On the issue of rational use of production areas in the enterprise

2021 ◽  
pp. 24-31
Author(s):  
A. N. Ovchinnikov ◽  
G. E. Ganina
Keyword(s):  
Mathematical Model ◽  
Linear Programming ◽  
Linear Programming Problem ◽  
Cost Effective ◽  
Tape Transport ◽  
Flexible Approach ◽  
Effective Option ◽  
Production Areas ◽  
The Cost ◽  
Assembly Site

This paper considers the problem of uneven loading of the enterprise's production areas, when in the first half of the year they were significantly underutilized, and in the second — considerably overloaded. The result of solving this problem is to create a flexible approach to the planning of production areas, for which a mathematical model of the assembly site has been developed. This model is a linear programming problem. Four options were considered. The cost-effective option is to fulfill all orders in one shift and gradually rent the premises throughout the year. It can be noted that in general, it is more profitable to make absolutely all orders than not to make them — this is due to the high cost of equipment, so it is not possible to sacrifice it. The only exception when it is more profitable not to make part of the orders is if the rental of production areas occurs only at the beginning of the year. In the conditions that are now in the enterprise (one cannot rent areas per year, work in one shift), it is most profitable not to make part of the orders, and this option will be the second in total costs. As a result, a mathematical model of the enterprise was obtained, which can be used on tape transport system to assess the capabilities of the enterprise. This model can be used to obtain forecast values for costs. Further, this model can be extended to all other types of products.

scholarly journals ANN-Based Decision Making in Station Keeping for Geotechnical Drilling Vessel

2021 ◽  
Vol 9 (6) ◽  
pp. 596
Author(s):  
Murugan Ramasamy ◽  
Mohammed Abdul Hannan ◽  
Yaseen Adnan Ahmed ◽  
Arun Kr Dev
Keyword(s):  
Decision Making ◽  
Water Depth ◽  
Business Models ◽  
Cost Benefit ◽  
Cost Effective ◽  
Station Keeping ◽  
Operational Information ◽  
Effective Option ◽  
The Cost ◽  
Cost Factors

Offshore vessels (OVs) often require precise station-keeping and some vessels, for example, vessels involved in geotechnical drilling, generally use Spread Mooring (SM) or Dynamic Positioning (DP) systems. Most of these vessels are equipped with both systems to cover all ranges of water depths. However, determining which system to use for a particular operational scenario depends on many factors and requires significant balancing in terms of cost-benefit. Therefore, this research aims to develop a platform that will determine the cost factors for both the SM and DP station-keeping systems. Operational information and cost data are collected for several field operations, and Artificial Neural Networks (ANN) are trained using those data samples. After that, the trained ANN is used to predict the components of cost for any given environmental situation, fieldwork duration and water depth. Later, the total cost is investigated against water depth for both DP and SM systems to determine the most cost-effective option. The results are validated using two operational scenarios for a specific geotechnical vessel. This decision-making algorithm can be further developed by adding up more operational data for various vessels and can be applied in the development of sustainable decision-making business models for OVs operators.

scholarly journals Economic Evaluation of Home Care for Stroke Patients Compared to Hospital Care: A Systematic Review

Health Scope ◽  
2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Maryam Khoramrooz ◽  
Asra Asgharzadeh ◽  
Saeide Alidoost ◽  
Zeynab Foroughi ◽  
Saber Azami ◽  
...  
Keyword(s):  
Systematic Review ◽  
Economic Evaluation ◽  
Home Care ◽  
Hospital Care ◽  
Cost Effective ◽  
Stroke Patients ◽  
Life Years ◽  
Effective Option ◽  
The Cost

Context: Stroke is one of the main causes of premature death and disability, imposing significant costs on the healthcare system, especially due to expensive hospital care. Home care service is one of the interventions used in the last two decades to reduce the cost of services provided for stroke patients in different countries. Objectives: The present study aimed to systematically review studies related to the economic evaluation of home care compared to hospital care for stroke patients. Data Sources: A search was conducted between January 1990 and January 2021. PubMed, Scopus, Web of Science, and Embase databases were searched systematically. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to select the studies. Data Extraction: To evaluate the quality of studies included in this systematic review, Drummond’s ten-item checklist was used. Results: Five economic evaluation studies were included in this review. The included studies reported different results regarding the effect of home care on improving different indicators and the cost-effectiveness ratio of home care to hospital care. Most previous studies reported that home care is a more cost-effective option for improving many indicators, such as physical function and quality-adjusted life years (QALY), and for reducing mortality and institutionalization, compared to hospital care. Conclusions: Home care is a more cost-effective option than hospital care for stroke patients with regard to some indicators, such as the Barthel index for Activities of Daily Living, Modified Rankin Scale (mRS), quality of life, mortality, and institutionalization. However, there are some exemptions to this conclusion. Due to limitations, such as heterogeneity of interventions in the existing studies, different levels of patients’ disabilities, different perspectives toward economic evaluation, and differences in the healthcare systems of countries, further research is needed according to the context of each country based on clinical trials.

