scholarly journals Measuring Self-Reliance in Refugee Camps

2021 ◽  
Author(s):  
Anna-Mara Schön ◽  
Celina Borchert ◽  
Luisa Kunst
Keyword(s):  
Case Studies ◽  
Performance Indicator ◽  
Refugee Camps ◽  
Self Reliance ◽  
Initial Hypothesis

The concept of "self-reliance" is widespread, but only recently there have been initiatives that not only use the term “self-reliance”, but also try to measure it – rather for refugees outside than in refugee camps, though. Thus, the “Camp Performance Indicator (CPI) system” was developed and applied to different case studies. This paper examines the level of self-reliance for camps in Jordan (Zaatari camp and Azraq camp) and Kenya (Dadaab Complex), but also for refugee settlements in Uganda (Nakivale and Bidibidi) and simultaneously tests the CPI, a tool consisting of 109 indicators. Applying the CPI revealed that the level of self-reliance is generally low in the five camps and settlements studied, backing up our initial hypothesis.

A Socio-economic Perspective on the Urbanisation of Zaatari Camp in Jordan

2015 ◽  
Vol 12 (3) ◽  
pp. 263-278 ◽  
Author(s):  
Ayham Dalal
Keyword(s):  
Financial Aid ◽  
Humanitarian Aid ◽  
Refugee Camps ◽  
Economic Perspective ◽  
Social Spaces ◽  
Economic Dynamics ◽  
Self Reliance ◽  
Durable Solutions

Camps are temporal spaces where refugees are provided with humanitarian aid until durable solutions are made possible. During this period of ‘endless waiting’, these camps are planned to be economically self-contained. However, through time, refugee camps tend to urbanise: their initial empty spaces transform into vibrant markets, habitats and social spaces. In response to this ‘unexpected’ - and sometimes ‘unwanted’ - process, the economically self-contained system of camps breaks. This paper looks into the emerging socio-economic dynamics in Zaatari camp in Jordan, on the light of its urbanisation process and the Jordanian economy. It first explains the how humanitarian aid is provided, and then shows how and why, refugees use it to diversify the economy of the camp. The findings of this paper are then articulated on the existing policies to reduce the financial aid such as ‘self-reliance’ and ‘development’.

Stochastic approach for performance evaluation regarding water distribution systems

2007 ◽  
Vol 56 (9) ◽  
pp. 29-36 ◽  
Author(s):  
M. Möderl ◽  
T. Fetz ◽  
W. Rauch
Keyword(s):  
Performance Evaluation ◽  
Case Studies ◽  
Distribution Systems ◽  
Water Distribution ◽  
Performance Indicator ◽  
Water Distribution Systems ◽  
Stochastic Approach ◽  
Cumulative Distribution ◽  
Design System ◽  
The Impact

A traditional procedure for performance evaluation of systems is to test approaches on one or more case studies. However, it is well known that the investigation of real case studies is a tedious task. Moreover, due to the limited amount of case studies available it is not certain that all aspects of a problem can be covered in such procedure. With increasing computer power an alternative methodology has emerged, that is the investigation of a multitude of virtual case studies by means of a stochastic consideration of the overall performance. Within the frame of this approach we develop here a modular design system (MDS) for water distribution systems (WDSs). With the algorithmic application of such a MDS it is possible to create a variety of different WDSs. As an example of stochastic performance evaluation the impact of pipe breakages on WDSs is estimated applying a pressure driven performance indicator. This performance indicator is evaluated stochastically. Likewise the performance evaluation of a variety of WDSs is also performed stochastically. Cumulative distribution function, histogram and other statistical properties of 2,280×1,000 performance results of the different WDSs are calculated to highlight the applicability of the introduced stochastic approach.

