A survey of Cloud Auction mechanisms & decision making in Cloud Market to achieve highest resource & cost efficiency

2016 ◽  
Author(s):  
Ninad Shinde ◽  
P. Sai Kiran
Keyword(s):  
Decision Making ◽  
Cost Efficiency ◽  
Auction Mechanisms ◽  
Resource Cost

Using digital data collection tools to improve overall cost-efficiency and provide timely analysis for decision making during invasive species eradication campaigns

2014 ◽  
Vol 41 (6) ◽  
pp. 499 ◽  
Author(s):  
David J. Will ◽  
Karl J. Campbell ◽  
Nick D. Holmes
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Cost Efficiency ◽  
Relational Databases ◽  
Cost Effective ◽  
Digital Data ◽  
Capital Costs ◽  
Project Costs ◽  
Time Required ◽  
Data Collection Effort

Context Worldwide, invasive vertebrate eradication campaigns are increasing in scale and complexity, requiring improved decision making tools to achieve and validate success. For managers of these campaigns, gaining access to timely summaries of field data can increase cost-efficiency and the likelihood of success, particularly for successive control-event style eradications. Conventional data collection techniques can be time intensive and burdensome to process. Recent advances in digital tools can reduce the time required to collect and process field information. Through timely analysis, efficiently collected data can inform decision making for managers both tactically, such as where to prioritise search effort, and strategically, such as when to transition from the eradication phase to confirmation monitoring. Aims We highlighted the advantages of using digital data collection tools, particularly the potential for reduced project costs through a decrease in effort and the ability to increase eradication efficiency by enabling explicit data-informed decision making. Methods We designed and utilised digital data collection tools, relational databases and a suite of analyses during two different eradication campaigns to inform management decisions: a feral cat eradication utilising trapping, and a rodent eradication using bait stations. Key results By using digital data collection during a 2-year long cat eradication, we experienced an 89% reduction in data collection effort and an estimated USD42 845 reduction in total costs compared with conventional paper methods. During a 2-month rodent bait station eradication, we experienced an 84% reduction in data collection effort and an estimated USD4525 increase in total costs. Conclusions Despite high initial capital costs, digital data collection systems provide increasing economics as the duration and scale of the campaign increases. Initial investments can be recouped by reusing equipment and software on subsequent projects, making digital data collection more cost-effective for programs contemplating multiple eradications. Implications With proper pre-planning, digital data collection systems can be integrated with quantitative models that generate timely forecasts of the effort required to remove all target animals and estimate the probability that eradication has been achieved to a desired level of confidence, thus improving decision making power and further reducing total project costs.

scholarly journals Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources

2020 ◽  
Vol 24 (1) ◽  
pp. 580-603
Author(s):  
Abozar Hashemi ◽  
Ghasem Derakshan ◽  
M. R. Alizadeh Pahlavani ◽  
Babak Abdi
Keyword(s):  
Decision Making ◽  
Power Management ◽  
Energy Resources ◽  
Hybrid Energy ◽  
Management Algorithm ◽  
Residential Electricity ◽  
Resource Cost ◽  
Uncertainty Parameters ◽  
Demand Response Programs ◽  
The Impact

Abstract The present study sought to address the scheduling of the grid-connected hybrid energy resources under uncertainty of renewable sources, and load in the residential sector. After introducing hybrid resources, scheduling model was implemented through a power management algorithm in an attempt to optimize resource cost, emissions, and energy not supplied (ENS). The stated problem consists of two decision-making layers with different weight coefficients based on the prioritization of each objective function. The proposed algorithm is selected for energy optimal management based on technical constraints of the dispatchable and non-dispatchable resources, uncertainty parameters and day ahead real time pricing (RTP). Furthermore, the impact of demand response programs (DRP) on the given algorithm was investigated using load shedding and load shifting techniques. Finally, the results obtained led to the optimization of the functions in all decision-making layers with different modes of operation.

Rational Medical Decision Making Decisively Influences Cost-Efficiency of Autologous Transfusion Measures

2002 ◽  
Vol 96 (Sup 2) ◽  
pp. A1146
Author(s):  
Guenter Singbartl ◽  
Helmut Munkel ◽  
Wolfgang Schleinzer
Keyword(s):  
Decision Making ◽  
Cost Efficiency ◽  
Medical Decision Making ◽  
Medical Decision ◽  
Autologous Transfusion

scholarly journals Infused Chemotherapy Use in the Elderly After Patent Expiration

2012 ◽  
Vol 8 (3S) ◽  
pp. e18s-e23s ◽  
Author(s):  
Rena M. Conti ◽  
Meredith B. Rosenthal ◽  
Blase N. Polite ◽  
Peter B. Bach ◽  
Ya-Chen Tina Shih
Keyword(s):  
Decision Making ◽  
Cost Efficiency ◽  
Empirical Work ◽  
Treatment Decision ◽  
The Elderly ◽  
Patent Expiration ◽  
Treatment Decision Making

As calls for improving the quality and cost efficiency of oncology increase, future empirical work is needed to examine the responsiveness of oncologists' treatment decision making to incentives among patients of all ages and insurance types.

scholarly journals A Scenario-based Model for Resource Allocation with Price Information

2021 ◽  
Vol 46 (4) ◽  
pp. 339-360
Author(s):  
Mojtaba Ghiyasi ◽  
Akram Dehnokhalaji
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Linear Programming ◽  
Cost Efficiency ◽  
Price Information ◽  
Linear Programming Problems ◽  
Overall Efficiency ◽  
Decision Making Units