Economic Evaluation of Kidney Transplantation versus Hemodialysis in Patients with End-Stage Renal Disease in Hungary

2001 ◽  
Vol 11 (3) ◽  
pp. 188-193 ◽  
Author(s):  
Zoltán Kaló ◽  
Jeno Járay ◽  
Júlia Nagy
Keyword(s):  
Kidney Transplantation ◽  
Renal Disease ◽  
End Stage Renal Disease ◽  
Cost Effective ◽  
Effective Option ◽  
Hungarian Population ◽  
Cadaveric Kidney ◽  
Stage Renal Disease ◽  
End Stage ◽  
The Cost

Background— Kidney transplantation is generally acknowledged as the more clinically effective and more cost-effective option in managing patients with end-stage renal disease, compared with dialysis. This study looked for confirmatory evidence in a Hungarian population. Methods— Patients (n = 242) with end-stage renal disease who received cadaveric kidney transplantation during 1994 were followed up for 3 years. They were compared with patients (n = 840) receiving hemodialysis who were on a waiting list for transplantation. Data were collected retrospectively. Treatments were compared for clinical efficacy and for cost-effectiveness. Results— At month 36, the standard mortality hazard function was 3.5 times higher in the group receiving hemodialysis ( P<.0001) than in the transplant recipients. Average treatment costs per patient over the 3 years were also significantly higher ( P<.0001) in the hemodialysis group than in the group that received transplants. The cost of 1 year gained by transplantation was significantly less ( P<.0001) than the cost associated with hemodialysis. Conclusions— Compared with hemodialysis, kidney transplantation provides greater survival benefits to patients with end-stage renal disease, at less cost.

Supply Chain Design of Manufacturing Processes with Blending Technologies

2017 ◽  
Vol 261 ◽  
pp. 509-515 ◽  
Author(s):  
Ágota Bányainé Tóth ◽  
Béla Illés ◽  
Fabian Schenk
Keyword(s):  
Mathematical Model ◽  
Linear Programming ◽  
Supply Chain ◽  
Literature Review ◽  
Linear Programming Problem ◽  
Integrated Approach ◽  
Integrated Model ◽  
Supply Chain Design ◽  
Manufacturing Processes ◽  
Proposed Model

Blending technologies play an important role in manufacturing. The design and operation of manufacturing processes using blending technologies represent a special range of manufacturing related logistics because the integrated approach of technological and logistic parameters is very significant. This research proposes an integrated model of supply of manufacturing processes using blending technologies. After a careful literature review, this paper introduces a mathematical model to formulate the problem of supply chain design for blending technologies. The integrated model includes the optimal purchasing strategy depending on the characteristics of components to be mixed in the desired proportion and the costs of supply. The integrated model will be described as a linear programming problem. Numerical results with different datasets demonstrate how the proposed model takes technological and logistic aspects into consideration.

Minimax Input Shaper Design Using Linear Programming

2008 ◽  
Vol 130 (5) ◽  
Author(s):  
Tarunraj Singh
Keyword(s):  
Linear Programming ◽  
Nonlinear Programming ◽  
Programming Problem ◽  
Linear Programming Problem ◽  
Barycentric Coordinates ◽  
Nonlinear Programming Problem ◽  
Dome A ◽  
Input Shaper ◽  
Maximum Value ◽  
The Cost

The focus of this paper is on the design of robust input shapers where the maximum value of the cost function over the domain of uncertainty is minimized. This nonlinear programming problem is reformulated as a linear programming problem by approximating a n-dimensional hypersphere with multiple hyperplanes (as in a geodesic dome). A recursive technique to approximate a hypersphere to any level of accuracy is developed using barycentric coordinates. The proposed technique is illustrated on the spring-mass-dashpot and the benchmark floating oscillator problem undergoing a rest-to-rest maneuver. It is shown that the results of the linear programming problem are nearly identical to that of the nonlinear programming problem.

scholarly journals Mathematical modeling in economics for selection of optimum investment solution

2021 ◽  
Vol 273 ◽  
pp. 08003
Author(s):  
Arthur Alukhanyan ◽  
Olga Panfilova
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Linear Programming ◽  
Mathematical Models ◽  
Programming Problem ◽  
Linear Programming Problem ◽  
Target Function ◽  
Investment Portfolio ◽  
Monetary Relations ◽  
Selection Of

This work is devoted to development of economic and mathematical models for selection of the optimum investment solution. Moreover, it states the basis for development of model examples and correction of the model considering the results obtained in the examples. In the work the problem is set for selection of the investment sources and objects, which is limited to the linear programming problem. The controlled variable and basic limitations simulating real credit and monetary relations are distinguished in the provided model. The discounted profit obtained from implementation of the optimum investment portfolio is considered as a target function. The economic and mathematical model presented in the article allows finding the optimum investment solution within the limits of the credit and monetary relations taking place both at the micro- and macroeconomic level.

