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Sustainable development of any country to some extent depends on successful accomplishment of construction projects, particularly infrastructures. Contractors have a key role in the success of these projects. Hence, the selection of a competent contractor as a complicated and hard decision process has a vital importance in the destiny of any construction project. Contractor selection is in essence a multicriteria decision-making that ought to encompass so many aspects of the project and the client’s requirements on one hand and the capabilities and past records of the contractors on the other hand. Failure in selecting a competent contractor may cause time and cost overruns; quality shortcomings; increasing in claims, disputes and change orders; and even failure of the project. In spite of deficiencies of selecting a contractor by the rule of “the lowest bid price”, it still prevails in many countries including Iran. In this paper, a new contractor selection model based on the best-worst method (BWM) and well-known Fuzzy-VIKOR techniques is proposed as a solution to overcome the deficiencies of the traditional “lowest bid price” rule. An illustrative example of a water channel construction project verified the applicability of the proposed model in practice.
Aziz Naghizadeh Vardin; Ramin Ansari; Mohammad Khalilzadeh; Jurgita Antucheviciene; Romualdas Bausys. An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects. Sustainability 2021, 13, 6933 .
AMA StyleAziz Naghizadeh Vardin, Ramin Ansari, Mohammad Khalilzadeh, Jurgita Antucheviciene, Romualdas Bausys. An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects. Sustainability. 2021; 13 (12):6933.
Chicago/Turabian StyleAziz Naghizadeh Vardin; Ramin Ansari; Mohammad Khalilzadeh; Jurgita Antucheviciene; Romualdas Bausys. 2021. "An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects." Sustainability 13, no. 12: 6933.
Assessing the performance of the Research and development (R&D) organizations to achieve higher productivity, growth, and development is always a critical necessity. Therefore, developing a more accurate model to evaluate the performance is always required. For this purpose, this study is aimed at developing a decision-making model for evaluating R&D performance. The model comes up with determining the most proper evaluative criteria for assessing R&D organizations. Then, it integrates Data Envelopment Analysis (DEA) with Analytical Network Process (ANP) to assess R&D performance. This paper is aimed to develop an integrated model for evaluating R&D performance. The findings of the study show that the DEA-ANP model is an accurate and acceptable model for evaluating R&D organizations’ performance.
Seyed Amirali Hoseini; Alireza Fallahpour; Kuan Yew Wong; Jurgita Antuchevičienė. DEVELOPING AN INTEGRATED MODEL FOR EVALUATING R&D ORGANIZATIONS’ PERFORMANCE: COMBINATION OF DEA-ANP. Technological and Economic Development of Economy 2021, 27, 970 -991.
AMA StyleSeyed Amirali Hoseini, Alireza Fallahpour, Kuan Yew Wong, Jurgita Antuchevičienė. DEVELOPING AN INTEGRATED MODEL FOR EVALUATING R&D ORGANIZATIONS’ PERFORMANCE: COMBINATION OF DEA-ANP. Technological and Economic Development of Economy. 2021; 27 (4):970-991.
Chicago/Turabian StyleSeyed Amirali Hoseini; Alireza Fallahpour; Kuan Yew Wong; Jurgita Antuchevičienė. 2021. "DEVELOPING AN INTEGRATED MODEL FOR EVALUATING R&D ORGANIZATIONS’ PERFORMANCE: COMBINATION OF DEA-ANP." Technological and Economic Development of Economy 27, no. 4: 970-991.
This Special Issue covers symmetric and asymmetric data that occur in real-life problems. We invited authors to submit their theoretical or experimental research to present engineering and economic problem solution models that deal with symmetry or asymmetry of different data types. The Special Issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, seventeen papers were accepted and published. The authors proposed different solution models, mainly covering uncertain data in multi-criteria decision-making problems as complex tools to balance the symmetry between goals, risks, and constraints to cope with the complicated problems in engineering or management. Therefore, we invite researchers interested in the topics to read the papers provided in the Special Issue.
Edmundas Zavadskas; Jurgita Antucheviciene; Zenonas Turskis. Symmetric and Asymmetric Data in Solution Models. Symmetry 2021, 13, 1045 .
AMA StyleEdmundas Zavadskas, Jurgita Antucheviciene, Zenonas Turskis. Symmetric and Asymmetric Data in Solution Models. Symmetry. 2021; 13 (6):1045.
Chicago/Turabian StyleEdmundas Zavadskas; Jurgita Antucheviciene; Zenonas Turskis. 2021. "Symmetric and Asymmetric Data in Solution Models." Symmetry 13, no. 6: 1045.
