scholarly journals Optimizing the Environmental and Economic Sustainability of Remote Community Infrastructure

2020 ◽  
Vol 12 (6) ◽  
pp. 2208 ◽  
Author(s):  
Jamie E. Filer ◽  
Justin D. Delorit ◽  
Andrew J. Hoisington ◽  
Steven J. Schuldt
Keyword(s):  
Environmental Impacts ◽  
Sustainability Assessment ◽  
Model Performance ◽  
Assessment Model ◽  
Remote Communities ◽  
Remote Community ◽  
Rural Villages ◽  
Sustainable Technologies ◽  
Study Results

Remote communities such as rural villages, post-disaster housing camps, and military forward operating bases are often located in remote and hostile areas with limited or no access to established infrastructure grids. Operating these communities with conventional assets requires constant resupply, which yields a significant logistical burden, creates negative environmental impacts, and increases costs. For example, a 2000-member isolated village in northern Canada relying on diesel generators required 8.6 million USD of fuel per year and emitted 8500 tons of carbon dioxide. Remote community planners can mitigate these negative impacts by selecting sustainable technologies that minimize resource consumption and emissions. However, the alternatives often come at a higher procurement cost and mobilization requirement. To assist planners with this challenging task, this paper presents the development of a novel infrastructure sustainability assessment model capable of generating optimal tradeoffs between minimizing environmental impacts and minimizing life-cycle costs over the community’s anticipated lifespan. Model performance was evaluated using a case study of a hypothetical 500-person remote military base with 864 feasible infrastructure portfolios and 48 procedural portfolios. The case study results demonstrated the model’s novel capability to assist planners in identifying optimal combinations of infrastructure alternatives that minimize negative sustainability impacts, leading to remote communities that are more self-sufficient with reduced emissions and costs.

scholarly journals Quantifying the Environmental and Economic Performance of Remote Communities

2019 ◽  
Vol 8 (4) ◽  
pp. 176 ◽  
Author(s):  
Jamie Filer ◽  
Steven Schuldt
Keyword(s):  
Management Practices ◽  
Sustainability Assessment ◽  
Assessment Model ◽  
Remote Site ◽  
Construction Costs ◽  
Remote Communities ◽  
Renewable Energy Systems ◽  
Proposed Model ◽  
Waste Management Practices ◽  
Post Disaster

Remote communities such as oil production sites, post-disaster housing camps, and military forwardoperating bases (FOB) are often detached from established infrastructure grids, requiring a constantresupply of resources. In one instance, a 600-person FOB required 22 trucks per day to delivernecessary fuel and water and remove generated wastes. This logistical burden produces negativeenvironmental impacts and increases operational costs. To minimize these consequences,construction planners can implement sustainability measures such as renewable energy systems,improved waste management practices, and energy-efficient equipment. However, integration ofsuch upgrades can increase construction costs, presenting the need for a tool that identifies tradeoffsamong conflicting criteria. To assist planners in these efforts, this paper presents the development ofa novel remote site sustainability assessment model capable of quantifying the environmental andeconomic performance of a set of infrastructure alternatives. Through field data and literatureestimates, a hypothetical FOB is designed and evaluated to demonstrate the model’s distinctivecapability to accurately and efficiently assess construction alternatives. The proposed model willenable construction planners to maximize the sustainability of remote communities, creating sitesthat are more self-sufficient with reduced environmental impacts.Keywords: Sustainability, infrastructure, remote communities

An Integrated Methodology for Evaluation of Electric Vehicles Under Sustainable Automotive Environment

2019 ◽  
pp. 41-62 ◽  
Author(s):  
Tapas Kumar Biswas ◽  
Željko Stević ◽  
Prasenjit Chatterjee ◽  
Morteza Yazdani
Keyword(s):  
Electric Vehicles ◽  
Sustainability Assessment ◽  
Model Performance ◽  
Compromise Solution ◽  
Holistic Model ◽  
Proposed Model ◽  
Criteria Importance ◽  
Assessment Problems ◽  
Selection Of

In this chapter, a holistic model based on a newly developed combined compromise solution (CoCoSo) and criteria importance through intercriteria correlation (CRITIC) method for selection of battery-operated electric vehicles (BEVs) has been propounded. A sensitivity analysis has been performed to verify the robustness of the proposed model. Performance of the proposed model has also been compared with some of the popular MCDM methods. It is observed that the model has the competency of precisely ranking the BEV alternatives for the considered case study and can be applied to other sustainability assessment problems.

