scholarly journals Optimization Models for Multiple Resource Planning

2021 ◽  
Author(s):  
Norah Mohammed Z. Al-Dossari ◽  
Mohamed Haouari ◽  
Mohamed Kharbeche
Keyword(s):  
Resource Planning ◽  
Solution Approach ◽  
Organizational Environments ◽  
Resource Loading ◽  
Administrative Development ◽  
Efficient Resource ◽  
Using Data ◽  
Multiple Resource ◽  
The Cost ◽  
Novel Model

Multiple resource planning is a very crucial undertaking for most organizations. Apart from reducing operational complexity, multiple resource planning facilitates efficient allocation of resources, which reduces costs by minimizing the cost of tardiness and the cost for additional capacity. The current research investigates multiple resource loading problems (MRLP). MRLPs are very prevalent in today’s organizational environments and are particularly critical for organizations that handle concurrent, time-intensive, and multiple-resource projects. Using data obtained from the Ministry of Administrative Development, Labor and Social Affairs (ADLSA), a MRLP is proposed. The problem utilizes data regarding staff, time, equipment, and finance to ensure efficient resource allocation among competing projects. In particular, the research proposes a novel model and solution approach for the MRLP. Computational experiments are then performed on the model. The results show that the model performs well, even for higher instances. The positive results attest to the effectiveness of the proposed MRLP problem.

High-Density Computing: Efficient Versus Conventional Design

2015 ◽  
Author(s):  
Dan Comperchio ◽  
Sameer Behere
Keyword(s):  
High Performance ◽  
Data Centers ◽  
Energy Savings ◽  
Large Data ◽  
Resource Planning ◽  
Efficient Design ◽  
Efficient Resource ◽  
Enterprise Level ◽  
Using Data

Data centers are expensive to build and operate. Large data centers cost $9–13/W to build [1] and can consume more than forty times, and up to over two hundred times, the amount of energy and resources consumed by a typical building [2], [3]. Therefore, space and energy considerations need to be accounted for when evaluating competing designs for high-performance computing (HPC) installations. This paper describes the results of an incremental cost and energy savings analysis conducted using data collected from a real-world case study to evaluate the impacts of efficient resource planning and implementing a total cost of ownership (TCO) model in the analysis of IT equipment and systems. The analysis presented demonstrates the advantages of using the latest technologies and IT strategies when planning the growth of new HPC installations at an enterprise level. The data also indicates an efficient design can significantly reduce the space, power, and cooling requirements of the HPC deployment while maintaining the performance and reliability criteria.

scholarly journals Punishment Strategies across Societies: Conventional Wisdoms Reconsidered

Games ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 63
Author(s):  
Ramzi Suleiman ◽  
Yuval Samid
Keyword(s):  
Public Goods ◽  
Strong Predictor ◽  
Social Environments ◽  
Public Goods Game ◽  
The Public ◽  
Free Riders ◽  
The World ◽  
Emergence Of Cooperation ◽  
Using Data ◽  
The Cost

Experiments using the public goods game have repeatedly shown that in cooperative social environments, punishment makes cooperation flourish, and withholding punishment makes cooperation collapse. In less cooperative social environments, where antisocial punishment has been detected, punishment was detrimental to cooperation. The success of punishment in enhancing cooperation was explained as deterrence of free riders by cooperative strong reciprocators, who were willing to pay the cost of punishing them, whereas in environments in which punishment diminished cooperation, antisocial punishment was explained as revenge by low cooperators against high cooperators suspected of punishing them in previous rounds. The present paper reconsiders the generality of both explanations. Using data from a public goods experiment with punishment, conducted by the authors on Israeli subjects (Study 1), and from a study published in Science using sixteen participant pools from cities around the world (Study 2), we found that: 1. The effect of punishment on the emergence of cooperation was mainly due to contributors increasing their cooperation, rather than from free riders being deterred. 2. Participants adhered to different contribution and punishment strategies. Some cooperated and did not punish (‘cooperators’); others cooperated and punished free riders (‘strong reciprocators’); a third subgroup punished upward and downward relative to their own contribution (‘norm-keepers’); and a small sub-group punished only cooperators (‘antisocial punishers’). 3. Clear societal differences emerged in the mix of the four participant types, with high-contributing pools characterized by higher ratios of ‘strong reciprocators’, and ‘cooperators’, and low-contributing pools characterized by a higher ratio of ‘norm keepers’. 4. The fraction of ‘strong reciprocators’ out of the total punishers emerged as a strong predictor of the groups’ level of cooperation and success in providing the public goods.

