Distinctive numbers of production systems functioning description

The production system of an enterprise is represented as the system with large quantity of elements, which are the objects of one's labour. The distinctive numbers of the production system are introduced by means of statistical mechanics. This approach gives the possibility of qualitative estim...

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Datum:	2007
1. Verfasser:	Pignasty, O.M.
Format:	Artikel
Sprache:	English
Veröffentlicht:	Національний науковий центр «Харківський фізико-технічний інститут» НАН України 2007
Schriftenreihe:	Вопросы атомной науки и техники
Schlagworte:	Kinetic theory
Online Zugang:	http://dspace.nbuv.gov.ua/handle/123456789/111018
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Zitieren:	Distinctive numbers of production systems functioning description / O.M. Pignasty // Вопросы атомной науки и техники. — 2007. — № 3. — С. 322-325. — Бібліогр.: 16 назв. — англ.

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spelling	irk-123456789-1110182017-01-08T03:04:08Z Distinctive numbers of production systems functioning description Pignasty, O.M. Kinetic theory The production system of an enterprise is represented as the system with large quantity of elements, which are the objects of one's labour. The distinctive numbers of the production system are introduced by means of statistical mechanics. This approach gives the possibility of qualitative estimation of production processes functioning, sound selection of the corresponding equations set of macroscopic parameters balances for description of real production object. The estimation of the model selection should be interpreted as the qualitative one. The approach has the advantage of easy comparison of the results, corresponding to different microscopic models. Виробничу систему підприємства представлено у вигляді системи з великою кількістю елементів — предметів праці. За допомогою апарату статистичної механіки введено характерні числа виробничої системи. Цей підхід дає можливість провести якісну оцінку функціонування виробничого процесу, підібрати для опису реального виробничого об’єкту відповідну систему рівнянь балансів макроскопічних параметрів. Оцінку вибору моделі слід сприймати як якісну. Підхід має перевагу, що дозволяє легко порівнювати результати, що відповідають різноманітним мікромоделям. Производственная система предприятия представлена в виде системы с большим количеством элементов — предметов труда. Посредством аппарата статистической механики введены характерные числа производственной системы. Данный подход дает возможность провести качественную оценку функционирования производственного процесса, обоснованно подобрать для описания реального производственного объекта соответствующую систему уравнений балансов макроскопических параметров. Оценку выбора модели следует воспринимать как качественную. Подход обладает тем преимуществом, что позволяет легко сравнивать результаты, соответствующие различным микромоделям. 2007 Article Distinctive numbers of production systems functioning description / O.M. Pignasty // Вопросы атомной науки и техники. — 2007. — № 3. — С. 322-325. — Бібліогр.: 16 назв. — англ. 1562-6016 PACS: 89.65.Gh http://dspace.nbuv.gov.ua/handle/123456789/111018 en Вопросы атомной науки и техники Національний науковий центр «Харківський фізико-технічний інститут» НАН України
institution	Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection	DSpace DC
language	English
topic	Kinetic theory Kinetic theory
spellingShingle	Kinetic theory Kinetic theory Pignasty, O.M. Distinctive numbers of production systems functioning description Вопросы атомной науки и техники
description	The production system of an enterprise is represented as the system with large quantity of elements, which are the objects of one's labour. The distinctive numbers of the production system are introduced by means of statistical mechanics. This approach gives the possibility of qualitative estimation of production processes functioning, sound selection of the corresponding equations set of macroscopic parameters balances for description of real production object. The estimation of the model selection should be interpreted as the qualitative one. The approach has the advantage of easy comparison of the results, corresponding to different microscopic models.
format	Article
author	Pignasty, O.M.
author_facet	Pignasty, O.M.
author_sort	Pignasty, O.M.
title	Distinctive numbers of production systems functioning description
title_short	Distinctive numbers of production systems functioning description
title_full	Distinctive numbers of production systems functioning description
title_fullStr	Distinctive numbers of production systems functioning description
title_full_unstemmed	Distinctive numbers of production systems functioning description
title_sort	distinctive numbers of production systems functioning description
publisher	Національний науковий центр «Харківський фізико-технічний інститут» НАН України
publishDate	2007
topic_facet	Kinetic theory
url	http://dspace.nbuv.gov.ua/handle/123456789/111018
citation_txt	Distinctive numbers of production systems functioning description / O.M. Pignasty // Вопросы атомной науки и техники. — 2007. — № 3. — С. 322-325. — Бібліогр.: 16 назв. — англ.
