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All through the life-cycle of a standby system, it is verychallenging to keep a standby unit workable.It may be fatalif the standby found non-workablewhen needed.This paper evaluates the performance of a standby systemworking under two primary constraintsby underlining the condition of the spare unit in standby mode. The first constraint is the maximum redundancy time for the standby and the second is maximum operation time for the operating unit.The standby unit failson exceeding the maximum time threshold andthereafterthe decision about its repair/replacement is subjected tothe inspection. While after surpassing the maximum operating time limit preventive maintenance is carried outfor the operating unit.To study the long-run performance or life-cycle of the system various performance indices have been analyzed usingthe theory of discrete-state continuous-time semi-Markov regenerative processes.Exponential, Rayleigh and Weibull probability distributions are used to study the system performance numerically.

The research paper provides an analytical review of the rational organization of storage in transport, notes the works of scientists that are of great importance for the railway industry, and considers the issues of optimal placement of inventory items in the carriage depot of the Joint Stock Company "Uztemiryulyulovchi" ("Uzdzheldorpass"). The structure of a warehouse reflecting the main elements of technological sections, consisting of an unloading section, a cargo receiving section, a storage area (temporary and main), a picking section, a service and technical room, is presented. The developed mathematical models for determining rational placement, graphs of the effect of the life cycle of goods on the logistics cycle of replenishment of stocks, methods for determining the amount of supply of spare parts for mobile units when managing their stocks are presented.

This paper proposes an efficient methodology based on the Monte-Carlo simulation-based bi-objective optimization, to determine base-warranty (BW) and extended warranty (EW) parameters based on the product lifecycle. The first objective, which is from the manufacturer’s perspective, maximizes the profit while the second objective minimizes the expected number of failures that occurred during the out-of-warranty period. The manufacturer can rectify failed products via minimal repair, imperfect repair and perfect repair. The optimization model has decision variables including the product price, BW length, EW length, EW price, product failure rate, imperfect repair level, and spare part production rate in each time interval. The structure of the model admits the design of a hybrid method based on the multi-objective optimization search algorithm, Monte-Carlo simulation and an exact Out-Of-Kilter (OOK) algorithm. The nondominated sorting genetic algorithm (NSGA-II) and the multi-objective particle swarm optimization (MOPSO) algorithm are used as search algorithms. The proposed approach consists of three stages, where in the first stage, product price, BW length, EW length, EW price, product failure rate, imperfect repair level are set by NSGA-II/MOPSO. In the second stage, the number of failed products is calculated by the Monte-Carlo simulation and in the third stage, we show that the spare part inventory control sub problem can be transformed to a minimum cost network flow problem which is optimized by the OOK algorithm to attain a unified solution. A Taguchi approach is used to find the optimum level of parameters. The performance of algorithms is compared based on three different metrics. Results on a real-world problem demonstrate that the NSGA-II-OOK algorithm is more effective than the MOPSO-OOK algorithm. Through a sensitivity analysis, we analyze how various levels of planning horizon can affect Pareto-set which indicates valuable managerial insight.

Mathematical and computer semi-Markov models of operational reliability management in complex recoverable gas-analytical systems of chemical pollution monitoring were developed. The models are distinguished by taking into account the structural redundancy and the process of transition of states of elements of the system (faultless operation, diagnostics, and repair) to ensure emergency recovery by maintenance using spare parts, tools, and accessories. The developed semi-Markov model enables one to solve the problems of optimal management of the operational reliability of a wide range of complex recoverable chemical engineering systems by emergency recovery during operation, specifically, by optimization of the list and size of spare parts, tools, and accessories for replacement of failed elements.

For reduction of paperwork and time for information retrieval, an electronic resource was created for an enterprise providing maintenance and repair for forestry equipment. A brief description of the facility is given, its capabilities are shown and recommendations for further improvement are proposed.