Stakeholders are increasingly aware of the aspect of sustainability, and the fact that the circular economy facilitates the achievement of sustainable development goals. They place pressure on supply chains to become sustainable, and for this reason, third-party logistics (3PL) service providers, as specialized professionals, play a vital role in sustainable supply chain management. Although developments in technology in the era of Industry 4.0 have been effective at directing 3PLs along the path towards sustainability, integrated management of forward and reverse logistics systems in order to achieve a circular economy and to become sustainable remains a problem, even in developed countries. However, benchmarking and using the experiences of others can help to speed up this path at a minimal cost. An interval type-2 fuzzy super-slack-based measure network DEA was developed to make such benchmarking possible. Governance style, staff behavior, environmental management systems, and social elements are considered, alongside the principles of the circular economy, in order to compare the sustainability performance of 17 3PLs with respect to different aspects through the application of the developed DEA model. Proper benchmarking with respect to strategies and operations of the 3PLs that are recognized as efficient makes it possible for these 3PLs to overcome obstacles and progress at a lower cost. The results show that 3PLs do not have a comprehensive sustainability strategy that is coordinated with an overall vision of the total supply chain. An investigation into the development of a framework with multiple steps for the guidance of 3PLs, as well as the whole supply chain, towards sustainability in the Industry 4.0 era would be a fruitful next study.
Mahsa Pishdar; Masoumeh Danesh Shakib; Jurgita Antucheviciene; Arvydas Vilkonis. Interval Type-2 Fuzzy Super SBM Network DEA for Assessing Sustainability Performance of Third-Party Logistics Service Providers Considering Circular Economy Strategies in the Era of Industry 4.0. Sustainability 2021, 13, 6497 .
AMA StyleMahsa Pishdar, Masoumeh Danesh Shakib, Jurgita Antucheviciene, Arvydas Vilkonis. Interval Type-2 Fuzzy Super SBM Network DEA for Assessing Sustainability Performance of Third-Party Logistics Service Providers Considering Circular Economy Strategies in the Era of Industry 4.0. Sustainability. 2021; 13 (11):6497.
Chicago/Turabian StyleMahsa Pishdar; Masoumeh Danesh Shakib; Jurgita Antucheviciene; Arvydas Vilkonis. 2021. "Interval Type-2 Fuzzy Super SBM Network DEA for Assessing Sustainability Performance of Third-Party Logistics Service Providers Considering Circular Economy Strategies in the Era of Industry 4.0." Sustainability 13, no. 11: 6497.
Construction is a complex activity, characterized by high levels of capital investment, relatively long delivery durations, multitudinous risks and uncertainties, as well as requiring the integration of multiple skills delivering a huge volume of tasks and processes. All of these must be coordinated carefully if time, cost, and quality constraints are to be met. At the same time, construction is renowned for performing poorly regarding sustainability metrics. Construction activity generates high volumes of waste, requires vast amounts of resources and materials, while consuming a significant proportion of total energy generated. Digitalization of the construction workplace and construction activities has the potential of improving construction performance both in terms of business results as well as sustainability outcomes. This is because, to put it simply, reduced energy usage, for example, impacts economic and “green” performance, simultaneously. Firms tinkering with digitalization, however, do not always achieve the hoped-for outcomes. The challenge faced is that a digital transition of construction firms must be carried out at a strategic level—requiring a comprehensive change management protocol. What then does a digital strategy entail? This study puts forward an argument for the combined economic and sustainability dividends to be had from digitizing construction firm activities. It outlines the requirements for achieving digitalization. The elements of a comprehensive digitalization strategy are cataloged, while the various approaches to developing a digitalization strategy are discussed. This study offers practitioners a useful framework by which to consider their own firm-level efforts at digitalization transition.
Bahareh Nikmehr; M. Hosseini; Igor Martek; Edmundas Zavadskas; Jurgita Antucheviciene. Digitalization as a Strategic Means of Achieving Sustainable Efficiencies in Construction Management: A Critical Review. Sustainability 2021, 13, 5040 .
AMA StyleBahareh Nikmehr, M. Hosseini, Igor Martek, Edmundas Zavadskas, Jurgita Antucheviciene. Digitalization as a Strategic Means of Achieving Sustainable Efficiencies in Construction Management: A Critical Review. Sustainability. 2021; 13 (9):5040.
Chicago/Turabian StyleBahareh Nikmehr; M. Hosseini; Igor Martek; Edmundas Zavadskas; Jurgita Antucheviciene. 2021. "Digitalization as a Strategic Means of Achieving Sustainable Efficiencies in Construction Management: A Critical Review." Sustainability 13, no. 9: 5040.
