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Article

Hamdi A. Bashir and Samir Karaa

Without reliance on results obtained from applying a cell formation method, this paper aims to describe a simple quantitative approach to testing whether an underlying…

Abstract

Purpose

Without reliance on results obtained from applying a cell formation method, this paper aims to describe a simple quantitative approach to testing whether an underlying pattern of relationships exists between machines of a given system, such that the machines may be rearranged into manufacturing cells. It also aims to support the approach by an index for measuring the clustering tendency.

Design/methodology/approach

The eigenvalues of the similarity coefficient matrix and Kaiser's rule are used to: detect the number of clusters existing in the part‐machine matrix, and derive an index for predicting the goodness of the best possible obtainable cell formation.

Findings

The results of applying the proposed approach and the clustering tendency index to problems of different sizes taken from the literature have proven that both the approach and the clustering tendency index are powerful in performing the feasibility assessment and in predicting the right number of manufacturing cell to be formed.

Practical implications

This study is of considerable value to practitioners because it provides them with a powerful yet very easy to apply approach for assessing the feasibility of adopting cellular manufacturing in early stages of design. Another characteristic of this approach is the possibility of using it as a decision support tool for practitioners who opt to use a cell formation method which requires specifying the number of cells in advance. Moreover, the approach does not require any special software package, since it can be easily performed using several available software packages such as MATLAB and Mathematica.

Originality/value

A methodology for evaluating the adaptability of a system to cellular manufacturing has been proposed in a previous study. However, the methodology used is complex and uses a certain degree of subjectivity. In contrast, the proposed approach is simple and completely quantitative. Furthermore, a new index for measuring the clustering tendency is presented.

Details

Journal of Manufacturing Technology Management, vol. 19 no. 8
Type: Research Article
ISSN: 1741-038X

Keywords

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Article

Abdullah M.S. Al‐Rawahi and Hamdi A. Bashir

The purpose of this paper is to report on the results of a study investigating the association between organizational differences and some aspects relating to the…

Abstract

Purpose

The purpose of this paper is to report on the results of a study investigating the association between organizational differences and some aspects relating to the implementation of ISO 9001:2000.

Design/methodology/approach

Data required for this study were collected from 42 ISO 9001:2000‐certified organizations of different size and sector type in the Sultanate of Oman. The Kruskal‐Wallis test was adopted for testing 12 research hypotheses.

Findings

The results show that there is no strong evidence to suggest that the motives for implementation, the process and cost of achieving certification, the perceived benefits, and the shortcomings differ significantly according to organization size or sector type.

Practical implications

The main outcome of this study is that the issue of organization size or sector type should not be a factor for an organization in deciding certification. This outcome is of value to organizations that are interested investing in ISO certification.

Originality/value

Several studies have been carried out investigating aspects relating to the implementation of the ISO 9001:2000 quality management standard in organizations operating in different countries. However, the issue of whether these aspects differ according to organization size or sector type has not been sufficiently and appropriately addressed in the literature. This paper reports on the results of a study investigating these issues.

Details

The TQM Journal, vol. 23 no. 6
Type: Research Article
ISSN: 1754-2731

Keywords

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Article

Fouzeya M. Albastaki, Hamdi Bashir, Udechukwu Ojiako, Mohammad Shamsuzzaman and Salah Haridy

Despite the increasing number of studies investigating environmentally sustainable practices in different sectors, no research exists on the issues related to the success…

Abstract

Purpose

Despite the increasing number of studies investigating environmentally sustainable practices in different sectors, no research exists on the issues related to the success factors for implementing environmentally sustainable practices in the utilities sector. To partially fill this research gap, the purpose of this study is to empirically examine these success factors in a public utilities organization in the United Arab Emirates.

Design/methodology/approach

An integrated interpretive structural modeling and fuzzy cross-impact matrix multiplication applied to classification approach was implemented to identify the critical success factors (CSFs) and to model and analyze the relationships among them.

Findings

Thirteen CSFs were identified and the relationships among them were represented by a seven-level hierarchical graphical model, and six CSFs were identified as drivers of success: government policies, regulations and environmental awareness programs; organization sustainability strategies; top management commitment; organizational capabilities; social and environmental responsibility; and eco-knowledge.

Originality/value

This is first kind of study to identify CSFs for implementing environmentally sustainable practices in the utilities sector. The results could guide government policymakers and decision-makers in utilities organizations that are interested in implementing environmentally sustainable practices.

