scholarly journals ELEMENTS OF SPACE ORGANIZATION MANAGEMENT OF ENTERPRISES IN THE METAL MATERIALS INDUSTRY

2021 ◽  
Vol 13 (3) ◽  
pp. 66-71
Author(s):  
Adrian Ioana ◽  
◽  
Monica Iorga (Craciunica) ◽  
Florin-Stefan Petcu ◽  
Dumitru Deonise ◽  
...  
Keyword(s):  
Production Process ◽  
Spatial Organization ◽  
High Volume ◽  
Production Cycle ◽  
Organization Management ◽  
Efficient Management ◽  
Starting Point ◽  
Manufactured Products ◽  
Space Organization ◽  
Repair Activity

The article has as a starting point the presentation and analysis of the advantages of spatial organization of enterprises, as a management method. Thus, we analyze: creating the optimal conditions for the rhythmic realization of the production process; ensuring greater flexibility in the use of means of production; the possibility of carrying out a maintenance and repair activity of the equipment without disturbing the technological production process; ensuring an efficient management of the production unit. We also analyze, critically and comparatively, the disadvantages of spatial organization, such as: the need for a high qualification of workers; the need for a very high volume of transport and handling; technical quality control is much more complex in the conditions of a diversified production; the production cycle of manufactured products is long.

Statistical Management of Food Production Processes

2020 ◽  
pp. 30-35
Author(s):  
N.A. Jurk ◽  
Keyword(s):  
Production Process ◽  
Control Chart ◽  
Food Production ◽  
Time Interval ◽  
Bakery Products ◽  
Shewhart Control ◽  
Manufactured Products ◽  
Mnemonic Technique ◽  
The Stability

The article presents scientific research in the field of statistical controllability of the food production process using the example of bakery products for a certain time interval using statistical methods of quality management. During quality control of finished products, defects in bakery products were identified, while the initial data were recorded in the developed form of a checklist for registering defects. It has been established that the most common defect is packaging leakage. For the subsequent statistical assessment of the stability of the production process and further analysis of the causes of the identified defect, a Shewhart control chart (p-card by an alternative feature) was used, which allows you to control the quality of manufactured products by the number of defects detected. Analyzing the control chart, it was concluded that studied process is conditionally stable, and the emerging defects are random. At the last stage of the research, the Ishikawa causal diagram was used, developed using the 6M mnemonic technique, in order to identify the most significant causes that affect the occurrence of the considered defect in bakery products. A more detailed study will allow the enterprise to produce food products that meet the established requirements.

МODERNIZATION TECHNOLOGY REPAIRING ACENTRIFUGAL WATER PUMP

2018 ◽  
pp. 48-51
Author(s):  
Sh.U. Yuldashev ◽  
D.T. Abdumuminova
Keyword(s):  
Production Process ◽  
Technological Process ◽  
Energy Efficient ◽  
Technical Support ◽  
Ultrasonic Processing ◽  
Water Pump ◽  
The Real ◽  
Technological Processes ◽  
Efficient Management ◽  
Pump Shaft

The article provides an overview of the principle of the pump D630-90, as well as methods for studying the real conditions of technical support to improve maintainability and optimize technological processes and systems. A technological process for the restoration of the shaft of a centrifugal water pump has been developed and an algorithm for managing it has been proposed, on the basis of which the system for energy-efficient management of the recovery area has been implemented. Also in the article some questions of use, metal-filled compound SK812, and also application of ultrasonic processing of a surface of a shaft of the centrifugal water pump of mark D630-90 are mentioned and considered. The developed technological process of pump shaft restoration showed that it is characterized by simplicity, it fits well into the production process of repair and can be widely used in repair shops.

scholarly journals Living lab on sharing and circular economy: The case of Turin

2021 ◽  
Vol 27 (1) ◽  
pp. 146045822098727
Author(s):  
Federico Cuomo ◽  
Nadia Lambiase ◽  
Antonio Castagna
Keyword(s):  
Circular Economy ◽  
Common Ground ◽  
Swot Analysis ◽  
Research Question ◽  
Environmental Benefits ◽  
Production Cycle ◽  
Living Lab ◽  
Starting Point ◽  
Living Labs ◽  
Past Experiences

Cities with their innovative capacity are key places to address critical climate, environmental and health challenges. Urban experimentations, such as Living Labs, can represent a starting point to reintroduce resources into the production cycle and reduce environmental impacts, embracing the paradigm of the circular economy (CE). According to recent studies, Living Labs at a city scale could generate significant environmental benefits, improvements in quality of life and positive impacts on citizens’ health.1 This paper aims at presenting the case of the Torino Living Lab on Sharing and Circular Economy (LLSC) to point out possible future scenarios of urban sustainable policies. The case study is analysed in five sections: (1) the description of the new permanent laboratory proposed by the City of Turin; (2) the past experiences of Living Labs in Turin; (3) the birth of LLSC and the involvement strategy; (4) the introduction of the eight admitted experimentations. In the light of the results collected, the last paragraph (5) came up with the Strengths, Weaknesses, Opportunities, Treaths (SWOT) analysis in the LLSC. Eventually, it deals with the research question by offering a common ground for global and local policies focused on sustainability and CE.