This paper presents a new optimization model and a new interval type-2 fuzzy solution approach for project portfolio selection and scheduling (PPSS) problem, in which split of projects and re-execution are allowable. Afterward, the approach is realized as a multi-objective optimization that maximizes total benefits of projects concerning economic concepts by considering the interest rate and time value of money and minimizes the tardiness value and total number of interruptions of chosen projects. Besides, budget and resources limitation, newfound relations are proposed to consider dependency relationships via a synergy among projects to solve PPSS problem hiring interval type-2 fuzzy sets. For validation of the model, numerical instances are provided and solved by a new extended procedure based on fuzzy optimistic and pessimistic viewpoints regarding several situations. In the end, their results are studied. The results show that it is more beneficial when projects are allowed to be split.
Samaneh Zolfaghari; Seyed Meysam Mousavi; Jurgita Antuchevičienė. A TYPE-2 FUZZY OPTIMIZATION MODEL FOR PROJECT PORTFOLIO SELECTION AND SCHEDULING INCORPORATING PROJECT INTERDEPENDENCY AND SPLITTING. Technological and Economic Development of Economy 2021, 27, 493 -510.
AMA StyleSamaneh Zolfaghari, Seyed Meysam Mousavi, Jurgita Antuchevičienė. A TYPE-2 FUZZY OPTIMIZATION MODEL FOR PROJECT PORTFOLIO SELECTION AND SCHEDULING INCORPORATING PROJECT INTERDEPENDENCY AND SPLITTING. Technological and Economic Development of Economy. 2021; 27 (2):493-510.
Chicago/Turabian StyleSamaneh Zolfaghari; Seyed Meysam Mousavi; Jurgita Antuchevičienė. 2021. "A TYPE-2 FUZZY OPTIMIZATION MODEL FOR PROJECT PORTFOLIO SELECTION AND SCHEDULING INCORPORATING PROJECT INTERDEPENDENCY AND SPLITTING." Technological and Economic Development of Economy 27, no. 2: 493-510.
The weights of criteria in multi-criteria decision-making (MCDM) problems are essential elements that can significantly affect the results. Accordingly, researchers developed and presented several methods to determine criteria weights. Weighting methods could be objective, subjective, and integrated. This study introduces a new method, called MEREC (MEthod based on the Removal Effects of Criteria), to determine criteria’ objective weights. This method uses a novel idea for weighting criteria. After systematically introducing the method, we present some computational analyses to confirm the efficiency of the MEREC. Firstly, an illustrative example demonstrates the procedure of the MEREC for calculation of the weights of criteria. Secondly, a comparative analysis is presented through an example for validation of the introduced method’s results. Additionally, we perform a simulation-based analysis to verify the reliability of MEREC and the stability of its results. The data of the MCDM problems generated for making this analysis follow a prevalent symmetric distribution (normal distribution). We compare the results of the MEREC with some other objective weighting methods in this analysis, and the analysis of means (ANOM) for variances shows the stability of its results. The conducted analyses demonstrate that the MEREC is efficient to determine objective weights of criteria.
Mehdi Keshavarz-Ghorabaee; Maghsoud Amiri; Edmundas Zavadskas; Zenonas Turskis; Jurgita Antucheviciene. Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC). Symmetry 2021, 13, 525 .
AMA StyleMehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Zavadskas, Zenonas Turskis, Jurgita Antucheviciene. Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC). Symmetry. 2021; 13 (4):525.
Chicago/Turabian StyleMehdi Keshavarz-Ghorabaee; Maghsoud Amiri; Edmundas Zavadskas; Zenonas Turskis; Jurgita Antucheviciene. 2021. "Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)." Symmetry 13, no. 4: 525.
Credit risk evaluation is always the most important factor in determining Customers' credit status in financial institutions. Multi-Attribute Decision-Making (MADM) methods have been widely used in this field. But most of the studies neglect the undeniable impact of time and changes of the credit assessment criteria, their importance and evaluation data over time. On the other hand, developed Dynamic MADM (DMADM) methods often used subjective weighting methods and then applied some aggregation operators to rank alternatives. This paper proposes a new combination of Data Envelopment Analysis (DEA) as a powerful objective weighting method with DMADM as a novel dynamic decision-making method for credit performance evaluation. For this aim, the credit performance criteria were extracted using literature review and experts’ views. Criteria weights were calculated with dynamic DEA common set of weights approach. Then, the applicants are prioritized using five Grey MADM methods (including SAW-G, VIKOR-G, TOPSIS-G, ARAS-G and COPRAS-G). Finally, a new method called Correlation Coefficient and Standard Deviation (CCSD) was used to determine the final aggregated rank. This novel method is applied in order to credit ratings of the clients in the Beekeeping Industry Development Funding Institute IRAN The results indicate that the proposed MADM method, while eliminating the limitations of previous methods, has been able to maintain robustness. Also, the results are highly correlated with the results of previous methods.