series	Вопросы атомной науки и техники
work_keys_str_mv	AT pignastyom distinctivenumbersofproductionsystemsfunctioningdescription
first_indexed	2025-07-08T01:31:00Z
last_indexed	2025-07-08T01:31:00Z
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fulltext	DISTINCTIVE NUMBERS OF PRODUCTION SYSTEMS FUNCTIONING DESCRIPTION O.M. Pignasty NPF Technology, 10/12 Kotlov Str., 61052, Kharkov, Ukraine, e-mail: techpom@online.kharkov.ua The production system of an enterprise is represented as the system with large quantity of elements, which are the objects of one's labour. The distinctive numbers of the production system are introduced by means of statistical mechanics. This approach gives the possibility of qualitative estimation of production processes functioning, sound selection of the corresponding equations set of macroscopic parameters balances for description of real production object. The estimation of the model selection should be interpreted as the qualitative one. The approach has the ad- vantage of easy comparison of the results, corresponding to different microscopic models. PACS: 89.65.Gh 1. INTRODUCTION Extensive categories of organization, planning and operation of production enterprise are developed within the limits of simple models [1-7]. However, not neces- sarily the real production systems functioning can be accurately described with the help of these simplest models [8-11]. Different production systems under the same external conditions conduct themselves in differ- ent ways. Thus, the same equations, even with addition of the corresponding boundary conditions, are not enough for the description of specific production system functioning [12]. This fact gets obvious if the number of equations is less than the number of constituent un- known values. The equation set is open. Construction of the closed equation set, showing the functioning of the production system under consideration, is connected with the definition of additional relationships among the parameters of the given production system. Construc- tion of the closed equation set means construction of mathematical simulator of the production environment being studied. Construction of new models of production systems is connected with experimental study of organization and production techniques [1,8], it is caused by the re- quirements of the fifth stage of economics [8]. To con- struct such models, the application of well-known gen- eral laws of mechanics and physics, e.g. thermodynamic relations [13] is necessary. The application of varia- tional principles [14,15] is appeared to be useful. Large variety and complication of production method of the system final product requires construction of theory of production system functioning on the basis of represen- tation of production system of an enterprise as the set of objects of one's labour, being in different stages of technological treatment [14]. However, it is impossible to follow the conduct of each object of labour (the base product of production system) because of their quite large quantity and probabilistic nature of influence of manufacturing equipment on the base product [12]. Sta- tistical physics is one of the general approaches to analysis of large systems conduct. Here probabilistic approach to study of large systems is usually applied. Such approach allows to obtain the functioning model of production system with definite manufacturing method in the framework of manufacturing equipment at the enterprise by means of the aggregation of the mi- croscopic parameters of the production under considera- tion. Having such approach allows to exclude selection of the model (one of the existing models for description of production systems) which is the closest to the object under consideration. At the same time from practical view point it is interesting to obtain distinctive numbers for production systems functioning, allowing to sub- stantiate selection of the corresponding model of real production object description. 