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Blar i NTNU Open på forfatter "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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...

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