Jalil Heidary Dahooie; Seyed Hossein Razavi Hajiagha; Shima Farazmehr; Edmundas Kazimieras Zavadskas; Jurgita Antucheviciene. A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods. Computers & Operations Research 2021, 129, 105223 .
AMA StyleJalil Heidary Dahooie, Seyed Hossein Razavi Hajiagha, Shima Farazmehr, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene. A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods. Computers & Operations Research. 2021; 129 ():105223.
Chicago/Turabian StyleJalil Heidary Dahooie; Seyed Hossein Razavi Hajiagha; Shima Farazmehr; Edmundas Kazimieras Zavadskas; Jurgita Antucheviciene. 2021. "A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods." Computers & Operations Research 129, no. : 105223.
The article analyses implementation of BIM-M (Building Information Modeling for Masonry) into the BIM (Building Information Modeling) project to ensure the preparation of the masonry project. The BIM-M model consists of a masonry database, a masonry unit model, a masonry unit database model, and masonry unit model definition and BIM masonry wall definition model. The case study proposes a BIM-M model for cavity wall, masonry structures involving project stakeholders and ensuring the exchange of information at the design stage CAD (Computer Aided Design) with the ability to transfer information to other life cycles CAM (Computer Aided Manufacturing) and CAE (Computer Aided Engineering).
Viačeslav Zigmund; Jurgita Antuchevičienė; Darius Migilinskas. ANALYSIS OF THE BIM-M DATA MODEL APPLICATION. Mokslas - Lietuvos ateitis 2021, 13, 1 -4.
AMA StyleViačeslav Zigmund, Jurgita Antuchevičienė, Darius Migilinskas. ANALYSIS OF THE BIM-M DATA MODEL APPLICATION. Mokslas - Lietuvos ateitis. 2021; 13 ():1-4.
Chicago/Turabian StyleViačeslav Zigmund; Jurgita Antuchevičienė; Darius Migilinskas. 2021. "ANALYSIS OF THE BIM-M DATA MODEL APPLICATION." Mokslas - Lietuvos ateitis 13, no. : 1-4.
The development of science and technology parks (STPs) has become a trendy tool for promoting the economy, innovation, and technology for more than 30 years worldwide. However, STPs poses challenges for urban planners seeking a vision of sustainable urban development. These places become an object of attraction for many highly skilled workers who create daily traffic flows. The proper accessibility and provision of transport infrastructure and services become the challenge for the development of such places because the availability of services influences the choice of travel mode and the possible employees’ travel behaviour. The authors of the research aim to assess the level of development of infrastructure and transport services conducive to the sustainable mobility of science and technology park staff in Vilnius city. Changing mobility behaviour into a more sustainable way is of interest to many scientists and practitioners, so the authors think that STP staff can represent a group of educated, working-age stakeholders within the city population, who has an interest in sustainable mobility travel options and can set an example of sustainable travel. Besides, recommendations for the planning and sustainable development from the sustainable urban mobility point of view of science and technology parks and similar institutions are provided. To achieve this goal, the authors use scientific empirical and theoretical research as well as multi-criteria decision-making (MCDM) methods. The results show the link between the distance from the developed STP site to the city centre and the more sustainable mobility of workers. Therefore, it is suggested to develop STPs closer to the urban centre as it often does not require large-scale development, nor do they engage in the polluting industry. Moreover, the authors suggest the key criteria that should be considered for STP development.
Simona Zapolskytė; Vaida Vabuolytė; Marija Burinskienė; Jurgita Antuchevičienė. Assessment of Sustainable Mobility by MCDM Methods in the Science and Technology Parks of Vilnius, Lithuania. Sustainability 2020, 12, 9947 .
AMA StyleSimona Zapolskytė, Vaida Vabuolytė, Marija Burinskienė, Jurgita Antuchevičienė. Assessment of Sustainable Mobility by MCDM Methods in the Science and Technology Parks of Vilnius, Lithuania. Sustainability. 2020; 12 (23):9947.
Chicago/Turabian StyleSimona Zapolskytė; Vaida Vabuolytė; Marija Burinskienė; Jurgita Antuchevičienė. 2020. "Assessment of Sustainable Mobility by MCDM Methods in the Science and Technology Parks of Vilnius, Lithuania." Sustainability 12, no. 23: 9947.