Assessment model of lean effect (AMLE)

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samah Elrhanimi ◽  
Laila EL Abbadi
Keyword(s):  
Lean Manufacturing ◽  
Scoring Rules ◽  
Assessment Model ◽  
Global Reporting Initiative ◽  
Performance Measurements ◽  
Content Type ◽  
Iso 26000 ◽  
Study Results ◽  
Global Performance

PurposeThe purpose of this paper is to present the “Assessment Model of Lean Effect” (AMLE), a theoretical model that measures Lean manufacturing implementation effect over the global performance of a company.Design/methodology/approachAMLE model is divided in two criteria types: the “Facilitators criteria” and the “Results criteria”. “Results criteria” are inspired from the European Foundation for Quality Management (EFQM), Global Reporting Initiative (GRI) and ISO 26000. The “Facilitators criteria” are based on the main philosophy of the Lean manufacturing, which is the total elimination of all types of waste. The development of the scoring scale was based on the results, approach, deployment, assessment and review (RADAR) philosophy and the experience of nine consultants from the automotive field; the choice of the consultants was based on three conditions. Furthermore, each consultant has his\her own weight according to its expertise. Lastly, the AMLE was validated via a case study set in an automotive industry company called FEBA. The validation process is divided in two different steps: the first step is related to Facilitators assessment and scoring; via the evaluation of the different projects implemented by FEBA to eliminate the different types of waste. The second step concerns Results assessment and scoring, via the evaluation of the performance measurements used by FEBA to assess the effect of the Facilitators' implementation.FindingsThe developed model (AMLE) enabled the Lean manufacturing effect assessment on the global performance of a firm from the automotive field. The case study results reveal that the aforementioned firm does not give priority to social measurements. Consequently, the performance of the firm was negatively impacted.Research limitations/implicationsThe criteria of AMLE are inspired from the definition of the Lean manufacturing given by Taiichi Ohno, from ISO 26000 and from GRI; meaning that these criteria could be adjusted if other references existed or developed. In addition, the scoring rules are established according to the experience of a limited number of consultants from the automotive field. The scoring rules establishment would lead to meaningful outcomes, if the number of participants was increased. During the assessment of the global performance, the perception of the auditor plays an important role in terms of scoring because the scoring rules allow the possibility to the auditor to give from the minimum to the maximum of the score, according to his perception and experience. For the case study, the validation of the developed model requires starting with the “Facilitators” implementation process and then measure the generated global performance. However, due to time constraints and limited opportunities for new projects, the validation was based only on existing projects managed by the firm. To address the study limitations, it is envisaged to detail and explain the scoring rules while extending the number of consultants. Furthermore, the assessment of Lean manufacturing global performance through the AMLE model may be subjective and requires a mathematical modeling. In fact, the Lean manufacturing performance assessment via the developed model could have a degree of subjectivity; that is why the design of a mathematical model seems required.Practical implicationsThe research findings may direct practitioners and decision makers to the importance of assessing the global effect of the Lean manufacturing on the overall performance of the firm. The AMLE model is a tool allowing the assessment of Lean manufacturing effect over economic, environmental and social performances.Originality/valueThe developed model is the first one assessing the global performance generated by the elimination of waste via the application of the Lean manufacturing.

scholarly journals Safe-economical route model of a ship to avoid tropical cyclones using dynamic forecast environment

2014 ◽  
Vol 2 (8) ◽  
pp. 4907-4945
Author(s):  
L. Wu ◽  
Y. Wen ◽  
D. Wu ◽  
J. Zhang ◽  
C. Xiao
Keyword(s):  
Tropical Cyclones ◽  
Numerical Models ◽  
Economic Cost ◽  
Assessment Model ◽  
Proposed Model ◽  
Study Results ◽  
Capsizing Probability ◽  
Dynamic Forecasting ◽  
Forecasting Errors

Abstract. In heavy sea conditions related to tropical cyclones (TCs), losses to shipping caused by capsizing are greater than other kinds of accidents. Therefore, it is important to consider capsizing risk in the algorithms used to generate safe-economic routes that avoid tropical cyclones (RATC). A safe-economic routing and assessment model for RATC, based on a dynamic forecasting environment, is presented in this paper. In the proposed model, a ship's risk is quantified using its capsizing probability caused by heavy wave conditions. Forecasting errors in the numerical models are considered in the ship risk assessment according to their distribution characteristics. A case study shows that: the economic cost of RATCs is associated not only to the ship's speed, but also to the acceptable capsizing probability which is related with the ship's characteristic and the cargo loading condition. Case study results demonstrate that the optimal routes obtained from the model proposed in this paper are superior to those produced by traditional methods.

scholarly journals Safe-economical route and its assessment model of a ship to avoid tropical cyclones using dynamic forecast environment

2013 ◽  
Vol 1 (3) ◽  
pp. 1857-1893
Author(s):  
L. C. Wu ◽  
Y. Q. Wen ◽  
D. Y. Wu
Keyword(s):  
Tropical Cyclones ◽  
Numerical Models ◽  
Economic Cost ◽  
Assessment Model ◽  
Risk Level ◽  
Proposed Model ◽  
Study Results ◽  
Capsizing Probability ◽  
Forecasting Errors