The Circular Economy (CE) concept is receiving increasing global attention and has captivated many disciplines, from sustainability through to business and economics. There is currently a strong drive by companies, academics and governments alike to implement the CE. Numerous “circularity indicators” have emerged that measure material flow or recirculated value of a system (e.g. product or nation). However, if its implementation is to improve environmental performance of society, the action must be based on scientific evidence and quantification or it may risk driving “circularity for circularity's sake”. This paper, therefore, aims to review the recent circular economy literature that focuses on assessing the environmental implications of circularity of products and services. To do this we divide the system levels into micro (product level), meso (industrial estate/symbiosis) and macro (national or city level). A scoping literature review explores the assessment methods and indicators at each level. The results suggest that few studies compare circularity indicators with environmental performance or link the circularity indicators between society levels (e.g. the micro and macro-levels). However, adequate tools exist at each level (e.g. life cycle assessment (LCA) at the micro-level and multi-regional input-output (MRIO) analysis at the macro-level) to provide the ability to adequately assess and track the CE performance if placed within a suitable framework. The challenge to connect the micro and macro-levels remains. This would help understand the link between changes at the micro-level at the macro-level, and the environmental consequences. At the meso-level, industrial symbiosis continues to grow in potential, but there is a need for further research on the assessment of its contribution to environmental improvement. In addition, there is limited understanding of the use phase. For example, national monitoring programmes do not have indicators on stocks of materials or the extent of the circular economy processes (such as the reuse economy, maintenance and spare parts) which already contribute to the CE. The societal needs/functions framework offers a promising meso-level link to bridge the micro and macro-levels for assessment, monitoring and setting thresholds.

In the era of Industry 4.0, 3D printing unlocks a wide array of solutions to rapidly-produce spare parts for maintenance operations. In this research, we propose a hybrid simulation approach, combining agent-based and discrete event simulation methods, to investigate how the adoption of 3D printing technologies to manufacture spare parts for maintenance operations will improve operational efficiency and effectiveness. Specifically, our framework is applied to the United States Navy’s fighter jet maintenance operations to study various network configurations, where 3D printing facilities may be centralized, decentralized, or hub configured. System performance in terms of the total cost, timeliness of delivery, and vulnerability under disruptions such as cyber-attacks and emergencies are evaluated. Lastly, the impact of 3D printing technological advancements on operational performance is investigated to obtain managerial insights.

The Energyhub@Sea concept is one of the four research applications of the Space@Sea project funded by the EU’s Horizon 2020 research program (GA number: 774253). The focus of this paper is the evaluation of the energy demands of an energy self-sufficient maintenance platform at the location of Helgoland in the North Sea. In view of this, a standardized modular floater was developed as an offshore wind operation and maintenance base, which in the following paper is referred to as an O&M hub. The O&M hub is intended to be equipped with accommodation facilities and various renewable energy infrastructure as well as spare parts logistics, enabling the platform to perform maintenance of offshore gearless wind turbines with a capacity of up to 10 MW. To be energy self-sustaining, an energy supply system for the hub was developed and simulated at a resolution of ten minutes by means of the Top-Energy simulation software, a commercial software tool. As a basis for the simulation, an approach for the automated determination of flexible load profiles, in resolutions of up to ten minutes was developed. This load profile generator creates load profiles on the basis of environmental conditions, technical characteristics, and expected behaviors of the inhabitants. On the basis of the generated load profiles, a first layout (referred to as baseline scenario) for the different components of the energy system was evaluated and tested through simulation. In a second step, three optimization scenarios were developed and simulated with regards to the financial feasibility of the Energyhub.

Databank Systems was set up in 1967 by a consortium of New Zealand banks to share computing services. This was the first instance of computers being used to integrate the ledger accounts of all trading banks within a country, an innovation facilitated by the relatively small size of the country, the rising use of cheque facilities, and the realization that a joint effort would provide a more efficient service by enabling the pooling of resources to achieve scale from expensive computing technology. In 1972, Databank introduced time slicing, allowing nonbank customers to use spare capacity on the Databank system. This use of Databank outside the banking systems was controversial and the management of Databank was increasingly at odds with the Bankers Association. This article uses the example of Databank to address the tensions between consortium computing and the sale of spare time resources in banking. “© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”

Maintaining a system of multiple degrading components requires having a supply of spare components to replace deteriorated ones in a timely manner. Decisions on whether to replace the deteriorated components are made based on the statuses of components and the system and are further restricted by the inventory level of spares. Inventory replenishment decisions themselves depend both on system status and maintenance policy. Both maintenance and replenishment decisions affect the system reliability and system maintenance and spare inventory cost. This paper considers the joint optimization of periodic condition-based replacement of components and inventory control for a k-out-of-n:F system of non-repairable degrading components under various system statuses. For modeling the degradation of components, both the Wiener process and gamma process are considered. We model the maintenance and inventory policy using the number of components in each discretized degradation state rather than the traditional approach, which uses the state of each component. Our approach considerably reduces the solution space. Based on that, we address the joint optimization using Markov decision process along with dynamic programming; we then analyze the complexity of the algorithm. We provide a numerical study on a 2-out-of-3:F system of components in three states to illustrate structural insights regarding the proposed model, including a sensitivity analysis on the length of inspection interval, system downtime cost, and inventory holding cost. We demonstrate the efficiency of the model and solution method by testing k-out-of-n:F systems with different numbers of components and discretized degradation states.

