Algorithm for forming the cluster of labor instruments of investments-perspective production systems in shipbuilding

2021 ◽  
pp. 96-100
Author(s):  
М.Ю. Алехин ◽  
А.Н. Ваучский
Keyword(s):  
Competitive Ability ◽  
Production Systems ◽  
Market Value ◽  
Directed Search ◽  
Financial Risks ◽  
Business Systems ◽  
Shipbuilding Industry ◽  
Systems Implementation ◽  
Effective Development

Статья посвящена проблеме повышения эффективности управления реструктуризацией производственных систем (ПС) судостроения в целях поддержания конкурентоспособности предприятий и повышения привлекательности судостроения для инвесторов. Авторами, с использованием метода направленного поиска рационального варианта и кластерной группировки элементов ПС, предложен алгоритм и математическая модель определения экономически перспективных точек ПС судостроения, нуждающихся в инновационных преобразованиях. Научная методология исследования основана на фундаментальных положениях теории графов и комплексном рассмотрении вопросов управления изменениями в хозяйственных системах. Реализация предложенного алгоритма может быть использована для «количественного» решения управленческих задач эффективного развития ПС судостроительного предприятия и повышения его рыночной стоимости. Это создаст предпосылки к эффективному воспроизводству капитала в реальном производстве и хеджированию финансовых рисков, сопутствующих этим процессам в судостроении. This article considers issue of increasing efficiency of restructuring management of production systems (PS) in shipbuilding in order to support competitive ability of yards and to increase appeal of shipbuilding industry for investors. Authors by using method of directed search of rational option and cluster grouping of PS components propose an algorithm and mathematical model for determination of economically perspective components of PS in shipbuilding that need innovative conversion. Scientific methodology of present research is based on fundamental provisions of graph theory and integrated consideration of issues, related to change management in business systems. Implementation of proposed algorithm may be used for quantitative solution of management problems, related to effective development of PS of yard and for increasing market value of the same. This will create background for effective reproduction of capital in real production and hedging of financial risks, related to this process in shipbuilding.

THE CONCEPT, TYPES, TASKS AND THE NEED FOR THE USE OF URGENT INVESTMENT TOOLS OF CRISIS MANAGEMENT AT ENTERPRISES

2017 ◽  
Author(s):  
Oksana Yurynets ◽  
Keyword(s):  
Crisis Management ◽  
Economic Condition ◽  
Negative Impact ◽  
Negative Influence ◽  
Management Program ◽  
Management Tools ◽  
The Subject ◽  
Effective Development ◽  
Selection Of

Currently, many Ukrainian enterprises are in crisis. Getting out of this situation requires the use of various types of urgent crisis management tools, among which investment instruments play an important role. The purpose of this article is to form the theoretical basis for the use of urgent investment tools of crisis management at enterprises. It was found that the urgent investment tools of crisis management in the enterprise should be understood as ways of immediate (urgent) investment actions which are aimed at eliminating or reducing the negative impact of the crisis on the economic condition of the enterprise and ensuring its further effective development. These instruments are grouped according to the following characteristics: the environment in which the relevant instruments are formed and operate, the relation to the current owners of the enterprise, the effectiveness of implementation, the duration of the effect of implementing instruments, the urgency of their implementation, the areas of investment, the objectives of application, the duration of application, the types of financial and economic crises at the enterprise, the elimination (reduction) of the negative influence of which the corresponding tools are directed at, the subject of investment. It is established that the main tasks of using investment urgent tools of anti-crisis management at the enterprises are: selection of the best types of investment urgent tools of anti-crisis management; selection of the best variant of each type of urgent investment tools of crisis management; setting deadlines for the implementation of selected types and options for urgent tools of crisis management at the enterprise; determination of the optimal amount of total investments that should be invested in the implementation of the crisis management program at the enterprise, and the corresponding to this volume of the general list of investment urgent tools of such management; identifying the best sources of investment and establishing the best structure of investment in terms of these sources.

