scholarly journals USE OF PROPOSALITY MEASURES IN THE PROBLEM OF DISTRIBUTING THE PRODUCTION PROGRAM BY THE SCHEDULED PERIOD ON THE BASIS OF THE SIMILARITY OF THE SIMILARITY OF DAKE, JACKARD, MAXFEDOR, OTIA, RAO, TANIMOTO

Author(s):  
Андрій Федоров ◽  
Павло Нотовський ◽  
Андреа Елізабет Передрій

The distribution of the production program of many production options for planned periods of various durations is relevant for modern production. The specificity of this production is that from the same parts, assemblies (assembly units), many modifications and sizes of products can be assembled to satisfy more consumers. The complexes of work on individual products is neither a repetition of each other, nor completely different, but have some similarities and individual differences, and the production time is less than the planned period. In the work, the authors expressed the opinion that if the duration of the production cycle is less than the planned period, then the structural and technological features of individual products cannot be ignored in the tasks of distributing the production program (volume-calendar planning tasks). This statement is erroneous. Using such specifics, it is possible to improve the economic indicators of such production, and we have shown in this paper. The combination of similar structural and technological products in separate planning periods increases the specialization of production in separate periods, reduces losses from equipment downtime, increases labor productivity and reduces the load on the operating manager by reducing the number of planning and accounting units in each period. In the work, proximity measures are proposed based on the known similarity coefficients, since it is more convenient to algorithmize the distribution process of the production program. The authors proved that the proposed measures correspond to the Frechet axiomatics.

2019 ◽  
Vol 4 (2) ◽  
pp. 86
Author(s):  
Adi Nugroho ◽  
Sujadi Sujadi

This study aims to determine the effect of using CNC routers on the standard production time of ornament products at PT Victory Synergy. CNC itself is a machine that is controlled through numeric and letter codes (numerics) which consists of three main components, namely the computer, interface, and actuator system. The research method used in this study is a quantitative approach. Information or research data is obtained through observation, literature studies and interviews with production operators. Based on the results of measurements that have been done, it shows that the existence of CNC routers on the production floor was able to shorten the production stages that were previously carried out to reduce the production cycle time to reach 63.97 minutes or ± 1 hour from the previous production process. This condition also proves that the design of these simple CNC routers can shorten the standard production time that occurs at PT Victory Synergy


2019 ◽  
Author(s):  
Zh. A. Barabash ◽  
N. N. Konovalova ◽  
A. V. Molchansky ◽  
T. N. Nichushkina