One of the major issues of the construction industry has been the “reworks” that affect the time, quality, and cost of projects. Therefore, reworks and the ineffective use of site resources and materials will always result in significant losses on projects. The development of information technology has led to the widespread use of Building Information Modelling (BIM) to enhance the delivery of more sustainable building construction projects. The purpose of this study is to combine the Step-wise Weight Assessment Ratio Analysis (SWARA) method and BIM technologies to identify and reduce time delays caused by reworks in construction projects. Firstly, 49 rework causes in residential buildings were identified and ranked. Then, BIM was generated and compared to the initial model. It was observed that working hours were reduced by 4.6%. Moreover, using an Earned Value Management (EVM) system, a 0.06 increase in Schedule Performance Index (SPI) factor was illustrated. Results obtained by this study provide an effective step in reducing a project’s time in the construction industry.
Hamidreza Khalesi; Amirhossein Balali; Alireza Valipour; Jurgita Antucheviciene; Darius Migilinskas; Viaceslav Zigmund. Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time. Sustainability 2020, 12, 8927 .
AMA StyleHamidreza Khalesi, Amirhossein Balali, Alireza Valipour, Jurgita Antucheviciene, Darius Migilinskas, Viaceslav Zigmund. Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time. Sustainability. 2020; 12 (21):8927.
Chicago/Turabian StyleHamidreza Khalesi; Amirhossein Balali; Alireza Valipour; Jurgita Antucheviciene; Darius Migilinskas; Viaceslav Zigmund. 2020. "Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time." Sustainability 12, no. 21: 8927.
The cost, time and scope of a construction project are key parameters for its success. Thus, predicting these indices is indispensable. Correct and accurate prediction of cost throughout the progress of a project gives project managers the chance to identify projects that need revision in their schedules in order to result in the maximum benefit. The aim of this study is to minimize the shortcomings of the Earned Value Management (EVM) method using an Artificial Neural Network (ANN) and multiple regression analysis in order to predict project cost indices more precisely. A total of 50 road construction projects in Fars Province, Iran, were selected for analysis in this research. An ANN model was used to predict the projects’ cost performance indices, thereby creating a more accurate symmetry between the predicted and actual cost by considering factors that influence project success. The input data of the ANN model were analysed in MATLAB software. A multiple regression model was also used as another analytical tool to validate the outcome of the ANN. The results showed that the ANN model resulted in a lower Mean Squared Error (MSE) and a greater correlation coefficient than both the traditional EVM model and the multiple regression model.
Amirhossein Balali; Alireza Valipour; Jurgita Antucheviciene; Jonas Šaparauskas; Amirhossein Balali. Improving the Results of the Earned Value Management Technique Using Artificial Neural Networks in Construction Projects. Symmetry 2020, 12, 1745 .
AMA StyleAmirhossein Balali, Alireza Valipour, Jurgita Antucheviciene, Jonas Šaparauskas, Amirhossein Balali. Improving the Results of the Earned Value Management Technique Using Artificial Neural Networks in Construction Projects. Symmetry. 2020; 12 (10):1745.
Chicago/Turabian StyleAmirhossein Balali; Alireza Valipour; Jurgita Antucheviciene; Jonas Šaparauskas; Amirhossein Balali. 2020. "Improving the Results of the Earned Value Management Technique Using Artificial Neural Networks in Construction Projects." Symmetry 12, no. 10: 1745.
Symmetry is an international journal in the research fields of physics, chemistry, biology, mathematics, computer science, theory and methods, and other scientific disciplines and engineering. The first paper was published in 2009. Here, we make a bibliometric analysis of publications in Symmetry from 2009 to 2019. According to Web of Science (WoS), we obtained 3215 publications in this journal. First, we explore the publications, citation number, and citation structure based on bibliometric indicators. Second, we analyze the most influential objects, including countries/regions, institutions, authors, and papers. Cooperation networks are also presented. Next, the co-citation and burst detection analyses are conducted according to the techniques of visualization tools, i.e., VOSviewer and CiteSpace. Furthermore, the co-occurrence analyses and timeline view analyses of keywords are investigated, aiming to explore the research hotspots. Finally, this paper provides relatively thorough perspectives and reviews and discloses the future development trend of this journal and challenges for scholars, which will promote the development of the journal and in-depth research of scholars.
Bo Li; Zeshui Xu; Edmundas Kazimieras Zavadskas; Jurgita Antuchevičienė; Zenonas Turskis. A Bibliometric Analysis of Symmetry (2009–2019). Symmetry 2020, 12, 1304 .
AMA StyleBo Li, Zeshui Xu, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė, Zenonas Turskis. A Bibliometric Analysis of Symmetry (2009–2019). Symmetry. 2020; 12 (8):1304.