scholarly journals On data leakage from non-production systems

2017 ◽  
Vol 25 (4) ◽  
pp. 454-474
Author(s):  
Jacqueline Cope ◽  
Francois Siewe ◽  
Feng Chen ◽  
Leandros Maglaras ◽  
Helge Janicke
Keyword(s):  
Production System ◽  
Production Systems ◽  
Human Interaction ◽  
Production Data ◽  
Business Systems ◽  
Sensitive Data ◽  
Process Flow ◽  
Content Type ◽  
Practical Solution ◽  
Production Environments

Purpose This study is an exploration of areas pertaining to the use of production data in non-production environments. During the software development life cycle, non-production environments are used to serve various purposes to include unit, component, integration, system, user acceptance, performance and configuration testing. Organisations and third parties have been and are continuing to use copies of production data in non-production environments. This can lead to personal and sensitive data being accidentally leaked if appropriate and rigorous security guidelines are not implemented. This paper aims to propose a comprehensive framework for minimising data leakage from non-production environments. The framework was evaluated using guided interviews and was proven effective in helping organisation manage sensitive data in non-production environments. Design/methodology/approach Authors conducted a thorough literature review on areas related to data leakage from non-production systems. By doing an analysis of advice, guidelines and frameworks that aims at finding a practical solution for selecting and implementing a de-identification solution of sensitive data, the authors managed to highlight the importance of all areas related to sensitive data protection. Based on these areas, a framework was proposed which was evaluated by conducting set of guided interviews. Findings This paper has researched the background information and produced a framework for an organisation to manage sensitive data in its non-production environments. This paper presents a proposed framework that describes a process flow from the legal and regulatory requirements to data treatment and protection, gained through understanding the organisation’s business, the production system, the purpose and the requirements of the non-production environment. The paper shows that there is some conflict between security and perceived usability, which may be addressed by challenging the perceptions of usability or identifying the compromise required. Non-production environments need not be the sole responsibility of the IT section, they should be of interest to the business area that is responsible for the data held. Originality/value This paper proposes a simplified business model and framework. The proposed model diagrammatically describes the interactions of elements affecting the organisation. It highlights how non-production environments may be perceived as separate from the business systems, but despite the perceptions, these are still subject to the same legal requirements and constraints. It shows the interdependency of data, software, technical infrastructure and human interaction and how the change of one element may affect the others. The proposed framework describes the process flow and forms a practical solution in assisting the decision-making process and providing documentary evidence for assurance and audit purposes. It looks at the requirements of the non-production system in relation to the legal and regulatory constraints, as well as the organisational requirements and business systems. The impact of human factors on the data is also considered to bring a holistic approach to the protection of non-production environments.

scholarly journals Determination of critical pH and Al concentration of acidic Ultisols for wheat and canola crops

2016 ◽  
Author(s):  
Abdulaha-Al Baquy ◽  
Jiu-Yu Li ◽  
Chen-Yang Xu ◽  
Khalid Mehmood ◽  
Ren-Kou Xu
Keyword(s):  
Soil Ph ◽  
Crop Production ◽  
Soil Acidity ◽  
Production Systems ◽  
Southern China ◽  
Chemical Properties ◽  
Dry Weight ◽  
Hydrated Lime ◽  
Dry Land

Abstract. Soil acidity has become a serious constraint in dry land crop production systems of acidic Ultisols in tropical and subtropical regions of southern China, where winter wheat and canola are cultivated as important rotational crops. Regardless of other common existing concerns in acidic Ultisols of southern China, it needs to be investigated whether soil acidity has any effect on wheat and canola growth. There is little information on the determination of critical soil pH as well as aluminium (Al) concentration for wheat and canola crops. The objective of this study was to determine the critical soil pH and exchangeable aluminium concentration (AlKCl) for wheat and canola production. Two pot cultures with two Ultisols from Hunan and Anhui were conducted for wheat and canola crops in a controlled growth chamber, with a completely randomized design. A soil pH gradient ranging from 3.7 (Hunan) and 3.97 (Anhui) to 6.5, with three replications, was used as a treatment. Aluminium sulfate (Al2(SO4)3) and hydrated lime (Ca(OH)2) were used to obtain the target soil pH levels. Plant height, shoot dry weight, root dry weight, and chlorophyll content (SPAD value) of wheat and canola were adversely affected by soil acidity in both locations. The critical soil pH and AlKCl of the Ultisol from Hunan for wheat were 5.29 and 0.56 cmol kg−1, respectively. At Anhui, the threshold soil pH and AlKCl for wheat were 4.66 and 2.36 cmol kg−1, respectively. On the other hand, the critical soil pH for canola was 5.65 and 4.87 for the Ultisols from Hunan and Anhui, respectively. The critical soil exchangeable Al for canola cannot be determined from the experiment of this study. The results suggested that the critical soil pH and AlKCl varied between different locations for the same variety of crop, due to the different soil types and their other soil chemical properties. The critical soil pH for canola was higher than that for wheat for both Ultisols, thus canola was more sensitive to soil acidity. Therefore, we recommend that liming should be undertaken to increase soil pH if it falls below these critical soil pH levels for wheat and canola production.

