=Paper=
{{Paper
|id=Vol-2393/paper_431
|storemode=property
|title=Formalization of the Model of Management of the
Technological Innovations
|pdfUrl=https://ceur-ws.org/Vol-2393/paper_431.pdf
|volume=Vol-2393
|authors=Vitalina Babenko
|dblpUrl=https://dblp.org/rec/conf/icteri/Babenko19
}}
==Formalization of the Model of Management of the
Technological Innovations==
https://ceur-ws.org/Vol-2393/paper_431.pdf
Formalization of the Model of Management of the
Technological Innovations
Vitalina Babenko[0000-0002-4816-4579]
V.N. Karazin Kharkiv National University, 4 Svobody Sq., Kharkiv, 61022, Ukraine
vitalinababenko@karazin.ua
Abstract. Research goals and objectives: to describe the discrete dynamic sys-
tem consisting of technological innovation (TI), to formulate a meaningful state-
ment of the goal of managing TI taking into account risks, to develop a formal
statement of the task of TI-management with risks. It is subject to the influence
of controlled parameters (controls) and uncontrolled parameter (vector of risk or
interference).
Subject of research. The process of formalization of management of technologi-
cal innovations is investigated. To describe the process of managing technologi-
cal innovation, it is needed to know the parameters of the system. The process of
management of technological innovations is described by a discrete vector (re-
current) equation. The phase vector characteristic of management of technologi-
cal innovations includes three components: the same unrealized products for the
period, products for the period, and flow rates for the next period.
Research methods used: to build an economic and mathematical model, a class
of deterministic models is used. Its dynamics is described by a vector linear dis-
crete recurrent relation.
Results of the research: The obtained model of management of the TI can be used
for economic-mathematical modeling and the practical use of optimal processes
for predicting data management. The development of modular models can serve
as the basis for the development of software and hardware systems for training
programs that are effective in the operational strategies of innovative technolo-
gies.
Keywords. technological innovation, dynamic optimization, model formaliza-
tion, deficiency conditions.
1 Introduction
The researching of the task of a management of the technological innovations (TI) re-
quires the decision of a dynamic economic-mathematical model, taking into account
the presence of control influences. It has uncontrolled parameters as risks, modelling
errors, etc. and a lack of information. Existing approaches for solution this problem is
based mainly on static models and use a stochastic modelling apparatus. However, its
application requires knowledge of the probability characteristics of the basic parame-
ters of the model and special conditions for the providing of the considered process.
Note for using of the stochastic modelling apparatus, very stringent conditions are
needed, which in practice are usually not feasible in advance.
In this article a deterministic approach to formalize the initial dynamic task of man-
agement of the TI at a given point in time, taking into account the presence of risks is
proposed. In this case, the risks in the TI system of management will be understood as
the factors which has negatively or even catastrophically affect on the results of the
considered processes in it.
2 Analysis of Literature and Problem Statement
To formalization of the model of TI-management it is necessary research the procedure
of their identification. The term "identification" has become widely used as one of the
basic sections of the theory of control in the 50s of the last century. Today, researchers
from many spheres of science and technology, in particular, for the synthesis of control
systems, consider the problem of building adequate, efficient models. One of the found-
ers of the theory of identification is Professor P. Eikhoff [1]. Subsequently, other ap-
proaches to task of the problems of constructing models for different classes of objects,
methods of their description, signals used in the case of different approaches and algo-
rithms of identification, other problems of construction and analysis of models of pro-
cesses or systems. In addition, among the most significant works devoted to the ques-
tions of the identification of dynamic systems, one should point out the research of D.
Grope [2], E.P. Sage and J.L. Melsa [3], L. Leung [4], and also Y.Z. Tsipkin [5], N.S.
Raybman [6], S.E. Steinberg [7] and others.
The active development of computer technology in recent decades has led to the
emergence of new algorithms and software tools designed to automate professional ac-
tivities. This significantly affected the methods of solving identification problems. The
using of specialized software for scientific, technical and engineering calculations, on
the one hand, enables us to learn the studied industry more deeply. At the same time
transforming the main part of tasks for the researching, debugging of algorithms and
programs for the correct statement of the problem. Usually this frees the researcher
from solving many related issues: confirmation of the model validation, studying the
identification error, the properties from received estimates, etc. On the other hand, the
pace of software development is quite high. However, the comprehension of the ob-
tained results and their competent use is often impossible. There is a certain contradic-
tion between the ease of execution of a large number of rather complicated tasks, rapid
achievements of results and insufficient understanding of their content. This leads to
the impossibility of their further effective use [8-10].
Construction of economic and mathematical models of one or another type based on
the obtained results of observations on the behavior of objects and the researching of
their properties is the main content of the formalization problem.
3 The Meaningful Statement of the Task of Management of the
Technological Innovations
The purpose of the paper is to research of the TI-management with the influence of the
risks and the formalization
of the model of the management of TI for the solving of a problem of identifying
parameters of the linear dynamic system. It provides the development of a method that
allows combining the procedures for solving multidimensional systems of the linear
algebraic equations and interpolation of output data. In this case, the goal is to evaluate
the parameters that are missing in separate periods.