2. KINETIC EQUATION, DESCRIBING PRODUCTION SYSTEM FUNCTIONING Description of functioning of contemporary mass production systems is represented as stochastic process [6, p.178]. The system state is defined as the state of the total number of base products [7, p.183] of produc- tion system. The state of the base product is described by microscopic parameters ( , here (hrn) and N , jj µ )S jS t S j tj ∆ ∆ =µ →∆ 0 lim Nj ≤<0 (hrn/hr) are correspondingly the sum of common expenses and expenses in a unit of time, trans- ferred by production system to the -th base product, . Production system is characterized by the criterion function [1,7]: j )j,,( jStJ µ )()( 2 ),,( 0 1 1 1 2 V N j jV N j j jj SWSFStJ pp ψψ = ψψ = −µ⋅+ µ =µ ∑∑ (1) Function is the productive potential of an enterprise, it makes manufacturing field of production process, being assigned directly by technological poten- tial , potential of overheads and potential of interaction . The system’s state at any point of time is defined in the case when microscopic values )(0 VSW ψψ )( VSψ (S 0 VF ψ )(0 VC SF ψψ )(0 VVC SF ψψ ),..., NNS,, 11 µµ are defined, and at any other point of time the state equation of base products is obtained: PROBLEMS OF ATOMIC SCIENCE AND TECHNOLOGY. 2007, N3 (2), p. 322-325. 322 mailto:techpom@online.kharkov.ua ),,( ),,(),,( , Stf S StJStJ dt d dt dS j j jj j jjÏ j j = ∂ ∂ =        ∂ ∂ = µ µ µ µ (2) here is the production-engineering function. Instead of considering the state of production system with microscopic values ),( Stf j ),...,,,( 11 NNSS µµ , we intro- duce normalized function of distribution of the base products number in phase space [16], satisfying the kinetic equation: ),, µSt ,(S (χ N )µ ),,,(),( µ=⋅ µ∂ χ∂ +µ⋅ ∂ χ∂ + ∂ χ∂ StJStf St (3) ).,(),,(),,( , Stf S StJStJ dt d dt dS ПП = ∂ µ∂ =      µ∂ µ∂ µ= (4) Generating function is assigned by com- pactness of equipment arrangement lengthwise technological chain and its features [12]: ),,( µStJ eqλ ,~)]~,,(~]~[[ ),,( 0         ⋅−⋅⋅⋅→× = ∫ ∞ χµµµχµµµψ λµ dSt StJ eq . (5) here ]~[ µ→µψ is a function, being defined by equip- ment certificate. The total probability of the base prod- uct transfer into any state equals to one: 1~]~[ 0 =µ⋅µ→µψ∫ ∞ d (6) ξ Jd ⋅=  ⋅ ∂⋅ + (the zero moment of the function ]~[ µ→µψ ), and pro- ductivity of equipment functioning [ and the mean-square deviation can be defined with the help of the first and second moments of the function of manufacturing equipment operating 0][χ⋅µ= ψ 2 0] 1]χ ψ 22 [χ⋅σ= ψχσ ]~[ µ→µψ : ψ ∞ µ=µ⋅µ⋅µ→µψ∫ ~~]~[ 0 d (7) (the first moment of the function ]~[ µ→µψ ), 222 0 ~~]~[ ψψ ∞ σ+µ=µ⋅µ⋅µ→µψ∫ d (8) ⋅= PKP (the second moment of the function ]~[ µ→µψ ). The first moment of the function of manufacturing equipment operating ]~[ µ→µψ characterizes the de- pendence of the rate of expense change when the base product passes the unit of manufacturing equipment, the second moment is the mean-square deviation of the rate of expense change when the base product passes the unit of manufacturing equipment from its mean value , being defined by the equipment features and pecu- liarities of manufacturing process. ψµ S 3. DIMENSIONLESS DISTINCTIVE FEATURES OF PRODUCTION SYSTEM The solution of the equation relative to function of the base products distribution in the rates of expenses change in the phase space is connected with some difficulties. The first step in the integral- differential analysis of the equation (3) has to contain analysis of order of values of different summands. ),,( µχ St ),( µs Let , τ η , be correspondingly the distinctive time, rate of expenses change and step of the variable . Let us input dimensionless variables , , ξ t S µ , con- nected with the variables , τ η , as follows: ξ ),,(),( ;;; χχ⋅η⋅λ=χχ µ⋅η=µ⋅ξ=⋅τ= JJ SStt eq (9) here eqλ is the distinctive compactness of equipment arrangement lengthwise technological chain of produc- tion process. Then the kinetic equation (3) of produc- tion system looks like: ).,( χχηλ τ µη µη χ µη ξ χ τ χ J t d St eq ⋅⋅=       ∂⋅ ⋅ ⋅ ∂⋅ ∂ +⋅⋅ ∂⋅ ∂ + ∂⋅ ∂ (10) Let us divide the above summands by η : 1−ξ⋅ ),,( χχη µ µτη χ µ χ τη χξ λξ η t Steq ∂∂⋅⋅ ⋅   ∂ ∂ + ∂⋅⋅ ∂⋅ ⋅ (11) and, after reduction, we obtain ).,( 1 χχ µ µτη χξ µ χ τη χξ λξ J t Steq =   ∂ ∂ ⋅ ∂⋅⋅ ∂⋅ + ⋅ ∂ ∂ +   ∂⋅⋅ ∂⋅ ⋅ ⋅ (12) Let us input the symbols , 1 ξ         λ = eq vK , η⋅τ ξ =mP (13) .1 0 η⋅τ⋅λ = eq mv (14) Kinetic equation of production system (3) taking into account the symbols (13,14) looks as follows [ ),( χχ=   ∂ µ ⋅ µ∂ χ∂ ⋅+µ⋅ ∂ χ∂ + ∂ χ∂ ⋅⋅ J t dP St PK mmv . (15) Multiplying kinetic equations correspondingly by 1, µ , 2 2µ and integrating them by the whole µ range, we 323 obtain balances equation of macroscopic parameters of production system [16] in the zero approximation ac- cording to the small parameter ε relative to equilibrium position, that the equations of macro- scopic parameters of production system, describing functioning of manufacturing process, depend on dis- tinctive numbers of production system. 