scholarly journals Analysis of Economic Indicators of Complex Production Processes

2018 ◽  
Vol 7 (3.5) ◽  
pp. 7
Author(s):  
Korneev A.M ◽  
Abdullakh L.S

The article describes the methodology for describing the economic indicators of management effectiveness and decision-making under conditions of complex multi-stage productions. The algorithm and the forecast model of the need for production resources are presented, that allow providing more complete information on costs and help in pricing for various products, significantly reducing the response time to economic and technological situation changes. Characteristics of technology parameters are linked to a multi-stage production process. As the semi-finished product passes through the processing stages, the values of the technological factors are fixed. Methods for estimating the influence of parameters of complex spatially-distributed systems on costs are presented. Important elements of costs that affect the product value are determined. Detailing the cost elements for the technological operations under study is carried out, the boundaries, where the largest amount of resources is spent, are determined. 

2018 ◽  
Vol 7 (3.5) ◽  
pp. 51
Author(s):  
Korneev A.M ◽  
Abdullakh L.S

The article describes the methodology for describing the economic indicators of management effectiveness and decision-making under conditions of complex multi-stage productions. The algorithm and the forecast model of the need for production resources are presented, that allow providing more complete information on costs and help in pricing for various products, significantly reducing the response time to economic and technological situation changes. Characteristics of technology parameters are linked to a multi-stage production process. As the semi-finished product passes through the processing stages, the values of the technological factors are fixed. Methods for estimating the influence of parameters of complex spatially-distributed systems on costs are presented. Important elements of costs that affect the product value are determined. Detailing the cost elements for the technological operations under study is carried out, the boundaries, where the largest amount of resources is spent, are determined.  


2020 ◽  
Vol 8 (1) ◽  
pp. 78-88
Author(s):  
L. I. Moroz ◽  
◽  
I. B. Khoma ◽  
P. A. Horyslavets ◽  
◽  
...  

The article presents the research and rationale of theoretical issues and applied decisions regarding the influence of enterprises and the mechanism of managing production processes with regeneration (renovation) on the competitiveness. Mathematical tools were developed and methods for calculating basic economic indicators were suggested, namely, the starting factors and direct regulatory costs for materials; the economic and mathematical model of production processes with regeneration was designed, which allows comparing the output of production with the cost of its manufacturing and the improvements of the competitiveness of strategically important enterprises.


2017 ◽  
pp. 34-47
Author(s):  
Hoi Le Quoc ◽  
Nam Pham Xuan ◽  
Tuan Nguyen Anh

The study was targeted at developing a methodology for constructing a macroeconomic performance index at a provincial level for the first time in Vietnam based on 4 groups of measurements: (i) Economic indicators; (ii) oriented economic indicators; (iii) socio-economic indicators; and (iv) economic - social – institutional indicators. Applying the methodology to the 2011 - 2015 empirical data of all provinces in Vietnam, the research shows that the socio-economic development strategy implemented by those provinces did not provide balanced outcomes between growth and social objectives, sustainability and inclusiveness. Many provinces focused on economic growth at the cost of structural change, equality and institutional transformation. In contrast, many provinces were successful in improving equality but not growth. Those facts threaten the long-term development objectives of the provinces.


Author(s):  
Mark Blaxill ◽  
Toby Rogers ◽  
Cynthia Nevison

AbstractThe cost of ASD in the U.S. is estimated using a forecast model that for the first time accounts for the true historical increase in ASD. Model inputs include ASD prevalence, census population projections, six cost categories, ten age brackets, inflation projections, and three future prevalence scenarios. Future ASD costs increase dramatically: total base-case costs of $223 (175–271) billion/year are estimated in 2020; $589 billion/year in 2030, $1.36 trillion/year in 2040, and $5.54 (4.29–6.78) trillion/year by 2060, with substantial potential savings through ASD prevention. Rising prevalence, the shift from child to adult-dominated costs, the transfer of costs from parents onto government, and the soaring total costs raise pressing policy questions and demand an urgent focus on prevention strategies.


Author(s):  
Н.Г CHAMURLIEV ◽  
◽  
A.S. SHPEROV ◽  
И.С. SHENGELIA ◽  
А.А. ZYKOV ◽  
...  

The article presents the results of a comparative assessment of the linear and weight growth of the m meat content of young goats of the Zaanen and Anglo-Nubian breeds, determines the cost of feed per unit of production, and calculates the economic indicators of production


2021 ◽  
Vol 13 (20) ◽  
pp. 11295
Author(s):  
Ali Babaeebazaz ◽  
Shiva Gorjian ◽  
Majid Amidpour

In this study, a small-scale two-stage multi-stage flash (MSF) desalination unit equipped with a vacuum pump and a solar parabolic collector (PDC) with a conical cavity receiver were integrated. To eliminate the need for heat exchangers, a water circulation circuit was designed in a way that the saline feedwater could directly flow through the receiver of the PDC. The system’s performance was examined during six days in July 2020, from 10:00 a.m. to 3:00 p.m., under two distinct scenarios of the MSF desalination operation under the vacuum (−10 kPa) and atmospheric pressure by considering three saline feedwater water flow rates of 0.7, 1 and 1.3 L/min. Furthermore, the performance of the solar PDC-MSF desalination plant was evaluated by conducting energy and exergy analyses. The results indicated that the intensity of solar radiation, which directly affects the top brine temperature (TBT), and the values of the saline feedwater flow rate have the most impact on productivity. The maximum productivity of 3.22 L per 5 h in a day was obtained when the temperature and saline feedwater flow rate were 94.25 °C (at the maximum solar radiation of 1015.3 W/m2) and 0.7 L/min, respectively, and the MSF was under vacuum pressure. Additionally, it was found that increasing the feedwater flow rate from 0.7 to 1.3 L/min reduces distillate production by 76.4% while applying the vacuum improves the productivity by about 34% at feedwater flow rate of 0.7 L/min. The exergy efficiency of the MSF unit was obtained as 0.07% with the highest share of exergy destruction in stages. The quality parameters of the produced distillate including pH, TDS, EC and DO were measured, ensuring they lie within the standard range for drinking water. Moreover, the cost of freshwater produced by the MSF plant varied from 37 US$/m3 to 1.5 US$/m3 when the treatment capacity increased to 8000 L/day.


