scholarly journals OWNER PREFERENCES REGARDING RENOVATION MEASURES – THE DEMONSTRATION OF USING MULTI-CRITERIA DECISION MAKING / SAVININKŲ TEIKIAMI PRIORITETAI PASTATŲ ATNAUJINIMO PRIEMONĖMS: DAUGIAKRITERINIŲ SPRENDIMO PRIĖMIMO METODŲ TAIKYMO PAVYZDYS

2011 ◽  
Vol 17 (2) ◽  
pp. 284-295 ◽  
Author(s):  
Milena Medineckienė ◽  
Folke Björk
Keyword(s):  
Decision Making ◽  
Heat Recovery ◽  
District Heating ◽  
Payback Period ◽  
Multi Criteria Decision Making ◽  
Residential Areas ◽  
Apartment Buildings ◽  
Exponential Weighting ◽  
Investment Cost ◽  
Simple Additive Weighting

The article describes typical apartment buildings built in Swedish residential areas in the ‘50s, ‘60s and 70's. Each of these buildings included calculations on the effects and investment cost of a number of renovation measures aimed at improving energy efficiency. By applying multi-criteria decision making methods Simple Additive Weighting (SAW), Multiplicative Exponential Weighting (MEW) and Complex Proportion Assessment (COPRAS), the preferences of building owners regarding renovation measures were studied. The study highlighted four important criteria, including the use of energy from district heating and electricity, investment cost and payback period. The owner preferences were found to have a major impact on the outcome of the study. These owners gave sufficient weight to renovation measures within a short payback period. Renovation actions falling out to be quite attractive are additional thermal insulation in the attic and heat recovery from exhaust air. Santrauka Straipsnyje išnagrinėti trys tipiniai švedų daugiabučiai, pastatyti 6-ajame, 7-ajame ir 8-ajame dešimtmečiais. Buvo atlikti kiekvieno šių pastatų atnaujinimo priemonių skaičiavimai, įvertinantys efektyvumą ir investavimo apimtis, kuriomis siekiama didinti energijos vartojimo efektyvumą. Taikant daugiakriterinius sprendimo priemimo metodus, tokius kaip Simple Additive Weighting (SAW), Multiplicative Exponential Weighting (MEW) and COmplex PRoportion Assessment (COPRAS), buvo tiriami savininkų teikiami prioritetai pastatų atnaujinimo priemonėms. Tyrimas buvo atliekamas vertinant keturis pastatų kriterijus: energija, vartojama centralizuotam šildymui, ir elektros energija, investicijų sąnaudos ir atsipirkimo laikotarpis. Atlikus skaičiavimus buvo nustatyta, kad didelę įtaką tyrimo rezultatams daro savininku nuomonė. Šie savininkai daugiausia demesio skyrė trumpam renovacijos priemonių atsipirkimo laikotarpiui. Viena patrauklesnių renovacijos priemonių yra papildoma šilumos izoliacija palėpėje ir šilumos gavimas iš ištraukiamo oro.

scholarly journals Multi-criteria decision-making for flood risk management: a survey of the current state of the art

2016 ◽  
Vol 16 (4) ◽  
pp. 1019-1033 ◽  
Author(s):  
Mariana Madruga de Brito ◽  
Mariele Evers
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Decision Making Process ◽  
Multi Criteria Decision Making ◽  
Wide Range ◽  
Order Preference ◽  
Criteria Weights ◽  
Simple Additive Weighting

Abstract. This paper provides a review of multi-criteria decision-making  (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. A total of 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. A wide range of applications were identified, with most papers focusing on ranking alternatives for flood mitigation, followed by risk, hazard, and vulnerability assessment. The analytical hierarchy process (AHP) was the most popular method, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest in MCDM, uncertainty analysis remains an issue and was seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Therefore, addressing the uncertainties around stakeholders' judgments and endorsing an active participation in all steps of the decision-making process should be explored in future applications. This could help to increase the quality of decisions and the implementation of chosen measures.

scholarly journals Review Article: Multi-criteria decision making for flood risk management: a survey of the current state-of-the-art

