A CASE Tool Evaluation and Selection Methodology

Author(s):  
Aniruddha Guha Biswas ◽  
Raveesh Tandon ◽  
Anurika Vaish

CASE Tools have been considered as the most advanced technique to derive quality products. The cost associated with CASE tools is generally high due to their steep learning curves and is a matter of concern for software engineering houses. This makes it imperative that the right set of CASE tools are evaluated and selected for a particular set of tasks. This research paper proposes a methodology for the purpose of comparison and selection of various CASE tools available in the market. The proposed methodology allows its users to easily identify and select the best CASE tool suited to their purpose. The paper proposes a matrix based model, mapped across parameters and their attributes that produces an optimised score card that supports the decision making process.

2015 ◽  
Vol 818 ◽  
pp. 268-271
Author(s):  
Peter Ižol ◽  
Jozef Beňo

Forming dies are often costly for producers and the cost amount is influenced by production process too. If the die is manufactured by machining, proper strategies would necessary to consider as well. The right selection of adequate strategy helps production times shortening, tool wear reducing and those affect production effectiveness. Used strategies and its parameters are often compromise between acceptable surface quality and variations in shape aside, and production time on the other side. The paper presents the way of evaluation of milling strategy based on selected elements of forming die. This allows choosing the adequate strategy for particular shapes of die and also to evaluate them by the reached surface quality. Presented approach is verified by machining forging die cavity for production of connecting rod.


Author(s):  
Arkadiusz Januszewski

The selection of the right cost calculation method is of critical importance when it comes to determining the real product profitability (as well as clients and other calculation objects). Traditional cost calculation methods often provide false information. The literature offers many examples of big companies that have given up traditional methods and applied a new method: activity-based costing (ABC). They discovered that many products that are manufactured generate losses and not profits. Managers, based on incorrect calculations, mistakenly believed in the profitability of each product. Turney (1991) reports on an example of an American manufacturer of over 4,000 different integrated circuits. The cost calculation with the allocation of direct production costs as machinery-hour markup demonstrated a profit margin of over 26% for each product. Implementing ABC showed that the production of more than half of the products was not profitable, and having factored in additional sales and management costs (which accounted for about 40% of the total costs), it was as much as over 75%.


2016 ◽  
Vol 820 ◽  
pp. 96-101 ◽  
Author(s):  
Lucia Paulovičová

Earthwork processes are the most costly and time consuming component of construction these days and they are characterized by a powerful heavy mechanization which participate on the earthwork process. Current pressure for minimize the cost and maximize the productivity highlights the need to optimize earthworks. In this paper, the optimization process in the area of earthwork processes is described. The selection of the right types of machines for earthwork and its implements has become very difficult these days because of availability of variety of machines models and therefore a multicriteria method is presented to tackle the problem. This paper describes methodology for optimizing the earthwork process according to the selected optimal criteria. The methodology is focused on the proposal phase of optimization where the decision maker has to make a decision and choose the right type of excavators. To overcome the problem of comparing the chosen machines a mathematical modeling approach leading to multicriteria optimization was adopted to make the step wise decision. The methodology gives an mathematical models by which we can solve this problem.


2020 ◽  
Vol 13 (3) ◽  
pp. 289-293
Author(s):  
Bartosz J. Sapilak

Resistance to antibiotics is becoming a serious clinical problem. It increases the cost of treatment and is the reason for the failure of therapy. It cannot be eliminated, but the principles of prevention must be respected. First, do not prescribe chemotherapeutics in the therapy of viral infections and symptomatic treatment, after the second care to the selection of a sufficiently high dose, recommend regular intake of the drug and do not shorten the time of therapy. It is also important to choose the right active substance, which should be conditioned by the expected sensitivity of bacteria, the localization of inflammation and the age of the patient. Do not forget about the accompanying therapy, including the ordination of the probiotic and antifungal protection.


2021 ◽  
Author(s):  
Roberto Company ◽  
Sabrina Hocine ◽  
Baptiste Pousset ◽  
Mikel Morvan

Abstract Brine composition is one of the key parameters in the design of a surfactant based oil recovery process and is a condition imposed by the reservoir nature. This brine can contain a large variety of ions including monovalent and divalent cations (hardness), which impacts the surfactants solubility. Moreover, hardness evolution during the injection process can also impair surfactant formulations’ performances. Water treatment processes are useful ways to mitigate such risks, but they imply higher CAPEX for the process. As a consequence, the selection of the right surfactant will have a large impact on the cost and on crude oil production. This paper describes solution properties of the most common surfactants used in surfactant flooding i.e. Alkyl Benzene Sulfonates (ABS) and Internal Olefin Sulfonates (IOS) as a function of the brine hardness and will be compared with Internal Ketone Sulfonates (IKS), a new bio-based surfactant family.