A new framework to support Lean Six Sigma deployment in SMEs

2019 ◽  
Vol 10 (1) ◽  
pp. 58-80 ◽  
Author(s):  
Carlos Abraham Moya ◽  
Daniel Galvez ◽  
Laurent Muller ◽  
Mauricio Camargo
Keyword(s):  
Case Studies ◽  
Six Sigma ◽  
Success Factors ◽  
Performance Indicator ◽  
Lean Six Sigma ◽  
Organizational Capabilities ◽  
Successful Implementation ◽  
Manufacturing Companies ◽  
Content Type ◽  
Readiness Level

Purpose The purpose of this paper is to propose an assessment approach to evaluate the organizational capabilities to deploy a Lean Six Sigma (LSS) strategy. Design/methodology/approach Based on a comprehensive literature review, critical success factors required to deploy LSS were defined. These key factors are evaluated by a questionnaire based on maturity grids and structured as a multi-criteria model to compute a potential LSS performance indicator. This approach is illustrated through two case studies. Findings To promote a successful implementation of LSS in SMEs, it is necessary to consider five main critical factors. The evaluation of these factors could be achieved thanks to a multi-criterion-based maturity indicator for the LSS implementation. The case studies show that this approach allows SMEs to understand their strengths and weaknesses and thus better prepare the implementation of LSS. Research limitations/implications The proposed tool identifies characteristics of companies leading to successful LSS implementation; but is not yet able to provide a detailed strategy to improve them. The case studies were applied to manufacturing companies; therefore, there is no evidence of conclusions in the context of services. Practical implications The proposed methodology will help managers and practitioners to evaluate the readiness level of a company to implement LSS. Then, they could estimate the effort required to achieve the LSS deployment. Originality/value This paper proposes a new metric of the capacity to implement the LSS successfully in SMEs: the Lean Six Sigma Global Index. This indicator is based on a survey completed by managers and supported by observable phenomena to establish a tailored diagnosis before the LSS implementation.

scholarly journals Globalization and Multipliers in the Pacific Alliance Countries: Cases of Peru, Chile and Colombia

2018 ◽  
Vol 2 (1) ◽  
pp. 53
Author(s):  
Jorge Torres-Zorrilla
Keyword(s):  
Case Studies ◽  
Inverse Relationship ◽  
Emerging Countries ◽  
Input Output ◽  
The Pacific ◽  
Initial Hypothesis ◽  
The Relationship ◽  
Statistical Results

<p>Primary objectives of this work are to discuss the relationship between the level of globalization, the tendencies of import coefficients, and the value of income multipliers in emerging countries in general. The analysis is made via three case studies from The Pacific Alliance countries: Colombia, Peru, and Chile. Statistical results confirm our initial hypothesis of an inverse relationship between globalization and the value of income multipliers. The methodology for calculation of income multipliers is based on the input-output tables of each country for the corresponding years of the analysis.</p>

scholarly journals Process Variable Importance Analysis by Use of Random Forests in a Shapley Regression Framework

Minerals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 420
Author(s):  
Chris Aldrich
Keyword(s):  
Random Forest ◽  
Case Studies ◽  
Random Forests ◽  
Performance Indicator ◽  
Variable Importance ◽  
Predictor Variables ◽  
Importance Measure ◽  
Variable Importance Measure ◽  
Operational Variables ◽  
Variable Importance Measures

Linear regression is often used as a diagnostic tool to understand the relative contributions of operational variables to some key performance indicator or response variable. However, owing to the nature of plant operations, predictor variables tend to be correlated, often highly so, and this can lead to significant complications in assessing the importance of these variables. Shapley regression is seen as the only axiomatic approach to deal with this problem but has almost exclusively been used with linear models to date. In this paper, the approach is extended to random forests, and the results are compared with some of the empirical variable importance measures widely used with these models, i.e., permutation and Gini variable importance measures. Four case studies are considered, of which two are based on simulated data and two on real world data from the mineral process industries. These case studies suggest that the random forest Shapley variable importance measure may be a more reliable indicator of the influence of predictor variables than the other measures that were considered. Moreover, the results obtained with the Gini variable importance measure was as reliable or better than that obtained with the permutation measure of the random forest.

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