scholarly journals Electoral Incentives and the Allocation of Public Funds

2020 ◽  
Author(s):  
Frederico Finan ◽  
Maurizio Mazzocco
Keyword(s):  
Electoral System ◽  
Policy Reforms ◽  
Public Funds ◽  
Term Limit ◽  
The Public ◽  
Public Projects ◽  
Electoral Incentives ◽  
Using Data ◽  
The One ◽  
The Cost

Abstract Politicians allocate public resources in ways that maximize political gains, and potentially at the cost of lower welfare. In this paper, we quantify these welfare costs in the context of Brazil’s federal legislature, which grants its members a budget to fund public projects within their states. Using data from the state of Roraima, we estimate a model of politicians’ allocation decisions and find that 26.8% of the public funds allocated by legislators are distorted relative to a social planner’s allocation. We then use the model to simulate three potential policy reforms to the electoral system: the adoption of approval voting, imposing a one-term limit, and redistricting. We find that a one-term limit and redistricting are both effective at reducing distortions. The one-term limit policy, however, increases corruption, which makes it a welfare-reducing policy.

scholarly journals Analysis of Effects of Service Quality and Loyalty on Interest Rates of Basketball Athletes in Sahabat Basketball Club Yogyakarta

2020 ◽  
Vol 11 (2) ◽  
pp. 151-160
Author(s):  
Kukuh Hardopo Putro ◽  
Mohd Salleh Aman ◽  
Keyword(s):  
Interest Rates ◽  
Random Sampling ◽  
External Factors ◽  
Major Influence ◽  
Qualitative And Quantitative ◽  
Analysis Techniques ◽  
Using Data ◽  
Internal And External Factors ◽  
The Cost ◽  
Customer Trust

AbstractIn business, especially basketball experience an increased very rapidly, both in terms of quality and quantity in Yogyakarta. Customer as the facilities and services the user pays the cost, much influenced by several internal and external factors. These factors have a major influence on the process of the customer to pay a fee to join and dues in Basketball Clubs. This type of research is descriptive with mixed qualitative and quantitative approach, population in this study is the Athlete Club Basketball “Sahabat” of Yogyakarta, with the number of 20 people, the study sample was determined by random sampling. The technique of collecting data using questionnaires. SPSS.21 using data analysis techniques. While looking at the level of loyalty of respondents to the basketball club Yogyakarta “Sahabat”, 13 of 20 respondents said well (65%) and 7 respondents (35%) had middle loyalty. So from this study showed that customer trust is strongly influenced by the good facilities, appropriate tariffs, staff were nice, the service was very good, and therefore in this study obtained very significant results to customer satisfaction or athletes in the Club Basketball “Sahabat” of Yogyakarta.

scholarly journals Pathways to Higher Education for Native Hawaiian Individual Development Account Participants

2013 ◽  
Vol 4 (4) ◽  
Author(s):  
David W. Rothwell
Keyword(s):  
Higher Education ◽  
Indigenous Peoples ◽  
Native Hawaiians ◽  
Individual Development ◽  
Welfare Receipt ◽  
Net Worth ◽  
Asset Holding ◽  
History Of ◽  
Using Data ◽  
The Cost

As the cost of higher education rises, a growing body of theory and research suggests that asset holding in the form of savings and net worth positively influence education expectations and outcomes. Native Hawaiians, like other Indigenous peoples, have disproportionately low college enrollment and graduation rates tied to a history of colonization. Using data from an Individual Development Account (IDA) program for Native Hawaiians, I examine the trajectories through the program and find: (a) welfare receipt and unemployment reduces the chances of IDA enrollment; (b) net worth increases the probability of IDA graduation; and (c) IDA graduates were more likely to gain a college degree over time compared to non-graduates. The study provides empirical evidence to the debate on asset-based interventions for Indigenous peoples.

