Browsing by Author "Ram, Mangey"

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Citation - Scopus: 2
Advances in soft computing applications
(River Publishers, 2023) Shristi Kharola; Mangey Ram; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Kharola, Shristi; Ram, Mangey; Mangla, Sachin K.; Kazancoglu, Yigit
The proclivity of today's technology to think like humans may be seen in new developing disciplines such as neural computing fuzzy logic evolutionary computation machine learning and probabilistic reasoning. These strategies are grouped together into one main technique known as "soft computing." This book discusses the most recent soft computing and fuzzy logic-based applications and innovations in industrial advancements supply chain and logistics system optimization decision-making artificial intelligence smart systems and other rapidly evolving technologies. In today's competitive world the book provides soft computing solutions to help companies overcome the obstacles posed by sophisticated decision-making systems. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 8
Air quality management using genetic algorithm based heuristic fuzzy time series model
(EMERALD GROUP PUBLISHING LTD, 2023) Lalit Bhagat; Gunjan Goyal; Dinesh C. S. Bisht; Mangey Ram; Yigit Kazancoglu; Bhagat, Lalit; Ram, Mangey; Goyal, Gunjan; Bisht, Dinesh C.S.; Kazancoglu, Yigit
PurposeThe purpose of this paper is to provide a better method for quality management to maintain an essential level of quality in different fields like product quality service quality air quality etc.Design/methodology/approachIn this paper a hybrid adaptive time-variant fuzzy time series (FTS) model with genetic algorithm (GA) has been applied to predict the air pollution index. Fuzzification of data is optimized by GAs. Heuristic value selection algorithm is used for selecting the window size. Two algorithms are proposed for forecasting. First algorithm is used in training phase to compute forecasted values according to the heuristic value selection algorithm. Thus obtained sequence of heuristics is used for second algorithm in which forecasted values are selected with the help of defined rules.FindingsThe proposed model is able to predict AQI more accurately when an appropriate heuristic value is chosen for the FTS model. It is tested and evaluated on real time air pollution data of two popular tourism cities of India. In the experimental results it is observed that the proposed model performs better than the existing models.Practical implicationsThe management and prediction of air quality have become essential in our day-to-day life because air quality affects not only the health of human beings but also the health of monuments. This research predicts the air quality index (AQI) of a place.Originality/valueThe proposed method is an improved version of the adaptive time-variant FTS model. Further a nature-inspired algorithm has been integrated for the selection and optimization of fuzzy intervals.
Citation - WoS: 93
Citation - Scopus: 152
Analyzing Barriers of Circular Food Supply Chains and Proposing Industry 4.0 Solutions
(MDPI, 2021) Nesrin Ada; Yigit Kazancoglu; Muruvvet Deniz Sezer; Cigdem Ede-Senturk; Idil Ozer; Mangey Ram; Ozer, Idil; Sezer, Muruvvet Deniz; Ram, Mangey; Ede-Senturk, Cigdem; Kazancoglu, Yigit; Ada, Nesrin
The concept of the circular economy (CE) has gained importance worldwide recently since it offers a wider perspective in terms of promoting sustainable production and consumption with limited resources. However few studies have investigated the barriers to CE in circular food supply chains. Accordingly this paper presents a systematic literature review of 136 papers from 2010 to 2020 from WOS and Scopus databases regarding these barriers to understand CE implementation in food supply chains. The barriers are classified under seven categories: cultural business and business finance regulatory and governmental technological managerial supply-chain management knowledge and skills. The findings show the need to identify barriers preventing the transition to CE. The findings also indicate that these challenges to CE can be overcome through Industry 4.0 which includes a variety of technologies such as the Internet of Things (IoT) cloud technologies machine learning and blockchain. Specifically machine learning can offer support by making workflows more efficient through the forecasting and analytical capabilities of food supply chains. Blockchain and big data analytics can provide the necessary support to establish legal systems and improve environmental regulations since transparency is a crucial issue for taxation and incentives systems. Thus CE can be promoted via adequate laws policies and innovative technologies.
