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Article
Publication date: 1 April 2004

Asish Bandyopadhyay, Swarnendu Sen, Amitava Sarkar and Souvik Bhattacharyya

The effect of electro‐convection in a cylindrical flow annulus on heat transfer enhancement has been investigated numerically. Weakly ionized air is considered to be the working…

483

Abstract

The effect of electro‐convection in a cylindrical flow annulus on heat transfer enhancement has been investigated numerically. Weakly ionized air is considered to be the working fluid throughout this work. The effect of exit boundary condition, considered to be the main hindrance for the numerical solution, has been discussed in detail. The present work shows interesting flow field characteristics, which are in excellent agreement with some other established experiments. The heat transfer enhancement, as reported in this work, appears to be small in view of the low magnitude of the applied voltage but it clearly and surely delineates the trend, i.e. with increase in the strength of the electric field, heat transfer enhances.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 14 no. 3
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 1 January 2014

Sofen K. Jena, Swarup K. Mahapatra and Amitava Sarkar

The current study aims to address the interaction between participating media radiation with thermo-gravitational convection of an electrically conducting fluid enclosed within a…

188

Abstract

Purpose

The current study aims to address the interaction between participating media radiation with thermo-gravitational convection of an electrically conducting fluid enclosed within a tilted enclosure under an externally imposed time-independent uniform magnetic field.

Design/methodology/approach

The differentially heated boundaries of the tilted enclosure are considered to be diffuse, gray and the enclosed fluid is assumed to be absorbing, emitting and isotropically scattering. The Navier-Stokes equations, meant for magneto convection are solved using modified MAC method. Gradient dependent consistent hybrid upwind scheme of second order is used for discretization of the convective terms. Discrete ordinate method, with S8 approximation, is used to model radiative transport equation in the presence of radiatively active medium.

Findings

Effect of uniform magnetic field with different magnitudes and orientations of cavity has been numerically simulated. The effect of participating media radiation has been investigated for different optical thicknesses, emissivities, scattering albedos and Planks number. The results are provided in both graphical and tabular forms. The flow lines, isotherms bring clarity in the understanding of flow behaviour and heat transfer characteristics.

Originality/value

Despite the idealized nature, the present study is quite essential to understand the cumbersome physics of realistic problem.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 24 no. 1
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 6 June 2008

Amitava Ray, Bijan Sarkar and Subir Sanyal

The purpose of this paper is to develop and demonstrate an outsourcing model in which constraint resource prevents the throughput of the organization.

1272

Abstract

Purpose

The purpose of this paper is to develop and demonstrate an outsourcing model in which constraint resource prevents the throughput of the organization.

Design/methodology/approach

The paper proposes an integrated model by combining the Hurwicz criterion, the theory‐of‐constraints (TOC) and linear programming (LP) into a single evaluation model in a multi‐product constraint resource environment. A case study is presented to demonstrate the effectiveness of this model. The decision model compares four alternatives: standard cost accounting, standard TOC, LP analysis, and our own solution, which is an approach that combines TOC, LP, and the Hurwicz criterion.

Findings

The numerical results show that this model is superior and more realistically optimizes resource allocation and measures the performance of the model.

Research limitations/implications

This research is limited to the production processes that do not have multiple constraints.

Originality/value

This is the first time that the integrated model comprising of Hurwicz‐TOC‐LP model has been used to maximize the product throughput. Instead of calculating $ return per constraint minute, this method decides the priority of product and resource center that maximizes the product throughput in the constraint resource environment. It makes a significant contribution to the manufacturing organization where one can compare the financial performance of the organization by selecting the right decision model.

Details

Strategic Outsourcing: An International Journal, vol. 1 no. 2
Type: Research Article
ISSN: 1753-8297

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Article
Publication date: 14 November 2008

Amitava Ray, Bijan Sarkar and Subir Sanyal

The aim of this paper is to develop and demonstrate an outsourcing decision model in which constraint resource prevents the throughput of the organization.

376

Abstract

Purpose

The aim of this paper is to develop and demonstrate an outsourcing decision model in which constraint resource prevents the throughput of the organization.

Design/methodology/approach

An integrated model is proposed by incorporating the weighted product model (WPM) of AHP in estimating the priority of each product in a multi‐product constraint resource environment. A numerical example is presented to demonstrate the effectiveness of this model. The outsourcing decision model compares four alternatives: Standard cost accounting, standard theory‐of‐constraints (TOC), LP analysis and an original solution.

Findings

The numerical results show that the proposed model is superior and more realistically optimizes resource allocation and measures the performance of the model.

Research limitations/implications

This research is limited to the production processes that do not have multiple constraints.