Chicago/Turabian StyleBo Li; Zeshui Xu; Edmundas Kazimieras Zavadskas; Jurgita Antuchevičienė; Zenonas Turskis. 2020. "A Bibliometric Analysis of Symmetry (2009–2019)." Symmetry 12, no. 8: 1304.
An increasing number of recent discussions have focused on the need for designing transport systems in consonance with the importance of the environment, thus promoting investment in the growth of non-motorized transport infrastructure. Under such conditions, the demand for implementing the most effective infrastructure measures has a profoundly positive impact, and requires the least possible financial and human resources. The development of the concept of sustainable mobility puts emphasis on the integrated planning of transport systems, and pays major attention to the expansion of non-motorized and public transport, and different sharing systems, as well as to effective traffic management involving intelligent transport systems. The development of transport infrastructure requires massive investment, and hence the proper use of mobility measures is one of the most important objectives for the rational planning of sustainable transport systems. To achieve this established goal, this article examines a compiled set of mobility measures and identifies the significance of the preferred tools, which involve sustainable mobility experts. The paper also applies multicriteria decision making methods in assessing urban transport systems and their potential in terms of sustainable mobility. Multicriteria decision making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and for comparing them between cities. The proposed universal evaluation model is applied to similar types of cities. The article explores the adaptability of the model by assessing big Lithuanian cities.
Jonas Damidavičius; Marija Burinskienė; Jurgita Antuchevičienė. Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods. Sustainability 2020, 12, 6067 .
AMA StyleJonas Damidavičius, Marija Burinskienė, Jurgita Antuchevičienė. Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods. Sustainability. 2020; 12 (15):6067.
Chicago/Turabian StyleJonas Damidavičius; Marija Burinskienė; Jurgita Antuchevičienė. 2020. "Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods." Sustainability 12, no. 15: 6067.
Inventory classification is a fundamental issue in the development of inventory policy that assigns each inventory item to several classes with different levels of importance. This classification is the main determinant of a suitable inventory control policy of inventory classes. Therefore, a great deal of research is done on solving this problem. Usually, the problem of inventory classification is considered in a multi-criteria and uncertain environment. The proposed method in this paper inspired by the notion of heterogeneous decision-making problems in which decision-makers deal with different types of data. To this aim, a mathematical modeling-based approach is proposed considering different types of uncertainty in classification information. Demand information is considered to be stochastic due to its time-varying nature and cost information is considered to be fuzzy due to its cognitive ambiguity. A hybrid algorithm based on chance-constrained and possibilistic programming is proposed to solve the problems. Considering the stochastic nature of demand information, solving the proposed model using the hybrid algorithm, the classification of items to three classes of extremely important, class A, moderately important, class B, and relatively unimportant, class C, items are determined along with a minimum inventory level required to deal with the stochasticity of demands information. The proposed approach is applied to a case study of classifying 51 inventory items. The obtained results assigned 22%, 39%, and 39% of the items to A, B, and C classes, respectively.
Seyed Hossein Razavi Hajiagha; Maryam Daneshvar; Jurgita Antucheviciene. A hybrid fuzzy-stochastic multi-criteria ABC inventory classification using possibilistic chance-constrained programming. Soft Computing 2020, 25, 1065 -1083.
AMA StyleSeyed Hossein Razavi Hajiagha, Maryam Daneshvar, Jurgita Antucheviciene. A hybrid fuzzy-stochastic multi-criteria ABC inventory classification using possibilistic chance-constrained programming. Soft Computing. 2020; 25 (2):1065-1083.
Chicago/Turabian StyleSeyed Hossein Razavi Hajiagha; Maryam Daneshvar; Jurgita Antucheviciene. 2020. "A hybrid fuzzy-stochastic multi-criteria ABC inventory classification using possibilistic chance-constrained programming." Soft Computing 25, no. 2: 1065-1083.
A sustainable manufacturing company depends on the developments in three aspects in order to minimize harmful impacts on the environment, improve the social relations, and simultaneously maximize the economic benefits. Despite the increasing types of investigations that researchers have carried out in environmental and economic aspects, the minimum attention has been paid to social relations. In response to this deficiency, this paper proposes a new framework to obtain the overall sustainability index in manufacturing companies by encapsulating the sustainability criteria/sub-criteria. This article collected 33 sub-criteria for five pillars of sustainability as social, environment, economic, technological advancement, and performance management. The key contributions of this paper are highlighted as the hierarchical method that obtains the status of sustainability in uncertain conditions, the ability to identify the weak points, and a new framework for gathering the data about sustainability performance in manufacturing companies. The findings of this paper will aid both policymakers and decision-makers to assess the sustainability status of manufacturing systems and improve the performances of them.