2021 ◽  
pp. 21-29
Author(s):  
Г.И. Коновалова

Введение. Предлагаются концепция, методология и инструменты управления производительностью труда на промышленном предприятии посредством новой модели оперативного управления производством. В данной модели осуществляется управление комплектностью незавершенного производства для создания заделов деталей и сборочных единиц на нормативном уровне на всех этапах производственного цикла с учетом динамики производства. Очередь производства деталей и сборочных единиц является инструментом составления оперативных плановых заданий для производственных участков, поддержания комплектности заделов и ключевым фактором образования ресурса времени для увеличения выпуска продукции. Ситуационный подход при формировании очереди производства учитывает непрерывно изменяющиеся производственные ситуации в многономенклатурном разнотипном производстве. Методы исследования. Концепция управления производительностью труда на промышленном предприятии разработана на основе системного анализа различных внутренних и внешних факторов, которые влияют на организацию ритмичного производства и равномерного в соответствии с заданным графиком выпуска готовой продукции, и учета их в новой модели оперативного управления производством. В качестве основных инструментов в системе оперативного планирования производства принимаются динамичный план-график выпуска деталей и сборочных единиц и очередь производства (очередь выполнения технологических операций). В механизме управления производительностью труда на промышленном предприятии используется совокупность управляемых параметров – показателей для оперативного планирования, учета и регулирования комплектности незавершенного производства, производственных запасов и производственных затрат. Результаты исследования. Разработаны теоретико-методологические основы оперативного управления производительностью труда на промышленном предприятии в рамках универсальной системы оперативного управления для многономенклатурного разнотипного динамичного производства. Предложены управляемые параметры, позволяющие управлять комплектностью незавершенного производства, производственными запасами и производственными затратами, устранять потери любого рода, а сохраненные ресурсы использовать для роста производительности труда на промышленном предприятии в современных условиях. Построена новая динамическая модель оперативного управления производством, позволяющая адаптироваться к постоянным изменениям, учитывающая неопределенность и неоднозначность окружающей среды. Данная модель пригодна для цифрового моделирования и планирования процессов производства. Заключение. Предлагаемая методология позволяет выполнять и создавать ресурсы времени для повышения производительности производства на промышленном предприятии на основе поддержания на нормативном уровне производственных запасов и комплектного незавершенного производства, снижения производственных затрат за счет экономии различных ресурсов и сокращения производственного цикла. Introduction. The concept, methodology and tools for managing labor productivity in an industrial enterprise through a new model of operational production management are proposed. In this model, the completeness of work-in-progress is managed to create reserves of parts and assembly units at the regulatory level at all stages of the production cycle, taking into account the dynamics of production. The production queue of parts and assembly units is a tool for drawing up operational planning tasks for production sites, maintaining the completeness of the reserves and a key factor in the formation of a time resource for increasing production output. The situational approach to the formation of the production queue takes into account the continuously changing production situations in a multi-product production of different types. Research methods. The concept of labor productivity management at an industrial enterprise is developed on the basis of a systematic analysis of various internal and external factors that affect the organization of rhythmic production and uniform output of finished products in accordance with a given schedule, and their consideration in the new model of operational production management. As the main tools in the system of operational production planning, a dynamic schedule for the production of parts and assembly units and a production queue (the queue for performing technological operations) are accepted. The mechanism of labor productivity management at an industrial enterprise uses a set of managed parameters-indicators for operational planning, accounting and regulation of the completeness of work in progress, production stocks and production costs. The results of the study. The theoretical and methodological foundations of operational management of labor productivity at an industrial enterprise are developed within the framework of a universal system of operational management for multi-nomenclature, multi-type, dynamic production. We propose manageable parameters that allow you to manage the completeness of work in progress, production stocks and production costs, eliminate losses of any kind, and use the saved resources to increase labor productivity at an industrial enterprise in modern conditions. A new dynamic model of operational management of production is constructed, which allows to adapt to constant changes, taking into account the uncertainty and ambiguity of the environment. This model is suitable for digital modeling and planning of production processes. Conclusion. The proposed methodology allows you to perform and create time resources to increase production productivity in an industrial enterprise by maintaining production stocks and complete work-in-progress at the standard level, reducing production costs by saving various resources and reducing the production cycle.


2020 ◽  
Vol 11 (2) ◽  
pp. 25-32
Author(s):  
N. Kovalenko ◽  
◽  
O. Labenko ◽  
V. Kovalenko ◽  
M. Klymenko ◽  
...  

Ukrainian fertile lands and favorable climate conditions provide enormous opportunities for the agricultural sector development and formation of a highly efficient economic cluster. With a practical management approach, the agricultural potential could meet domestic needs and form a significant part of export earnings. The volume and quality of agri-food may satisfy not only internal food security but also contribute to the European, Asian and African. However, due to the longer production cycle compared to industry, agricultural enterprises at the stage of choosing a production program can not anticipate and respond quickly to changes in market conditions, increasing the competitiveness of goods and attractiveness to consumers based on existing production schemes. Therefore, the primary purpose of our study is to create a roadmap of management decisions when planning a production program through efficiency evaluation of growing winter wheat in a typical farm in Central Ukraine. For this purpose, we opt for a methodology based on marginal revenue, total costs, production and profitability thresholds along with payback of production factors. Due to climate change, the importance of growing winter crops is becoming increasingly essential and superior attention should be paid to improving their economic efficiency. Thus, the problem and relevance of the article is due to the requirements for sustainable successful operation of agricultural enterprises in a market environment and, therefore, the feasibility of using available calculation methods to assess the economic efficiency of production to facilitate management decision-making.