scholarly journals Evolution and accumulation of C-CO2 in biogenic and physiogenic aggregates of different agroecological management systems

2018 ◽  
Vol 67 (4) ◽  
pp. 494-500
Author(s):  
Luiz Alberto Silva Rodrigues Pinto ◽  
Octávio Vioratti Telles Mendonça ◽  
Celeste Queiroz Rossi ◽  
Marcos Gervasio Pereira ◽  
Fabiana Costa Barros
Keyword(s):  
Production Systems ◽  
Agroforestry System ◽  
Management Systems ◽  
Formation Pathway ◽  
No Till ◽  
Testing Parameter ◽  
Mineralizable Carbon ◽  
The City ◽  
Som Decomposition

Determination of mineralizable carbon (C) is based on the evolution of C-CO2, reflecting the activity of soil biota in soil organic matter (SOM) decomposition, and can be used as a testing parameter in agroecological production systems. The objective of the present work was to quantify mineralizable C in aggregates of different biogenic and physiogenic formation pathways in agroecological management systems in the city of Seropédica, state of Rio de Janeiro. Five sampling areas were selected: (1) 10-year agroforestry system (AFS), (2) 15-year full sun coffee (C-SUN), (3) 15-year shaded coffee (C-SHA), (4) 10-year phlegm alleles (FLE), and (5) 6-year no-till planting system with corn and eggplant (NT) in Red-Yellow Argissolo in Seropédica-RJ.Morphological patterns were used to identify the formation pathway (biogenic and physiogenic) of aggregates.  In these, fertility, total organic carbon (TOC), and total nitrogen (TN) were evaluated.  The evolution and accumulation of C-CO2were determined in the laboratory after 35 days of incubation. The NT area under agroecological management present higher C-CO2 accumulation between the systems with biogenic aggregates and less accumulation in the physiogenic aggregates. 

scholarly journals THE MECHANISM OF DIVERSIFICATION OF FINANCIAL RISKS AND THEIR ASSESSMENT

2021 ◽  
Author(s):  
Viacheslav Dereza
Keyword(s):  
Financial Risk ◽  
Statistical Data ◽  
Production Cycle ◽  
Financial Risks ◽  
Economic Entity ◽  
The Subject ◽  
Lending Rates ◽  
Financial Losses ◽  
Level Of Risk

The article discusses approaches to minimizing financial losses by diversifying financial risks, it is proposed to improve the mechanism for diversifying financial risks, which should consist of the following stages: 1) Formation by the financial and economic department of the subject (enterprise, bank, investment company, etc.) of the input data, depending on the type of activity, among which the most typical are: volumes and structure of credit resources, their price, borrowing terms, loan currency, volumes and structure of product exports and imports of goods, export and import currencies, duration of the production cycle, volumes and structure of securities portfolio, types of securities, profitability indicators, types and the level of expenses. 2) Determination of the types of financial risks faced by an economic entity, and its measurement for each type, as well as the level of losses suffered by an economic entity in previous periods, in order to assess the feasibility of diversifying financial risks. 3) Determination of the most effective diversification options for an economic entity by comparing the costs of implementing possible options and the resulting from diversification by reducing the level of risk. 4) Assessment of other options for minimizing losses from financial risks that the entity can apply and which can be grouped as follows: hedging risks, limiting and compensating risks. 5) Calculation of financial implications for an economic entity from the introduction of financial risk diversification To do this, it is necessary to compare the costs and the expected effect of diversification, that is, will the level of risk decrease, or what will be the maximum possible financial losses. Calculated on the basis of statistical data, the values of the coefficient of variation of deposit and lending rates, as well as the exchange rate of UAH to foreign currencies. A methodology for assessing the level of possible financial losses and the effectiveness of the process of diversifying financial risks is proposed. The introduction of a mechanism for diversifying financial risks will help reduce financial losses by economic entities, which in turn will improve the overall financial results of their activities.