Abstract In this paper, we consider the problem of allocating resources among Decision Making Units (DMUs). Regarding the concept of overall (cost) efficiency, we consider three different scenarios and formulate three Resource Allocation (RA) models correspondingly. In the first scenario, we assume that overall efficiency of each unit remains unchanged. The second scenario is related to the case where none of overall efficiency scores is deteriorated. We improve the overall efficiencies by a pre-determined percentage in the last scenario. We formulate Linear Programming problems to allocate resources in all scenarios. All three scenarios are illustrated through numerical and empirical examples.

scholarly journals Entertainment Cost Efficiency Analysis With Data Envelopment Analysis (Dea) And Fuzzy Logic (Flp & C-Iowa) Approach To Sales Level

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Dwi Kakung Saputro ◽  
Tedjo Sukmono
Keyword(s):  
Operating System ◽  
Decision Making ◽  
Cost Efficiency ◽  
Efficiency Analysis ◽  
Data Envelopment ◽  
Marketing Department ◽  
Objective Value ◽  
Costing System ◽  
The Impact ◽  
Total Sales

It caused some problems regarding to calculation and measurement of costs which is issued for the level of efficiency desired by the company, namely PT. LLL Surabaya. From the results of measurements and analysis, it shows that system has objective value in “efficient” category. Therefore, the ranking results of regional operating system (DMU3) are the most optimal in terms of sales capacity, which is Rp. 11,745,050,779. It is caused by the impact of providing these costs. Based on the decision-making preferences related to the entertainment costing system, (CI) value is 0.18 for (P1) and 0.03 for (P2). It means that marketing department has more preference for entertainment costing system should be given constantly with the aim that total sales capacity can continue to increase.

MODELING OUTPUT GAINS AND EARNINGS' GAINS

2005 ◽  
Vol 04 (03) ◽  
pp. 433-454 ◽  
Author(s):  
HIROFUMI FUKUYAMA ◽  
WILLIAM L. WEBER
Keyword(s):  
Decision Making ◽  
Cost Efficiency ◽  
Costs Of Production ◽  
Using Data ◽  
Input Prices ◽  
Decision Making Units ◽  
Empirical Illustration

In this paper, we examine the potential gains in physical outputs or earnings on outputs from an optimal reallocation of inputs. When some decision-making units (DMUs) face higher input prices than other DMUs, the Farrell decomposition of cost efficiency can potentially indicate that a firm with lower overall costs of production is less efficient than a firm that uses fewer physical inputs, but has higher costs. We extend our gain functions accounting for cases where DMUs face different input prices. An empirical illustration of our method is provided using data on Japanese banks operating during 2000–2003.

A Strategic Management Perspective on Host Country Structure of Multinational Enterprises

1992 ◽  
Vol 18 (3) ◽  
pp. 455-471 ◽  
Author(s):  
Stephen B. Tallman
Keyword(s):  
Decision Making ◽  
Strategic Management ◽  
Cost Efficiency ◽  
Multinational Enterprises ◽  
Multinational Enterprise ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Management Perspective ◽  
Strategic Manager

This article proposes that the oligopoly power and internalization models of the multinational enterprise should be reviewed in light of the newly developing resource-based model of strategy and managerial decision-making models of strategic management. The perspective described here suggests that strategy-making under conditions of uncertainty and the drive to gain competitive advantage from deployment of firm-specific resources are important issues in the internalization decision of the MNE in a host market. The role of transaction cost efficiency in generating subsidiary governance structures is redefined to be compatible with the demands of these additional considerations of the multinational strategic manager.

scholarly journals Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty

Entropy ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 375 ◽  
Author(s):  
Sebastian Gottwald ◽  
Daniel Braun
Keyword(s):  
Decision Making ◽  
Probability Distributions ◽  
Fundamental Principle ◽  
Limited Resources ◽  
Rational Decision Making ◽  
Elementary Computation ◽  
Decision Making Processes ◽  
Resource Cost ◽  
Computational Resources ◽  
Generalized Entropies

In its most basic form, decision-making can be viewed as a computational process that progressively eliminates alternatives, thereby reducing uncertainty. Such processes are generally costly, meaning that the amount of uncertainty that can be reduced is limited by the amount of available computational resources. Here, we introduce the notion of elementary computation based on a fundamental principle for probability transfers that reduce uncertainty. Elementary computations can be considered as the inverse of Pigou–Dalton transfers applied to probability distributions, closely related to the concepts of majorization, T-transforms, and generalized entropies that induce a preorder on the space of probability distributions. Consequently, we can define resource cost functions that are order-preserving and therefore monotonic with respect to the uncertainty reduction. This leads to a comprehensive notion of decision-making processes with limited resources. Along the way, we prove several new results on majorization theory, as well as on entropy and divergence measures.

scholarly journals Federal and Alberta Energy Project Regulation Reform — At What Cost Efficiency?

2013 ◽  
Vol 51 (2) ◽  
pp. 249
Author(s):  
Rowland J. Harrison ◽  
Lars Olthafer ◽  
Katie Slipp
Keyword(s):  
Decision Making ◽  
Cost Efficiency ◽  
Energy Resource ◽  
Energy Development ◽  
Government Policies ◽  
Regulatory Processes ◽  
Regulation Reform ◽  
Regulatory Decisions ◽  
The Impact

Changes to regulatory regimes at the federal and provincial levels have recently transformed the way that energy resource projects will be considered and approved. The federal Canadian Environmental Assessment Act, 2012 and amended National Energy Board Act, along with the Alberta Responsible Energy Development Act, have taken decision-making power away from the regulators to government in an effort to align regulatory decisions with broader government policies. This article examines a number of the effects of the new regimes including the impact that the changes might have on the role of the regulator, the functioning of regulatory processes, and the development of Canada’s natural resources.

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