0),( →mv PK dη dS eqλ ,(χ t η ξ As , , τ ξ η (distinctive time, step of variable , and rate of expenses change) we can take the time of production cycle T , , the average cost price of base product , S d dT=τ dSdS =ξ , and average rate of expenses change for one period of production cycle , η=ηd . The value d eq L= λ 1 (16) is the average conversion of expenses to base product among equipment units (or the length of base product free path between manufacturing influences). Then distinctive numbers of production system will look as follows: dd d mv dd d m d d v T L PKP T S P S L K η⋅ =⋅= η⋅ == 0 ,, . (17) Substitution of production cycle time values , the average cost price of base product , average rate of expenses change for one period of production cycle dT dη and average compactness of equipment arrangement lengthwise technological chain in the expres- sions for distinctive numbers of production system (17) gives the possibility of justification of selection the model of production system functioning description. The given estimation would rather be taken as qualita- tive one than quantitative. However, such an approach has the advantage, allowing compare the results, corre- sponding to different microscopic models, easy, because the equation relative to distribution function of base products on the rates of expenses change in the phase space ( , expressed with the help of val- ues , ),µS ),µS τ η , being measured macroscopically, does not depend on the integral ξ ,~)],,(]~[ )~,,(~]~[[ 0 µµχµµµψ µχµµµψλ dSt Steq ⋅⋅⋅→− ⋅⋅→⋅ ∫ ∞ (18) and can be represented as the equation relative to distri- bution function of base products in the rates of expenses change by means of values , τ , , being measured macroscopically: ].[),( 0χ−χ⋅η⋅λ≈⋅ µ∂ χ∂ +µ⋅ ∂ χ∂ + ∂ χ∂ eqStf St (19) If 0][ 0 =χ−χ , we have the case of production system equilibrium position, which is described by the identity 0),( 00 =χχJ . (20) The value of the distinctive number varies from zero to infinity, and there are two extreme cases for it and . These two cases describe the situations, which are related to extremely small and ex- tremely large expenses changes of base product be- tween two main operations. vK 0→vK ∞→vK Production systems with qualitative estimation of state having the factors values , corre- spond to a compact flow of base products lengthwise technological chain with high concentration of techno- logical equipment. The case, when , , corresponds to production process with, as a rule, small compactness of manufacturing equipment lengthwise technological chain of base product produc- tion. Thereby, the way of base products among the main operations is long enough. When it is in the “free”, un- manufactured, state, base product moves lengthwise technological chain without any interceptions. The free motion is the motion of base products lengthwise tech- nological chain of production process, when the conver- sion of expenses to base product realizes by means of definite way, which is defined by engineering- production function of production process without the expense change rate abmodality. Such con- version is characterized by the function 1<<vK vK 1≈mP 1>> P (λeq f 1≈m )0→ )S,t( ][]~[ µ→µψ=µ→µψ , i. e. after manufacturing the rate of expenses change of base product can take only the values, defined by equipment certificate without any deviations. 