Abstract. In heavy sea conditions related to tropical cyclones (TCs), losses to shipping caused by capsizing are greater than other kinds of accidents. Therefore, it is important to consider capsizing risk in the algorithms used to generate safe-economic routes that avoid tropical cyclones (RATC). A safe-economic routing and assessment model for RATC, based on a dynamic forecasting environment, is presented in this paper. In the proposed model, a ship's risk is quantified using its capsizing probability caused by heavy wave conditions. Forecasting errors in the numerical models are considered according to their distribution characteristics. A case study shows that: the economic cost of RATCs is associated not only to the ship's speed and the acceptable risk level, but also to the ship's wind and wave resistance. Case study results demonstrate that the optimal routes obtained from the model proposed in this paper are significantly superior to those produced by traditional methods.

scholarly journals Remanufacturing Aided Upgrading of Universal Testing Machine through Sustainability Assessment Modeling

2020 ◽  
pp. 49-84
Author(s):  
Ziyad Tariq Abdullah
Keyword(s):  
Structural Analysis ◽  
Data Acquisition ◽  
Sustainability Assessment ◽  
Testing Machine ◽  
Load Cell ◽  
Assessment Model ◽  
Universal Testing Machine ◽  
Universal Testing ◽  
Analog Display

Aims: Study sustainability of Remanufacturing Aided Upgrading of Universal Testing Machine Business. Study Design: Sustainability assessment criteria are elicited, unified, normalized and weighted to find the mean global weights of economic, environmental, social, management and technical measures of sustainability. Place and Duration of Study: Middle Technical University, Institute of Technology-Baghdad, Mechanical Techniques Department, between January 2020 and August 2020. Methodology: Remanufacturing Aided Upgrading experience is used to project the suitable literature comparatively to construct sustainability assessment model. Remanufacturing Aided Upgrading are reviewed and modified to accommodate new changes that accompany the current case study. Decision making for selection of remanufactured alternatives and remanufacturing alternative in field of machine tools remanufacturing is reviewed. Experience in field of machine tool remanufacturing is exploited to remodeling of existence models to optimize a remanufactured lathe into CNC machine case study. Results: Remanufacturing Aided Upgrading of Universal Testing Machine can encounter four phases of upgradability so that Universal Testing Machine can be divided into: 1- Analog Display Universal Testing Machine 2- Digital Display Universal Testing Machine 3- Computer Display Universal Testing Machine 4- Electro-Hydraulic Servo Control Universal Testing Machine Such classification cannot fulfill structural analysis to study sustainability through prospective of remanufacturing added upgradability so structural analysis is required to be applied. Structural analysis can show that mechanical structure and hydraulic sub-systems are developing slightly through these four phases so they are remanufacturing oriented while control and data acquisition system encounters dramatically changes so that Universal Testing Machines are classified based on their specifications in control and data acquisition. According to Remanufacturing Aided Upgrading based sustainability prospective, Universal Testing Machine components can be classified into :- 1- Remanufacturing Aided Upgrading based design components 2- Remanufacturing based design components 3- Upgrading based design components 4- General purposes based design components Assessment matrices are of consistent weights with an error due to ambiguity, inexactness subjectivity, impreciseness and vagueness to an extent in some joints of the problem statement which requires future research. Conclusion: Literature based analysis and experience based analysis can be used to develop alternatives based analysis to elicit potentials to apply Remanufacturing Aided Upgrading of Universal Testing Machine to develop sustainable business. Technically, remanufacturing is the viable to be followed by economic and environment viabilities. There is a need to enhance the social and management viabilities because they are low. Assessment based classification lead to that Universal Testing Machine can be divided into: 1- Remanufacturing based Design Components which include Upper Cross Head, Moveable Cross Head, Lead Screws, Driving Sub-system, Upper Cross Head and Table Alignment Columns, Table, Machine Base Foundation, Hydraulic Cylinder and Hydraulic Pump. 2- Remanufacturing Aided Upgrading based Design components which include Load Control Valve, hydraulic oil returning valve and Pump Electrical Motor. 3- Upgrading based Design components which include Analog Display, Pendulum Load Cell, Elongation Translation Mechanism, Pressure Sensor, Load Cell, Encoder, Extensometer, Data Acquisition Card, Data Acquisition-Control Card, Computer Display Data Acquisition Software and Computer Display Data Acquisition-Control Software. 4- General purposes based design components which include piping system, Upper Cross Head Grips and Moveable Cross Head Grip.