2015 ◽  
Vol 3 (11) ◽  
pp. 6689-6726 ◽  
Author(s):  
M. M. de Brito ◽  
M. Evers
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Flood Risk ◽  
Flood Control ◽  
Flood Risk Management ◽  
Multi Criteria Decision Making ◽  
Coping Capacity ◽  
Order Preference ◽  
Criteria Weights ◽  
Simple Additive Weighting

Abstract. This paper provides a review of Multi-Criteria Decision Making (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. Totally, 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed and classified into the following application areas: (1) ranking of alternatives for flood mitigation, (2) reservoir flood control, (3) susceptibility, (4) hazard, (5) vulnerability, (6) risk, (7) coping capacity, and (8) emergency management. Additionally, the articles were categorized based on the publication year, MCDM method, whether they were or were not carried out in a participatory process, and if uncertainty and sensitivity analysis were performed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. The Analytical Hierarchy Process (AHP) was the most popular technique, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest on MCDM, uncertainty analysis remains an issue and is seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Based on the survey, some suggestions for further investigation are provided.

scholarly journals IMPLEMENTASI MULTI CRITERIA DECISION MAKING MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN PROMOSI KENAIKAN JABATAN

2020 ◽  
Vol 12 (1) ◽  
pp. 47
Author(s):  
Eddy Kurniawan ◽  
Achmad Miftakhul Ilmi ◽  
Nufan Balafif
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Distribution Center ◽  
Assessment Process ◽  
Multi Criteria Decision Making ◽  
Weighting Method ◽  
Computer Based ◽  
Simple Additive Weighting ◽  
Alternative Decision ◽  
Employee Data

Telkomsel Distribution Center (TDC) Jombang has problems in promoting employees to fill the Supervisor (SPV) and Branch Manager (BM) positions. TDC Jombang has several assessment criteria for employees to be able to fill SPV and BM positions. But in the assessment process, each criterion still tends to be subjective. In making decisions based on several criteria, a Multi-Criteria Decision Making (MCDM) approach can be used by applying the method that is considered most appropriate to produce the best alternative decision recommendations. This study aims to provide the best solution by implementing the Multi-Criteria Decision Making approach using the SAW (Simple Additive Weighting) method which will be programmed in a computer-based decision support system (SPK). The SAW method was chosen because it can weigh the values on each attribute and rank to get the best alternative recommendations. The data used are Jombang TDC employee data. From this study, it was obtained that the use of the SAW method programmed in the SPK succeeded in presenting information comparing the value of preferences between candidates. Candidates with the highest preference value are the most recommended alternatives to choose

scholarly journals Multi-Criteria Decision-Making for Airport Operation Performance Using Triangular Fuzzy Numbers

2019 ◽  
Vol 3 (3) ◽  
pp. 01-15
Author(s):  
Adeel Ahmad ◽  
Sana Akram ◽  
Muhammad Farhan Tabassum ◽  
Alia Kausar ◽  
Nousheen Ilyas
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Triangular Fuzzy Numbers ◽  
Operation Performance ◽  
Linguistic Form ◽  
Fuzzy Environment ◽  
Simple Additive Weighting

This paper advocates Multi-Criteria Decision-Making (MCDM) which evaluates the operation performance of airports using Fuzzy Simple Additive Weighting (FSAW) method. Assigned weights by decision- makers were in a linguistic form. These linguistic forms were converted into triangular fuzzy numbers. We chose three airports designated as A1, A2 and A3 and examined by four decision makers D1, D2, D3 and D4 under a fuzzy environment for performance against the chosen criteria. FSAW method gives similar decision results which shows that this method is effective, relevant and reliable for this kind of MCDM.

scholarly journals OPTIMISATION OF BUILDING ENERGY SYSTEM TECHNOLOGY CONFIGURATION USING MULTI-CRITERIA DECISION MAKING METHODS / DAUGIAKRITERIŲ METODŲ TAIKYMAS RACIONALIAM PASTATO ENERGETINĖS SISTEMOS TECHNOLOGIJŲ DERINIUI NUSTATYTI

2013 ◽  
Vol 5 (4) ◽  
pp. 410-422 ◽  
Author(s):  
Rasa Džiugaitė-Tumėnienė ◽  
Milena Medineckienė
Keyword(s):  
Decision Making ◽  
Energy Demand ◽  
Energy System ◽  
Building Energy ◽  
Optimal Decision ◽  
Multi Criteria Decision Making ◽  
System Technology ◽  
Exponential Weighting ◽  
Building Energy System

