Cybernetic estimation of reserve utilization efficiency

Abstract

This study relates to the field of verification of cybernetic estimates of the use of reserves as criteria for the effectiveness of transformative class systems with a continuous supply of a technological product. The task set here attracted even more attention after the advent of improved approaches that make it possible to automatically change the control trajectories of technological systems in real time. In such cases, the assessment of the current status of the process and the efficiency of stock management has become an integral part of the operation of the management subsystems. Therefore, the development and verification of cybernetic assessment of effectiveness for such control systems is a relevant issue. The first stage of the reported research involved the development of a cybernetic model of operation with distributed parameters. Four formal features have been proposed. Finding integral functions of these features has made it possible to obtain an idea of some quantitative characteristics of the process while finding the second time-dependent integral characteristic has made it possible to represent the physical and cybernetic parameters of the process. At the second stage, formulas for calculating the main assessment indicators were proposed; their verification was carried out under three different control trajectories, which showed the adequacy of the devised approach. The final step was to develop three variations of the efficiency formula, which is calculated at set points in time throughout the entire production cycle. Thus, cybernetic assessment of the effectiveness of the use of reserves makes it possible to formalize and fully automate the processes of optimization and adaptation of the functional systems of an enterprise

Optimization of resource-intensive dynamic systems with a continuous supply of raw materials according to the criterion of minimum use of reserves

“…1, we adopted the following designations: sSrcA1 PDoutput of the source of cold liquid supply; sSrcA1 ZD -input of the feed source; sSrcP1 PP -output source of energy product supply; sSrcP1 ZPS -input source of energy product supply; sConvA1 RD -input; sConvA1 UD -output; sConvA1 RP -input; sConvA1 UPS -output; sConvA1 ZP -setting the intensity of the energy product supply; sConvA1 Z -task signal for the production of a quality product; sConvA1 PD -output product; sConvA1 ZD -setting the volume of cold liquid supply; sConvA1 CL -current level of loading of the heating mechanism buffer; sConvA1 TE -ambient temperature; sConvA1 ETthe specified value of the output product temperature; sConvA1 INT -intensity of delivery of a quality product; mBufA1 RD -buffering input; mBufA1 UCL -current level; mBufA1 PD -buffering output; mBufA1 SL -entry level; mBufA1 RPS -task for issuing the target product; mCmpA1 Tcontrolled parameter; mCmpA1 S -reference; mCmpA1 OUToutput signal; mCmpA2 T -reference; mCmpA2 S -controlled parameter; mCmpA2 OUT -output signal; mFinA1 IN -input signal; mFinA1 OUT -output signal; mCrdB1 IN -input pulse signal; mCrdB1 CRD -input transmitted signal; mCrdB1 OUToutput signal; mCrdB2 IN -input pulse signal; mCrdB2 CRDinput transmitted signal; mCrdB2 OUT -output signal; mNoA1 IN -input; mNoA1 OUT -output; mOr2A1 IN1 -first input signal; mOr2A1 IN2 -second input signal; mOr2A1 OUToutput signal; mMemA1 IN -input signal; mMemA1 OUT -output signal; mMemA1 RES -reset input signal; mSelA1 IN -input pulse signal of the current amplitude; mSelA1 ET -input pulse signal of reference amplitude; mSelA1 OUT -output pulse signal with reference amplitude; mRecA1 U -replenishment request; mRecA1 RD -obtaining a special product; UP -section for receiving the signal of the task by the amount of intensity of the energy product supply; UHL -upper level of reserves; ULL -lower level of reserves; ZCL -current inventory level. Verification of cybernetic estimated indicators of the use of reserves as criteria for the effectiveness of converter class systems with a continuous supply of a technological product was carried out in work [12]. A cybernetic model of operation with distributed parameters for continuous processes was built.…”