2019 ◽  
Vol 110 ◽  
pp. 01036 ◽  
Author(s):  
Sergei Sinenko ◽  
Boris Zhadanovsky ◽  
Vyacheslav Obodnikov

Economic indicators of construction production are directly related to the choice of the optimal number of machines. The lack of machines for the production of construction and installation works leads to the impossibility of their implementation in the directive period. The pace of construction and installation work and labor productivity depend, to a large extent, on the degree of provision of construction facilities with machines (level of labor mechanization). The article considers the calculations of the need for construction machines for the building site, trust and the ministry. When determining the need for machines for construction sites, it is necessary to take into account ensuring the execution of works in the planned timeframe, increasing the level of complex mechanization, increasing labor productivity and reducing manual work, improving the use of the machine park and their operation. The article presents a consistent set of formulas that must be used when choosing construction machines and determining their number.


2020 ◽  
Vol 10 (10) ◽  
pp. 2201-2221
Author(s):  
P.I. Ogorodnikov ◽  
◽  
O.B. Matveeva ◽  
E.P. Guseva ◽  
◽  
...  

Due to the fact that this area has been little studied, at the moment there is no single methodology that would include those economic indicators that allow for a specific interpretation of the results obtained during the analysis. The article describes a more accessible methodology for evaluating the attractiveness of an agricultural area for investment based on labor productivity in the field of material production. In the studies written by the authors of this article, the main economic indicators for assessing the attractiveness to investment of agricultural regions of the region (Orenburg region) are presented and considered in detail. The main factors influencing the labor productivity of the labor collective are highlighted. On the basis of factor analysis, the tasks of combining a large number of indicators, signs that determine labor productivity in the agricultural production of the region, into a smaller number of factors artificially built on their basis, ensuring the resulting system of factors, are solved. This technique is more convenient from the point of view of meaningful interpretation. The original methodology clearly defines a specific agricultural area, which at the moment (or in the near future) is the most favorable for investors. To assess the investment attractiveness of individual economic systems, a theoretical and methodological toolkit has been created that allows investors to assess the share of the risk of non-return of financial resources.


1970 ◽  
Vol 47 (2) ◽  
pp. 485-494
Author(s):  
Samora M Andrew ◽  
John R Mbwambo

The recent heightened attention on mushrooms has not considered shortening the production time and increasing nutritional value using substrates from agroforestry trees in addition to traditionally used agro-industrial residues. This study therefore, examined harvesting time, protein and essential minerals of Pleurotus floridanus grown on rice straw amended with Gliricidia sepium foliage in Morogoro, Tanzania. Mushrooms were cultivated in 30 x 40 cm 4 kg dry weight polythene bags in randomized complete block design (RCBD) experiment. Results showed that the addition of 5% G. sepium into rice straw reduced total time between spawning and first harvest of P. floridanus. Gliricidia sepium increased significantly (P < 0.05) protein contents of the mushrooms by up to 40%. The addition of 5–10% G. sepium into rice straw increased significantly (P < 0.05) manganese, copper and zinc in the mushrooms. The decrease in production time and high increase in protein and mineral contents indicate that agroforestry trees have the potential to increase production cycles and nutritional value of P. floridanus. Therefore, use of foliage from agroforestry trees in combination with traditional substrates for mushroom production could help fight malnutrition, improve food security and enhance income. Keywords: Food security; Gliricidia sepium; Income; Mushrooms; Smallholder farmers


2021 ◽  
Author(s):  
Glen Zi Qiang Liau ◽  
Joel Yat Seng Wong ◽  
Wei Xuan Tay ◽  
Jia Yi Weng ◽  
Andre Eu Jin Cheah