Citation - WoS: 63
Citation - Scopus: 77
Barriers to organic waste management in a circular economy
(ELSEVIER SCI LTD, 2022) Shristi Kharola; Mangey Ram; Nupur Goyal; Sachin Kumar Mangla; O. P. Nautiyal; Anita Rawat; Yigit Kazancoglu; Durgesh Pant; Kharola, Shristi; Pant, Durgesh; Nautiyal, O.P.; Ram, Mangey; Goyal, Nupur; Rawat, Anita; Mangla, Sachin Kumar
Organic waste disposal methods notably landfilling not only deplete resources but also contribute to environmental challenges. This research looks at potential barriers to organic waste management solutions. The objective of this study is to identify the barriers to organic waste management solutions from an actor's perspective and to explore their causal relationships to overcome the organic waste management problem from a system perspective. Several key challenges were identified regarding organic waste management solution the current intervention overview indicates that promoting and tracking attention towards value to waste would be an effective solution approach. Waste collection fees unethical behavior and a lack of engagement and commitment in activities show a subsequent effect on consumer-household solutions which are currently acting as priority barriers in this research. In order to have a better understanding of this complex issue a detailed knowledge of barriers (leading to organic waste) is discovered and evaluated with the application of fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL). The data for this research has been taken in the context of a developing economy like India. This work can provide structural support to the managers by knowing the cause (influencing) and effect-group (influencing) barriers to the effective implementation of an organic waste management system in a circular economy context.
Citation - WoS: 107
Citation - Scopus: 100
Building supply chain resilience in the era of COVID-19: An AHP-DEMATEL approach
(Springer, 2022) Debashree Das; Avik Datta; Patanjal Kumar; Yigit Kazancoglu; Mangey Ram; Kumar, Patanjal; Das, Debashree; Datta, Avik; Ram, Mangey; Kazancoglu, Yigit
COVID-19 pandemic is the worst humanitarian crisis that economies across the globe have witnessed. Forced lockdowns social distancing and restricted mobility have contributed to large scale disruptions in the supply chain network. The purpose of the paper is to identify critical factors affecting global supply chain and evaluate strategies for risk reduction in the supply chain network by making it resilient. Our study incorporates multi-criteria decision approach using Analytic Hierarchy Process (AHP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) to analyze factors that affected the supply chain networks with the onset of COVID-19. The AHP method enabled to hierarchically rank the factors based on the relative weightage while DEMATEL ascertained the inter-relationships among the factors and classified them into cause and effect groups. The findings of our study identified the cost–optimization as the most significant factor and the human resource management as the least important factor in reducing vulnerabilities of the supply chain network. Our analysis from DEMATEL approach indicate that government support is a significant causal factor which can effectively eliminate the issues plaguing supply chains during this pandemic. The results from our study aim to help policymakers in developing a risk resilient framework that can enhance performance and operational capability of the supply chain thereby ensuring sustainability and socio-economic well-being of all the stakeholders involved in the entire network. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 67
Citation - Scopus: 86
Exploring the green waste management problem in food supply chains: A circular economy context
(Elsevier Ltd, 2022) Shristi Kharola; Mangey Ram; Sachin Kumar Kumar Mangla; Nupur Goyal; Om Prakash Nautiyal; Durgesh Pant; Yigit Kazancoglu; Kharola, Shristi; Pant, Durgesh; Kumar Mangla, Sachin; Nautiyal, O.P.; Kazancoglu, Yigit; Ram, Mangey; Goyal, Nupur; Mangla, Sachin Kumar