Sepehr Hendiani; Huchang Liao; Morteza Bagherpour; Manuela Tvaronavičienė; Audrius Banaitis; Jurgita Antucheviciene. Analyzing the Status of Sustainable Development in the Manufacturing Sector Using Multi-Expert Multi-Criteria Fuzzy Decision-Making and Integrated Triple Bottom Lines. International Journal of Environmental Research and Public Health 2020, 17, 3800 .
AMA StyleSepehr Hendiani, Huchang Liao, Morteza Bagherpour, Manuela Tvaronavičienė, Audrius Banaitis, Jurgita Antucheviciene. Analyzing the Status of Sustainable Development in the Manufacturing Sector Using Multi-Expert Multi-Criteria Fuzzy Decision-Making and Integrated Triple Bottom Lines. International Journal of Environmental Research and Public Health. 2020; 17 (11):3800.
Chicago/Turabian StyleSepehr Hendiani; Huchang Liao; Morteza Bagherpour; Manuela Tvaronavičienė; Audrius Banaitis; Jurgita Antucheviciene. 2020. "Analyzing the Status of Sustainable Development in the Manufacturing Sector Using Multi-Expert Multi-Criteria Fuzzy Decision-Making and Integrated Triple Bottom Lines." International Journal of Environmental Research and Public Health 17, no. 11: 3800.
Residential whole-decoration is an important initiative for housing industrialization in China. Selecting the most suitable component supplier for housing development is of great significance for both property developers and buyers in the implementation of such a strategy. To address such a problem, this study uses hesitant fuzzy linguistic term sets to express the inaccurate judgments of individuals and then introduces a novel probability aggregation approach based on interval rough boundaries to enable a realistic presentation of the collective evaluations of a group. Then, we propose a hybrid multi-expert multiple criteria decision-making model by integrating the Best Worst Method (BWM) and Combined Compromise Solution (CoCoSo) method based on the interval rough boundaries. A case study about the supplier selection for housing development is carried out, which demonstrates the feasibility and applicability of our proposed hybrid model. A comparison study is also performed to further validate the robustness of the model.
Zhiying Zhang; Huchang Liao; Abdullah Al-Barakati; Edmundas Kazimieras Zavadskas; Jurgita Antuchevičienė. SUPPLIER SELECTION FOR HOUSING DEVELOPMENT BY AN INTEGRATED METHOD WITH INTERVAL ROUGH BOUNDARIES. International Journal of Strategic Property Management 2020, 24, 269 -284.
AMA StyleZhiying Zhang, Huchang Liao, Abdullah Al-Barakati, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė. SUPPLIER SELECTION FOR HOUSING DEVELOPMENT BY AN INTEGRATED METHOD WITH INTERVAL ROUGH BOUNDARIES. International Journal of Strategic Property Management. 2020; 24 (4):269-284.
Chicago/Turabian StyleZhiying Zhang; Huchang Liao; Abdullah Al-Barakati; Edmundas Kazimieras Zavadskas; Jurgita Antuchevičienė. 2020. "SUPPLIER SELECTION FOR HOUSING DEVELOPMENT BY AN INTEGRATED METHOD WITH INTERVAL ROUGH BOUNDARIES." International Journal of Strategic Property Management 24, no. 4: 269-284.
In the context of sustainable development, building energy conservation has become the development trend of the construction industry. The selection of energy-saving building program, as a multi-criteria decision-making (MCDM) problem, has a direct influence on the actual energy-saving effect. In this paper, an integrated MCDM method combining the extended best worst method (BWM) and Weighted Aggregated Sum Product Assessment (WASPAS) method is proposed to solve the energy-saving building program selection problem under the linguistic Pythagorean fuzzy environment. The Linguistic Pythagorean fuzzy sets (LPFSs) are used to model the uncertain evaluation information of experts. The extended BWM is developed to determine the weights of criteria, while the extended WASPAS method is proposed to determine the ranking of alternatives. To validate the applicability and reliability of the proposed method, this paper presents a numerical example of the selection problem for energy-saving building programs. Some managerial insights are also given for practitioners to use the proposed method.
Min Huang; Xinli Zhang; Ruxue Ren; Huchang Liao; Edmundas Kazimieras Zavadskas; Jurgita Antuchevičienė. ENERGY-SAVING BUILDING PROGRAM EVALUATION WITH AN INTEGRATED METHOD UNDER LINGUISTIC ENVIRONMENT. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 2020, 26, 447 -458.
AMA StyleMin Huang, Xinli Zhang, Ruxue Ren, Huchang Liao, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė. ENERGY-SAVING BUILDING PROGRAM EVALUATION WITH AN INTEGRATED METHOD UNDER LINGUISTIC ENVIRONMENT. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT. 2020; 26 (5):447-458.