Details

Management of Environmental Quality: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1477-7835

Keywords

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Article

Alasdair Marshall, Hamdi Bashir, Udechukwu Ojiako and Maxwell Chipulu

This conceptual paper aims to explore how supply chain managers deal with social threats to supply chains, in the process of demonstrating the potency of a largely…

Abstract

Purpose

This conceptual paper aims to explore how supply chain managers deal with social threats to supply chains, in the process of demonstrating the potency of a largely neglected strand of realist social theory. This theory, as posited, sheds a great deal of light on the behavioural reality of how supply chain managers operate within the social aspects of their risk environments.

Design/methodology/approach

The paper is presented as a narrative synthesis of classical realist sociological literature.

Findings

The Machiavellian approach provides a template that can be used to help academics and practitioners understand how and why supply chain managers orient themselves to the social threats they confront in very different ways. The theory’s contention that the behavioural reality can be subdivided between two basic patterns allows it to serve as a constructively simple template for becoming attuned to ways in which supply chain managers socially construct and act within their social threat environments.

Research limitations/implications

The growing social complexity of supply chains gives behavioural responses a complexity reduction function. The authors theorise that such patterns, once activated, may not necessarily adapt rationally as guides to optimise the chance of success against the full range of social threats they are likely to encounter.

Originality/value

Cross-disciplinary supply chain management research is increasingly drawing upon sociology and behavioural science to facilitate greater understanding of not only the supply chain environment but also the roles of supply chain managers as relationship influencers and managers of conflict. The authors posit that Machiavellian–realist social theory can contribute to supply chain management scholarship by offering a constructively simple approach to evaluate the behavioural realities associated with social threats.

Details

Management Research Review, vol. 41 no. 11
Type: Research Article
ISSN: 2040-8269

Keywords

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Article

Anthony Orji, Jonathan E. Ogbuabor, Onyinye Imelda Anthony-Orji and Chibudem O. Mbonu

The issue of foreign aid has continued to gain renewed economic cum political attention in the early years of the twenty-first century. At a summit, popularly known as the…

Abstract

Purpose

The issue of foreign aid has continued to gain renewed economic cum political attention in the early years of the twenty-first century. At a summit, popularly known as the Millennium Summit, which took place in 2000, there was an agreement by the international community concerning some goals known as the Millennium Development Goals which were targeted to be reached by the year 2015 but have now been replaced by the Sustainable Development Goals. Against this background, it becomes pertinent to ascertain the contributions and impact of foreign aid in the form of Overseas Development Assistance (ODA) on capital formation in Nigeria. This is an area of foreign aid studies that has been ignored by many researchers. Most studies are seen delving into analyzing the aid-growth nexus without evaluating the transmission link through which foreign aid transmits to affect economic growth. There is paucity of studies on the aid-capital nexus. The paper aims to discuss these issues.

Design/methodology/approach

The empirical method used was autoregressive distributed lag (ARDL) model.

Findings

The empirical results from the ARDL model estimations show that foreign aid, which is proxied by ODA, has a positive and significant impact on capital formation in Nigeria for the years under analysis. The result of the Granger causality test shows that a bi-directional granger causality exists between foreign aid and gross fixed capital formation (GFCF).

Originality/value

Empirical results from the ARDL model estimations show that foreign aid, which is proxied by ODA, has a positive and significant impact on capital formation in Nigeria for the years under analysis. The result of the Granger causality test shows that a bi-directional Granger causality exists between foreign aid and GFCF. It is therefore recommended that government should make serious efforts toward the implementation and effective utilization of foreign aid. Appropriate policy measures that would monitor the maximum and effective utilization of foreign aid are also required.

Details

International Journal of Emerging Markets, vol. 14 no. 2
Type: Research Article
ISSN: 1746-8809

Keywords

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Abstract

Details

A Spring Aborted
Type: Book
ISBN: 978-1-78756-666-8

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Article

Rachna Sehrawat, Parmjit S. Panesar, Reeba Panesar and Anit Kumar

Biopigments, natural colors from microbiological origin are of great interest because of their potential advantages over synthetic colorants. Therefore, this paper aims to…

Abstract

Purpose

Biopigments, natural colors from microbiological origin are of great interest because of their potential advantages over synthetic colorants. Therefore, this paper aims to evaluate the best possible fermentative conditions for the maximum production of biopigment using solid state fermentation and submerged fermentation by Monascus purpureus MTCC 369.