Effective energy-aware scheduling is paramount for current and future multiprocessor real-time systems, being Dynamic Power Management (DPM) one of the employed techniques. In this paper we extend the Reduction to Uniprocessor (RUN) algorithm making it DPM-compliant. RUN is an optimal multiprocessor real-time scheduling for periodic implicit-deadline tasks and it is known to generate low overhead in terms of preemptions and migrations. It is based on an off-line reduction of the target multiprocessor system into one or more uniprocessor systems. On-line scheduling decisions for the latter is then efficiently translated back to the original system. The developed approach in this paper, called Dynamic Slack Filling (DSF-RUN), extends RUN in two aspects. First, the RUN reduction process is adapted to take into account slack entities, properly defined to represent processor spare capacity for DPM management. Second, on-line scheduling rules of RUN are modified so as to generate long time periods in the schedule by dynamically inserting slacks. Our approach has the same off-line complexity of the original RUN algorithm and takes either quadratic or linear on-line complexity in the number of tasks, depending on the strategy used to compute the maximum allowed idle periods. Results obtained with simulations show that our approach consumes less than 10% more energy than an idealized optimum DPM strategy.

A comparative analysis of the efficiency of crop production and its cost is presented. The necessity of using an additive model and methodology for calculating the share influence of individual factors in determining production costs has been justified. The dynamics of indicators of the volume of proceeds depending on the sale of all products of crop production sector, as well as sales volume of wheat and barley according to the data of a specific agricultural enterprise are studied. The average annual growth rates of production and cost of these crops is calculated. The value and specific weight of production costs when growing them for the analyzed period is shown in comparison. It has been determined how, in quantitative terms, material costs and depreciation costs affect the amount of expenses. The relationship between the indicators of efficiency of crop production and cost price is considered. Its direct impact on the level of income in production and sale of products has been determined. The need for constant monitoring and stabilization of material costs is noted, especially for fuel and lubricants and spare parts, depreciation deductions, which are the main factors in increasing the profitability of goods. The necessity of constant monitoring of indicators calculated on the basis of economic factors that accumulate all elements of production process has been justified. In the conclusion of the article, the reserves for increasing the volume of crop production yields are revealed, recommendations on increasing competitive advantages in crop production sector are presented.

The development of information technology promotes instantaneous behavior, high mobility, wide access and ease of trade from electronic commerce. This change is evident from the behavior of adults who are creative, dynamic like new thing, consumer and technology oriented. Problems faced by e-commerceis scam, limited of online payment and the spareof commodity shipping.Based on the study through e-commerce we can arranged the model characteristics of an e-commerce they are: product information, promotion window, customer care/ call center, search enginee, order tracking, membership, partnership, company profile, career, corporate booking service, change/ cancel for order, free shipping, multi-payment /Cash on Delivery/installment, warrantyofreturns.Based on Quality Function Deployment methodology, the technical response must exist in an e-commerce is product discription, providing call center as a concern for the customer, providing testimony space for each product, eliminating shipping costs, expand product choice, providing parts window promotional products, providing product search feature, ensure a guarantee of returns and provide of tracking the order.

In this article, we propose a new protection scheme for backbone networks to guarantee high service availability. The presented scheme does not require any reconfiguration immediately after the failure (i.e., it is proactive). At the same time, it does not require any reserved backup network resources either. To achieve these seemingly contradictory goals, we utilize the recent advancements in Machine Learning (ML) to implement a network intelligence that periodically re-allocates the unused capacity as protection bandwidth to meet the service availability requirements of each connection. Our goal is achieved by two components (1) predicting the traffic for the next period on each link, and (2) intelligently selecting the best fit dedicated protection scheme for the next period depending on the estimated unused (spare) bandwidth and the previous service availability violations. Note that re-allocating protection bandwidth affects neither the operational connections nor the current best practice of operators to over-provision network bandwidth to support elephant flows. Finally, we provide a case study on the real traffic from Energy Sciences Network (ESnet), a high-speed, international scientific backbone network. The key benefit of our framework is that adaptively utilizing the over-provisioned bandwidth for spare capacity is sufficient to improve the availability from three-nines to five-nines (in ESnet for the 30 examined connections). The drawback is negligible bandwidth limitations; the user perceives a minor and very temporal bandwidth limitation in less than 0.1% of the time.