Abstract Purpose This study aims to analyze the correlation between the incidence rate of hand injuries and various construction and manufacturing indicators in Singapore. We hypothesize that the number of hand injuries is correlated to activity in the construction and manufacturing industries in Singapore. Methods 20,764 patients who underwent hand surgeries in a tertiary institution between 2012 to 2018 were reviewed. Two independent, blinded observers extracted the frequency of hand surgeries performed from Electronic Medical Records. Economic indicators pertinent to Singapore’s labor force, construction and manufacturing industries were collected and smoothed by simple moving average of the prior 3 months. Results were analyzed using IBM SPSS v25.0. Results Significant independent univariate variables were Purchasing Manager Index for Manufacturing and Industrial Production Index. Multivariate regression of quarterly reported figures showed that Purchasing Manager Index for Manufacturing, Construction Index, Labor Productivity Change for Gross Domestic Product and Labor Productivity Change for Manufacturing were significantly correlated with hand injuries, with r square = 60.9%. Conclusion Quarterly economic indicators from construction and manufacturing industries can be used to predict the incidence of hand injuries with a 60.9% correlation. These findings may be useful for anticipating healthcare resource allocation to treat hand injuries. Type of Study and Level of Evidence Economic and decision, Level II.


2021 ◽  
Vol 11 (2) ◽  
pp. 6-23
Author(s):  
P. A. Mikhnenko

Increasing labor productivity (LP) is an actual task of the Russian economy and management of enterprises. Today, the country has a growing productivity gap between the most efficient and lagging companies. The aim of the study is to identify the key factors which determine the magnitude and growth rate of this indicator in the interests of revealing promising areas and ways of managing its growth. The paper describes the analysis of financial and economic indicators that are factors of sustainable growth in LP at domestic industrial enterprises, leading in this indicator in the period 2017–2019. The methodological basis has been the provisions of the production factors and productivity theories. The research method is based on the theorem of statistical hypotheses. The object of this research has been 94 Russian leading companies in terms of LP growth under reviewing period. An economic and statistical model of LP growth factors has been developed and the conditional probabilities of hypotheses have been calculated that characterize the ranges of growth of this indicator upon the occurrence of events corresponding to an increase in the values of financial and economic indicators. The key factors and the ranges of their change are highlighted for four ranges of the productivity rate: small, moderate, high and record. It is shown that the determining factors of a low rate are a revenue growth in the range from –23 to 57%, a decrease in the duration of an operating cycle to –7% and a growth in asset turnover up to 37%. The factors of the record rate of LP growth are revenue gain in the range 97–297%; operating cycle reduction in the range from –42 to –88% and the turnover of assets gain in the range 114–342%. The capital-labor ratio gain is considered with low probability as a factor of the moderate or high LP gain in combination with an increase in revenue and asset turnover. High correlation of the operating cycle reduction and increase the asset turnover can serve as an indicator of LP increase programs success. The proposed approach allowed to identify significant factors of LP growth at leading companies that had not been obvious during applying a regression analysis.


2021 ◽  
Vol 29 (1(145)) ◽  
pp. 8-12
Author(s):  
Huaqing Cao ◽  
Xiaofen Ji

The process of garment production has always been a black box. The production time of different clothing is different and has great changes, thus managers cannot make a production plan accurately. With the world entering the era of industry 4.0 and the accumulation of big data, machine learning can provide services for the garment manufacturing industry. The production cycle time is the key to control the production process. In order to predict the production cycle time more accurately and master the production process in the garment manufacturing process, a neural network model of production cycle time prediction is established in this paper. Using a trained neural network to predict the production cycle time, the overall error of 6 groups is within 5%, and that of 3 groups is between 5% and 10%. Therefore, this neural network can be used to predict the future production cycle time and predict the overall production time of clothing.


Sign in / Sign up

Export Citation Format

Share Document