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Dr. Morteza Yazdani
ESIC Business & Marketing School

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0 Supplier Evaluation
0 MCDM
0 SCM
0 Circular Economoy
0 Fuzzy MCDM

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Journal article
Published: 05 July 2021 in Expert Systems with Applications
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Outsourcing is recognized as a strategic instrument for companies to move towards diversified operation advantages and efficient global market. However, outsourcing agreements may fail due to insufficient risk consideration and evaluation. This requires an effective risk evaluation approach that necessitates an entire comprehension of the system, its requirements and dimensions. This paper proposes a novel fuzzy group multiple-criteria decision-making approach through integrating triangular fuzzy hesitant sets (TFHS), Failure Mode and Effect Analysis (FMEA) and combined compromise solution (CoCoSo) algorithm. This approach (F-FMEA-CoCoSo, henceforth) analyzes and evaluates the possible risks level of alternative outsourcing providers. It hereby provides measurable information for managers according to the linguistic opinions of industrial experts. Utilization of hesitant fuzzy variables allows decision making participants to state their opinion more precisely. A case study of an Iranian chemical company is used to exemplify the applicability and suitability of the proposed F-FMEA-CoCoSo approach. The model reflects an analytical approach while experts are experiencing considerable uncertainty in risky conditions of outsourcing operations. CoCoSo contains an integrated approach of compromise solutions and its utilization enables investigators to assure results reliability which is proven via the sensitivity analysis. Through this study, we found that risk evaluation of outsourcing providers must consider four key-factors: multi-experts, multi-criteria, multi-uncertainties and measurability.

ACS Style

Morteza Yazdani; Ahmed Mohammed; Chunguang Bai; Ashraf Labib. A novel hesitant-fuzzy-based group decision approach for outsourcing risk. Expert Systems with Applications 2021, 184, 115517 .

AMA Style

Morteza Yazdani, Ahmed Mohammed, Chunguang Bai, Ashraf Labib. A novel hesitant-fuzzy-based group decision approach for outsourcing risk. Expert Systems with Applications. 2021; 184 ():115517.

Chicago/Turabian Style

Morteza Yazdani; Ahmed Mohammed; Chunguang Bai; Ashraf Labib. 2021. "A novel hesitant-fuzzy-based group decision approach for outsourcing risk." Expert Systems with Applications 184, no. : 115517.

Journal article
Published: 11 June 2021 in Expert Systems with Applications
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Evolution of supply chain management (SCM) in recent years has transformed it beyond the simple logic of benefit and economic point of views. One of such key strategic elements in establishing a sustainable and socially responsive SCM is supplier selection and performance assessment. This study brings forward a sustainable supplier evaluation structure under multiple criteria and interval valued fuzzy neutrosophic (IVFN) model. The proposed structure uses CRiteria Importance Through Inter -criteria Correlation (CRITIC) and combined compromised solution (CoCoSo) under IVFN environment for evaluation and selection of suppliers for a dairy company in Iran. Alternative supplier 5 (S5) emerges as the best supplier with the highest overall score (1.168). Average Spearman rank correlation coefficient between the proposed model and other well established decision-making models methods is found as 0.9651 which establishes reliability of model outcomes. The estimated zero value of Gini Index indicates that supplier 5 has a constant ranking in all considered methods. This is a practical sustainable supplier selection platform which allows decision makers in procurement and SC industries to select the most suitable supplier in any pre-determined period.

ACS Style

Morteza Yazdani; Ali Ebadi Torkayesh; Željko Stević; Prasenjit Chatterjee; Sahand Asgharieh Ahari; Violeta Doval Hernandez. An interval valued neutrosophic decision-making structure for sustainable supplier selection. Expert Systems with Applications 2021, 183, 115354 .

AMA Style

Morteza Yazdani, Ali Ebadi Torkayesh, Željko Stević, Prasenjit Chatterjee, Sahand Asgharieh Ahari, Violeta Doval Hernandez. An interval valued neutrosophic decision-making structure for sustainable supplier selection. Expert Systems with Applications. 2021; 183 ():115354.

Chicago/Turabian Style

Morteza Yazdani; Ali Ebadi Torkayesh; Željko Stević; Prasenjit Chatterjee; Sahand Asgharieh Ahari; Violeta Doval Hernandez. 2021. "An interval valued neutrosophic decision-making structure for sustainable supplier selection." Expert Systems with Applications 183, no. : 115354.