scholarly journals Diskriminasi Pendidikan Masyarakat Terpencil

2019 ◽  
Vol 6 (1) ◽  
pp. 33-43
Author(s):  
Firdaus Firdaus ◽  
Sulfasyah Sulfasyah ◽  
Hanis Nur
Keyword(s):  
Qualitative Research ◽  
Learning Process ◽  
Community Education ◽  
Remote Communities ◽  
Remote Community ◽  
Remote Areas ◽  
Surrounding Environment ◽  
The Government

The research entitled "Discrimination in remote community education (Case study of Buntu Mondong village in Buntu Batu District, Enrekang District" aims to determine the existence of education discrimination in remote communities in Buntu Mondong village, Buntu Batu District, Enrekang District, with qualitative research methods. This research was conducted by observing the condition of the school which includes the condition of students, teachers and infrastructure as well as the conditions in the surrounding environment which also influence the quality of education.The data has been collected, then analyzed descriptively.The results of the study illustrate the occurrence of educational discrimination in the Gura SDN NO. educators and infrastructure facilities that cause education in the area to be not optimal.The available educators lack excellence in midwives and have low quality so that what is given to their students is also mediocre. a Less quality educator, Infrastructure that supports the learning process teaches very little, so the learning process often experiences obstacles. By that, especially for the government and education implementers should increase attention to education in remote areas, especially in SDN NO 79 Gura. Keywords: Discrimination, Education, Remote Communities

scholarly journals Application of a Sustainability Model for Assessing the Relocation of a Container Terminal: A Case Study of Kristiansand Port

2018 ◽  
Vol 11 (1) ◽  
pp. 87 ◽  
Author(s):  
Mariia Dushenko ◽  
Clemet Thærie Bjorbæk ◽  
Kenn Steger-Jensen
Keyword(s):  
Sustainable Development ◽  
Urban Areas ◽  
Sustainability Assessment ◽  
Container Terminal ◽  
Development Project ◽  
Decision Makers ◽  
Assessment Model ◽  
Infrastructure Investment ◽  
Model Framework

Sustainable development, a new interdisciplinary paradigm, is attracting increasing attention from the global research community. It is an enhancement of sustainability principles. This study documents the findings from applying a sustainability assessment model framework by Koo and Ariaratnam (2008) for decision support in connection with the projection of major infrastructure investment in a port. The objective of this study is to support the decision-making process in a port development project and to verify the applicability of sustainability assessment using a sustainability assessment model for a terminal development project in an urban area of Scandinavia. The sustainability assessment model is based on the Analytic Hierarchy Process (AHP). A literature review of sustainability assessment models was conducted to find indicators for the AHP approach. Subsequently, a questionnaire was compiled and six decision-makers for projects in Scandinavian Ports in urban areas were selected for the case study. The hypothesis is that decision-makers of major infrastructure investment projects in publicly owned ports must adhere to sustainable development principles and support the United Nations sustainable development goals that are a call for action by all countries. When documenting a sustainable design of port projects, decision-makers use theoretical sustainability models to conceptualize features of a sustainable society. However, a major challenge for the decision-makers was that the sustainability assessment results did not show, as expected, the same results as those of three existing theoretical sustainability models. The results of the sustainability assessment model were scrutinised and benchmarked against existing theoretical sustainability models, namely: a sustainability stool, a 3-overlappingcircles model, and a 3-nesteddependencies model. The benchmark results indicate a disparity between the importance of what sustainability models describe and what is important in practice.

scholarly journals LCA of Glass Versus PET Mineral Water Bottles: An Italian Case Study

Recycling ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 50
Author(s):  
Carmen Ferrara ◽  
Giovanni De Feo ◽  
Vincenza Picone
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impacts ◽  
Mineral Water ◽  
Sustainability Assessment ◽  
Impact Category ◽  
Life Cycle Thinking ◽  
Pet Bottles ◽  
The Impact

Due to the serious problem of plastic pollution in aquatic environment, many people reject plastic packaging in favour of glass containers which are considered more sustainable. To avoid misjudgements, the sustainability assessment of packaging alternatives should be carried out with a life cycle thinking approach. In this regard, the study presents a comparative Life Cycle Assessment (LCA) of two alternative packaging systems for drinking water: reusable glass bottles and polyethylene (PET) bottles. The case study was performed considering the real data of an Italian mineral water company that bottles and distributes both natural and sparkling water. The environmental impacts of the two packaging systems were estimated with the ReCiPe 2016 (H) evaluation method adopting both midpoint and endpoint approaches. The results showed that the PET bottle is the most sustainable alternative for natural water for many impact categories; while, in the case of sparkling water, the environmental impacts of the two packaging systems are similar and the most environmentally sound solution can vary depending on the impact category. The following are the most significant aspects of the analysis: (1) the number of reuses of a single glass bottle; (2) the distribution distance. Their variation can determine which packaging is the most sustainable. Therefore, a life cycle assessment approach is needed for each specific case.

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