Designating the ideal shipping route can spare expenses, enlarge profits and improve the competitiveness of shipping companies. Liner shipping route choice is mainly contingent on fuel cost, which always contributes the major proportion of the ship's operating cost. Although many studies on this topic have been carried out, none are based on the fuel consumption forecast model designed by the advanced machine learning method. This paper provides a platform idea for selecting the optimal operating route for container ships to minimize fuel cost by using an asymmetric traveling salesman problem (ATSP) algorithm solution, in which the fuel consumption model for the route is estimated based on the deep-machine learning method. Five input variables are given in the model including average velocity, sailing time, ship's capacity, wind speed, and wind direction. The mean absolute percentage error (MAPE) of the model is 5.89%, indicating that the predictive result obtains a very high accuracy, close to 95%. The optimal model is thus applied in combination with ATSP to address the optimal solution for a certain route.

Objective Individuals without private health insurance have less access to healthcare, therefore are more prone to experience poor health when compared to those who have. Segmentation is an approach to find homogenous groups of people with the purpose of tailoring services and products. In public policy, segmentation might be used to identify characteristics and needs of specific groups and deliver targeted programs and spare costs. We aim to identify and describe segments within the uninsured population to aid targeted policy actions and improve health. Methods We used secondary data collected from a representative, nationwide health survey (n=18,204). For the purpose of our analysis, we included data from individuals who answered “no” to the question: “Do you have private health insurance?” (n=12,134). Variables pertaining information on socio-demographic, health status, access and care were used. A multiple correspondence analysis was performed to find principal components followed by a hierarchical cluster. Results We found three clusters. The first (54.12% of our sample) composed by a group of young, middle aged and professionally active individuals without health problems. The second (36.70%), a cluster of aging individuals composed especially by elderly women, either retired or fulfilling domestic tasks, with a long-term health problem. The last (9.17%) composed by elder people, with long-term health problem and scoring low in mental health related questions. Conclusion Our study found three clusters (profiles of individuals) among the uninsured. Ultimately, our findings aim to support policy makers to deliver customized actions to improve health and provide cost-effective policies.

Court of Justice of the European Union, Ferrari SpA v DU, Joined Cases C–720/18 and C–721/18, EU: C:2020:854 In Ferrari SpA v DU, the Court of Justice responded to a preliminary ruling request from the Dusseldorf Higher Court and confirmed that Ferrari could establish genuine use of its ‘Testarossa’ legacy brand across the category of goods for which it was registered, on the basis of the sale of spare parts and second-hand cars.

Mobile device users tend to extend the device’s usage time by checking the battery level frequently via the battery level indicator (BLI) and adjusting their device usage patterns. This behavior is based on the assumption that the BLI is accurate. In this paper, we define four requirements that a user would expect for the BLI and define BLI anomalies that violate these requirements. We found various kinds of BLI anomalies in commercial smartphones. The key cause of a BLI anomaly is that the battery state changes dynamically depending on various factors, yet the existing BLI system is limited in delivering the battery status adequately. To address this problem, we propose a new BLI that defines the battery capacity as active, spare, and dead. The experiment results for the commercial smartphones show that with the proposed BLI system, BLI anomalies are removed, and accurate battery information is delivered to users.

Repair and preparing for reuse are included among the alternatives for the prevention of the generation of waste from electrical and electronic equipment, a stream that is a rapidly rising environmental issue globally. The main goal of this research was to identify and report the structure and operational problems faced by the electrical and electronic equipment repair sector in Greece. At first, the drivers and drawbacks of repair reported in the literature were reviewed and identified. The research took place in the first semester of 2018, via the use of a structured questionnaire, sent to and completed by 105 stakeholders involved in repair activities. The results indicate that the electrical and electronic equipment sector in Greece is dominated by small and medium-sized enterprises, established during the past ten years. Moreover, the repairers report that the availability of spare parts is adequate and that consumers have a positive attitude towards electrical and electronic equipment repair.