2020 ◽  
Vol 4 (2) ◽  
pp. 577-583
Author(s):  
M. B. Usman ◽  
O. S. Aaasa ◽  
O. S. Balogun ◽  
U. F. Yahaya

This study investigated the marketing of frozen fish in Kaduna metropolis, Kaduna state. Ten (10) markets were purposively selected due to high concentration of frozen fish marketers and the volume of trading activities; Primary data were generated through the use of structured questionnaire administered to hundred (100) randomly selected retailers and fifteen (15) purposively selected wholesalers. The data were analyzed using descriptive statistic, budgeting technique, net marketing and rate of return on capital invested. The result show that majority 80 percent and 53 of the retailers and wholesalers were female, Majority (70prcent) of the retailers had primary education but most of the wholesaler’s attained tertiary education. The frozen fish marketing channels identified in the area are made up of zero and multi stage channels. Furthermore, the cost and return analysis revealed that the wholesalers realized about N121, 000.00 naira while the retailers got N56, 000.00 naira per month while return to per capital invested (RPCI) was 11 kobo and 22 kobo per Naira invested for the wholesalers and the retailers respectively. This implies that the enterprise is profitable. Transportation difficulties and marketing charges ranked were major constraints confronting frozen fish marketers. It is recommended that provision of good roads network and formidable integrated marketing system will further improve the profitability of the enterprise in the study area.


2021 ◽  
Vol 70 ◽  
pp. 77-117
Author(s):  
Allegra De Filippo ◽  
Michele Lombardi ◽  
Michela Milano

This paper considers multi-stage optimization problems under uncertainty that involve distinct offline and online phases. In particular it addresses the issue of integrating these phases to show how the two are often interrelated in real-world applications. Our methods are applicable under two (fairly general) conditions: 1) the uncertainty is exogenous; 2) it is possible to define a greedy heuristic for the online phase that can be modeled as a parametric convex optimization problem. We start with a baseline composed by a two-stage offline approach paired with the online greedy heuristic. We then propose multiple methods to tighten the offline/online integration, leading to significant quality improvements, at the cost of an increased computation effort either in the offline or the online phase. Overall, our methods provide multiple options to balance the solution quality/time trade-off, suiting a variety of practical application scenarios. To test our methods, we ground our approaches on two real cases studies with both offline and online decisions: an energy management problem with uncertain renewable generation and demand, and a vehicle routing problem with uncertain travel times. The application domains feature respectively continuous and discrete decisions. An extensive analysis of the experimental results shows that indeed offline/online integration may lead to substantial benefits.


2018 ◽  
Vol 14 (2) ◽  
pp. 95
Author(s):  
Novitasari Dika Kusuma Dewi ◽  
Eny Lestari ◽  
Heru [email protected] Irianto

<em>This   research   aims   to   find   out   the   effects   of   product   attributes, environmental awareness, the cost of fertilizer usage, subjective norms to the attitude of Petroganik fertilizer purchases also to find out the effects of attitude, subjective norms and cost of fertilizer usage to the intentions of purchasing Petroganik fertilizer. The method used in this research is explanatory methods by using survey techniques. Method taken to determine research location was conducted purposively and this research is done in Nogosari District and Musuk District. The method used for gathering samples with multi stage random sampling. Samples in this research were collected  from  64  respondents  split  from  4  villages  and  8  group  farmers.  The technique of collecting data was solved through observation, interviews, and logging. The analysis of the sample data used for this research is Structural Equation Models (SEM) method and also Partial Least Square (PLS) as an altiernative method. The research finds that (1) product attributes and  environmental awareness positively determinants of  purchase attitudes. (2) subjective norms, purchase attitudes, and cost of fertilizer usage affects the purchase intentions for Petroganik fertilizer.</em>


2017 ◽  
Vol 3 (4) ◽  
pp. 39
Author(s):  
Faith Wambui Kanjumba

Housing impact on an economy is undisputed. Economic factors comprising market forces, cost of inputs, the macro economy and the cost of funding are one set of factors that impacts on the funding of the supply-side of housing.  Financiers’ reactionary actions to encourage uptake of credit is undertaken by use of innovation and technology. This paper sets to establish the relationships between both economic and innovative factors, and funding of the supply-side of housing in Kenya and also the moderating effect of the major stakeholders. Using an explanatory form of approach in research design a survey was conducted using questionnaires to collect data from a random sample of 212 branches in Nairobi of financial institutions drawn from a population of 43 commercial banks, 9 deposit-taking MFIs and three major financiers of housing. Factor analysis, correlation analysis and ordinal logit regression were used to determine the relationships. A negative relationship between economic factors and funding of housing was found, while innovative financing and technological factors were found to have no influence. A positive moderating effect of stakeholders on the relationships between both economic factors, and innovative financing and technological factors on one side, and funding of housing was established. The implication being that economic factors play a bigger role in impacting housing and a stable economy is conducive in encouraging investments in housing, with government acting more as an enabler. Innovative financing and technology act as facilitators only.


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