To achieve the research task, the following objectives were set:
- to formulate a meaningful statement of the goal of managing TI taking into account
risks;
- to develop a formal statement of the task of TI-management with risks.
TI involves the transition to production based on the innovation process. This pro-
cess takes into account various types of factors of production, raw materials, options
for the using and storage of materials, intermediate and final products, the influence of
various internal production and external factors, including risks, as well as other com-
ponents of the technological process. It can consist of certain technological ways of
organizing production. They provide using of exist or replacement (full or partial) of
technological equipment.
Management of TI is carried out in separate periods of life cycle of the innovation
during their implementation. Management of TI includes the value of production vol-
umes of new products, the vector of replenishment of material and labor resources for
its production and the vector of investments for the providing of TI [11, 12]. They form
a management scenario for relevant innovation. There is the possibility of using differ-
ent scenarios of innovation management, depending on the variation of the values of its
respective components.
It is necessary to implement such rational management of TI with the appropriate
scenario for a given time interval of its life cycle by choosing from a variety of alterna-
tives to possible influence of management [13]. In this case, the overall performance
criterion should be maximum [14]. Moreover, if several implementation options of var-
ious TI are considered based on relevant innovation processes, then you must also make
a choice between them and find rational management according to the chosen criterion
[15].
Having developed a meaningful economic-mathematical model of TI management,
let us turn to its formal formulation [16].
4 Formulation of the Task of Management of the Technological
Innovations in the Presence of Risks
Let us introduce the designation: let it be x (t ) ( x1 (t ), x 2 (t ), , x n (t )) R n – a phase
vector that characterizes the state of management of technological innovations (the
availability of production volumes of the enterprise, financial, investment, technologi-
cal, other productive resources, etc.) in the period t [17].
To describe the process of managing technological innovation, it is necessary to
know the initial values of system parameters (at the beginning of the investigated time
interval). Consider its structure. It includes volumes of products, other initial productive
resources, etc., as well as investments aimed at TI [18]. At the expense of initial invest-
ments I0, the purchase of equipment, production resources, etc. necessary for the
"launch" of technological innovation. Since the volume of initial investment is a key
factor for the implementation of the innovative technological process, in the phase vec-
tor x (0) we select them separately, that is x (0) {x0 , I 0 } .
The process of controlling TI is described by a vector discrete (recurrent) equation:
x(t 1) A(t ) x(t ) B(t )u (t ) C(t )v (t ), x(0) {x0 , I 0 } (1)
where t 0, T 1 0,1, 2, ...,T 1 discrete moments of time, divided by the period
in the month, quarter, year, in which the choice of management is carried out; 0, T – a
given time interval (T>0 and integer);
x (t 1) R n – a phase vector that characterizes the state of management of TI over
a period of time (t+1) and consists of vectors of volumes of production, inventories,
costs, financial resources, and investment volumes formed over a period of time (t+1)
(stocks in the period (t+1)).
Consider the formation (1) by the example of the vector of production volumes of
the enterprise: xi(t+1) – is the quantity of the i-th type of products i 1, n that formed
in the warehouse before the beginning of the time period (t+1) (product stocks in the
period (t+1)), which is formed from the stocks xi(t) of the previous period of time and
produced at the enterprise products for the period t.
Equation (1) consists of three components, which we shall consider below (the bal-
ances of unrealized output during the period, manufactured products in the period and
the impact of risks for the period under study).
Balances of unrealized products during the period t+1.
Note that if at the beginning of the time period t in the warehouse there were stocks
in the number x(t), then by the end of this period, that is, before the beginning of the
time period t+1, only the part that is equal will be available for sale equal to A(t ) x (t ) ;
A(t ) aii (t ) i1, n − diagonal matrix characterizing the implementation of products
(the matrix of "implementation") over a period of time t , t 1 ;
x (t ) ( x1 (t ), x2 (t ),, xn (t )) R n – the vector of product stocks in the period t
( t 0,T 1 ), in which each i-th coordinate хi(t) denotes the output of the i-th form
i 1, n (n - the total number of produced products types), R n – n-dimensional vector
space of column vectors.
The products are manufactured in the period t+1 (vector B(t )u (t ) ),
where u (t ) R p – the vector of management of innovation technology (managerial
influence), the components of which are the intensities of using the j-th technological
method of production (according to the corresponding innovation technology) in the
period t, рN, for which each j-th coordinate uj(t) is the value of the volume of material
and labor resources and investment production for innovation technology ( j 1, n ) ,
t 0, T 1 u (t ) U1 , U1 – a finite set of alternatives that limits the resource of man-
agerial influence;
B(t ) bij (t ) – "technological matrix" of production, components of which
i1, n, j1, p
can be represented in the j-way that corresponds to the organization of production in
the period t ( t 0,T 1 , Τ 0 ), which is characterized by the vector (b1j(t), b2j(t), …,
bnj(t)) of the resources cost for the production of the unit volume of production of the
i-th type ( i 1, n ).