scholarly journals ASSESSMENT SALES RATIO, SUATU ALAT PENGUKUR KINERJA PENETAPAN NPOP (Studi di Desa Ambarketawang, Sleman)

2016 ◽  
Vol 2 (1) ◽  
pp. 102
Author(s):  
Asih Retno Dewi
Keyword(s):  
Performance Measurement ◽  
Market Value ◽  
Land Market ◽  
Analysis Tool ◽  
Value Assessment ◽  
Property Market

Abstract: Performance measurement in determining the Tax Object Acquisition Value as the basis for the imposition of duties onAcquisition of Land and Building Rights is conducted by analysis tool using assessment sales ratio (ASR). ASR analysis aims todetermine the level of conformity of Tax Object Acquisition Value (NPOP) to land market value to determine whether Tax ObjectAcquisition Value is in proportion, experienced under assessment, or over- assessment. Moreover, this technique also aims tomeasure diversity (variability) to account the level of fairness of Tax Object Acquisition Value as the bases of Duty on Acquisitionof Land and Building Rights (BPHTB). The results shows that the determination of Tax Object Acquisition Value as the bases todetermine BPHTB in Ambarketawang is lower compared to its property market value (under-assessment occurred). The variabilityon the determination of Tax Object Sales Value NPOP as the bases to determine BPHTB in Ambarketawang village is high, impliesthat it does not indicate good uniformity.Keywords: Tax Object Acquisition Value, Property Market Value, Assessment Sales RatioIntisari: Pengukuran kinerja dalam penetapan Nilai Perolehan Objek Pajak (NPOP) sebagai dasar pengenaan Bea Perolehan Hakatas Tanah dan Bangunan (BPHTB) dilakukan dengan alat analisis assessment sales ratio(ASR). Analisis ASR bertujuan untukmengetahui tingkat kesesuaian NPOP terhadap nilai pasar tanah apakah dalam penetapan NPOP sudah proporsional, terjadi underassessment, atau over assessment. Selain itu, juga bertujuan untuk mengukur keberagaman (variabilitas) NPOP sehingga diketahuitingkat keadilan penetapan NPOP sebagai dasar pengenaan BPHTB. Hasil penelitian menunjukkan bahwa penetapan NPOP sebagaidasar pengenaan BPHTB di Desa Ambarketawang masih relatif rendah dibandingkan dengan nilai pasar tanahnya (terjadiunderassessment).Tingkat keberagaman dalam penetapan NJOP sebagai dasar penentuan BPHTB di Desa Ambarketawang sangattinggi atau tidak menunjukkan keseragaman yang baik.Kata kunci: NPOP, Nilai Pasar Tanah, Assessment Sales Ratio

Making IoT Run

2017 ◽  
Vol 1 (2) ◽  
pp. 26-44
Author(s):  
Peter Schott ◽  
Torben Schaft ◽  
Stefan Thomas ◽  
Freimut Bodendorf
Keyword(s):  
Production Systems ◽  
Smart Manufacturing ◽  
Structural System ◽  
Maturity Level ◽  
Smart Systems ◽  
Industrial Iot ◽  
Increasing Demand ◽  
Manufacturing Environments ◽  
Self Learning

This article describes how today's manufacturing environments are characterized by an increasing demand for individual products and constantly more product variants. Concomitant, developments in the fields of IT, robotics and artificial intelligence allow the realization of smart systems, which means networked, self-learning, self-regulating and versatile production systems to control this complexity. These developments are referred to as industrial IoT that is acknowledged as “next big thing” in production. Firms face the challenge of lacking guidelines for implementing IoT solutions. Neither the technological prerequisites nor generally applicable procedures for realizing an appropriate technological maturity level of the system-to-be exist. Addressing this deficit, a framework is introduced which systematically implements IoT within manufacturing. The framework presents a guideline for the establishment of structural system understanding, the determination of the target system's technological maturity level from a customer's perspective and, building on this, design implications for smart manufacturing.

