a quality control methodology for additive manufacturing products made of polymer materials, where the methodology varies depending on the intended use. The models presented in this paper are divided into those that are manufactured for the purpose of visual presentation and those that directly serve the needs of the manufacturing process. The authors also a propose a comprehensive control system for the additive manufacturing process to meet the needs of Industry 4.0. Depending on the intended use of the models, the quality control process is divided into three stages: data control, manufacturing control, and post-processing control. Research models were made from the following materials: RGD 720 photopolymer resin (PolyJet method), ABS M30 thermoplastic (FDM method), E-Partial photopolymer resin (DLP method), PLA thermoplastic (FFF method), and ABS thermoplastic (MEM method). The applied measuring tools had an accuracy of at least an order of magnitude higher than that of the manufacturing technologies used. The results show that the PolyJet method is the most accurate, and the MEM method is the least accurate. The findings also confirm that the selection of materials, 3D printing methods, and measurement methods should always account not only for the specificity and purpose of the model but also for economic aspects, as not all products require high accuracy and durability.

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QUALITY CONTROL OF TROBOS LIVESTOCK MAGAZINE PRODUCTION AT PT AKSARA GRAFIKA PRATAMA

KREATOR ◽

10.46961/kreator.v4i2.311 ◽

2021 ◽

Vol 4 (2) ◽

Author(s):

Gema Sukmawati Suryadi ◽

Antinah Latif ◽

Alfredo .

Keyword(s):

Quality Control ◽

Production Process ◽

Direct Observation ◽

Control Process ◽

Production Quality ◽

Control Limit ◽

Layered System ◽

Total Production ◽

Quality Control Process ◽

Live Stock

Quality control is an important factor for the industry because continuously control process in production will be able to detect abnormalities results quickly, so that it can be anticipated immediately. This study aims to determine how the quality control process has been implemented, what printing problems often occur, and what activities have been carried out to control the production quality of Trobos Live Stock magazine at PT Aksara Grafika Pratama. This research method is descriptive with direct observation of the production process at PT Aksara Grafika Pratama. Descriptive method has been used by direct observation of the production process at PT Aksara Grafika Pratama. Data analysis was carried out using the p-chart control chart analysis method of the production quantity and misprint of Trobos Live Stock Magazine in January - December 2019. The results showed that the total production of Trobos Live Stock Magazine by PT Aksara Grafika Pratama in 2019 was 225,521 sheets with 7,178 misprints, and the average proportion of damaged products was 0.030. The proportion of damaged production in April and May occupied the highest position, namely 0.045 and 0.049, exceeding the UCL (Upper Control Limit) control limit. However, in the production process the following month the damage to production is within control limits, which indicates that the production department has carried out the maximum evaluation and repair. Misprints that occur in the production process of Trobos Live Stock Magazine include Scumming, Ghosting, and no images or text appearing in certain parts. Quality control activities carried out by PT Aksara Grafika Pratama to reduce the level of damage to production include implementing a layered system such as directly monitoring the production process, always carrying out maintenance on machines and assigning special experts to repair machines, as well as placing experienced workers to minimize possible error rate during the production process.Keywords — Quality Control, Diagrams Control p-chart, Statistical Assistance Tools

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