scholarly journals Estimation Methods of Cost of Competitiveness Potential of a Transport Enterprise

The article deals with a methodological approach to the cost estimation of competitiveness potential of a transport enterprise. The sequence of estimation of competitiveness potential of a transport enterprise is suggested to be carried out in several stages. A competitive status of the transport enterprise is defined at the first stage by means of a construction of competitiveness matrix. The competitiveness coefficient of transportation service is defined at the second stage. Then competitiveness of all services of transport enterprise is analyzed and the average value of competitiveness of all transport and related services is obtained by means of defining the estimation. Having defined the indicators of competitiveness and the cost of transport enterprise, we estimate market cost of competitiveness potential appropriately. At the next stage of the analysis of efficiency of control of competitiveness potential it is necessary to estimate achievement of development aims and strategic plan of the transport enterprise. In order to estimate the development efficiency and competences implementation and competitive advantages in terms of the market we use traditional approach to the analysis of efficiency according to the effect and cost of the resources spent for its obtaining.

Author(s):  
Aravindhan K

Cost estimation of software projects is risky task in project management field. It is a process of predicting the cost and effort required to develop a software applications. Several cost estimation models have been proposed over the last thirty to forty years. Many software companies track and analyse the current project by measuring the planed cost and estimate the accuracy. If the estimation is not proper then it leads to the failure of the project. One of the challenging tasks in project management is how to evaluate the different cost estimation and selecting the proper model for the current project. This paper summarizes the different cost estimation model and its techniques. It also provides the proper model selection for the different types of the projects.


Author(s):  
Harshal Patwardhan ◽  
Karthik Ramani

Due to the ever-increasing competition in today’s global markets, the cost of the product is rapidly emerging as one of the most crucial factors in deciding the success of the product. Decisions made during the design stage affect as much as 70–80% of the final product cost. Hence, a manufacturing cost estimation tool that can be used by the designer concurrently during the design phase will be of maximum benefit. A literature study of the available cost estimation tools suggests that a majority of these tools are meant for use in the later stages of the product development lifecycle. In the early stages of a product lifecycle, the only information that is available to the designer is related to geometry and material. Hence, the cost estimation methods that have been developed with the intent of being used in the early stages of design make use of the geometric information available at that stage of the design. Most of the earlier models that use parametric cost estimation and features technology consider the design features in their implementation. However, such models fail to consider “manufacturing based features” such as cores and undercuts. These manufacturing based features are very important in deciding the manufacturability and the cost of the part. The Engineering Cost Advisory System (ECAS) is a knowledge-based system that presents cost advice to the designer at the design stage after considering various design parameters and user requirements. Some of these design parameters can be extracted via standard Application Programming Interfaces (APIs). Moreover, ECAS uses innovative techniques of geometric reasoning and the hybrid B-rep-voxel model approach to extract manufacturing feature-based geometric information directly from the CAD input. By considering the manufacturing based features along with the design parameters, the ECAS architecture is applicable to a much wider variety of manufacturing processes. The complexity of the part, which is derived from the geometric parameters (manufacturing based and design based) and other non-geometric user requirements (e.g. quantity, material), is used to estimate the manufacturing effort involved in process specific activities. The final cost is then estimated based on this manufacturing effort and considering the hourly rates of labor and other contextual resources as well as material rates.


2020 ◽  
Vol 4 (2) ◽  
pp. 30
Author(s):  
Novi Swandari Budiarso ◽  
Winston Pontoh

The manufacturing firms have implicit and explicit goals and objectives. In order to achieve these goal and objective then manager needs accounting information. The accounting information created and used by management is intended primarily for planning and control decisions. One of the accounting information is cost accounting that can be used as a tool for planning the profit as the objective of the companies. Manufacturing costs are identified as variable costs or fixed costs under cost behavior analysis. Regression analysis is the one of the cost estimation methods in term to estimate the fixed costs and variable costs where the results of estimation are used to calculate the contribution margin.


Author(s):  
Mark Eklin ◽  
Yohanan Arzi ◽  
Avraham Shtub

In recent years several researchers suggested cost estimation models that consider the limited capacity of the shop. In these studies, the stochastic nature of the shop floor is modeled by a time-consuming simulation. This paper proposes five alternative rough-cut cost estimation methods that can replace the simulation. Three of five methods based on forced idle time prediction. The study compares the cost estimations derived from these methods. A cost estimation method, based on the forced idle time of the bottleneck workstation, was found to be outperform the others. As the best method, the bottleneck-based method was compared to the actual order’s cost and was found as a replacement to simulation.