scholarly journals A Novel Convolutional Neural Network for Classifying Indian Coins by Denomination

2021 ◽  
Author(s):  
Yash Chauhan ◽  
Prateek Singh
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Academic Research ◽  
High Volume ◽  
Classification Problem ◽  
General Purpose ◽  
Training Data ◽  
Slot Machines ◽  
Validation Data ◽  
Starting Point

Coins recognition systems have humungous applications from vending and slot machines to banking and management firms which directly translate to a high volume of research regarding the development of methods for such classification. In recent years, academic research has shifted towards a computer vision approach for sorting coins due to the advancement in the field of deep learning. However, most of the documented work utilizes what is known as ‘Transfer Learning’ in which we reuse a pre-trained model of a fixed architecture as a starting point for our training. While such an approach saves us a lot of time and effort, the generic nature of the pre-trained model can often become a bottleneck for performance on a specialized problem such as coin classification. This study develops a convolutional neural network (CNN) model from scratch and tests it against a widely-used general-purpose architecture known as Googlenet. We have shown in this study by comparing the performance of our model with that of Googlenet (documented in various previous studies) that a more straightforward and specialized architecture is more optimal than a more complex general architecture for the coin classification problem. The model developed in this study is trained and tested on 720 and 180 images of Indian coins of different denominations, respectively. The final accuracy gained by the model is 91.62% on the training data, while the accuracy is 90.55% on the validation data.

FOCUS ON COORDINATION OF OPERATORS ENSURING THE QUALITY OF SERVICE IN TOURISM

2020 ◽  
Author(s):  
Mincho Polimenov ◽  
Keyword(s):  
Quality Of Service ◽  
Production Process ◽  
Level Of Service ◽  
Production Cycle ◽  
Work Processes ◽  
Organization And Management ◽  
Culture Of Consumption ◽  
High Level ◽  
Tourist Service

The report focuses on the quality of service in tourism and in particular on the quality of blanks and work processes in the various issuing units and their coordination in the overall production process. Investments are focused not only on improved innovations in machine software and equipment, but also on such tricks and connections in the production cycle providing a high level of service and culture of consumption. Facilitating the processes provides a level of competition and creates an opportunity for affordability in quality and price. Emphasis is placed on the flexibility of tour operators and the tourist product and tourist service they offer, their quality, organization and management. Satisfying the modern "global tourist" requires not only knowledge of the structure of the offered tourist product and service, but also seeks an answer to the question "How" to be created and implemented.

Improving Healthcare with Data-Driven Track-and-Trace Systems

2015 ◽  
pp. 65-82 ◽  
Author(s):  
Eldar Sultanow ◽  
Alina M. Chircu
Keyword(s):  
Quality Assurance ◽  
Big Data ◽  
Value Added ◽  
High Volume ◽  
Data Capture ◽  
Data Driven ◽  
Healthcare Organizations ◽  
Efficient Management ◽  
Internal Operations ◽  
Pharmaceutical Supply Chains

This chapter illustrates the potential of data-driven track-and-trace technology for improving healthcare through efficient management of internal operations and better delivery of services to patients. Track-and-trace can help healthcare organizations meet government regulations, reduce cost, provide value-added services, and monitor and protect patients, equipment, and materials. Two real-world examples of commercially available track-and-trace systems based on RFID and sensors are discussed: a system for counterfeiting prevention and quality assurance in pharmaceutical supply chains and a monitoring system. The system-generated data (such as location, temperature, movement, etc.) about tracked entities (such as medication, patients, or staff) is “big data” (i.e. data with high volume, variety, velocity, and veracity). The chapter discusses the challenges related to data capture, storage, retrieval, and ultimately analysis in support of organizational objectives (such as lowering costs, increasing security, improving patient outcomes, etc.).

An economic production model with imperfect quality components and probabilistic lead times

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdul-Nasser El-Kassar ◽  
Alessio Ishizaka ◽  
Yama Temouri ◽  
Abdullah Al Sagheer ◽  
Daicy Vaz
Keyword(s):  
Mathematical Model ◽  
Production Process ◽  
Production Cycle ◽  
Lead Times ◽  
Screening Process ◽  
Content Type ◽  
Imperfect Quality ◽  
Reorder Point ◽  
Production Run ◽  
Practical Implications