Design/methodology/approach

The biopigment was produced using solid state fermentation and submerged with optimized substrate to achieve higher yield. The statistical analysis was carried out using a Microsoft Excel ® (Microsoft Corporation).

Findings

On comparative analysis, it was observed that solid state fermentation resulted significant accumulation of biopigment (9.0 CVU/g) on the 9th day in comparison to submerged fermentation (5.1 CVU/g) on the 15th day.

Practical implications

Results revealed that sweet potato peel powder and pea pods provides necessary nutrients required for mycelial growth, and biopigment production, therefore, can be used as potent substrate for biopigment production by Monascus purpureus MTCC 369. Extracted color can be used in confectionery, beverages and pharmaceutical industries.

Originality/value

This work focuses on utilisation of waste for production of pigment as alternative source to synthetic colorant, and few studies have been carried out using wastes, but no work has been carried out on sweet potato peel to the best of the authors’ knowledge.

Details

Pigment & Resin Technology, vol. 46 no. 6
Type: Research Article
ISSN: 0369-9420

Keywords

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Article

Jiaming Liu, Liuan Wang, Linan Zhang, Zeming Zhang and Sicheng Zhang

The primary objective of this study was to recognize critical indicators in predicting blood glucose (BG) through data-driven methods and to compare the prediction…

Abstract

Purpose

The primary objective of this study was to recognize critical indicators in predicting blood glucose (BG) through data-driven methods and to compare the prediction performance of four tree-based ensemble models, i.e. bagging with tree regressors (bagging-decision tree [Bagging-DT]), AdaBoost with tree regressors (Adaboost-DT), random forest (RF) and gradient boosting decision tree (GBDT).

Design/methodology/approach

This study proposed a majority voting feature selection method by combining lasso regression with the Akaike information criterion (AIC) (LR-AIC), lasso regression with the Bayesian information criterion (BIC) (LR-BIC) and RF to select indicators with excellent predictive performance from initial 38 indicators in 5,642 samples. The selected features were deployed to build the tree-based ensemble models. The 10-fold cross-validation (CV) method was used to evaluate the performance of each ensemble model.

Findings

The results of feature selection indicated that age, corpuscular hemoglobin concentration (CHC), red blood cell volume distribution width (RBCVDW), red blood cell volume and leucocyte count are five most important clinical/physical indicators in BG prediction. Furthermore, this study also found that the GBDT ensemble model combined with the proposed majority voting feature selection method is better than other three models with respect to prediction performance and stability.

Practical implications

This study proposed a novel BG prediction framework for better predictive analytics in health care.

Social implications

This study incorporated medical background and machine learning technology to reduce diabetes morbidity and formulate precise medical schemes.

Originality/value

The majority voting feature selection method combined with the GBDT ensemble model provides an effective decision-making tool for predicting BG and detecting diabetes risk in advance.

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Article

Javaid Ahmad Dar and Mohammad Asif

This study aims to fill the gap in income-environment literature by adding agricultural contribution to the nexus. The authors investigate the short-run and long-run…

Abstract

Purpose

This study aims to fill the gap in income-environment literature by adding agricultural contribution to the nexus. The authors investigate the short-run and long-run impact of agricultural contribution, renewable energy consumption, real income, trade liberalisation and urbanisation on carbon emissions for a balanced panel of five South Asian Association for Regional Cooperation (SAARC) countries spanning the period 1990-2013.

Design/methodology/approach

Pedroni and Kao cointegration techniques have been used to test the existence of long-run relationship between the variables. The directions of causal relationships have been verified using Granger causality tests. Further, the long-run parameters of the baseline equation have been estimated by using the fully modified ordinary least squares, the technique developed by Pedroni, (2001a) for heterogeneous cointegrated panels.

Findings

The result reveals that agricultural contribution and renewable energy consumption improve environmental quality in the long run, while urbanisation and per capita real income degrade it. The study did not find any evidence of “pollution heaven hypothesis” in the selected countries. The Granger causality tests confirm bidirectional causality between carbon emissions and income and between carbon emissions and urbanisation. In addition, there is unidirectional causality running from agricultural contribution to renewable energy consumption.

Originality/value

This is the only study to investigate the role of agriculture sector in carbon mitigation from a panel of South Asian economies. To the best of the authors’ knowledge, it is also the first study to test the applicability of “pollution heaven hypothesis” for SAARC countries.

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