This page has only limited features, please log in for full access.

Dr. Prasenjit Chaterjee
Department of Mechanical Engineering, MCKV Institute of Engineering, West Bengal, India

Basic Info

Basic Info is private.

Research Keywords & Expertise

0 fuzzy
0 multi-criteria decision-making (mcdm)
0 Manufacturing process optimization
0 Sustainability modelling
0 Multi-objective decision-making (MODM)

Fingerprints

fuzzy

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Article
Published: 30 June 2021 in Operations Management Research
Reads 0
Downloads 0

Supplier selection in food supply chains (FSCs) is not much explored due to the inherent difficulties, complexities and nature of food industry. Food security and quality are top row topics in today’s world health scenario. During sudden food crisis, it needs extra attention where producers, suppliers, and stakeholders play the most vital roles. This paper puts forward a two-phase sustainable multi-tier supplier selection model for FSC based on an integrated decision analysis under multi-criteria perspectives considering sustainability criteria, suppliers and sub-suppliers. In the first phase, the model estimates supplier selection criteria weights using a combined version of step-wise weight assessment ratio analysis (SWARA) and level based weight assessment (LBWA) in conjunction with D-numbers. In the second phase, Measurement of Alternatives and Ranking according to the COmpromise Solution (MARCOS)-D method is applied to obtain a ranking pre-order of different tier suppliers. Moreover, several sensitivity analyses are carried out in order to examine model reliability. To check application practicability, the proposed model is implemented in a case study of WineSol Corporation in Spain. The proposed model is expected to serve as a kickoff point for developing advanced decision-making models for effectually address multi-tier supplier selection problems under uncertain environment.

ACS Style

Morteza Yazdani; Dragan Pamucar; Prasenjit Chatterjee; Ali Ebadi Torkayesh. “A multi-tier sustainable food supplier selection model under uncertainty”. Operations Management Research 2021, 1 -30.

AMA Style

Morteza Yazdani, Dragan Pamucar, Prasenjit Chatterjee, Ali Ebadi Torkayesh. “A multi-tier sustainable food supplier selection model under uncertainty”. Operations Management Research. 2021; ():1-30.

Chicago/Turabian Style

Morteza Yazdani; Dragan Pamucar; Prasenjit Chatterjee; Ali Ebadi Torkayesh. 2021. "“A multi-tier sustainable food supplier selection model under uncertainty”." Operations Management Research , no. : 1-30.

Journal article
Published: 11 June 2021 in Expert Systems with Applications
Reads 0
Downloads 0

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.

Journal article
Published: 10 June 2021 in Journal of Cleaner Production
Reads 0
Downloads 0

Oil in casting industries is one of the major sources of environmental pollution as its burning directly results in the emission of toxic gases such as carbon monoxide (CO), carbon dioxide (CO2), nitrogen dioxide (NO2), sulphur dioxide (SO2) and suspended particulate matters (SPM). The aim of this work is to select the best sustainable oil for a cleaner and environment friendly production system in small scale casting industries of Agra city located in India. Performance, quality and cost are considered as the most influential parameters, while jatropha, vegetable oil, karanja oil and light diesel oil are considered as the alternatives. A novel integrated three phase decision-making framework is proposed, encompassing fuzzy analytical hierarchy process (FAHP), fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) and fuzzy evaluation based on distance from average solution (FEDAS) methods. FAHP is implemented for computing weights of the considered criteria and sub-criteria. These weights are subsequently used in FTOPSIS and FEDAS methods to derive ranking of the considered oils. Light diesel oil emerges out as the best oil under the considered criteria with the highest closeness coefficient (0.9807) and appraisal score (0.6683) values. For validating the results of the proposed decision framework, sensitivity analysis (SA) has been performed. From the twelve experiments of SA, it is observed that light diesel oil retained its highest score in nine experiments which substantiate its top priority as well as FTOPSIS and FEDAS-based results.

ACS Style

Dilbagh Panchal; Prasenjit Chatterjee; Rohit Sharma; Rajiv Kumar Garg. Sustainable oil selection for cleaner production in Indian foundry industries: A three phase integrated decision-making framework. Journal of Cleaner Production 2021, 313, 127827 .