Earlycite article
Published: 01 June 2021 in Kybernetes
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Purpose Logistics is the part of the supply chain (SC) that plans, executes and handles forward and reverse movement and storage of products, services and related information, in order to respond to customers' needs effectively and efficiently. The main concern for logistics is to ensure that the correct product is placed at the right time. This paper introduces a linear model of shipping focused on decision-making, which includes configuration of shipping network, choosing of transport means and transfer of individual customer shipments through a particular transport system. Design/methodology/approach In this study, authors try to address the problem of supply chain network (SCN) where the primary goal is to determine the appropriate order allocation of products from different sources to different destinations. They also seek to minimize total transportation cost and inventory cost by simultaneously determining optimal locations, flows and shipment composition. The formulated problem of getting optimal allocation turns out to be a problem of multi-objective programming, and it is solved by using the max-addition fuzzy goal programming approach, for obtaining optimal order allocation of products. Furthermore, the problem demand and supply parameters have been considered random in nature, and the maximum likelihood estimation approach has been used to assess the unknown probabilistic distribution parameters with a specified probability level (SPL). Findings A case study has also been applied for examining the effectiveness and applicability of the developed multi-objective model and the proposed solution methods. Results of this study are very relevant for the manufacturing sector in particular, for those facing logistics issues in SCN. It enables researchers and managers to cope with various types of uncertainty and logistics risks associated with SCN. Research limitations/implications The principal contribution of the proposed model is the improved modelling of transportation and inventory, which are affected by different characteristics of SCN. To demonstrate computational information of the suggested methods and proposed model, a case illustration of SCN is provided. Also, environmentalism is increasingly becoming a significant global concern. Hence, the concept proposed could be extended to include environmental aspects as an objective function or constraint. Originality/value Efficient integration of logistical cost components, such as transportation costs, inventory costs, with mathematical programming models is an important open issue in logistics optimization. This study expands conventional facility location models to incorporate a range of logistic system elements such as transportation cost and different types of inventory cost, in a multi-product, multi-site network. The research is original and is focused on case studies of real life.

ACS Style

Srikant Gupta; Sachin Chaudhary; Prasenjit Chatterjee; Morteza Yazdani. An efficient stochastic programming approach for solving integrated multi-objective transportation and inventory management problem using goodness of fit. Kybernetes 2021, ahead-of-p, 1 .

AMA Style

Srikant Gupta, Sachin Chaudhary, Prasenjit Chatterjee, Morteza Yazdani. An efficient stochastic programming approach for solving integrated multi-objective transportation and inventory management problem using goodness of fit. Kybernetes. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Srikant Gupta; Sachin Chaudhary; Prasenjit Chatterjee; Morteza Yazdani. 2021. "An efficient stochastic programming approach for solving integrated multi-objective transportation and inventory management problem using goodness of fit." Kybernetes ahead-of-p, no. ahead-of-p: 1.

Research article
Published: 31 May 2021 in International Journal of Intelligent Systems
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This study proposes a novel structured framework for analyzing sustainable operational performance-related issues of ash handling unit (AHU) under vague/uncertain information and its impact on ecofriendly production. The structured framework is developed using an integrated fuzzy lambda–tau and fuzzy multicriteria decision-making methods. Reliability parameters are formulated for assessing the failure behavior of AHU using the fuzzy lambda–tau approach. Repair time parameter for the AHU system shows an increasing trend with a 0.6840% increase as the spread increases from ±15% to ±25% and 0.5981% when spread increases from ±25% to ±60%. Furthermore, the availability of the system decreases by 0.0335% with increase in spread from ±15% to ±25% and further decreases to 0.0315% with spread increases from ±25% to ±60%. Under risk analysis, possible failure causes with their fuzzy rating are listed under the failure mode and effect analysis (FMEA) approach. Evaluation based on distance from average solution (EDAS) and combinative distance-based assessment (CODAS) methods are further applied within the FMEA approach for identifying the most critical failure causes. Improper design (BT2), excessive gas volume (FH3), chocking/blockage (WA1), and scanty lubrication/greasing (SP1) associated with bottom ash handling, the fly ash handling system, wetting unit and ash disposal pipeline, and slurry pump with EDAS outputs (0.1464, 0.1090, 0.0918, 0.000) and CODAS outputs (3.3962, 3.5208, 2.6562, 2.0877) are found responsible for sudden failure of the considered unit. Sensitivity analysis has been done for evaluating the robustness of the proposed framework.

ACS Style

Dilbagh Panchal; Prasenjit Chatterjee; Dragan Pamucar; Morteza Yazdani. A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry. International Journal of Intelligent Systems 2021, 1 .

AMA Style

Dilbagh Panchal, Prasenjit Chatterjee, Dragan Pamucar, Morteza Yazdani. A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry. International Journal of Intelligent Systems. 2021; ():1.

Chicago/Turabian Style

Dilbagh Panchal; Prasenjit Chatterjee; Dragan Pamucar; Morteza Yazdani. 2021. "A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry." International Journal of Intelligent Systems , no. : 1.