Food waste management is a growing environmental and economic issue for a developing country like India. This exploratory paper aims to prioritize key practices as “criteria” for food supply chains that lead to food waste reduction to ensure green waste management. Twenty-five criteria from the existing literature and expert inputs were assessed to resolve food waste reduction issues in food supply chains especially in the agricultural sectors. The study identifies and ranks the intensities of each of the listed criteria. In the study the Best-Worst Method a multi-criteria decision-making approach is applied. According to the findings waste prevention at the earlier stages of food supply chains is given more priority compared to food waste minimization and treatment at the later stages. Hence the study concludes “skill and training” as the highest ranked criteria followed by “protection and infrastructure.” Further the study infers that understanding the individual intensities of criteria within a food supply chain can affect waste generation at each level having a significant impact on waste reduction. The data in this research was evaluated in the Indian context. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 22
Citation - Scopus: 25
Impact analysis of COVID-19 outbreak on cold supply chains of perishable products using a SWARA based MULTIMOORA approach
(Springer, 2022) Neeraj Kumar; Mohit S. Tyagi; Anish Kumar Sachdeva; Yigit Kazancoglu; Mangey Ram; Ram, Mangey; Tyagi, Mohit; Kumar, Neeraj; Sachdeva, Anish; Kazancoglu, Yigit
The present study aims to analyze the impact of the COVID-19 outbreak resulting in Cold Supply Chain (CSC) disruptions and shed new light on the potential opportunities yielded from the pandemic. In addition the work also aims to explore the most appropriate strategies to minimize CSC disruption due to the COVID-19 outbreak and to repurpose to create conditions as they were before the pandemic. The impact of the COVID-19 outbreak on CSCs has been analyzed theoretically and empirically considering seven broader assessment criteria. To diminish the disruption due to COVID-19 eight of the most appropriate remedial strategies have been proposed in this study. A new hierarchical model was developed to articulate the analysis and consolidate various issues pertinent to CSC disruption caused by COVID-19 in one frame. The developed model was analyzed using a hybrid approach of SWARA-based MULTIMOORA methods. The SWARA method has been used to analyze the significance of considered assessment criteria while the MULTIMOORA method has been used to analyze the mutual importance of proposed strategies. The findings of this paper show that ‘structural impact’ and ‘business and financial impact’ are the two most affected traits of CSC during the COVID-19 pandemic throughout the world. Meanwhile the strategies ‘development of safe and healthier work scenario for partners of the cold chain’ and ‘successful monitoring and implementation of COVID-19 protocols’ are the two most important proposed strategies that might help management to mitigate the influence of the COVID-19 outbreak on CSCs. Findings of this research enable CSC managers and policy-makers to develop potential and robust plans for their operations to respond to disruptive situations like COVID-19 and turn them into opportunities for organizational growth and improving the health of society. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 8
Citation - Scopus: 8
Managing the risks against carbon neutralization for green maritime transport
(ELSEVIER SCI LTD, 2024) Melisa Ozbiltekin-Pala; Yigit Kazancoglu; Stavros Karamperidis; Mangey Ram; Ozbiltekin-Pala, Melisa; Ram, Mangey; Karamperidis, Stavros; Kazancoglu, Yigit
Maritime transport plays a vital role in global trade. With low transport costs and high service reliability approximately 80% of products are transported by sea. The international nature of maritime transport supports globalized production and consumption patterns. As a result maritime transport is uniquely influenced by the convergence of environmental geopolitical and social factors. One of the environmental factors linked to maritime transport is emissions. Although many steps have been taken to reduce emissions within the scope of carbon neutrality by implementing new technologies and policies the volume of emissions produced in maritime transport is still relatively high and threatens global sustainability. This research attempts to estimate the volume of carbon emissions produced by international shipping using the Simple Exponential Smoothing method. After highlighting the situation this research aims to determine the risks that cause carbon emissions and which should be prioritized using the Graph Theory and Matrix Approach. This approach draws attention to the fact that a scientific basis has remained in the background. This study emphasizes the scientific basis of the method used to estimate carbon emissions ensuring that geopolitical and social risks are taken into account as well as environmental factors. Thus it offers a more comprehensive perspective to help managers and decision-makers in developing emission reduction strategies contributing to the greening of maritime transport.