AMA Style

Dilbagh Panchal, Prasenjit Chatterjee, Rohit Sharma, Rajiv Kumar Garg. Sustainable oil selection for cleaner production in Indian foundry industries: A three phase integrated decision-making framework. Journal of Cleaner Production. 2021; 313 ():127827.

Chicago/Turabian Style

Dilbagh Panchal; Prasenjit Chatterjee; Rohit Sharma; Rajiv Kumar Garg. 2021. "Sustainable oil selection for cleaner production in Indian foundry industries: A three phase integrated decision-making framework." Journal of Cleaner Production 313, no. : 127827.

Research article
Published: 31 May 2021 in International Journal of Intelligent Systems
Reads 0
Downloads 0

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.

Research article
Published: 29 May 2021 in Mathematical Problems in Engineering
Reads 0
Downloads 0

In a turning operation, involving removal of material from the outer diameter of a rotating cylindrical workpiece using a single-point cutting tool, there exist complex relationships between various cutting parameters and responses. In this paper, a turning operation under dry environment is considered with cutting speed, feed rate, and depth of cut as the input parameters, as well as material removal rate, average surface roughness, and cutting force as the responses. Dry turning operation reduces energy consumption and machining cost, thus eventually resulting in sustainable machining. For the considered process, the corresponding response values are envisaged using four prediction models, that is, multivariate regression analysis, fuzzy logic, artificial neural network, and adaptive neurofuzzy inference system (ANFIS), and their prediction performance is contrasted using five statistical metrics, that is, root mean squared percent error, mean absolute percentage error, root mean squared log error, correlation coefficient, and root relative squared error. It is noticed that ANFIS model consisting of the advantages features of both fuzzy logic and neural network outperforms the other prediction models with respect to the computed values of the considered statistical measures. Based on their acceptable values, it can be propounded that the ANFIS model can be effectively employed for prediction of process responses while treating different machining parameters as the input variables.

ACS Style

Shibaprasad Bhattacharya; Partha Protim Das; Prasenjit Chatterjee; Shankar Chakraborty. Prediction of Reponses in a Sustainable Dry Turning Operation: A Comparative Analysis. Mathematical Problems in Engineering 2021, 2021, 1 -15.

AMA Style

Shibaprasad Bhattacharya, Partha Protim Das, Prasenjit Chatterjee, Shankar Chakraborty. Prediction of Reponses in a Sustainable Dry Turning Operation: A Comparative Analysis. Mathematical Problems in Engineering. 2021; 2021 ():1-15.

Chicago/Turabian Style

Shibaprasad Bhattacharya; Partha Protim Das; Prasenjit Chatterjee; Shankar Chakraborty. 2021. "Prediction of Reponses in a Sustainable Dry Turning Operation: A Comparative Analysis." Mathematical Problems in Engineering 2021, no. : 1-15.

Journal article
Published: 06 March 2021 in Socio-Economic Planning Sciences
Reads 0
Downloads 0

In this study, an integrated multi-criteria framework is developed to evaluate a healthcare sector which is one of the main infrastructures for any country. Healthcare sector plays a significant role in economic development and social sustainability of countries. To improve performance of healthcare sectors, it is essentially required to evaluate the healthcare systems based on their specific characteristics in order to resolve their performance related issues based on sustainable development principles under social aspect. For this purpose, the proposed integrated framework applies a novel hybrid weight determination model using best-worst method (BWM) and level based weight assessment (LBWA) to determine the weights of healthcare indicators and subsequently, combined compromise solution (CoCoSo) method is further applied to evaluate healthcare performances of several countries according to the pre-determined indicator weights. To show applicability of the proposed framework, a real time case study for seven countries in Eastern Europe is considered based on the data set of Organisation for Economic Co-operation and Development (OECD). Results show that Lithuania and Slovakia have the best healthcare systems in comparison to countries like Poland and Estonia.

ACS Style

Ali Ebadi Torkayesh; Dragan Pamucar; Fatih Ecer; Prasenjit Chatterjee. An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe. Socio-Economic Planning Sciences 2021, 101052 .

AMA Style

Ali Ebadi Torkayesh, Dragan Pamucar, Fatih Ecer, Prasenjit Chatterjee. An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe. Socio-Economic Planning Sciences. 2021; ():101052.