PurposeThis study investigates a production process that requires N kinds of components for the production of a finished product. The producer orders the various kinds of components from different suppliers and receives the orders in lots at the beginning of each production cycle. Similar to situations often encountered in real life, the lead times are random variables with known probability distributions so that a production cycle starts whenever all N kinds of components become available. Each of the lots received at the start of a production run contains both perfect and imperfect quality components. Once all N kinds of components become available, the producer initiates a screening process to detect the imperfect components. The production of the finished product uses only perfect quality components. The imperfect components are removed from inventory whenever the screening process is completed. The percentage of components of perfect quality present in each lot is a random variable with a known probability distribution.Design/methodology/approachThis production process is described and modeled mathematically and the optimal production/ordering policy is derived based on the mathematical model.FindingsThe formulated mathematical model resulted in the determination of the optimal policy consisting of the optimal number of finished items ordered to be produce during each production run, the number of components ordered from each supplier, and the reorder point. The derived closed form expression for the optimal lot size depends on the minimum of the number of perfect quality components in a lot, whereas the reorder point is determined based on the maximum lead time.Practical implicationsThe modeling approach and results of this study provide practical implications that may be beneficial to both production and supply chain managers as well as researchers.Originality/valueThis modeling approach that incorporates decision-making related to the logistics of acquiring the components and accounts for the probabilistic nature of the lead times and quality of components addresses a gap in the logistics/production literature.

Vehicle Damper Production Process Analysis and Improvement

2013 ◽  
Vol 328 ◽  
pp. 173-176
Author(s):  
Shi Cheng Dong ◽  
Lix Xn Ma ◽  
Dan Ting Li
Keyword(s):  
Production Process ◽  
Process Analysis ◽  
Work Load ◽  
Working Time ◽  
Industrial Engineering ◽  
Production Cycle ◽  
Production Analysis

Through the process analysis of vehicle damper which involved methods of IE(Industrial Engineering), we can find work load imbalanced procedures. In that way, it changed process procedure, shorten the distance in logistics transportation, changed the chaotic production field. At the same time, we used process analysis and production analysis on the key operation, reallocated word and improved arrangement of work field [, laid off unnecessary works, shortened the working time and production cycle. As a result, the working intensity is reduced.

scholarly journals Bootstrap Analysis of the Production Processes Capability Assessment

2019 ◽  
Vol 9 (24) ◽  
pp. 5360 ◽  
Author(s):  
Patrycjusz Stoma ◽  
Monika Stoma ◽  
Agnieszka Dudziak ◽  
Jacek Caban
Keyword(s):  
Production Process ◽  
Product Quality ◽  
Low Cost ◽  
Bootstrap Method ◽  
Process Capability ◽  
Production Cycle ◽  
Bootstrap Analysis ◽  
Production Processes ◽  
Characteristic Features ◽  
The Bootstrap Method

The high customer requirements for appropriate product quality pose a challenge for manufacturers and suppliers and also cause them many problems related to ensuring a sufficiently high product quality throughout the entire production cycle. For the above reasons, it is so important to assess the capability of monitored processes, and shaping, analyzing and controlling the capability of processes is an important aspect of managing an organization that uses a process approach to management. The use of an appropriate method to analyze the course of production processes is a necessity imposed by quality standards, e.g., ISO 9001: 2015. That is why it is so important to propose a quick and low-cost method of assessing production processes. For this purpose, a method of assessing the capability of the manufacturing process using bootstrap analysis was used. The article presents the analysis of inherent properties of the production process based on the results of measurements of the characteristic features of the process or the characteristics of the manufactured products (process variables) for the shafts with grooves. The main goals of the work are to develop a procedure for determining process capability based on the bootstrap method, including criteria for the classification of production process capability; to develop the criterion values for confidence intervals of production process capability; as well as to demonstrate the practical application of bootstrap analysis in manufacturing. Moreover, comparative analyses of process capabilities using bootstrap and classic methods were carried out. They confirm both the narrowing of the confidence interval when using the bootstrap method and the possibility of determining a better estimator of the lower limit of this range compared to the results obtained using the classic method. The tests carried out for the unit production of shafts with grooves showed that the analysis of the process capability for measuring tests n = 10 is possible. Finally, new criterion values for the assessment of process capability for the bootstrap method were proposed. The model for assessing the capability of production processes presented in the paper was implemented in low-volume production in the defense industry.

scholarly journals The importance of proper evidence and identification of metallurgical materials for effective management of the company

2018 ◽  
Vol 244 ◽  
pp. 01006
Author(s):  
Vladimíra Schindlerová ◽  
Ivana Šajdlerová
Keyword(s):  
Czech Republic ◽  
Production Process ◽  
Manufacturing Process ◽  
Cost Reduction ◽  
Production Systems ◽  
Effective Management ◽  
The Czech Republic ◽  
Record Keeping ◽  
Efficient Management ◽  
Current State

An important characteristic for efficient management of production systems is the ability of a product, component or material to be tracked. That is, to be assigned with a unique symbol, number, or other code (identifier) that can be traced back both within the production process and to the customer (e. g. when complaining about a defective part). Traceability leads to a cost reduction in eliminating the risks associated with the difficult identification of the material or parts, their handling in pre-production, the manufacturing process, or the storage and sale of finished products to customers. In case of problems, it makes it easier to implement the necessary measures and reduces the time to remedy the situation either within the company or even outside. Individual companies within the Czech Republic usually solve the identification and traceability independently. The paper deals with the results of the analysis of the current state of record keeping and identification of metallurgical materials in selected companies, and presents a proposal for improvement of the current situation in a specific company, especially in the field of work with remaining material.

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