Journal article
Published: 02 March 2021 in Sustainability
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Achieving a supply chain that is resilient to potential unforeseen disruptions (e.g., strikes, floods, tsunamis, etc.) remains one of the vital concerns of decision makers (DMs). To build up a reactive supply chain plan towards resilience, the purchasing department needs to pay the strictest attention to sourcing decisions. This study contributes to the literature through developing an efficient resilient supplier selection approach based on a new holistic framework that enables the identification of key resilience pillars (RPs) and traditional business criteria (TBC) in light of a thorough literature review and experts’ opinions. To this end, the relative importance of TBC/RP was measured by applying the DEMATEL (D) method. This was followed by the application of MABAC-OCRA-TOPSIS-VIKOR (MOTV) methods to verify the suppliers’ ranking. Furthermore, the Spearman rank correlation coefficient (SRCC) approach was used to investigate the correlation among the suppliers’ ranking, revealed via the four methods. In this work, a real sourcing problem of scrap metal for a steel manufacturing company was solved to prove the applicability of the proposed approach. The research outcome revealed that the TBC of “trust” is the most important criterion, followed by the “cost”, leaving the “geographical location” criterion as the least important one. In this context, the RP of “flexibility” attained the highest relative weight compared to “agility”, which secured the lowest weight. The results also showed “absolute” correlation among MABAC, VIKOR, and OCRA compared to “very strong” correlation between TOPSIS and the others. This research can support supply chain managers to achieve supply chain systems that reduce not only sourcing costs, but also potential losses because of disrupting threats, by building resilient supply chains.

ACS Style

Ahmed Mohammed; Morteza Yazdani; Amar Oukil; Ernesto Santibanez Gonzalez. A Hybrid MCDM Approach towards Resilient Sourcing. Sustainability 2021, 13, 2695 .

AMA Style

Ahmed Mohammed, Morteza Yazdani, Amar Oukil, Ernesto Santibanez Gonzalez. A Hybrid MCDM Approach towards Resilient Sourcing. Sustainability. 2021; 13 (5):2695.

Chicago/Turabian Style

Ahmed Mohammed; Morteza Yazdani; Amar Oukil; Ernesto Santibanez Gonzalez. 2021. "A Hybrid MCDM Approach towards Resilient Sourcing." Sustainability 13, no. 5: 2695.

Journal article
Published: 12 January 2021 in Expert Systems with Applications
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The role of airports is critical for a region in which it is viewed as an engine for the economic development. Facilities, infrastructure, information and in general the services offered by an airport represent the fuel for this engine. Evidently, customers and travelers expect standard-quality services that need to be framed and measured. Therefore, services in airports should be quantified and maintained, accordingly. This article reports a case study for evaluating quality of services offered by five main airports located in Spain. Quality of service was modelled based on a number of factors such as convenience, comfort, courtesy of staffs, information visibility, prices, security, and transportation facilities. The grey based multi-criteria decision analysis (MCDA) was employed towards a reliable evaluation process by airport experts and to accommodate the several qualitative and conflicting evaluation factors with distinct definitions. To this end, Grey Step-wise Weight Assessment Ratio Analysis (SWARA-G) and grey Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS-G) methods were applied for quantifying relative weights of decision factors and rating airports, respectively. Several sensitivity analysis, simulations, and comparisons were conducted for verifying the preciseness of the revealed results. Research findings demonstrate that the proposed SWARA-G-MARCOS-G-based methodology (i) enables decision makers to express their preferences clearly; and (ii) attenuates the embedded subjectivity and uncertainty within the decision-making process. In addition, they revealed that access to the parking and Wi-Fi connection are amongst the critical factors in evaluating service quality of airport. This paper contributes to related literature in presenting a novel decision-making approach for measuring service quality of airports, validated via a real-case study. The employed interval and linguistic grey variables allow experts, in airport operations, to express their opinions with higher flexibility and comfortability. The presented model could be re-applied for other studies or practical cases as a user-friendly decision support system.

ACS Style

Dragan Pamucar; Morteza Yazdani; María José Montero-Simo; Rafael A. Araque-Padilla; Ahmed Mohammed. Multi-criteria decision analysis towards robust service quality measurement. Expert Systems with Applications 2021, 170, 114508 .

AMA Style

Dragan Pamucar, Morteza Yazdani, María José Montero-Simo, Rafael A. Araque-Padilla, Ahmed Mohammed. Multi-criteria decision analysis towards robust service quality measurement. Expert Systems with Applications. 2021; 170 ():114508.

Chicago/Turabian Style

Dragan Pamucar; Morteza Yazdani; María José Montero-Simo; Rafael A. Araque-Padilla; Ahmed Mohammed. 2021. "Multi-criteria decision analysis towards robust service quality measurement." Expert Systems with Applications 170, no. : 114508.

Journal article
Published: 25 December 2020 in Sustainable Operations and Computers
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To increase efficiency of energy sector, the implementation of renewable energy systems and finding most appropriate renewable energy resource is of high significance for governments. One of the fundamental decision-making problems in energy sector is to design decision making tools to find optimal energy resources. Usually, experts in the energy decision-making sector have a platform containing multiple criteria indicators that are expressed as conflicting objectives. In this paper, we proposed a Multiple Criteria Decision-Making (MCDM) model to handle conflicting objectives while evaluating five renewable resources: solar PV, Solar thermal, wind power, geothermal, and biomass with respect to economic, technical, social, and environmental aspects. Shannon Entropy method is used to determine the importance of criteria. Evaluation based on distance from average solution (EDAS) is used to prioritize the renewable energy technologies. To demonstrate the feasibility of the proposed decision-making model, a real-life case study for Saudi Arabia is investigated. Under defined socio-economic and environment criteria, results indicate that wind energy can be opted the as most suitable source fitted to the objectives and policies of the decision makers. In order to verify the results and to show the impact of parameter changes on final solutions, different sensitivity analysis tests are performed.