Chicago/Turabian Style

Ali Ebadi Torkayesh; Dragan Pamucar; Fatih Ecer; Prasenjit Chatterjee. 2021. "An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe." Socio-Economic Planning Sciences , no. : 101052.

Journal article
Published: 01 January 2021 in Vojnotehnicki glasnik
Reads 0
Downloads 0

Introduction/purpose: The paper presents a model for the selection of a route for the transport of hazardous materials using fuzzy logic systems, as a type of artificial intelligence systems. The system presented in the paper is a system for assistance in the decisionmaking process of the traffic service authorities when choosing one of several possible routes on a particular path when transporting hazardous materials. Methods: The route evaluation is performed on the basis of five criteria. Each input variable is represented by three membership functions, and the output variable is defined by five membership functions. All rules in a fuzzy logic system are determined by applying the method of weight premise aggregation (ATPP), which allows the formation of a database based on experience and intuition. Based on the number of input variables and the number of their membership functions, the basic base of 243 rules is defined. Three experts from the Ministry of Defense were interviewed to determine the weighting coefficients of the membership functions, and the values of the coefficients were determined using the Full Consistency Method (FUCOM). Results: A user program which enables the practical application of this model has been created for the developed fuzzy logic system. Conclusion: The user platform was developed in the Matlab 2008b software package.

ACS Style

Teodora D. Milošević; Dragan S. Pamučar; Prasenjit Chatterjee. Model for selecting a route for the transport of hazardous materials using a fuzzy logic system. Vojnotehnicki glasnik 2021, 69, 355 -390.

AMA Style

Teodora D. Milošević, Dragan S. Pamučar, Prasenjit Chatterjee. Model for selecting a route for the transport of hazardous materials using a fuzzy logic system. Vojnotehnicki glasnik. 2021; 69 (2):355-390.

Chicago/Turabian Style

Teodora D. Milošević; Dragan S. Pamučar; Prasenjit Chatterjee. 2021. "Model for selecting a route for the transport of hazardous materials using a fuzzy logic system." Vojnotehnicki glasnik 69, no. 2: 355-390.

Journal article
Published: 11 October 2020 in Facta Universitatis, Series: Mechanical Engineering
Reads 0
Downloads 0

In the present work, multi-response optimization of electro-discharge machining (EDM) process is carried out based on an experimental analysis of machining superalloy Inconel-718. The study aims at optimizing and determining an optimal set of process variables, namely discharge current (), pulse-on duration () and dielectric fluid-pressure () for achieving optimal machining performance in EDM. Nine independent experiments based on L9 orthogonal array are carried out by using tungsten as the electrode. The productivity performance of the EDM process is measured in terms of material removal rate (MRR) and its cost parameter is measured in terms of tool wear rate (TWR) and electrode wear rate (EWR). The TOPSIS is used in conjunction with five different criterion weight allocation strategies— (namely, mean weight (MW), standard deviation (SDV), entropy, analytic hierarchy process (AHP) and Fuzzy). While MW, SDV and entropy are based on the objective evaluation of the decision-maker (DM), the AHP can model the DM’s subjective evaluation. On the other hand, the uncertainty in the DM’s evaluation is analyzed by using the fuzzy weighing approach.

ACS Style

Ankit Singh; Ranjan Kumar Ghadai; Kanak Kalita; Prasenjit Chatterjee; Dragan Pamučar. EDM PROCESS PARAMETER OPTIMIZATION FOR EFFICIENT MACHINING OF INCONEL-718. Facta Universitatis, Series: Mechanical Engineering 2020, 18, 473 -490.

AMA Style

Ankit Singh, Ranjan Kumar Ghadai, Kanak Kalita, Prasenjit Chatterjee, Dragan Pamučar. EDM PROCESS PARAMETER OPTIMIZATION FOR EFFICIENT MACHINING OF INCONEL-718. Facta Universitatis, Series: Mechanical Engineering. 2020; 18 (3):473-490.

Chicago/Turabian Style

Ankit Singh; Ranjan Kumar Ghadai; Kanak Kalita; Prasenjit Chatterjee; Dragan Pamučar. 2020. "EDM PROCESS PARAMETER OPTIMIZATION FOR EFFICIENT MACHINING OF INCONEL-718." Facta Universitatis, Series: Mechanical Engineering 18, no. 3: 473-490.