Citation - Scopus: 13
Newly developed mathematical methodologies and advancements in a variety of engineering and management domains
(Cambridge Scientific Publishers, 2022) Mangey Ram; Dinesh C.S. Bisht; Nupur Goyal; Yigit Kazancoglu; M. Mathirajan; Ram, Mangey; Goyal, Nupur; Bisht, Dinesh C. S.; Kazancoglu, Yigit; Mathirajan, M.
This special issue (SI) of Journal of Mathematics in Engineering Science and Aerospace (MESA) compiles the selected papers that were presented during the 5th International Conference on Mathematical Techniques in Engineering Applications (ICMTEA2021) which took place at Graphic Era Deemed to be University in Dehradun India on December 3-4 2021. This issue is directed specifically toward the newly developed mathematical methodologies and advancements in a variety of engineering and management domains. A variety of topics like Reliability Operation Research Fuzzy Mathematics Multi-objective Optimization Transportation Problem Machine Learning Fluid Dynamics Software Reliability Numerical Analysis etc. are covered in the papers included in this collection. This SI have original high quality and unpublished works which has been peer reviewed by the journal. Andreas Makrides et.al [1]Stochastic Processes Reliability Analysis: Theoretical Issues Applications, Aadhi Naresh et.al.[2] Temperature and Air Velocity Distribution in Ripening Chamber of Fruits by CFD Simulation, Ranjeet Kaur et.al. [3] General Fuzzy Multiset Grammar and Language, Shristi Kharola et. al. [4] Analyzing the Fuzzy Reliability of a Skimmed Milk Powder Production System using Intuitionistic Fuzzy Number, Sabiha Bakhtawar et. al.[5] An Improved Algorithm based on Haar Scale 3 Wavelets for the Numerical Solution of Integro-differential Equations, Sumit Kaur Bhatia et.al [6] Stability Switches in a Linear IS-LM Model having Dual Time Delay, Hitesh Kumar et.al.[7] Innovation Adoption Modeling Incorporating Market Expansion and Change Point Attribute, Pankaj Kumar Srivastava et.al.[8] A Dynamic Optimization Approach for Multi-Item Multi-Objective Fixed-Place Neutrosophic Fuzzy Inventory and Green Management System, Deepti Sharma et.al.[9] Fuzzy Analytical Hierarchy Process to evaluate the curriculum of an undergraduate program with a vision to design an industry-ready undergraduate engineering program, Sudipa Chauhan et.al.[10] Dynamics of predator prey model using Gompertz functiom with Impulsive Biological Control and unilaterally Impulsive Diffusion, Brajesh Kumar et.al.[11] Advection Diffusion Model to Study the Astrocyte Calcium Regulation in Neurodegenerative Disease Ramu Dubey et.al.[12] Multiobjective Wolfe type symmetric fractional programming problem and their duality relations with arbitrary cone, Umesh Kumar Tiwari et.al.[13] An Efficient Algorithm to Eliminate Hidden Lines using Orthographic Projection, Dinesh C. S. Bisht et.al.[14] Optimization of a transportation problem under Pythagorean fuzzy environment, Vijay Kumar et.al.[15] Two phase software reliability modeling in the presence of imperfect debugging and error generation under fuzzy paradigm, Anuj Kumar1 et.al. [16] Multi-criteria decision-making techniques for complex decision making problems © 2022 Elsevier B.V. All rights reserved.