ACS Style

Morteza Yazdani; Ali Ebadi Torkayesh; Ernesto Dr Santibanez-Gonzalez; Sina Khanmohammadi Otaghsara. Evaluation of renewable energy resources using integrated Shannon Entropy—EDAS model. Sustainable Operations and Computers 2020, 1, 35 -42.

AMA Style

Morteza Yazdani, Ali Ebadi Torkayesh, Ernesto Dr Santibanez-Gonzalez, Sina Khanmohammadi Otaghsara. Evaluation of renewable energy resources using integrated Shannon Entropy—EDAS model. Sustainable Operations and Computers. 2020; 1 ():35-42.

Chicago/Turabian Style

Morteza Yazdani; Ali Ebadi Torkayesh; Ernesto Dr Santibanez-Gonzalez; Sina Khanmohammadi Otaghsara. 2020. "Evaluation of renewable energy resources using integrated Shannon Entropy—EDAS model." Sustainable Operations and Computers 1, no. : 35-42.

Research article
Published: 08 October 2020 in International Journal of Intelligent Systems
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The objectives of this study are to mitigate the risk and disturbances to the supply chain, to offer required models for resolving the complex issues that arise, and to maintain the stability of the support system. Also, the uncertain conditions in a supply chain force decision‐makers and experts to adopt a fuzzy‐based evaluation platform to ensure secure and reliable consequences. The current study proposed a fuzzy neutrosophic decision‐making approach for supplier evaluation and selection. The model is composed of a new weight aggregator that uses pairwise comparison, which has not been reported to date. The model uses a Dombi aggregator that is more qualified than other aggregators. The Dombi t‐conorms and t‐norms have the same properties as those of the general t‐conorm and t‐norm, which can enhance the flexibility of the information aggregation process via the adjustment of a parameter. A decision‐making environment with uncertain conditions and multiple factors is supposed. We applied this approach in a construction company to analyse the suppliers in a resilient supply chain management (RSCM) system using a MABAC (multiattribute border approximation area comparison) tool. The accuracy of the proposed model was examined via sensitivity analysis tests. This study proposes a novel fuzzy‐neutrosophic‐based approach for resilient supplier selection. The main contributions of this study work are the design, implementation and analysis of a multiattribute evaluation system with respect to fuzzy neutrosophic values. In this evaluation system, a new pairwise comparison is conducted with trapezoidal neutrosophic linguistic variables to determine the importance weights of supplier criteria. Typically, the provision of opinions regarding the qualitative performances of suppliers is a difficult and confusing responsibility for experts and supplier evaluators. Therefore, the proposed approach overcomes this problem by utilizing a pairwise comparison by neutrosophic values and proposes original Dombi aggregation operators for dealing with fuzzy neutrosophic sets.

ACS Style

Dragan Pamucar; Morteza Yazdani; Radojko Obradovic; Anil Kumar; Mercedes Torres‐Jiménez. A novel fuzzy hybrid neutrosophic decision‐making approach for the resilient supplier selection problem. International Journal of Intelligent Systems 2020, 35, 1934 -1986.

AMA Style

Dragan Pamucar, Morteza Yazdani, Radojko Obradovic, Anil Kumar, Mercedes Torres‐Jiménez. A novel fuzzy hybrid neutrosophic decision‐making approach for the resilient supplier selection problem. International Journal of Intelligent Systems. 2020; 35 (12):1934-1986.

Chicago/Turabian Style

Dragan Pamucar; Morteza Yazdani; Radojko Obradovic; Anil Kumar; Mercedes Torres‐Jiménez. 2020. "A novel fuzzy hybrid neutrosophic decision‐making approach for the resilient supplier selection problem." International Journal of Intelligent Systems 35, no. 12: 1934-1986.

Journal article
Published: 30 May 2020 in Symmetry
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The hospital location selection problem is one of the most important decisions in the healthcare sector in big cities due to population growth and the possibility of a high number of daily referred patients. A poor location selection process can lead to many issues for the health workforce and patients, and it can result in many unnecessary costs for the healthcare systems. The COVID-19 outbreak had a noticeable effect on people’s lives and the service quality of hospitals during recent months. The hospital location selection problem for infected patients with COVID-19 turned out to be one of the most significant and complicated decisions with many uncertain involved parameters for healthcare sectors in countries with high cases. In this study, a gray-based decision support framework using criteria importance through inter-criteria correlation (CRITIC) and combined compromise solution (CoCoSo) methods is proposed for location selection of a temporary hospital for COVID-19 patients. A case study is performed for Istanbul using the proposed decision-making framework.