Practical implications

This research is applicable to the companies which produce multi‐products in a situation in which market demand exceed the company's production capacity.

Originality/value

This is the first time that the WPM of AHP/TOC has been used to maximize the product throughput. Instead of calculating $return per constraint minute, it decides the priority of product that maximizes the product throughput in the constraint resource environment. It makes a significant contribution to the manufacturing organization where one can compare the financial performance of the organization by selecting the right decision model.

Details

Journal of Applied Accounting Research, vol. 9 no. 3
Type: Research Article
ISSN: 0967-5426

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Article
Publication date: 24 August 2010

Amitava Ray, Bijan Sarkar and Subir Kumar Sanyal

Cost estimation based on expert's judgment is not an ideal approach, since human decisions are usually determined according to general attributes of limited and unstructured…

1993

Abstract

Purpose

Cost estimation based on expert's judgment is not an ideal approach, since human decisions are usually determined according to general attributes of limited and unstructured experience. The purpose of this paper is to develop a generic model of intelligence and cognitive science‐based method that can play an active role in process cost prediction within the shortest possible time.

Design/methodology/approach

In this paper, an intelligent system was conceived for prediction of total process cost of the product. The system is based on the concept of case‐based reasoning. It is a method for solving problems by making use of previous (source cases), similar situations and reusing information and knowledge about such situations. The source case data are generated by Taguchi technique and the cost function calculates the corresponding cost of each experiment in the economic time scale. The target case consists of the process variables whose cost needs to be determined. The cost for the source cases, consisting of the process variables of the already manufactured products are known in priori. The system calculates the similarities between the source cases and target cases and calculates the optimum cost. The fuzzy‐C‐means clustering method provides the model connecting the process parameters with total costs searched for.

Findings

The results show that the quality of predictions made by the intelligent system is comparable to the quality assured by the experienced expert. The proposed expert system is superior to traditional cost accounting system and assists inexperienced users in predicting the optimum process cost within the shortest possible time.

Research limitations/implications

The research was limited to the traditional machining process.

Practical implications

The paper can be applied to any process industry and will have immense practical value.

Originality/value

This is the first time an expert system has been developed for the process industry that can calculate the process cost within a few days or a few hours before making an offer to a buyer.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 3 no. 3
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 10 October 2008

Amitava Ray, Bijan Sarkar and Subir Kumar Sanyal

The primary aim in this paper is to develop and demonstrate a theory of constraints (TOC) model in which constraint resource prevents the throughput of the organization.

4383

Abstract

Purpose

The primary aim in this paper is to develop and demonstrate a theory of constraints (TOC) model in which constraint resource prevents the throughput of the organization.

Design/methodology/approach

In this paper, the authors propose an integrated model by combining Laplace criterion and TOC into a single evaluation model in a multiproduct constraint resource environment. A case study is illustrated to demonstrate the effectiveness of this model. The outsourcing decision model compares three alternatives: standard cost accounting, standard theory‐of‐constraints, and our own solution.

Findings

The numerical results show that the new approach is superior to Standard cost accounting and Theory of Constraints and presents a more realistic state of optimum allocation of resources and measures the performance of the model.

Research limitations/implications

This research is limited to the production processes that do not have multiple constraints.

Originality/value

This is the first time that the integrated model comprising of Laplace‐TOC model has been used to maximize the product throughput. Instead of calculating $return per constraint minute, this method decides the priority of product that maximizes the product throughput in the constraint resource environment. It makes a significant contribution to the manufacturing Organization where one can compare the financial performance of the Organization by selecting the right decision model.

Details

International Journal of Accounting & Information Management, vol. 16 no. 2
Type: Research Article
ISSN: 1834-7649

Keywords

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Article
Publication date: 11 June 2019

Amitava Choudhury, Snehanshu Pal, Ruchira Naskar and Amitava Basumallick

The purpose of this paper is to develop an automated phase segmentation model from complex microstructure. The mechanical and physical properties of metals and alloys are…

504

Abstract

Purpose

The purpose of this paper is to develop an automated phase segmentation model from complex microstructure. The mechanical and physical properties of metals and alloys are influenced by their microstructure, and therefore the investigation of microstructure is essential. Coexistence of random or sometimes patterned distribution of different microstructural features such as phase, grains and defects makes microstructure highly complex, and accordingly identification or recognition of individual phase, grains and defects within a microstructure is difficult.