Journal article
Published: 21 June 2020 in Mathematics
Reads 0
Downloads 0

Multi-attribute decision-making (MADM) methods represent reliable ways to solve real-world problems for various applications by providing rational and logical solutions. In reaching such a goal, it is expected that MADM methods would eliminate inconsistencies like rank reversal issues in a given solution. In this paper, an endeavor is taken to put forward a new MADM method, called RAFSI (Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval), which successfully eliminates the rank reversal problem. The developed RAFSI method has three major advantages that recommend it for further use: (i) its simple algorithm helps in solving complex real-world problems, (ii) RAFSI method has a new approach for data normalization, which transfers data from the starting decision-making matrix into any interval, suitable for making rational decisions, (iii) mathematical formulation of RAFSI method eliminates the rank reversal problem, which is one of the most significant shortcomings of existing MADM methods. A real-time case study that shows the advantages of RAFSI method is presented. Additional comprehensive analysis, including a comparison with other three traditional MADM methods that use different ways for data normalization and testing the resistance of RAFSI method and other MADM methods to rank the reversal problem, is also carried out.

ACS Style

Mališa Žižović; Dragan Pamučar; Miloljub Albijanić; Prasenjit Chatterjee; Ivan Pribićević. Eliminating Rank Reversal Problem Using a New Multi-Attribute Model—The RAFSI Method. Mathematics 2020, 8, 1015 .

AMA Style

Mališa Žižović, Dragan Pamučar, Miloljub Albijanić, Prasenjit Chatterjee, Ivan Pribićević. Eliminating Rank Reversal Problem Using a New Multi-Attribute Model—The RAFSI Method. Mathematics. 2020; 8 (6):1015.

Chicago/Turabian Style

Mališa Žižović; Dragan Pamučar; Miloljub Albijanić; Prasenjit Chatterjee; Ivan Pribićević. 2020. "Eliminating Rank Reversal Problem Using a New Multi-Attribute Model—The RAFSI Method." Mathematics 8, no. 6: 1015.

Conference paper
Published: 04 May 2020 in Materials Today: Proceedings
Reads 0
Downloads 0

Since the last few decades, the use of light weight automotive is increasing day by day to reduce fuel consumption and vehicle emissions. Now days, the automotive industries are emphasizing more on the use of light weight environment friendly materials (LWEFMs) including aluminium, polymers, magnesium, steel blends and composites due to their several inherent advantages, environmental concerns, government regulations and consumer demand. Light weight metal alloys are much preferable for their low density and high specific strength, as well as other attractive characteristics like high corrosion resistance, dimensional stability, energy saving ability and sustainability. However, deciding on the most competent LWEFM for a distinct application considering multi-perspective criteria is not an easy task to perform and restrain a great challenge for the design engineers. On the other hand, improper material selection often leads to premature product failure with reduced efficiency and poor product performance, thereby negatively affecting the productivity, profitability and status of the organization. In this paper, a humble endeavour is taken to propose a novel and contemporary decision-making approach for LWEFM selection in which criteria weights are computed using the Entropy technique and ranking of the alternatives is determined by an almost unexplored multi-attributive ideal real comparative analysis (MAIRCA) method. Seventeen candidate materials are considered as alternatives for the evaluation with respect to thirteen criteria for an automotive application. It has been observed that Ultra High Strength Steel emerges out as the best material for the considered case study. Comparison with other existing well established methods has also been performed to prove the feasibility and validity of the proposed approach

ACS Style

Prasenjit Chatterjee; Nabankur Mandal; Sreerupa Dhar; Saikat Chatterjee; Shankar Chakraborty. A novel decision-making approach for light weight environment friendly material selection. Materials Today: Proceedings 2020, 22, 1460 -1469.

AMA Style

Prasenjit Chatterjee, Nabankur Mandal, Sreerupa Dhar, Saikat Chatterjee, Shankar Chakraborty. A novel decision-making approach for light weight environment friendly material selection. Materials Today: Proceedings. 2020; 22 ():1460-1469.

Chicago/Turabian Style

Prasenjit Chatterjee; Nabankur Mandal; Sreerupa Dhar; Saikat Chatterjee; Shankar Chakraborty. 2020. "A novel decision-making approach for light weight environment friendly material selection." Materials Today: Proceedings 22, no. : 1460-1469.