scholarly journals A two-phase solution approach for a manufacturing-distribution problem with rework, outsourcing, and multi-shipment policy

2020 ◽  
Vol 18 (4) ◽  
pp. 505-509
Author(s):  
Chiu Peter ◽  
Peng-Cheng Sung ◽  
Victoria Chiu
Keyword(s):  
Cost Minimization ◽  
Algebraic Approach ◽  
Solution Procedure ◽  
Batch Size ◽  
Real Problem ◽  
Two Phase ◽  
Solution Approach ◽  
Straightforward Solution ◽  
The Cost ◽  
Phase Solution

In a recent study, a manufacturing batch-size and end-product shipment problem with outsourcing, multi-shipment, and rework was investigated using mathematical modeling and derivatives in its solution procedure. This study demonstrates that a simplified two-phase algebraic approach can also solve the problem and decide the cost-minimization policies for batch-size and end-product shipments. Our proposed straightforward solution approach enables the practitioners in the production planning and controlling filed to comprehend and efficiently solve the best replenishing batch-size and shipment policies of this real problem.

scholarly journals A Novel Data-driven Methodology for Influenza Outbreak Detection and Prediction

2020 ◽  
Author(s):  
Lin Du ◽  
Yan Pang
Keyword(s):  
Model Performance ◽  
Resource Planning ◽  
Data Driven ◽  
Outbreak Detection ◽  
Severe Illness ◽  
Prescription Data ◽  
Influenza Outbreak ◽  
Real World Evidence ◽  
Efficient Resource ◽  
Influenza Outbreaks

Abstract Influenza is an infectious disease that leads to an estimated 5 million severe illness cases and 650,000 respiratory deaths worldwide each year. Early detection and prediction of influenza outbreaks are crucial to efficient resource planning to save patients’ lives and healthcare costs. This paper proposes a novel data-driven methodology for influenza outbreaks detection and prediction. The doctor’s diagnosis-based prescription dataset of Influenza-Like Illness (ILI) from more than 3,000 clinics in Malaysia is used in this study because the prescription data are reliable and can be captured timely. A new Region Index (RI) of the influenza outbreak is proposed based on the prescription dataset. With the newly proposed RI metric, statistical and machine learning models are developed to detect and predict influenza outbreaks. Cross-validation is conducted to evaluate the prediction model performance. The proposed methods are also validated by real-world evidence. It is proved to be sensitive and accurate in influenza outbreak prediction with 80-90% accuracy, 70-80% recall, and 70-80% precision scores.

scholarly journals Education human resources planning in developing excellent Madrasah in Madrasah Aliyah (MA) Darul Hikmah Tulungagung Indonesia

2021 ◽  
Vol 21 ◽  
pp. 266-274
Author(s):  
Ma'rifatul Hidayah ◽  
Mujamil Qomar ◽  
Sulistyorini Sulistyorini ◽  
Agus Eko Sujianto ◽  
Imam Turmudzi
Keyword(s):  
Human Resources ◽  
Human Resource ◽  
Social Life ◽  
Formal Education ◽  
Participant Observation ◽  
Educational Institution ◽  
Resource Planning ◽  
Analysis Model ◽  
Human Resource Planning ◽  
Using Data

This research is motivated by quality human resource planning that can be created through Madrasah educational institutions as formal education providers.  Madrasah gains the public's trust in preparing and delivering the nation's generation of children to be able to compete in global competitions whose impact is increasingly being felt in social life.  Educational human resource planning is the most important element in every educational institution, the success of the institution in achieving its goals and various targets as well as its ability to face various challenges, both internal and external, is largely determined by the ability to manage human resources as precisely as possible.  This proves that Madrasahs need human resource management in the field of education, with their managerial and operational functions, and supported by competent educators and education staff, so Madrasahh will have the power to grow, be productive, and competitive. The approach in this research is qualitative. Data collection techniques using in-depth interviews, participant observation, and documentation. Data analysis techniques using data condensation, data presentation, and drawing conclusions or verification. Checking the validity of the data by using triangulation methods, data sources, and theories. The findings of this study indicate that education human resource planning in developing superior Madrasah has carried out internal and external analysis with a needs analysis model, recruitment system, and selection system based on Khidmah.

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