4. CONCLUSIONS The model of production system functioning can be estimated by means of distinctive numbers. Distinc- tive numbers provide qualitative estimation of produc- tion process functioning, allow to select the appropri- ate set of balances equations of production system macroscopic parameters for description of real production system. Definite generating function of operating production system, when the system’s position is close to the equilibrium one, can get obvious with the help of the values of production cycle time T , average cost price of base product , average rate of expenses change in unit of production cycle period and average compactness of equipment arrangement lengthwise technological chain of production system distinctive numbers. Such an approach of model selection would rather be taken as qualitative one than quantitative. However, it has the advantage, allowing to compare the results, corresponding to different microscopic models. d dS dη eqλ The author sincerely appreciate professor of the KhNU V.D. Khodusov, V.P. Demutsky, E.N. Dovga, NAU named after N.E. Zhuckovsky “The KhAI” for the valuable notes and help in the preparation of the materials. 324 REFERENCES 1. J. Forrester. Fundamentals of enterprise cybernetics. M.: “Progress”, 1961, 341 p. 2. V.A. Balashevitch. Mathematical methods in pro- duction management. Minsk: “Visheish. Sch.”, 1976, 334 p. 3. L.E. Basovsky, V.B. Protasiev. Quality manage- ment. M.: INFRA-M, 2004, 212 p. 4. Course for the highest managing staff. M.: “Econom- ics”, 1970, 807 p. 5. V.V. Leontiev. The structure of American econo- mics. M.: Gos. stat. izd-vo, 1958, 640 p. 6. B.V. Pritkin. Technical-economical analysis of pro- duction. M.: UNITI-DANA, 2000, 399 p. 7. V.A. Letenko, B.N. Rodionov. Organization, plan- ning and management of machine-building enter- prise: In 2 parts. M.: “Vissh. sch.”, 1979, P. 2: In- traplant planning. 232 p. 8. V.-B. Zang. Synergetical economy. M.: “Mir”, 1999, 335p. 9. Y.Y. Rushitsky, T.S. Modified model of Philips- Laurence for economical system (firms corporation) with stable assets //Reports of National Akademy of Science of Ukraine. 1996, N 12, p. 36-40. 10. N.S. Gonchar. Information model in economics //NANU “Statistical Physics: General problems and new applications”, L., 2005, p. 33. 11. D.S. Chernavsky, N.I. Starkov, A.V. Scherbakov. Problems of physical economy //Success of physical sciences. 2005, v. 172, N 12, p. 1045-1066. 12. V.P. Demutsky, V.S. Pignastaya, O.M. Pignastiy. Theory of enterprise: Stability of mass production and products’ motion to the market functioning. Kh.: KhNU, 2003, 272 p. 13. I.R. Uhnovsky. Thermodynamic analogies in eco- nomics //NANU “Statistical Physics: General prob- lems and new applications”, L., 2005, p. 51. 14. O.M. Pignastiy. Peculiarities of construction of models, describing functioning of production system of airspace industry //Problems of designing and constructions production of aircrafts. Kh.: NASU “KhAI”. 2005, p. 120-136. 15. O.M. Pignastiy. Engineering-production function of manufacturing firm with mass production output //Problems of designing and constructions produc- tion of aircrafts. Kh.: NASU “KhAI”. 2005, p. 111-117. 16. V.P. Demutsky, V.S. Pignastaya, O.M. Pignastiy. Stochastic description of economy-production sys- tems with mass production output //Reports of Na- tional Akademy of Science of Ukraine. 2005, N 7, p. 66-71. ХАРАКТЕРНЫЕ ЧИСЛА ОПИСАНИЯ ФУНКЦИОНИРОВАНИЯ ПРОИЗВОДСТВЕННЫХ СИСТЕМ О.М. Пигнастый Производственная система предприятия представлена в виде системы с большим количеством элемен- тов — предметов труда. Посредством аппарата статистической механики введены характерные числа про- изводственной системы. Данный подход дает возможность провести качественную оценку функционирова- ния производственного процесса, обоснованно подобрать для описания реального производственного объ- екта соответствующую систему уравнений балансов макроскопических параметров. Оценку выбора модели следует воспринимать как качественную. Подход обладает тем преимуществом, что позволяет легко срав- нивать результаты, соответствующие различным микромоделям. ХАРАКТЕРНІ ЧИСЛА ОПИСУ ФУНКЦІОНУВАННЯ ВИРОБНИЧИХ СИСТЕМ О.М. Пiгнастий Виробничу систему підприємства представлено у вигляді системи з великою кількістю елементів — предметів праці. За допомогою апарату статистичної механіки введено характерні числа виробничої систе- ми. Цей підхід дає можливість провести якісну оцінку функціонування виробничого процесу, підібрати для опису реального виробничого об’єкту відповідну систему рівнянь балансів макроскопічних параметрів. Оцінку вибору моделі слід сприймати як якісну. Підхід має перевагу, що дозволяє легко порівнювати ре- зультати, що відповідають різноманітним мікромоделям. 325

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