This article presents the evaluation and optimization algorithm of the building energy system. Two main objectives have been achieved: the optimal configuration of the building energy system has been defined, which minimizes the use of non-renewable sources and reduces the environmental impact of the building. Energy demand for the house has been simulated employing DesignBuilder software. Five configurations of technologies for the building energy system have been chosen and simulated applying Polysun software in order to define the seasonal energy efficiency of the generators of each configuration. Multi-criteria decision making methods SAW (Simple Additive Weight), COPRAS (COmplex PRoportion ASsessment) and MEW (Multiplicative Exponential Weighting) have been used for finding the optimal decision on this case study. Article in Lithuanian. Santrauka Pateikiamas mažai energijos vartojančio gyvenamojo namo energetinės sistemos vertinimo ir optimizavimo algoritmas. Šio tyrimo metu, siekiant nustatyti racionalų realiai pritaikomą pastato energetinės sistemos technologijų derinį, įgyvendinti du pagrindiniai tikslai: parinktas derinys, kurį taikant maksimaliai išnaudojami atsinaujinantieji energijos ištekliai ir sumažinamos sistemos išmetamų CO2 dujų emisijos. DesignBuilder kompiuterine programa atliktas energinis modeliavimas pastato energijos reikmėms nustatyti. Esamam gyvenamajam namui parinkti penki energetinės sistemos technologijų deriniai. Atliktas derinių modeliavimas Polysun programa, nustatytas kiekvieno derinio generatoriaus sezoninis energinis efektyvumas. Įvairiapusiškai racionaliam sprendimui priimti buvo taikyti daugiakriterio vertinimo metodai: SAW (Simple Additive Weight), COPRAS (COmplex PRoportion ASsessment) ir MEW (Multiplicative Exponential Weighting).

scholarly journals MULTI-CRITERIA DECISION MAKING METHODS FOR DETERMINING COMPUTER PREFERENCE INDEX

2011 ◽  
Author(s):  
Maznah Mat Kasim ◽  
Haslinda Ibrahim ◽  
Mahmoud S. Bataineh
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Personal Computer ◽  
Multi Criteria Decision Making ◽  
Hard Drive ◽  
Preference Index ◽  
Memory Card ◽  
Wise Decision ◽  
Simple Additive Weighting ◽  
Method Analysis

In helping consumers to make a wise decision in purchasing a personal computer (PC), the use of multi-criteria decision analysis methods is a way to provide ranking of the attributes of PCs and to construct the computer preference index (CPI). This paper employs the Rank Ordered Centroid (ROC) method to do the ranking. The findings reveal that the most important attribute is the CPU, followed by the hard drive, the price, the memory card, the warranty, the size, the screen resolution, the Ethernet, the weight and the DVD. Whilst, the CPI is constructed by using a Multi-Criteria Decision Making (MCDM), called the Simple Additive Weighting (SAW) method. Analysis of data from 25 PCs from four brands, Toshiba, Dell, HP Compaq and Acer, presents the CPI. The resulted CPI shows that two HP Compaq models, Presario V3632 and V3653 are preferred most, while, Acer Aspire 4920-5AA0516MI is the least preferred.  

scholarly journals Evaluating the Organizational Hierarchy Using the IFSAW and TOPSIS Techniques

2021 ◽  
Author(s):  
Mahuya Deb
Keyword(s):  
Decision Making ◽  
Performance Standards ◽  
Performance Evaluations ◽  
Hierarchical Level ◽  
Multi Criteria Decision Making ◽  
Policy Makers ◽  
Intuitionistic Fuzzy ◽  
Simple Additive Weighting ◽  
Evaluation Techniques ◽  
Decision Making Criteria