If bij(t) < 0, then bij(t) determines the consumption of i-th ingredient during the j-th
mode of production in a period of time.
If bij(t) > 0, the quantity bij(t) determines the release of the i-th ingredient during the
j-th mode of production in the period t.
An add-on that takes into account the impact of risks, modelling errors on products
in the period t+1 (vector C(t )v (t ) , where v (t ) R q – vector of risks that affects the
production and storage of products, that is, the process of forming a vector x (t 1)
qN. For example, investment payments (or their lack of remuneration), lack of deliv-
ery of materials, damage to agricultural products during storage or transportation, non-
compliance with quality requirements for raw materials or finished products, insuffi-
cient investments, etc.; t 0, T 1 v (t ) V1 – convex, closed and bounded polyhedron
in Rq.
C (t ) cil (t ) i1, n , l1, q matrix consisting of coefficients of transferring the influ-
ence of the risk vector on the products of each species.
A(t), B(t), C(t) – dimensional matrices (nn), (np) і (nq) respectively, which are
formed on the basis of preliminary information from the company's reporting docu-
ments, available statistical data on the considered process, with the help of experts,
economic forecasts and other sources through application methods of data evaluation
and solving a separate problem of identifying the values of the parameters of the system
being studied.
5 Discussion of the Results
Formalization of the model of management of the TI requires formation of constraints
for the process of management of TI. Introduced above vector of innovative innovation
management u (t ) (u1 (t ), u 2 (t ),, u p (t )) R p and a vector of risks
v (t ) (v1 (t ), v2 (t ),, vq (t )) R q in the system (1) such that each pair must satisfy the
following given limit:
(u (t ), v (t )) UV (t ) {(u (t ), v (t )) : u (t ) R p , v (t ) R q ,
(2)
S min (t ) B (t )u (t ) n S max (t ), K min (t ) C (t )v (t ) n K max (t )},
where S min (t ) (S min 1 (t ), S min 2 (t ),..., S min n (t )) R n the vector of the minimum ac-
ceptable production volume, for which each i-th coordinate Smin i (t) is the value of the
minimum acceptable volume of production of the i-th type ( i 1, n ) (for example, the
break-even point for each type of product);
Smax (t ) (Smax1 (t ), Smax 2 (t ),..., Smax n (t )) Rn the vector of the upper limit of out-
put, for which each i-th coordinate is the value of the maximum acceptable output of
the i-th type ( i 1, n ) (for example, the maximum capacity of the market for each prod-
uct, maximum production capacity, etc.). Kmin (t ) (Kmin1 (t ), Kmin 2 (t ),..., Kmin n (t )) and
Kmax (t ) (Kmax1 (t ), Kmax 2 (t ),..., Kmax n (t)) vectors of the smallest and largest values
of the influence of the risk vector on output of each species [19].
At the same time, t 0, T 1 all the following restrictions must also apply to all:
xi (t ) 0 (i 1, n),
u j (t ) 0 ( j 1, p), (3)
vl (t ) 0 (l 1, q).
Note that in the process of controlling technological innovation, the constraints (2)
and (3) are a prerequisite that must satisfy the parameters of the system state of gener-
ated by the realizations of optimal managerial influences in a discrete dynamic sys-
tem (1).
In the case if the available statistics on the background of the phase vector x, the
vector of control u and the risk vector v are such that the system of linear algebraic
equations of the form (1) has an infinite set of solutions, then discrete dynamic models
of the form (1) - (3) there will be infinitely a lot. In this case, we form the dependence
of the basic unknown values of the system of equations of the form (1) on its free un-
knowns. Then, substituting arbitrary values of free unknown quantities, we obtain dif-
ferent models from which, based on the introduction of an additional quality criterion,
we can form a concrete model suitable for solving this task of TI management.
The obtained results can be applied for the tasks of identifying economic and math-
ematical models and solving other problems of dynamic optimization of forecasting
and data estimation processes taking into account the influence of risks in the conditions
of information deficit and uncertainty.
6 Conclusions
The author proposed the formalization of the model of TI in the form of a discrete
dynamic system. Its dynamic is described by a vector discrete linear recurrence relation
and is subject to the influence of controlled parameters (controls) and an uncontrolled
parameter (risk vector or interference).
Such an approach makes it possible to solve the dynamic optimization task of the
management of TI. In this case, it is possible to use an algorithm that reduces to the
implementation of solutions of systems of linear algebraic equations. This allows to
develop efficient numerical procedures that allow one to realize computer simulations
of the dynamics of the considered system of the management of TI.
The results presented in the article can be used for economic-mathematical model-
ling and solving tasks of optimization of the processes of forecasting and management
in the condition of lack of information and risk, as well as for developing appropriate
software and technological systems to support making effective decisions in practice.
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