Preface
(ROUTLEDGE, 2019) Onur Burak Celik; Meltem Ince Yenilmez; Turker, Duygu; Kharola, Shristi; Idowu, Samuel O.; Vural, Ceren Altuntaş; Kazancoglu, Yigit; Ince Yenilmez, Meltem; Celik, Onur Burak; Ram, Mangey; Mangla, Sachin K.; MI Yenilmez; OB Celik
Citation - WoS: 38
Citation - Scopus: 42
Risk assessment for sustainability in e-waste recycling in circular economy
(SPRINGER, 2022) Yigit Kazancoglu; Yesim Deniz Ozkan-Ozen; Sachin Kumar Mangla; Mangey Ram; Ram, Mangey; Ozkan-Ozen, Yesim Deniz; Kazancoglu, Yigit; Mangla, Sachin Kumar
E-waste is a hazardous concept for human health environment and businesses and therefore risk assessment is essential to eliminate or reduce the negative effects of e-waste in a circular economy. Decision-making plays an important role during the risk assessment in e-waste recycling. This study aims to develop a decision tool under uncertain and risky conditions for achieving sustainability in electronic waste (e-waste) recycling in circular economy. Prospect theory and its aspects are integrated with the sustainability risk assessment in e-waste recycling. In order to evaluate the irrationality and risk attitudes of decision makers in a risky and uncertain environment the prospect theory-based TODIM (acronym in Portuguese for interactive and multicriteria decision-making i.e. Tomada de Decisao Interativa Multicriterio) method for a previous computer disassembly problem is used. Using prospect theory the relationship between loss aversion reference point framing and two selves effect and sustainability dimensions is presented with a sustainability risk assessment point of view. Further tasks of computer disassembly processes are prioritized by considering risk factors. The results showed that random access memory modules motherboard and power supply are the highest priority risks based on the evaluation of listed twelve sustainability risks. In this study it is suggested that prospect theory is suitable for decisions under risk and uncertainty and it is applicable to integrate sustainability risk assessment and prospect theory in order to fulfil the gap of knowledge. [GRAPHICS] .
Citation - WoS: 1
Citation - Scopus: 1
Special issue on ‘Recent advances in multi-disciplinary modeling & simulations’
(Taylor and Francis Ltd., 2021) Mangey Ram; Yigit Kazancoglu; Ram, Mangey; Kazancoglu, Yigit
[No abstract available]
Special Issue on advances in mathematical modeling and its applications
(Cambridge Scientific Publishers, 2024) Mangey Ram; Shristi Kharola; Akshay Kumar; Nupur Goyal; Yigit Kazancoglu; Kharola, Shristi; Ram, Mangey; Kumar, Akshay; Goyal, Nupur; Kazancoglu, Yigit
.This special issue (SI) is specifically targeted at the recently developed computational and mathematical techniques in various domains. Mathematically innovation models in a variety of engineering and management domains have been proposed. Diverse array of themes like Reliability Operation Research Multi-objective Optimization Machine Learning Fluid Dynamics Software Reliability Numerical Analysis Supply chain etc. have been covered in the articles included in this collection. This SI consists of original high quality and unpublished works which have been peer reviewed by the journal. This SI comprises studies across various domains. Bhatia et al. [1] simulate traveling wave solutions of the modified regularized and regularized long wave equations (MRLW RLW equations) using modified trigonometric B-spline functions in collocation method. Anand et al. [2] propose innovation diffusion models based upon time dependent growth behavior of the isolated potential adopter-domain of the adopter population. The proposed models have been validated on ACER PC and iPhone sales data sets and their inferences are quite promising. Guru Prasad et al. [3] worked on the adaptability and re-configurability of origami structures exploring their dynamic nature. The study opens up new possibilities for innovation in the fields of biomedical devices robotic actuators and deployable structures by demonstrating how origami-inspired designs might improve their usefulness and efficiency. Prateeksha et al. [4] discuss the adverse effects of voltage unbalanced on the steady state performance of 3-Phase Induction Motor. The shortfalls of existing Power Quality index namely voltage unbalanced factor used for the assessment of performance of 3-Phase Induction Motor under the voltage unbalanced condition are highlighted. Sarkar et al. [5] worked on the objective to reduce makespan and balance machine workloads. A model is developed for both problems with minor modifications to accommodate the specific requirements. Additioinally a numerical illustration is provided for both cases and the effects of separable and non-separable setup times on performance criteria are statistically evaluated. Negi et al. [6] provide a quick overview of SVM list several applications draw attention to current issues and patterns and point out some of SVM’s drawbacks