Improvement in Operational Efficiency Due to ERP Systems Implementation

2011 ◽  
pp. 43-61 ◽  
Author(s):  
Vijay K. Vemuri ◽  
Shailendra C. Palvia
Keyword(s):  
Return On Investment ◽  
Market Value ◽  
Operational Efficiency ◽  
Net Income ◽  
Erp Systems ◽  
Present Value ◽  
Systems Implementation ◽  
Business Efficiency ◽  
The Impact ◽  
Direct Measures

ERP systems are expected to provide many benefits, including improved business efficiency. However, they are also blamed for several business problems and failures. Past studies have analyzed investments in ERP systems based on net income, return on investment, new present value or change in market value of a firm. We argue that an analysis of more direct measures—intangible or tangible—would enhance confidence in the efficacy of ERP systems. We investigate the impact of ERP systems implementation on operational efficiency of medium sized firms in the pharmaceutical and chemicals industry. Our analysis of the data indicates that for a majority of the firms improvement of operational performance expected due to ERP systems did not materialize.

Making IoT Run

2020 ◽  
pp. 377-397
Author(s):  
Peter Schott ◽  
Torben Schaft ◽  
Stefan Thomas ◽  
Freimut Bodendorf
Keyword(s):  
Artificial Intelligence ◽  
Production Systems ◽  
Smart Manufacturing ◽  
Maturity Level ◽  
Smart Systems ◽  
Industrial Iot ◽  
Increasing Demand ◽  
Manufacturing Environments ◽  
Self Learning

This article describes how today's manufacturing environments are characterized by an increasing demand for individual products and constantly more product variants. Concomitant, developments in the fields of IT, robotics and artificial intelligence allow the realization of smart systems, which means networked, self-learning, self-regulating and versatile production systems to control this complexity. These developments are referred to as industrial IoT that is acknowledged as “next big thing” in production. Firms face the challenge of lacking guidelines for implementing IoT solutions. Neither the technological prerequisites nor generally applicable procedures for realizing an appropriate technological maturity level of the system-to-be exist. Addressing this deficit, a framework is introduced which systematically implements IoT within manufacturing. The framework presents a guideline for the establishment of structural system understanding, the determination of the target system's technological maturity level from a customer's perspective and, building on this, design implications for smart manufacturing.

scholarly journals Material flow determination through agricultural machinery management

2010 ◽  
Vol 67 (4) ◽  
pp. 375-383 ◽  
Author(s):  
Thiago Libório Romanelli ◽  
Marcos Milan
Keyword(s):  
Fuel Consumption ◽  
Agricultural Production ◽  
Material Flow ◽  
Production Systems ◽  
Field Capacity ◽  
Effective Field ◽  
Silage Production ◽  
Definition Of ◽  
Agricultural Production Systems

The approach of material embodiment in agricultural production systems is important because it determines the convergence of inputs (indirectly, the natural resources) to the field. Additionally, material flow is the basis for both environmental (energy analysis, emergy synthesis, life-cycle analysis and carbon inventories) and economical analyses. Since different materials cannot compose a single index, generally these flows are not shown, making comparisons among approaches difficult. Another aspect that makes comparisons difficult is the definition of the boundary of the studied system. If these boundaries differ, results will also be different, hiding actual distinctions among systems. The present study aims to suggest an arrangement of existing models to determine material flow in agricultural production systems. The following steps were considered: i) the adoption of a diagram language to represent the analyzed system; ii) determination of the material flow for directly applied inputs; iii) determination of the material flow for indirectly applied inputs, which included: determination of the effective field capacity; fuel consumption; machinery depreciation; and labor. Data on fuel consumption were compared with the models presented. The best model applied was a fixed parameter based on engine power (0.163 L kW-1 h-1). The determination of the material flow for maize silage production presented similar results as those obtained in regional databases.

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