ACS Style

Sarfaraz Hashemkhani Zolfani; Morteza Yazdani; Ali Ebadi Torkayesh; Arman Derakhti. Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic. Symmetry 2020, 12, 886 .

AMA Style

Sarfaraz Hashemkhani Zolfani, Morteza Yazdani, Ali Ebadi Torkayesh, Arman Derakhti. Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic. Symmetry. 2020; 12 (6):886.

Chicago/Turabian Style

Sarfaraz Hashemkhani Zolfani; Morteza Yazdani; Ali Ebadi Torkayesh; Arman Derakhti. 2020. "Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic." Symmetry 12, no. 6: 886.

Journal article
Published: 25 January 2020 in Expert Systems with Applications
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Logistics centers are those areas where all the national and international logistics and transportation operations are managed and directed to various business operations. One of the essential elements of an urban development system is to identify the appropriate location for a logistics center. In practice, the issue of evaluating and selecting the most suitable geographical area for a logistics center is considered as a complex decision making problem that can be well formulated through analytical and mathematical models. An exhaustive review of literature indicates that no concrete study has still proposed any integrated evaluation approach for logistics center selection. Thus, this paper aims in developing a two-stage decision making model to find out the most preferred zone in the autonomous communities of Spain for establishment of logistics centers. In the first stage, the considered communities are compared based on five evaluation criteria using data envelopment analysis (DEA) to identify the efficient and inefficient alternatives. In the second stage, a model is designed to evaluate the performance of the efficient communities using rough full consistency (R-FUCOM) and combined compromise solution (R-CoCoSo) methods. The adopted model allows capturing the uncertainty and vagueness in the decision makers’ judgments as involved in the evaluation process with the use of rough set theory (RST). The R-FUCOM method is utilized to obtain the optimal weights of the criteria, while R-CoCoSo method is finally used to rank the efficient communities. In addition, sensitivity analyses are performed to validate the robustness of the derived results.

ACS Style

Morteza Yazdani; Prasenjit Chatterjee; Dragan Pamucar; Shankar Chakraborty. Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities. Expert Systems with Applications 2020, 148, 113208 .

AMA Style

Morteza Yazdani, Prasenjit Chatterjee, Dragan Pamucar, Shankar Chakraborty. Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities. Expert Systems with Applications. 2020; 148 ():113208.

Chicago/Turabian Style

Morteza Yazdani; Prasenjit Chatterjee; Dragan Pamucar; Shankar Chakraborty. 2020. "Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities." Expert Systems with Applications 148, no. : 113208.

Chapter
Published: 01 January 2020 in Advances in Logistics, Operations, and Management Science
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Sustainability in industrial organizations has become a predominant concept in the 21st century due to environmental regulations, economic importance, and social obligations. In this context, sustainable supplier selection plays an epochal role for taking strategic business decisions. So, a systematic approach is required to deal with the sustainable factors. By integrating the three pillars of sustainability, namely economic, environmental, and social factors, this chapter presents an integrated model for supplier selection from a sustainability perspective. The proposed framework combines analytic hierarchy process (AHP) and quality function deployment (QFD) methods to deal with the sustainable criteria. Finally, suppliers are ranked using VIse Kriterijumska Optimizacija kompromisno Resenja (VIKOR) method. The proposed framework is used to analyze a case study of a dairy company, but it can also be implemented for sustainable supplier selection in any industries. The study brings an artefact for managers to effectively analyze suppliers with the integrated decision-making model.

ACS Style

Morteza Yazdani; Prasenjit Chatterjee; Ali Ebadi Torkayesh. An Integrated AHP-QFD-Based Compromise Ranking Model for Sustainable Supplier Selection. Advances in Logistics, Operations, and Management Science 2020, 32 -54.

AMA Style

Morteza Yazdani, Prasenjit Chatterjee, Ali Ebadi Torkayesh. An Integrated AHP-QFD-Based Compromise Ranking Model for Sustainable Supplier Selection. Advances in Logistics, Operations, and Management Science. 2020; ():32-54.

Chicago/Turabian Style

Morteza Yazdani; Prasenjit Chatterjee; Ali Ebadi Torkayesh. 2020. "An Integrated AHP-QFD-Based Compromise Ranking Model for Sustainable Supplier Selection." Advances in Logistics, Operations, and Management Science , no. : 32-54.

Journal article
Published: 13 August 2019 in International Journal of Production Research
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ACS Style

Morteza Yazdani; Dragan Pamucar; Prasenjit Chatterjee; Shankar Chakraborty. Development of a decision support framework for sustainable freight transport system evaluation using rough numbers. International Journal of Production Research 2019, 58, 4325 -4351.

AMA Style

Morteza Yazdani, Dragan Pamucar, Prasenjit Chatterjee, Shankar Chakraborty. Development of a decision support framework for sustainable freight transport system evaluation using rough numbers. International Journal of Production Research. 2019; 58 (14):4325-4351.

