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Article
Publication date: 29 April 2021

Lalit Bhagat, Gunjan Goyal, Dinesh C.S. Bisht, Mangey Ram and Yigit Kazancoglu

The 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…

Abstract

Purpose

The 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/approach

In 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.

Findings

The 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 implications

The 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/value

The 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.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

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Article
Publication date: 23 May 2008

Phallapa Petison and Lalit Johri

In order to identify expatriate roles in a subsidiary it is necessary to go beyond those functions which are subservient to the headquarters. This paper sets out to…

Abstract

Purpose

In order to identify expatriate roles in a subsidiary it is necessary to go beyond those functions which are subservient to the headquarters. This paper sets out to prescribe a new spectrum of development roles with respect to varying capabilities and development needs of local employees.

Design/methodology/approach

The roles of expatriates are analyzed based on seven case studies conducted with top automobile manufacturers in Thailand: Toyota Motor Thailand; Hino Motors (Thailand); Honda Automobile (Thailand); Isuzu Motors (Thailand); BMW (Thailand); DaimlerChrysler (Thailand); and Auto Alliance (Thailand).

Findings

Four types of expatriate roles – commander, conductor, coach, and connector – are proposed; the roles correspond to the degree of task readiness and managerial capabilities of local employees.

Practical implications

The paper provides a tool that will help expatriates understand their roles according to the technical skills and managerial capabilities of local employees.

Originality/value

The paper offers practical advice for diagnosing expatriate roles and their training prior to assignment to a subsidiary.

Details

Management Decision, vol. 46 no. 5
Type: Research Article
ISSN: 0025-1747

Keywords

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