Journal article
Published: 04 March 2020 in Computers & Industrial Engineering
Reads 0
Downloads 0

Healthcare waste disposal management is one of the biggest day-to-day challenges faced by healthcare providers and urban municipalities. Poor management of healthcare waste can cause serious problems for healthcare workers, patients, and the general public. Healthcare providers and urban planners usually struggle with the action of locating an appropriate waste disposal center in a municipal area. Healthcare waste disposal location planning is a difficult task due to complexities inherent in the evaluation of alternative locations according to multiple and often competing criteria. We propose a new best-worst method with interval rough numbers (IRN) for healthcare waste disposal location decisions. A new IRN Dombi-Bonferroni (IRNDBM) means the operator is also introduced to process the rough data because of the unavailability of precise information. A case study at a private hospital in Madrid is presented to demonstrate the applicability and exhibit the efficacy of the proposed multi-criteria evaluation method.

ACS Style

Morteza Yazdani; Madjid Tavana; Dragan Pamučar; Prasenjit Chatterjee. A rough based multi-criteria evaluation method for healthcare waste disposal location decisions. Computers & Industrial Engineering 2020, 143, 106394 .

AMA Style

Morteza Yazdani, Madjid Tavana, Dragan Pamučar, Prasenjit Chatterjee. A rough based multi-criteria evaluation method for healthcare waste disposal location decisions. Computers & Industrial Engineering. 2020; 143 ():106394.

Chicago/Turabian Style

Morteza Yazdani; Madjid Tavana; Dragan Pamučar; Prasenjit Chatterjee. 2020. "A rough based multi-criteria evaluation method for healthcare waste disposal location decisions." Computers & Industrial Engineering 143, no. : 106394.

Journal article
Published: 25 January 2020 in Expert Systems with Applications
Reads 0
Downloads 0

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
Reads 0
Downloads 0

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.

Chapter
Published: 10 September 2019 in Green Organic Reactions
Reads 0
Downloads 0

Biomaterials are artificial or natural materials that substitute the impaired organic parts to fulfill the global medical requirements for improving resilience and quality of human life. Thus, it has become indispensable to select the most appropriate materials for various biomedical applications. In this chapter, a decision-making model integrating analytic hierarchy process (AHP) as well as combinative distance-based assessment (CODAS) techniques based on rough numbers has been developed for determining the performance scores of different biomaterials for a hip joint prosthesis application. Sensitivity analyses and comparative result analysis show an excellent performance of the integrated model against with respect to some well-established decision-making methods in terms of derived ranking patterns.

ACS Style

Dragan Pamucar; Prasenjit Chatterjee; Morteza Yazdani; Shankar Chakraborty. A Rough Decision-Making Model for Biomaterial Selection. Green Organic Reactions 2019, 227 -256.

AMA Style

Dragan Pamucar, Prasenjit Chatterjee, Morteza Yazdani, Shankar Chakraborty. A Rough Decision-Making Model for Biomaterial Selection. Green Organic Reactions. 2019; ():227-256.

Chicago/Turabian Style

Dragan Pamucar; Prasenjit Chatterjee; Morteza Yazdani; Shankar Chakraborty. 2019. "A Rough Decision-Making Model for Biomaterial Selection." Green Organic Reactions , no. : 227-256.

Book
Published: 18 August 2019 in Sustainability Modeling in Engineering
Reads 0
Downloads 0
ACS Style

Prasenjit Chatterjee; Morteza Yazdani; Shankar Chakraborty. Sustainability Modeling in Engineering. Sustainability Modeling in Engineering 2019, 1 .

AMA Style

Prasenjit Chatterjee, Morteza Yazdani, Shankar Chakraborty. Sustainability Modeling in Engineering. Sustainability Modeling in Engineering. 2019; ():1.

Chicago/Turabian Style

Prasenjit Chatterjee; Morteza Yazdani; Shankar Chakraborty. 2019. "Sustainability Modeling in Engineering." Sustainability Modeling in Engineering , no. : 1.