Chicago/Turabian Style

Morteza Yazdani; Dragan Pamucar; Prasenjit Chatterjee; Shankar Chakraborty. 2019. "Development of a decision support framework for sustainable freight transport system evaluation using rough numbers." International Journal of Production Research 58, no. 14: 4325-4351.

Journal article
Published: 05 July 2019 in Sustainability
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Consumer preferences in sustaining and designing a product are a vital driver in a company’s long-term strategy. In a supply chain management (SCM), realizing, configuring and analyzing consumer point of view and making sure the product is highly fitted to the consumer dimensions are essential responsibilities. For this purpose, a sustainable supply chain (SSC) can define a platform in order to reach consumer satisfaction. This paper examines the utility and factors related to the use of a phone in the market incorporating sustainable attributes. We firstly identify main factors and indicators that influence the selection of a sustainable phone. Thereafter, we propose decision analysis tools as decision-making trial and evaluation laboratory (DEMATEL) and analytical hierarchy process (AHP) for the realization of the cause, effect, and interrelation of the indicators. The comparisons between them report a high similarity while best and worst indicators are in the same positions. Best worst method (BWM) is then formulated in order to achieve optimal ranking and to express the importance. Counting on this information is of special relevance in marketing decision-making, where companies must look for competitive advantages prioritizing its product attributes, attending both to resources and to consumer preferences. For this project, we invited six experts in various areas (information science, consumer organizations, fair trade, public administration-cooperation office and telecommunication) to participate and fill the questionnaires. The results are analyzed by market experts in terms of comparison and conformity.

ACS Style

Morteza Yazdani; Prasenjit Chatterjee; Maria Jose Montero-Simo; Rafael A. Araque-Padilla. An Integrated Multi-Attribute Model for Evaluation of Sustainable Mobile Phone. Sustainability 2019, 11, 3704 .

AMA Style

Morteza Yazdani, Prasenjit Chatterjee, Maria Jose Montero-Simo, Rafael A. Araque-Padilla. An Integrated Multi-Attribute Model for Evaluation of Sustainable Mobile Phone. Sustainability. 2019; 11 (13):3704.

Chicago/Turabian Style

Morteza Yazdani; Prasenjit Chatterjee; Maria Jose Montero-Simo; Rafael A. Araque-Padilla. 2019. "An Integrated Multi-Attribute Model for Evaluation of Sustainable Mobile Phone." Sustainability 11, no. 13: 3704.

Journal article
Published: 31 May 2019 in Kybernetes
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Purpose Supply chain (SC) environment is surrounded by risk variables. This issue is regarded as an emerging and strategic problem which must be resolved by SC executives. The ability to measuring green supplier’s performance and affecting risk variables to demonstrating effective suppliers list has a potential contribution to be investigated. This paper aims to develop a decision-making model to assess green suppliers under legislation and risk factors. This leads to fewer disruptions in managing the SC and its impact to further improvement. It also presents research concepts forming a new approach for identification, prediction and understating relationship of supply risk. Design/methodology/approach At primal stage, different risk factors that influence green suppliers’ performance are indicated and their relationship is analyzed using decision-making trial and evaluation laboratory (DEMATEL) method. At the same time, failure mode and effect analysis is used to determine risk rating of each supplier. Finally, the evaluation based on distance from average solution (EDAS) method ranks suppliers and several comparisons and analysis are performed to test the stability of the results. The approaches include comparison to technique for order performance by similarity to ideal solution, multi-attributive border approximation area comparison, Vlse Kriterijumska Optimizacija I Kompromisno Resenje and complex proportional assessment methods, followed by analysis of rank reversal, weight sensitivity analysis and effect of dynamic metrics. Findings A real-time case study on green supplier selection (GSS) problem of a reputed construction company of Spain has been presented to demonstrate the practical aspects of the proposed method. In practice, though organizations are aware of various risks from local and global suppliers, it is difficult to incorporate these risk factors for ranking the suppliers. This real-case application shows the evaluation and incorporation of risk factors into the supplier selection model. Practical implications The proposed multi-criteria decision model quantitatively aids managers in selecting green suppliers considering risk factors. Originality/value A new model has been developed to present a sound mathematical model for solving GSS problems which considers the interaction between the supplier selection risk factors by proposing an integrated analytical approach for selecting green suppliers strategically consisting of DEMATEL, FMEA and EDAS methods.

ACS Style

Morteza Yazdani; Prasenjit Chatterjee; Dragan Pamucar; Manuel Doval Abad. A risk-based integrated decision-making model for green supplier selection. Kybernetes 2019, 49, 1229 -1252.

AMA Style

Morteza Yazdani, Prasenjit Chatterjee, Dragan Pamucar, Manuel Doval Abad. A risk-based integrated decision-making model for green supplier selection. Kybernetes. 2019; 49 (4):1229-1252.

Chicago/Turabian Style

Morteza Yazdani; Prasenjit Chatterjee; Dragan Pamucar; Manuel Doval Abad. 2019. "A risk-based integrated decision-making model for green supplier selection." Kybernetes 49, no. 4: 1229-1252.

