Browsing NTNU Open by Author "Ghosh, Tamal"
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A hybrid neural network approach to cell formation in cellular manufacturing
Sengupta, Sourav; Ghosh, Tamal; Dan, Pranab (Journal article, 2011)Abstract: The design of Cellular Manufacturing Systems (CMS) has attained the significant interest of academicians, researchers and practitioners over the last three decades. CMS is regarded as an efficient production ... -
AI-based techniques in cellular manufacturing systems: a chronological survey and analysis
Ghosh, Tamal; Sengupta, Sourav; Doloi, B; Dan, Pranab (Journal article, 2014)This article portrays a chronological review of the influence of artificial neural network in group technology applications in the vicinity of cellular manufacturing systems. The research trend is identified and the ... -
An Immune Genetic algorithm for inter-cell layout problem in cellular manufacturing system
Ghosh, Tamal; Doloi, B.; Dan, Pranab (Journal article, 2016)The objective function of inter-cell layout problem minimizes the total inter-cellular material handling cost. It is mostly significant with moderate production quantity in cellular manufacturing systems (CMS). This problem ... -
Applying improved median linkage heuristic for cell formation problem considering binary data
Ghosh, Tamal; Dan, Pranab (Journal article, 2011)Abstract: The crucial problem in cellular manufacturing system (CMS) is to identify the machine cells and corresponding part families to form the production cells. This article portrays a novel approach based on median ... -
CFNN-PSO: An Iterative Predictive Model for Generic Parametric Design of Machining Processes
Ghosh, Tamal; Martinsen, Kristian (Journal article; Peer reviewed, 2019)Every production process consists of a large number of dependent and independent variables, which substantially influence the quality of the machined parts. Due to the large impact of process variabilities, it is difficult ... -
Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory
Gao, Xiue; Chen, Bo; Chen, Shifeng; Wang, Kesheng; Wang, Yi; Xie, Wenxue; Yuan, Jin; Martinsen, Kristian; Ghosh, Tamal (Chapter, 2020)DS evidence theory has in obtaining a correct diagnosis when confronted with highly conflicting evidence, a collaborative fault diagnosis decision fusion algorithm based on an improved version of DS evidence theory is ... -
Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant
Ghosh, Tamal; Martinsen, Kristian (Journal article; Peer reviewed, 2019)Beetle Antennae Search (BAS) is a newly developed nature-inspired algorithm, which falls in the class of single-solution driven metaheuristic techniques. This algorithm mimics the searching behavior of the longhorn beetles ... -
Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance
Bhattacharjee, Debraj; Ghosh, Tamal; Bhola, Prabha; Martinsen, Kristian; Dan, Pranab (Journal article; Peer reviewed, 2019)This article presents an optimized series-parallel hybrid powertrain transformed from a conventional vehicle using an analytical approach without changing the original chassis. The proposed approach is based on a many-objective ... -
Deploying NSBA algorithm for bi-objective manufacturing cells considering percentage utilisation of machines
Ghosh, Tamal; Martinsen, Kristian (Peer reviewed; Journal article, 2020)Percentage utilisation of machines is considered as an important production factor for manufacturing cell formation problem (CFP) in cellular manufacturing (CM). This recently developed concept correctly emphasises ratio ... -
Development and correlation analysis of non-dominated sorting buffalo optimization NSBUF II using Taguchi’s design coupled gray relational analysis and ANN
Ghosh, Tamal; Martinsen, Kristian; Dan, Pranab (Journal article; Peer reviewed, 2019)African Buffalo Optimization (ABO) is a latest bio-inspired optimization technique in the domain of evolutionary optimization, which mimics the migratory behavior of the buffalo foraging for food across the plains and ... -
Ecodesigning and improving performance of plugin hybrid electric vehicle in rolling terrain through multi-criteria optimisation of powertrain
Bhattacharjee, Debraj; Ghosh, Tamal; Bhola, Prabha; Martinsen, Kristian; Dan, Pranab (Peer reviewed; Journal article, 2021)This work presents an ecodesigning and operating performance improvement methodology in series-parallel Plugin hybrid electric vehicle (PHEV) in passenger car category, through optimisation of powertrain, considering ... -
Generalized approach for multi-response machining process optimization using machine learning and evolutionary algorithms
Ghosh, Tamal; Martinsen, Kristian (Journal article; Peer reviewed, 2019)Contemporary manufacturing processes are substantially complex due to the involvement of a sizable number of correlated process variables. Uncovering the correlations among these variables would be the most demanding task ... -
Generalized utilization-based similarity coefficient for machine-part grouping problem in cellular manufacturing
Ghosh, Tamal (Journal article; Peer reviewed, 2019)This article intends to justify the gap in the research of similarity coefficient driven approaches and cell formation problems (CFP) based on ratio data in cellular manufacturing systems (CMS). The actual implication of ... -
Hybrid principal component analysis technique to machine-part grouping problem in cellular manufacturing system
Ghosh, Tamal; Chattopadhyay, Manojit; Dan, Pranab (Journal article; Peer reviewed, 2013)This article portrays a hybrid principal component analysis (PCA)-based technique to construct production cells in cellular manufacturing system (CMS). The key problem in CMS is to recognise the machine cells and corresponding ... -
Machine Learning Based Heuristic Technique for Multi-response Machining Process
Ghosh, Tamal; Martinsen, Kristian (Peer reviewed; Journal article, 2020)Manufacturing process variables influence the quality of products substantially. It is unquestionably difficult to model the manufacturing processes that include a large number of variables and responses. Development of ... -
A New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual
Chen, Bo; Wang, Kesheng; Gao, Xiue; Wang, Yi; Chen, Shifeng; Zhang, Tianshu; Martinsen, Kristian; Ghosh, Tamal (Chapter, 2020)The existing contribution plot-based reconstruction fault identification methods suffer from low identification accuracy and serious trailing effect. In this paper, a new fault identification method is proposed based on a ... -
NSGA III for CNC End Milling Process Optimization
Ghosh, Tamal; Martinsen, Kristian (Peer reviewed; Journal article, 2020)Computer Numerical Controlled (CNC) end milling processes require very complex and expensive experimentations or simulations to measure the overall performance due to the involvement of many process parameters. Such problems ... -
Optimal Design of Manufacturing Cells Considering Machine Usage Percentage
Ghosh, Tamal (Peer reviewed; Journal article, 2020)This paper demonstrates an exclusive design methodology in Cellular Manufacturing (CM) considering machine usage percentage as ratio data. This research correctly emphasized the fundamental of ratio data and proposed a ... -
Particle swarm optimisation in development of component families using classification and coding system: a case study in an Indian manufacturing firm
Ghosh, Tamal; Dan, Pranab (Journal article; Peer reviewed, 2012)Abstract: Component/part family identification is an NP class problem in the extent of group technology (GT). In preceding literature it has been evidenced that part family identification techniques are ordinarily grounded ... -
A Surrogate-Assisted Optimization Approach for Multi-Response End Milling of Aluminium Alloy AA3105
Ghosh, Tamal; Yi, Wang; Martinsen, Kristian; Wang, Kesheng (Peer reviewed; Journal article, 2020)Optimization of the end milling process is a combinatorial task due to the involvement of a large number of process variables and performance characteristics. Process-specific numerical models or mathematical functions are ...