Author(s):  
Vоlоdуmуr Matyukha

The importance of cost estimation of mineral resources in modern economic theory is noted in the article. It is noted that all currently existing methodical and methodological approaches to the valuation of minerals by their economic nature are in fact an analysis of the economic feasibility of realization of investment projects for the development of deposits, which actually answers the question: is the investment project for the development of the field economically viable. Based on the analysis of literary sources, it is established that at the present stage of development of the world economy, the interest in the economic evaluation of the efficiency of development of mineral resources is not waning. However, methodological approaches are different and there is still no unity in them. Experts point out that the current methods require improvement due to the low accuracy of calculations, since the size of the cost estimate depends on the amount of rental payments for the use of mineral resources in mining and the starting price of the sale of a special permit for the development of deposits at auction. For the first time in the economic theory economics, a graphoanalytic method for the cost estimation of mineral deposits has been proposed. The features of this methodological approach based on integral calculus, including the integration of continuous functions, as well as the method of discounting cash flows with simultaneous consideration of the life cycle scheme of deposits, namely mining and geological conditions of mining are opened. The step-by-step sequence of realization of the proposed method is resulted. It is stated that this approach will allow to obtain a more exact cost estimate of a deposit or subsoil by taking into account the following factors: the life of the deposit, the market conditions of the mineral resources, capital and current expenses connected with extraction of minerals and costs of the subsoil user in the post-mining a period of time related to the closure of mines and quarries and the reclamation of disturbed lands formed during the extraction of minerals.


2021 ◽  
Vol 55 (4) ◽  
pp. 91-98
Author(s):  
N.S. Kudryavtseva ◽  
◽  
А.Е. Sorokin ◽  

We have made a preliminary comprehensive cost estimation for reliability of life support systems (LSS) in 1000-d remote space exploration missions with the loss-of-crew probability at 0.0001 due to failure of hybrid, partly and maximally closed-loop LSSs currently used onboard the ISS Russian segment. Comprehensive cost of a simplified test program is 5-times higher than cost of any LSS. A beta-factor parametric model was used to analyze LSS reliability against common cause failures (CCFs) when reiterative redundancy cannot provide superhigh reliability. It appears that the required reliability against CCFs is achievable on the diversification principle, i.e. reiterative diverse redundancy of basic LSS technologies. The estimated LSS cost is twice as much in comparison with the traditional approach that takes into account independent failures only. Diverse inherent cold redundancy can reduce the cost about 30 % provided that R&D expenses on regenerative subsystems are equal.


2020 ◽  
Vol 2 (5) ◽  
pp. 37-43
Author(s):  
S. M. MOLCHANOVA ◽  
◽  
A. P. DROZDOVA ◽  

The article substantiates the need to use leasing in industrial plants using sophisticated equipment. The essence of the optimal service strategy, the structural dependence of a multi-element system, life cycle cost estimation methods and decision-making methods in the construction industry are disclosed. The necessity of developing a leasing strategy under conditions of an uncertain period of use and price fluctuations to minimize the cost of using equipment and an optimal service policy for extending the lease term was emphasized. Slow renewal of the active part of the fixed assets of construction organizations, a high level of depreciation of fixed assets and the need for their modernization using leasing tools and state support were noted.


Author(s):  
Paolo Cicconi ◽  
Vincenzo Castorani ◽  
Michele Germani ◽  
Marco Mandolini ◽  
Alessio Vita

The paper proposes a methodological approach to support the multi-objective (i.e. cost and structural performance) optimization of complex systems, typical of the oil & gas sector. The complexity is managed through a double-level of optimization. The first one, based on simplified product models (1-D and 0-D), considers an analytical approach for the structural behavior and a parametric one for the cost estimation. The second level considers the use of a 3-D FEM solver for structural simulations, and an analytical tool for the cost estimation. As case study, the paper proposes the design optimization of an oil & gas chimney for gas turbines. The workflow analyzed during the case study describes the use of a multi-objective and multi-level approach to optimize cost, weigh, and structural behavior of oil & gas ducts.


2017 ◽  
Vol 8 (7) ◽  
pp. 1 ◽  
Author(s):  
Julia Bendul ◽  
Vasile Apostu

Automotive die manufacturers face the constant challenge of producing qualitative products while having to reduce costs. However, cost reduction measures are rather insignificant during the actual manufacturing process as the most important cost-impacting decisions are taken during the design phase. Cost estimation methods attempt to determine the production cost already in the design phase; the cost can be broken down and therefore the plan times of manufacturing processes can be pre-calculated, thus enabling early capacity decisions. Many researchers have been focusing for decades on developing efficient cost estimation methods. Yet their scarce access to cost information meant that most of the developed methods could not be evaluated with real data and thus their implementation in practice being challenged. This paper reviews and classifies cost estimation methods and investigates the accuracy of the estimate based onpractical application in 190 cases. The overall aim is to determine the accuracy level of the studied methods in practice and therefore identify their application fields.


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