in this essay. Tripathi et al. [7] presented some essential aspects of spectral methods and their application to obtain the numerical solutions of Partial Differential Equations. The proposed scheme is based on the spectral collocation of Lagrange and Techbychef orthogonal polynomials for both space and time integrations. Amandeep et al. [8] developed a mathematical model to study the flow of blood through a multi-stenosed artery under the influence of applied magnetic field and body force. Blood is considered as Casson fluid to represent the Non-Newtonian character of blood in narrow artery. The analytical expressions have been derived for axial velocity core velocity volumetric flow rate and wall shear stress. Singh et al. [9] put forth a model of predator-prey cooperation that produces herd dynamics and the Allee effect on the population of prey. Authors have investigated the Allee effect using temporal analysis. Singh et al. [10] presented the Generalised Modified Weibull testing effort-based software reliability growth model that quantifies the effect of an infected patch on multi-release software. Bisht et al. [11] proposed a new entropy measure specifically designed for intuitionistic fuzzy sets. The validation process verifies the efficacy of the proposed measure. In addition specific case studied illustrated the practical applications of the proposed entropy measure in real-world multi-criteria group decision making as proposed measure has been integrated with TOPSIS methods. Sahool et al. [12] aimed at studying the stability mechanism of chemically reacting cross diffusive free thermosolutal convective flow in a horizontal layer of viscoelastic Maxwell fluid through porous medium with heat source effect. The chemical reaction is taken into account in the mass transfer equation. Verma et al. [13] focused on Petri Net modeling a mathematical modeling tool used to model discrete event dynamic systems to study the dynamic behavior of the Interleukin 17 (IL-17) signaling pathway. The study involves computational analysis including state space deadlock sequence reachability and behavioral properties in the Interleukin 17E signaling pathways. Sadiya et al. [14] computed the reliability function of a system which provides the determination of tail signature minimal signature and signature reliability. Furthermore the system’s estimated life and system cost are also assessed. We also evaluate the hazard intensity index for the proposed system. Kaushik et al. [15] provided a comprehensive overview of the literature concerning the applications of the Analytic Hierarchy Process. The article focuses on a specific subset of the diverse applications of AHP that may be of particular interest to both scholars and practitioners. Andreea V. Cojocaru et al. [16] provides the Artificial Intelligence and Human Consciousness: A survey. Boddu Muralee Bala Krushna1 [17] study the existence of multiple positive radial solutions to elliptic equations in (R1R2). Abdallah Brik et al. [18] present the Zero-Hopf bifurcation in a modified hyperchaotic Chen system. Jacson Simsen [19] investigate the Nonlinear nonautonomous math models for drug concentration in the body. Sudha Yadav et al. [20] present the Mathematical analysis of an SIQR model with non-linear incidence and saturated treatment rates. V. Ananthaswamy et al. [21] introduce A mathematical study on the transmission dynamics of Hepatitis A virus. S. Jasmin Swetha et al. [22] investigate the Caputo-Fabrizio fractional neutral pantograph integro-differential system analysis with impulses. © 2024 Elsevier B.V. All rights reserved.
Citation - Scopus: 4
STOCHASTIC ANALYSIS OF COMPLEX REDUNDANT SYSTEM HAVING PROBLEM OF WAITING LINE IN REPAIR USING COPULA METHODOLOGY
(Gnedenko Forum, 2021) Surabhi Sengar; Mangey Ram; Yigit Kazancoglu; Sengar, Surabhi; Ram, Mangey; Kazancoglu, Yigit
This paper investigates the stochastic behavior of a redundant system having problem of waiting line in the maintenance section in terms of various aspects such as reliability availability sensitivity etc. The system under consideration has three parts X Y and Z connected in series. Each part has two units. Out of which part X has one main unit and other applied redundant unit. Similarly part Y has one main unit and other cold redundant unit to support the system. When main units of both the part have failed then redundant units start automatically. While part Z has two units connected in parallel configuration. Here a realistic situation is discussed that when main units and redundant units of part X and Y are failed and arrived for repair then due to unavailability of repair men a line is generated there and its affect on systems reliability. So the focus of the study is to investigate the nature of the system using supplementary variable technique with the application of copula methodology under the condition when all four units are in line for repair. © 2022 Elsevier B.V. All rights reserved.