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Article
Publication date: 22 March 2013

Ming‐Han Lin and Chin‐Tai Chen

The purpose of this paper is to study the effects of ion‐slip current and Hall current on the formation of longitudinal vortices in natural convection flow over a heated…

152

Abstract

Purpose

The purpose of this paper is to study the effects of ion‐slip current and Hall current on the formation of longitudinal vortices in natural convection flow over a heated horizontal plate.

Design/methodology/approach

The criterion on the position marking on the onset of longitudinal vortices is defined in the present paper. The results show that the onset position characterized by the Grashof number depends on the Prandtl number, the Reynolds number, the wave number, the Hall parameter, the ion‐slip parameter, and the Hartmann number.

Findings

The flow becomes more stable as the magnetic field increases. However, the destabilizing effect is found on the flow when the Hall and ion‐slip currents are presented.

Research limitations/implications

The standard method of linear stability model is applied, with terms higher than first order in disturbance quantities being neglected.

Practical implications

The problem of MHD natural convection flow with Hall and ion‐slip currents has many important engineering applications, e.g. power generators, Hall accelerators and flows in channels and ducts.

Originality/value

This study is to check the validity of the assumptions that the conditions of Hall and ion‐slip currents can be ignored.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 23 no. 2
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 29 January 2024

Pei-Ju Wu and Yu-Chin Tai

In the reduction of food waste and the provision of food to the hungry, food banks play critical roles. However, as they are generally run by charitable organisations that are…

614

Abstract

Purpose

In the reduction of food waste and the provision of food to the hungry, food banks play critical roles. However, as they are generally run by charitable organisations that are chronically short of human and other resources, their inbound logistics efforts commonly experience difficulties in two key areas: 1) how to organise stocks of donated food, and 2) how to assess the donated items quality and fitness for purpose. To address both these problems, the authors aimed to develop a novel artificial intelligence (AI)-based approach to food quality and warehousing management in food banks.

Design/methodology/approach

For diagnosing the quality of donated food items, the authors designed a convolutional neural network (CNN); and to ascertain how best to arrange such items within food banks' available space, reinforcement learning was used.

Findings

Testing of the proposed innovative CNN demonstrated its ability to provide consistent, accurate assessments of the quality of five species of donated fruit. The reinforcement-learning approach, as well as being capable of devising effective storage schemes for donated food, required fewer computational resources that some other approaches that have been proposed.

Research limitations/implications

Viewed through the lens of expectation-confirmation theory, which the authors found useful as a framework for research of this kind, the proposed AI-based inbound-logistics techniques exceeded normal expectations and achieved positive disconfirmation.

Practical implications

As well as enabling machines to learn how inbound logistics are handed by human operators, this pioneering study showed that such machines could achieve excellent performance: i.e., that the consistency provided by AI operations could in future dramatically enhance such logistics' quality, in the specific case of food banks.

Originality/value

This paper’s AI-based inbound-logistics approach differs considerably from others, and was found able to effectively manage both food-quality assessments and food-storage decisions more rapidly than its counterparts.

Details

Journal of Enterprise Information Management, vol. 37 no. 1
Type: Research Article
ISSN: 1741-0398

Keywords

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Article
Publication date: 1 July 2018

Ming-Chang Huang and Bau-Jung Chang

This paper highlights cooperation as an important moderating condition of competitive action and response. Drawing on a new perspective of collective identity on competitive…

566

Abstract

Purpose

This paper highlights cooperation as an important moderating condition of competitive action and response. Drawing on a new perspective of collective identity on competitive dynamics, the purpose of this paper is to stress the impacts of market commonalities and resource similarities on competitive actions and responses and focus on the moderating effect of cooperation on the relationships mentioned above.

Design/methodology/approach

This study employs logistic regression analysis to test the hypotheses in the Taiwanese flour industry at the period 2002–2005.

Findings

The results indicate market commonalities and resource similarities have a negative effect on the likelihood of a price-competitive action and a price-competitive response. Moreover, the level of cooperation among firms moderates the relationships among market commonalities, resource similarities, price-competitive actions, and price-competitive responses.

Practical implications

To understand and predict competitive behavior help firms to control and avoid unnecessary rivalry and therefore maintain mutual forbearance with competitors.

Originality/value

This study provides a new angle on cooperation-level analysis, contributing the use of collective identity theory to analyze the moderating effects of cooperation on competitive actions and responses.

Details

Management Decision, vol. 57 no. 1
Type: Research Article
ISSN: 0025-1747

Keywords

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