Performance evaluations in organizations are viewed as ideal instruments for evaluating and rewarding the employee’s performance. While much emphasis is laid onto the administering of the evaluation techniques, not much thought has been laid out on assessing the contributions of each hierarchical level. Moreover the manifold decision making criteria can also impact the measurement of pertinent contributions because of their ambivalent characteristics. In such a scenario, intuitionistic fuzzy multi-criteria decision making can help strategists and policy makers to arrive at more or less accurate decisions. This paper restricts itself to six decision making criteria and adopts the intuitionistic fuzzy simple additive weighting (IFSAW) method and TOPSIS method to evaluate and rank the employee cadres. The results obtained were compared and both the methods revealed that the middle management displayed impeccable performance standards over their other counterparts.

scholarly journals Sistem Pendukung Keputusan Dalam Memetakan Wilayah Risiko Banjir Menggunakan Fuzzy Multi Criteria Decision Making

d'CARTESIAN ◽  
2014 ◽  
Vol 3 (2) ◽  
pp. 24
Author(s):  
Glorya Ontah ◽  
Winsy Weku ◽  
Altien Rindengan
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Weighting Method ◽  
Order Preference ◽  
Simple Additive Weighting

Abstrak Banjir yang melanda di berbagai wilayah Indonesia merupakan suatu fenomena logis karena negara ini berada di daerah tropis dengan intensitas curah hujan yang sangat tinggi. Penelitian bertujuan untuk memetakan daerah berisiko banjir di Kota Manado. Pemetaan wilayah berisiko banjir di Kota Manado memerlukan beberapa pendapat atau masukan dari berbagai pihak. Atribut yang digunakan yaitu kemiringan lahan (%), ketinggian wilayah (%), DAS (km), luas pemukiman/wilayah tutupan lahan (%) dan curah hujan (mm). Penentuan wilayah banjir di Kota Manado menggunakan Fuzzy Multi Criteria Decision Making (MCDM) dengan dua (2) metode yaitu Simple Additive Weighting Method (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Hasil dengan menggunakan metode SAW dan SAW Fuzzy menunjukkan bahwa wilayah paling berisiko banjir yaitu Kecamatan Wenang. Hasil dengan menggunakan metode TOPSIS dan TOPSIS Fuzzy menunjukkan bahwa wilayah paling berisiko banjir yaitu Kecamatan Bunaken. Wenang sebagai wilayah banjir disebabkan lahan yang berada di dataran landai, ketinggian wilayah di bawah 240 meter, memiliki aliran sungai, intensitas curah hujan tinggi, dan besarnya tutupan lahan mencapai 94,59%. Bunaken menjadi wilayah banjir karena Bunaken memiliki aliran sungai terpanjang di Kota Manado yaitu 17,9 km. Kata kunci: Fuzzy, Kota Manado, MCDM, SAW, TOPSIS, Wilayah Banjir.

scholarly journals Exergy and economic assessments of an organic rankine cycle module designed for heat recovery in commercial truck engines

2020 ◽  
Vol 13 (37) ◽  
pp. 3871-3883
Author(s):  
Julius Thaddaeus ◽  
Keyword(s):  
Capital Investment ◽  
Heat Recovery ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Energy Performance ◽  
Economic Benefits ◽  
Payback Period ◽  
Specific Investment ◽  
Exhaust Heat ◽  
Investment Cost

Objectives: To evaluate the energy and exergy performances of a designed ORC system and to quantify loses within the system and measure its output.The study also assesses the economic performance of the ORC system to determine the feasibility of the business. Methods: Thermodynamic analysis assessing the energy performance and cost estimation using manufacturers’ prices to generate generic equations for estimating costs of the components of the designed ORC system. Findings: The results of the exergy evaluation of the ORC show a system thermal efficiency of 6.39%, net power output of 3.10kWe, exergy destruction of 9.07kW, and exergy efficiency of 54.6%. The economic estimation has a capital investment cost of £8,381.98, a specific investment cost of £2,754.36/kWe, annual savings of £1,233.34, and a payback period of 6.8years. Novelty: The use of exergetic method of analysis and the assessment of the potential economic benefits of installing the module in commercial trucks which form part of the acceptance-criteria, using prevailing market prices of the ORC system is an obvious novelty in this study. In addition, the generation and use of curve-fitting plots to obtain the generic equations for computing the approximate costs of the individual components of the system is an integral part of the novelty of this work. Keywords: Organic Rankine cycle; exergy and economic assessment; specific investment cost; capital investment cost; payback period; exhaust heat recovery

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