Design/methodology/approach

In this perspective, computer vision and image processing techniques are effective to help in understanding and proper interpretation of microscopic image. Microstructure-based image processing mainly focuses on image segmentation, boundary detection and grain size approximation. In this paper, a new approach is presented for automated phase segmentation from 2D microstructure images. The benefit of the proposed work is to identify dominated phase from complex microstructure images. The proposed model is trained and tested with 373 different ultra-high carbon steel (UHCS) microscopic images.

Findings

In this paper, Sobel and Watershed transformation algorithms are used for identification of dominating phases, and deep learning model has been used for identification of phase class from microstructural images.

Originality/value

For the first time, the authors have implemented edge detection followed by watershed segmentation and deep learning (convolutional neural network) to identify phases of UHCS microstructure.

Details

Engineering Computations, vol. 36 no. 6
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 8 August 2016

Prasenjit Guha Thakurta

The purpose of this study is to explore the relationship between the real time requirements of guests and efforts made by hoteliers to optimize revenue and guest service…

1566

Abstract

Purpose

The purpose of this study is to explore the relationship between the real time requirements of guests and efforts made by hoteliers to optimize revenue and guest service excellence.

Design/methodology/approach

Prior studies have demonstrated the impact of room rates on profitability. The majority of these studies assumed an algebraic relationship between room rates and room demand to obtain the optimal solution by applying calculus to the revenue or profit function. This study adopts an alternative approach by seeking to better understanding the ever changing needs of hotel guests and how their behavior patterns have evolved over time together with innovative approaches that revenue managers need to adopt to optimize revenue. In today’s environment, revenue management has evolved into a more holistic approach and the study assimilates information from senior professionals from a range of hotels in India based on semi-structured interviews.

Findings

Revenue management is no longer about forecasting supply and demand based on historical data. This paper yields insights on emerging areas of importance for revenue management and advocates a systematic approach that hoteliers can adopt and apply to every department to secure a bigger impact on revenue management.

Practical implications

The findings can be used by hoteliers to fine-tune the room rates determined by conventional methods to arrive at a realistic and definitive value for optimal room rates.

Originality/value

This study highlights the issues that arise from viewing revenue management in isolation and it also considers innovative, customer-focused ways to optimize revenues.

Details

Worldwide Hospitality and Tourism Themes, vol. 8 no. 4
Type: Research Article
ISSN: 1755-4217

Keywords

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Book part
Publication date: 22 August 2022

Gunjan Saxena

This chapter challenges the urban bias in studies on the middle class in India and underlines the need to focus on the significant role rural middle class plays in economic…

Abstract

This chapter challenges the urban bias in studies on the middle class in India and underlines the need to focus on the significant role rural middle class plays in economic diversification. Given that more than 23% of the upper middle class are located in rural India, it is surprising to note that their contribution in supporting experience economy remains under-researched. Thus, this chapter fills a key gap in existing studies on rural tourism in India by underlining how rural middle-class has triggered a huge demand for travel within the country itself for rural cultural programmes and different schemes to promote rural heritage sights.

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Article
Publication date: 22 October 2024

Madhab Chandra Mandal, Nripen Mondal and Amitava Ray

The purpose of this study is to evaluate and enhance sustainable manufacturing practices across various industries, focusing on environmental, economic and social dimensions, to…

35

Abstract

Purpose

The purpose of this study is to evaluate and enhance sustainable manufacturing practices across various industries, focusing on environmental, economic and social dimensions, to promote a comprehensive understanding and implementation of sustainability, thereby improving overall industry performance and fostering long-term ecological and economic health.

Design/methodology/approach

The study uses multi-criteria decision-making-multivariate analysis technique to examine sustainable manufacturing practices (SMPs) in the Indian manufacturing sector. It identifies 11 SMP criteria through literature review and expert recommendations. Data are collected through questionnaires, expert committees and interviews. The study focuses on four key industries: automobile, steel, textile and plastic. Techniques like principal component analysis (PCA), technique for order preference by similarity to ideal solution (TOPSIS) and complex proportional assessment (COPRAS) are used to rank and assess performance.

Findings

The Indian automobile industry has shown the most effective SMPs compared to steel, textile and plastic sectors. The automobile sector is the benchmark for sustainable measures, emphasizing the importance of green practices for environmental, social and economic performance. Recommendations extend beyond the automobile sector to cement, electronics and construction.

Practical implications

The research emphasizes the importance of SMPs across various industries, focusing on economic, environmental and social considerations. It advocates for a holistic approach that enhances resource efficiency and minimizes ecological footprint.

Originality/value

The study uses ranking methods like PCA-integrated TOPSIS and COPRAS to evaluate performance in different industries, focusing on the benchmarked automobile sector. The research offers valuable insights and advocates for the widespread adoption of sustainable policies beyond the studied sectors.

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