Journal article
Published: 13 August 2019 in International Journal of Production Research
Reads 0
Downloads 0
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: 19 July 2019 in Algorithms
Reads 0
Downloads 0

This paper deals with the modeling and optimization of a bi-level multi-objective production planning problem, where some of the coefficients of objective functions and parameters of constraints are multi-choice. A general transformation technique based on a binary variable has been used to transform the multi-choices parameters of the problem into their equivalent deterministic form. Finally, two different types of secularization technique have been used to achieve the maximum degree of individually membership goals by minimizing their deviational variables and obtained the most satisfactory solution of the formulated problem. An illustrative real case study of production planning has been discussed and, also compared to validate the efficiency and usefulness of the proposed work.

ACS Style

Murshid Kamal; Srikant Gupta; Prasenjit Chatterjee; Dragan Pamucar; Zeljko Stevic. Bi-Level Multi-Objective Production Planning Problem with Multi-Choice Parameters: A Fuzzy Goal Programming Algorithm. Algorithms 2019, 12, 143 .

AMA Style

Murshid Kamal, Srikant Gupta, Prasenjit Chatterjee, Dragan Pamucar, Zeljko Stevic. Bi-Level Multi-Objective Production Planning Problem with Multi-Choice Parameters: A Fuzzy Goal Programming Algorithm. Algorithms. 2019; 12 (7):143.

Chicago/Turabian Style

Murshid Kamal; Srikant Gupta; Prasenjit Chatterjee; Dragan Pamucar; Zeljko Stevic. 2019. "Bi-Level Multi-Objective Production Planning Problem with Multi-Choice Parameters: A Fuzzy Goal Programming Algorithm." Algorithms 12, no. 7: 143.

Journal article
Published: 05 July 2019 in Sustainability
Reads 0
Downloads 0

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: 10 June 2019 in Algorithms
Reads 0
Downloads 0

Blast-resistant buildings are mainly used to protect main instruments, controllers, expensive equipment, and people from explosion waves. Oil and gas industry projects almost always include blast-resistant buildings. For instance, based on a hazard identification (HAZID) and hazard and operability (HAZOP) analysis of a plant, control rooms and substations are sometimes designed to withstand an external free air explosion that generates blast over pressure. In this regard, a building façade is considered to be the first barrier of resistance against explosion waves, and therefore a building façade has an important role in reducing a building’s vulnerability and human casualties. In case of a lack of enough resistance, explosion waves enter a building and bring about irreparable damage to the building. Consequently, it seems important to study and evaluate various materials used in a façade against the consequences of an explosion. This study tried to make a comparison between different types of building facades against explosion waves. The materials used in a building play a key role in the vulnerability of a building. In this research, a literature review and the fuzzy Delphi method were applied to find the most critical criteria, and then a fuzzy evaluation based on the distance from the average solution (EDAS) was applied in order to assess various materials used in building facades from the perspective of resiliency. A questionnaire was presented to measure effective indices in order to receive experts’ ideas. Finally, by implementing this methodology in a case study, it was concluded that a stone façade performs much better against explosions.

ACS Style

Hamidreza Hasheminasab; Sarfaraz Hashemkhani Zolfani; Mahdi Bitarafan; Prasenjit Chatterjee; Alireza Abhaji Ezabadi. The Role of Façade Materials in Blast-Resistant Buildings: An Evaluation Based on Fuzzy Delphi and Fuzzy EDAS. Algorithms 2019, 12, 119 .

AMA Style

Hamidreza Hasheminasab, Sarfaraz Hashemkhani Zolfani, Mahdi Bitarafan, Prasenjit Chatterjee, Alireza Abhaji Ezabadi. The Role of Façade Materials in Blast-Resistant Buildings: An Evaluation Based on Fuzzy Delphi and Fuzzy EDAS. Algorithms. 2019; 12 (6):119.

Chicago/Turabian Style

Hamidreza Hasheminasab; Sarfaraz Hashemkhani Zolfani; Mahdi Bitarafan; Prasenjit Chatterjee; Alireza Abhaji Ezabadi. 2019. "The Role of Façade Materials in Blast-Resistant Buildings: An Evaluation Based on Fuzzy Delphi and Fuzzy EDAS." Algorithms 12, no. 6: 119.

Journal article
Published: 31 May 2019 in Kybernetes
Reads 0
Downloads 0

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.