scholarly journals Optimizing the Cost-Effectiveness of an Industrial Natural Gas Cogeneration Facility in a Regulated Electric Utility Environment

2002 ◽  
Author(s):  
Mike Bedley
Keyword(s):  
Cost Effective ◽  
Electric Utility ◽  
Public Utility ◽  
Electric Industry ◽  
Industrial Facilities ◽  
Regulatory Policies ◽  
Structural Framework ◽  
Effective Option ◽  
Generating Capacity ◽  
The Cost

Since Congress enacted the Public Utility Regulatory Policies Act (PURPA) in 1978, the electric utility industry has experienced many significant changes — legal, structural and technical. For purposes of this discussion, one of the more important changes that resulted was the installation of substantial electric generating capacity via “cogeneration” at industrial facilities nationwide. PURPA defined, and created by law, entities known as “qualifying facilities” or “QFs”, and established a framework in which they were allowed to compete with utilities in both the wholesale electric market (by sales for resale) and retail electric markets (by self-generation). The Energy Policy Act of 1992 (EPAct92) took PURPA one step further, allow additional entities — such as Exempt Wholesale Generators (EWG), marketers and brokers — to participate in the wholesale electric markets, forever changing the once monopolistic structure of the electric industry. Importantly, from a legal, structural and technical standpoint, QFs continue to enjoy advantages over other generators - both utility and non-utility. The legal and structural framework continue to favor QFs and technically, the equipment available for cogeneration facilities is significantly more efficient, reliable and environmentally friendly than in the past. Cogeneration can be a very cost-effective option for large energy users, providing in many instances the only alternative to purchasing electricity from the monopoly utility. Paper published with permission.

scholarly journals A New Approach to Find an Optimal Solution of a Fuzzy Linear Programming Problem by Fuzzy Dynamic Programming

2018 ◽  
Vol 7 (4.10) ◽  
pp. 360
Author(s):  
T. Nagalakshmi ◽  
G. Uthra
Keyword(s):  
Dynamic Programming ◽  
Linear Programming ◽  
Objective Function ◽  
Programming Problem ◽  
Linear Programming Problem ◽  
Optimal Solution ◽  
Fuzzy Linear Programming ◽  
New Approach ◽  
The Cost ◽  
Recursive Equations

This paper mainly focuses on a new approach to find an optimal solution of a fuzzy linear programming problem with the help of Fuzzy Dynamic Programming. Linear programming deals with the optimization of a function of variables called an objective function, subject to a set of linear inequalities called constraints. The objective function may be maximizing the profit or minimizing the cost or any other measure of effectiveness subject to constraints imposed by supply, demand, storage capacity, etc., Moreover, it is known that fuzziness prevails in all fields. Hence, a general linear programming problem with fuzzy parameters is considered where the variables are taken as Triangular Fuzzy Numbers. The solution is obtained by the method of FDP by framing fuzzy forward and fuzzy backward recursive equations. It is observed that the solutions obtained by both the equations are the same. This approach is illustrated with a numerical example. This feature of the proposed approach eliminates the imprecision and fuzziness in LPP models. The application of Fuzzy set theory in the field of dynamic Programming is called Fuzzy Dynamic Programming. 

scholarly journals ANN-Based Decision Making in Station Keeping for Geotechnical Drilling Vessel

2021 ◽  
Author(s):  
Murugan Ramasamy ◽  
Mohammed Abdul Hannan ◽  
Yaseen Adnan Ahmed ◽  
Arun Kr Dev
Keyword(s):  
Decision Making ◽  
Water Depth ◽  
Business Models ◽  
Cost Benefit ◽  
Cost Effective ◽  
Station Keeping ◽  
Operational Information ◽  
Effective Option ◽  
The Cost ◽  
Cost Factors

Offshore vessels (OVs) often requires precise station-keeping and some vessels, for example, vessel involves in geotechnical drilling generally use Spread Mooring (SM) or Dynamic Positioning (DP) systems. Most of these vessels are equipped with both systems to cover all ranges of water depths. However, determining which systems to use for a particular operational scenario depends on many factors and requires significant balancing in terms of cost-benefit. Therefore, this research aims to develop a platform that will determine the cost factors for both the SM and DP station keeping systems. Operational information and cost data are collected for several field operations, and Artificial Neural Networks (ANN) is trained using those data samples. After that, the trained ANN is used to predict the components of cost for any given environmental situation, fieldwork duration and water depth. Later, the total cost is investigated against water depth for both DP and SM systems to determine the most cost-effective option. The results are validated using two operational scenarios for a specific geotechnical vessel. This decision-making algorithm can be further developed by adding up more operational data for various vessels and can be applied in the development of sustainable decision-making business models for OVs operators.

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