Book chapter
Published: 01 January 2019 in Advances in Environmental Engineering and Green Technologies
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The aim of this chapter is to develop a hybrid decision-making framework for studying the risk issues related to failure of an industrial system. On the basis of plant expert's knowledge, failure mode effect analysis (FMEA) sheet has been generated and various failure causes associated with the sub-systems were listed. On the basis of three risk factors, namely probability of occurrence of failure, severity and non-detection (, and ), Risk Priority Numbers (RPN) for each failure cause has been tabulated. The demerits of FMEA approach in prioritizing the failure causes has been overcome by implementing fuzzy rule-based tool. The consistency and heftiness of the ranking results have been tested by implementing grey relation analysis (GRA) approach. Comparison of ranking results has been done for effective decision making of ranking results. The accuracy of decision results would be highly useful in developing a planned maintenance policy for the plant. The proposed framework has been tested with its application on a cooling tower system of a thermal power plant located in the northern part of India.

ACS Style

Dilbagh Panchal; Prasenjit Chatterjee; Morteza Yazdani; Shankar Chakraborty. A Hybrid MCDM Approach-Based Framework for Operational Sustainability of Process Industry. Advances in Environmental Engineering and Green Technologies 2019, 1 -13.

AMA Style

Dilbagh Panchal, Prasenjit Chatterjee, Morteza Yazdani, Shankar Chakraborty. A Hybrid MCDM Approach-Based Framework for Operational Sustainability of Process Industry. Advances in Environmental Engineering and Green Technologies. 2019; ():1-13.

Chicago/Turabian Style

Dilbagh Panchal; Prasenjit Chatterjee; Morteza Yazdani; Shankar Chakraborty. 2019. "A Hybrid MCDM Approach-Based Framework for Operational Sustainability of Process Industry." Advances in Environmental Engineering and Green Technologies , no. : 1-13.

Chapter
Published: 01 January 2019 in Advances in Environmental Engineering and Green Technologies
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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.

ACS Style

Tapas Kumar Biswas; Željko Stević; Prasenjit Chatterjee; Morteza Yazdani. An Integrated Methodology for Evaluation of Electric Vehicles Under Sustainable Automotive Environment. Advances in Environmental Engineering and Green Technologies 2019, 41 -62.

AMA Style

Tapas Kumar Biswas, Željko Stević, Prasenjit Chatterjee, Morteza Yazdani. An Integrated Methodology for Evaluation of Electric Vehicles Under Sustainable Automotive Environment. Advances in Environmental Engineering and Green Technologies. 2019; ():41-62.

Chicago/Turabian Style

Tapas Kumar Biswas; Željko Stević; Prasenjit Chatterjee; Morteza Yazdani. 2019. "An Integrated Methodology for Evaluation of Electric Vehicles Under Sustainable Automotive Environment." Advances in Environmental Engineering and Green Technologies , no. : 41-62.

Chapter
Published: 27 September 2018 in Green Organic Reactions
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The importance of technology in modern companies is literally growing. Technology protects the natural environment and acts as catalyst toward a more productive economy. Technology development has been the most demanding activity in industrial sectors over years and technology selection and implementation is one of the acknowledged projects in many companies. There are many factors influencing the problem of evaluating and choosing a new technology. Therefore, manufacturing operation managers are involved in a decision-making system with conflicting elements in their selection process. In this condition, application of multi-attribute decision-making (MADM) tools is highly recommended. This study examines the utilization of analytic hierarchy process and an adopted MADM method named CoCoSo to simultaneously determine the importance of decision factors and obtain the optimal ranking. At the final stage, we configure a sensitivity analysis to check and examine the accuracy of the results and performance of the present decision system. The study corresponds to a case study of choosing best packaging technology for a dairy company.

ACS Style

Morteza Yazdani; Prasenjit Chatterjee. Intelligent Decision Making Tools in Manufacturing Technology Selection. Green Organic Reactions 2018, 113 -126.

AMA Style

Morteza Yazdani, Prasenjit Chatterjee. Intelligent Decision Making Tools in Manufacturing Technology Selection. Green Organic Reactions. 2018; ():113-126.

Chicago/Turabian Style

Morteza Yazdani; Prasenjit Chatterjee. 2018. "Intelligent Decision Making Tools in Manufacturing Technology Selection." Green Organic Reactions , no. : 113-126.