Chicago/Turabian StyleMin Huang; Xinli Zhang; Ruxue Ren; Huchang Liao; Edmundas Kazimieras Zavadskas; Jurgita Antuchevičienė. 2020. "ENERGY-SAVING BUILDING PROGRAM EVALUATION WITH AN INTEGRATED METHOD UNDER LINGUISTIC ENVIRONMENT." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26, no. 5: 447-458.
In the design of the supply chain, the use of the returned products and their recycling in the production and consumption network is called reverse logistics. The proposed model aims to optimize the flow of materials in the supply chain network (SCN), and determine the amount and location of facilities and the planning of transportation in conditions of demand uncertainty. Thus, maximizing the total profit of operation, minimizing adverse environmental effects, and maximizing customer and supplier service levels have been considered as the main objectives. Accordingly, finding symmetry (balance) among the profit of operation, the environmental effects and customer and supplier service levels is considered in this research. To deal with the uncertainty of the model, scenario-based robust planning is employed alongside a meta-heuristic algorithm (NSGA-II) to solve the model with actual data from a case study of the steel industry in Iran. The results obtained from the model, solving and validating, compared with actual data indicated that the model could optimize the objectives seamlessly and determine the amount and location of the necessary facilities for the steel industry more appropriately.
Jurgita Antucheviciene; Ahmad Jafarnejad; Hannan Amoozad Mahdiraji; Seyed Hossein Razavi Hajiagha; Amir Kargar. Robust Multi-Objective Sustainable Reverse Supply Chain Planning: An Application in the Steel Industry. Symmetry 2020, 12, 594 .
AMA StyleJurgita Antucheviciene, Ahmad Jafarnejad, Hannan Amoozad Mahdiraji, Seyed Hossein Razavi Hajiagha, Amir Kargar. Robust Multi-Objective Sustainable Reverse Supply Chain Planning: An Application in the Steel Industry. Symmetry. 2020; 12 (4):594.
Chicago/Turabian StyleJurgita Antucheviciene; Ahmad Jafarnejad; Hannan Amoozad Mahdiraji; Seyed Hossein Razavi Hajiagha; Amir Kargar. 2020. "Robust Multi-Objective Sustainable Reverse Supply Chain Planning: An Application in the Steel Industry." Symmetry 12, no. 4: 594.
Hospital performance evaluation (HPE) has a major role in improving the quality, safety, and effectiveness of health care services, so it is indispensable for proper and continuous operation of hospitals. Although several studies have been performed on HPE, few have used group decision-making (GDM). This study presents a comprehensive multi-criteria GDM model for HPE under uncertain conditions. In this model, we have combined the group best–worst method (GBWM) and fuzzy preference programming (FPP) method to create an applicable framework for GDM in which members of a decision-making group including decision-makers (DMs) have different expertise and the importance of criteria and DMs opinions are determined by a supervisor. The advantages of the proposed method include the integration of the GDM process in the form of a single model and there is no need to calculate separately the consistency of the decisions of the decision-making team members. Finally, a case study conducted on 5 hospitals in Tehran is presented to demonstrate the applicability and effectiveness of the proposed method. The results show that Sina Hospital, Baharloo Hospital, and Tehran Heart Center were ranked first to third, respectively. Also, we can conclude from this study that the proposed integrated framework is capable to address the HPE problem by using a GDM and considering the uncertainty of the comparisons made by decision-making team members.
Maghsoud Amiri; Mohammad Hashemi-Tabatabaei; Mohammad Ghahremanloo; Mehdi Keshavarz-Ghorabaee; Edmundas Kazimieras Zavadskas; Jurgita Antucheviciene. A new fuzzy approach based on BWM and fuzzy preference programming for hospital performance evaluation: A case study. Applied Soft Computing 2020, 92, 106279 .
AMA StyleMaghsoud Amiri, Mohammad Hashemi-Tabatabaei, Mohammad Ghahremanloo, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene. A new fuzzy approach based on BWM and fuzzy preference programming for hospital performance evaluation: A case study. Applied Soft Computing. 2020; 92 ():106279.
Chicago/Turabian StyleMaghsoud Amiri; Mohammad Hashemi-Tabatabaei; Mohammad Ghahremanloo; Mehdi Keshavarz-Ghorabaee; Edmundas Kazimieras Zavadskas; Jurgita Antucheviciene. 2020. "A new fuzzy approach based on BWM and fuzzy preference programming for hospital performance evaluation: A case study." Applied Soft Computing 92, no. : 106279.