In modern chemical plants, there is a class of continuous processes operated under varying loads. In these processes, the standby mechanisms are needed to ensure that the downstream demand is always satisfied during the operations. Although a few related studies have been reported in literature, a comprehensive analysis of multilayer standby mechanisms in processes under varying loads has not been carried out. In this paper, a generalized mathematical model is developed to automatically generate the optimal standby mechanisms for any given processes by minimizing the total expected lifecycle expenditure. A Matlab code has been developed to perform these optimization tasks via genetic algorithm. The feasibility and effectiveness of the proposed model are demonstrated with the case study concerning a fan system for providing instrument air in a typical chemical plant. From the optimization results, one can determine the optimum configurations of the standby mechanisms, which include: (1) the number of protection layers, (2) the number of both online and spare sensors in the measurement channels, (3) the corresponding voting-gate logic in each channel, (4) the inspection intervals of switch and (5) the number of spares for switch.

This paper studies an innovative maintenance model for an upstream machine in a common production system. Multiple system-wise features are integrated in the model, including maintenance, spare parts, buffer inventory, and product quality. The objective is to minimize the system expected cost rate by determining the optimal inspection interval, preventive maintenance threshold, corrective maintenance threshold, reorder level of spare parts, maximum stock level of spare parts, and maximum inventory level of the buffer. In this maintenance model, both the hazard rate and the product qualification rate can trigger maintenance activities. The well-known proportional hazard model (PHM) is adopted to describe the state of the upstream machine. The effect of machine state on product quality is explicitly characterized. Due to the complexity of the mathematical model, simulation and a genetic algorithm are employed to determine the optimal solution. A case study of bearings is presented to demonstrate the performance of the proposed maintenance policy. The results show that this policy is practical and can reduce system cost significantly.

PT. GM Motor Pontianak is a company engaged in the sale and service of motorbikes. Service transaction data processing and motorbike sales are still managed in a simple way, namely recording transactions into a ledger and copied to Microsoft Excel for recapitulation or report presentation. The main problem that becomes an obstacle for the company is that the admin as a transaction data processor often makes mistakes and delays in making a recapitulation of monthly sales transactions, as well as errors in making financial reports. Therefore, this study discusses the design of an accounting information system that provides facilities to two users, namely the Admin and the Director. The admin can manage account data, spare part brands, spare part data, mechanical data, tariff data, account data, spare part purchase transactions, spare part sales transactions, service transactions, sales, and expense transactions. The director can process user data, access spare part stock reports, purchase reports, sales reports, service reports, mechanical incentive reports, general journal reports, general ledger reports, trial balance reports, and income statements. The system built is expected to help PT. GM Motor Pontianak in managing purchases, sales, and service transactions and producing financial reports in accordance with financial accounting standards.

Summary Targeted muscle reinnervation is a contemporary technique designed to enhance an amputee's ability to operate a myoelectric prosthesis. This technique has been shown to decrease neuropathic pain, including neuroma and phantom limb pain. In certain amputations, especially forequarter and hindlimb levels, there may be no nearby recipient muscle sites, or the residual nerve may be too short to perform targeted muscle reinnervation. Applying the spare parts concept can help solve this problem by providing nerve autograft or additional muscle recipient sites within the spare parts flap for successful targeted muscle reinnervation surgery procedures. A retrospective review of all patients that underwent spare parts targeted muscle reinnervation reconstructions between 2016 and 2019 at two institutions was performed. Patients were assessed for healing, neuroma and phantom limb pain, and function. Twelve patients underwent targeted muscle reinnervation during spare parts reconstruction; eight were male and four were female. The mean patient age was 55.3 years (range, 16 to 72 years). For those with known soft-tissue deficit size, the surface area of the donor site spared by using spare parts reconstruction ranged from 216 to 856 cm2. None of the 12 patients subsequently experienced neuroma, and 75 percent had no phantom limb pain after 3 months. Three patients have obtained insurance-approved myoelectric prosthetics, and all three demonstrated intuitive control of targeted muscles. Using a spare parts reconstruction in conjunction with targeted muscle reinnervation may optimize reconstructive efforts in the setting of major limb amputations and aid in decreasing phantom limb and neuroma pain, and facilitate the possibility of functional prosthetic and/or myoelectric prosthesis use. Clinical question/level of evidence Therapeutic, IV.