Journal article
Published: 11 August 2018 in Expert Systems with Applications
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This paper proposes a multi attribute decision support model in a supply chain in order to solve complex decision problems. The paper provides a platform to ease decision process through the integration of quality function deployment (QFD) and grey relational analysis (GRA) in demonstrating main supply chain drivers under fuzzy environment. The proposed method is important because of several points: First of all, in a supply chain system, evaluation factors are not really independent and must be addressed in relation to the external factors such as customer requirements. Hence, we have applied QFD tool. Second, due to the constant uncertainty in the supply chain environment, fuzziness among the factors has to be considered. So, an interval valued fuzzy model was implemented. Third, to examine the proposed decision system in reality, it was applied in Risk and Uncertain Conditions for Agriculture Production Systems (RUC-APS) project. An integrated version of QFD and GRA is presented. It is assumed that QFD can act to measure optimal solutions based on the distance to ideal solutions. In an interval-valued fuzzy environment the enormous volume of computation by Euclidean distance doesn't allow decision makers to obtain the results easily. This drawback is addressed using gray relational analysis. The gray relational coefficient is integrated to the fuzzy QFD to measure the distance of potential solutions from ideal solutions. This integration facilitates decision making process in further problems once big data are available. To obtain the importance degrees of logistic indicators in the supply chain, expert team considered the environmental, social & cultural, and economic factors as external dimension of the QFD. The other dimension of QFD includes supply chain drivers such as quality, environmental management system, supply chain flexibility, corporate social responsibility, transportation service condition, and financial stability. The decision model is solved and the ranking of indicators is achieved. A sensitivity analysis helps to test and check the performance of the decision model.

ACS Style

Morteza Yazdani; Cengiz Kahraman; Pascale Zarate; Sezi Cevik Onar. A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis. Expert Systems with Applications 2018, 115, 474 -485.

AMA Style

Morteza Yazdani, Cengiz Kahraman, Pascale Zarate, Sezi Cevik Onar. A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis. Expert Systems with Applications. 2018; 115 ():474-485.

Chicago/Turabian Style

Morteza Yazdani; Cengiz Kahraman; Pascale Zarate; Sezi Cevik Onar. 2018. "A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis." Expert Systems with Applications 115, no. : 474-485.

Focus
Published: 21 March 2018 in Soft Computing
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The process of criteria prioritization and weighting is an important part of multiple attributes decision making. The most frequently applied multi-attribute decision-making weighting tools include analytical hierarchy process, stepwise weight assessment ratio analysis, factor relationship, and best–worst method. When policies are at the core of decision making, stepwise weight assessment ratio analysis method is the most efficient method for criteria evaluation. It involves two important steps: the first is to prioritize the criteria by consulting experts, while the second is the weighting process. This research seeks to extend stepwise weight assessment ratio analysis to improve the quality of the decision-making process by incorporating the reliability evaluation of experts’ idea into the first step. Such a component is absent from the first step in all other similar models. Thus, an extended version of stepwise weight assessment ratio analysis can be applied for such evaluation. To test the applicability and performance of the proposed method, a numerical example from an earlier study was used. The proposed version can replace the classic version in future studies as an improved method in decision-making area.

ACS Style

Sarfaraz Hashemkhani Zolfani; Morteza Yazdani; Edmundas Kazimieras Zavadskas. An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Computing 2018, 22, 7399 -7405.

AMA Style

Sarfaraz Hashemkhani Zolfani, Morteza Yazdani, Edmundas Kazimieras Zavadskas. An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Computing. 2018; 22 (22):7399-7405.

Chicago/Turabian Style

Sarfaraz Hashemkhani Zolfani; Morteza Yazdani; Edmundas Kazimieras Zavadskas. 2018. "An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process." Soft Computing 22, no. 22: 7399-7405.

Journal article
Published: 01 March 2018 in Alexandria Engineering Journal
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Environmental issues have got incredible attention among daily life activities. Sustainability penetrated in all society practices specially construction industry due to its substantial impact on the environment. Monitoring and controlling architectural project contains a decision problem with multi-varieties analysis. This study aimed to evaluate construction projects of hotels regarding environmental sustainability. To this end, a hybrid Multiple Criteria Decision Making (MCDM) model is proposed. Step‐wise Weight Assessment Ratio Analysis (SWARA) and Complex proportional assessment (COPRAS) compose a unified framework. A private construction project is supposed as a case study. The project is based on establishing a five star hotel in Tehran, Iran. In this research SWARA produces criteria weights and COPRAS will rank decision alternatives. This study can be a strategic route for other similar researches in other fields.SIN FINANCIACIÓN0.581 SJR (2016) Q1, 65/518 Engineering (miscellaneous)UE

ACS Style

Sarfaraz Hashemkhani Zolfani; Morteza Pourhossein; Morteza Yazdani; Edmundas Kazimieras Zavadskas. Evaluating construction projects of hotels based on environmental sustainability with MCDM framework. Alexandria Engineering Journal 2018, 57, 357 -365.

AMA Style

Sarfaraz Hashemkhani Zolfani, Morteza Pourhossein, Morteza Yazdani, Edmundas Kazimieras Zavadskas. Evaluating construction projects of hotels based on environmental sustainability with MCDM framework. Alexandria Engineering Journal. 2018; 57 (1):357-365.

Chicago/Turabian Style

Sarfaraz Hashemkhani Zolfani; Morteza Pourhossein; Morteza Yazdani; Edmundas Kazimieras Zavadskas. 2018. "Evaluating construction projects of hotels based on environmental sustainability with MCDM framework." Alexandria Engineering Journal 57, no. 1: 357-365.