2019 ◽  
Vol 3 ◽  
pp. 63-68
Author(s):  
M Fakhruddin Alfaris M Fakhruddin Alfaris ◽  
M Qurtubi

Companies must choose suppliers properly, because the selection of the right supplier can reduce raw material costs and increase the competitiveness of the company, while improper supplier selection can cause financial and operating problems. The purpose of this study is to determine the optimal supplier and order quantity of raw materials. As for the object of the research is a multipurpose technology machinery company. Data collection methods used in this study were observation, interviews, and questionnaires. Supplier data is processed using the AHP method to determine the right supplier, while the linear programming method is used to determine the order quantity of the raw material. Based on the calculation, the DS supplier gets a weight of 0.65 and the LG supplier gets a weight of 0.35. The optimal order quantity from each supplier is 7.5 tons for DS and 7.5 tons suppliers for LG suppliers. From the results of the optimization, the cost reduction figure is Rp. 3,750,000 or 3% of the total cost of purchase.


Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1270 ◽  
Author(s):  
Alfredo Alcayde ◽  
Raul Baños ◽  
Francisco Arrabal-Campos ◽  
Francisco G. Montoya

An adequate selection of an energy provider and tariff requires us to analyze the differentalternatives to choose one that satisfies your needs. In particular, choosing the right electricity tariff isessential for reducing company costs and improving competitiveness. This paper analyzes the energyconsumption of large consumers that make intensive use of electricity and proposes the use of geneticalgorithms for optimizing the tariff selection. The aim is to minimize electricity costs including twofactors: the cost of power contracted and the heavy penalties for excess of power demand over thepower contracted in certain time periods. In order to validate the proposed methodology, a casestudy based on the real data of energy consumption of a large Spanish university is presented. Theresults obtained show that the genetic algorithm and other bio-inspired approaches are able to reducethe costs associated to the electricity bill.


Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 149 ◽  
Author(s):  
Miguel Crespo Chacón ◽  
Juan Rodríguez Díaz ◽  
Jorge García Morillo ◽  
Aonghus McNabola

In pressurized irrigation networks, energy reaches around 40% of the total water costs. Pump-as-Turbines (PATs) are a cost-effective technology for energy recovery, although they can present low efficiencies when operating outside of the best efficiency point (BEP). Flow fluctuations are very important in on-demand irrigation networks. This makes flow prediction and the selection of the optimal PAT more complex. In this research, an advanced statistical methodology was developed, which predicts the monthly flow fluctuations and the duration of each flow value. This was used to estimate the monthly time for which a PAT would work under BEP conditions and the time for which it would work with lower efficiencies. In addition, the optimal PAT power for each Excess Pressure Point (EPP) studied was determined following the strategy of minimising the PAT investment payback period (PP). The methodology was tested in Sector VII of the right bank of the Bembézar River (BMD), in Southern Spain. Five potential sites for PAT installation were found. The results showed a potential energy recovery of 93.9 MWh and an annual energy index per irrigated surface area of 0.10 MWh year−1 ha−1. Renewable energy will become increasingly important in the agriculture sector, to reduce both water costs and the contribution to climate change. PATs represent an attractive technology that can help achieve such goals.


2001 ◽  
Author(s):  
Nicholas C. D’Orsi ◽  
Sharon E. Wight ◽  
Tsukasa Yoshinaka

Abstract A design study of various water vapor compressor configurations — including single and multistage centrifugal compressors and multistage axial compressors — is used to determine geometry and performance trends as a function of design speed, compressor configuration, and intercooling method. The intercooled multistage centrifugal machines led to the lowest required power levels, though the large outer diameter of these machines and the addition of an intercooler may reduce their appeal. The non-intercooled multistage axial configurations offered high design point performance and a much smaller outer diameter than the centrifugal machines, though at the expense of large overall axial length and limited flow range. Ultimately, the selection of the right machine for a given application is a tradeoff between the performance and geometry trends illustrated in this paper, as well as the cost of the machine.


2020 ◽  
Vol 2 (1) ◽  
pp. 23-30
Author(s):  
I Made Juniastra

Building is a complex job, where careful planning is  needed first. Ranging from site analysts, function analysis, to building analysis, it must be  carefully reviewed so  that the building can function optimally later. Sanur is an area that develops the  tourism  industry, therefore supporting facilities such as food stalls / restaurants are certainly very appropriate to be developed to support the tourism industry. Establishing a seafood /  seafood food stall in an uncertain area of development must of  course  be  taken  into account in order to invest in building permanently. Bambu building is the right alternative, because the cost of building is relatively cheap and can be dismantled or moved later to another place if it is not needed, and in accordance with Balinese culture. The key to the success of bambu buildings is the selection of materials. Bambu that is used is  bambu that   is old enough and has been through a preservation process to last long. For the culinary industry cleanliness is the main requirement. So that the selection  of  weeds  as  a  roof cover is with synthetic weeds, because it has a strong and not fall / dust resistance like natural weeds.


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