In modern conditions of operation of military vehicles in the technical units of military units, there are difficulties in determining the ability of the repair bodies of these units for maintenance and repair of military vehicles. Accordingly, there are difficulties in making planned maintenance decisions, namely: determining the number of daily maintenance posts, numbered maintenance, and maintenance. The aim of the article is to find approaches to automate the processes of management of maintenance and repair of military vehicles, with further implementation. Hardware-software (automated) complex in case of its application allows to collect statistics of repair works by types of equipment (groups of operation) and to automatically calculate forecasts of failures of equipment in armies, its assembly units, units, and details. The complex also allows you to accumulate a history of procurement and receiving of the necessary spare parts, calculating it’s and automatically provide with the necessary information on possible procurement options to the system operator. The automation of the technological process is realized by the decision-making algorithm based on the processing of the initial data concerning the object and the environment. An example of decision-making automation are operations in the field of operation of rolling stock of trucks, where the algorithm for selecting road trains for the transport of bulky goods in order to minimize energy costs for transportation is described. Adaptation of the provided information to the peculiarities of the functioning of the military department will increase the efficiency of maintenance and repair work, as well as reduce the financial costs of organizing the production and technical base of the repair unit of the military unit to perform various types of repairs.

A stochastic flow network composed of multistate arcs can be utilized to describe several practical systems such as computer networks, where transmission time taken for sending data to a sink is an important index. Determining a path with minimum transmission time is known as the quickest path problem (QPP). All algorithms addressing the QPP assume that the determined minimal paths (MPs) are disjoint. Further, for the general case of intersectional MPs, if a congestion phenomenon occurs during the transmission process, these algorithms will lead to an incorrect outcome. Moreover, in practical scenarios, as a budget limit is considered, spare routing is applied to consolidate the system. The objective is to develop an algorithm based on Monte Carlo simulations (MCSs) for evaluating the system reliability while considering the congestion phenomenon. The system reliability is the probability that a specific amount of data can be transmitted successfully through multiple MPs under both time and budget constraints. Furthermore, spare routing to increase the system reliability is established in advance to specify the main and spare MPs. Experiments validate the evaluation of system reliability based on MCSs. The credibility and efficiency of the proposed algorithm are also discussed.

Element base replacement is a generally accepted trend in the modernization of surface-to-air missile systems and their components. At the same time, the systems modernization may be accompanied by an expansion of their functionality. Promising in this aspect is the replacement of indication blocks of surface-to-air systems, which were developed at the end of the XX century, with modern multifunctional indicators. The urgency of this replacement is due to the fact that the main element of existing indicators are monochrome electronic tubes (high cost of production, industrial enterprises have long ceased production of these products), their operation requires special modes, which are implemented using a large number of related electronic devices (specialized high-voltage transformers, voltage multipliers, etc.), stocks of electronic tubes and related devices that are part of the indicator units of surface-to-air missile systems in spare parts sets are not replenished for many years, their purchase is complicated by the fact that such surface-to-air missile systems are available only in Russian Federation or countries loyal to it, due to the gradual depletion of stocks of the above devices from the spare parts sets of surface-to-air missile systems, the need to urgently seek options for their replacement is only a matter of time. Substantiation of propositions for improving the indication systems of anti- surface-to-air missile systems is a necessary step towards the modernization of these systems. Modern development of technologies allows to significantly improve ergonomic properties and expand the functionality of indicator systems. First of all, it is to improve the perception of the displayed standard information and bring additional information to the indicator without increasing its size due to the use of color displays. Secondly, in the absence of the need for combat operations, the indicator can be additionally used as a monitor of the optoelectronic surveillance system (detection of unmanned aerial vehicles, ground protection of batteries positions), a means of displaying interactive electronic operational documentation to improve information support in combat readiness, a module for conducting tactical calculations using a set of specialized information and calculation tasks, etc. The article emphasizes that when creating an indicator device on a new element base, it is necessary to consider the hardware and software components of this process. The characteristics of each component are given. Taking into account the characteristics of signals that take place in the indication blocks of surface-to-air systems, which are using in the Armed Forces of Ukraine, an approximate list of modern basic elements of the modernized indicator device is determined. In addition, it is noted that the implementation of the proposed approach in addition to the main positive effect will reduce the number of settings, adjustments of units of indication systems (this will reduce the number of operations during maintenance and, consequently, their duration), reduce the range of spare parts set (different units with the same type of hardware but different software), to improve the performance characteristics of the units of the indication system (due to the better reliability of modern devices compared to those elements used in surface-to-air missile systems).