What Characterises Women Vulnerable to Chronic Energy Deficiency?

Weight-for-squared height or body mass index (BMI) is often considered as an effective predictor of morbidity and mortality rates. This study uses BMI data from a sample of ever-married women in the age group of 15–49 years in the North Indian state of Uttar Pradesh for the year 1998–1999, to analyse the determinants of chronic energy deficiency (CED) and estimate the population vulnerable to CED. The results highlight that CED rates and vulnerability rates can be very different, emphasizing need for policy intervention to focus on ‘potential’ CED persons. The characteristics of vulnerable population identified would be appropriate channels for policy intervention.

Globalization and migration in the contemporary world order: an insight into the postnational condition and the diasporas

In the new millennium, nations and nationalism persevere despite scholarship that has both anticipated and declared their demise. Globalization, which brings flow of capital, goods, ideas, people and technology, has a tremendous undeniable impact on every sphere of the contemporary world. The growing connectivity amongst the nation-states at physical, imaginative and virtual levels facilitates transnational networks that produce new types of migrants who do not respect national borders. The diaspora communities today are no longer confined in the homeland/hostland binary. The globalized economy, technology and the world society provide enough space for those with hyphenated identities to survive as a connecting link not only with the homeland but also with other diasporic nodes with common origin and cultural/ethnic background. Thus, a new diaspora is taking shape which is highly mobile and interconnected. Viewed in this perspective, this paper aims to explore the changing configurations of diasporic identities in the context of a much eulogized postnational condition engendered by increasing transnational activities that defy the stringent idea of nation and its state’s territorial boundaries questioning the very viability of nation-states in the present era of globalization.     

Testing for multiple upper and lower outliers in an exponential sample

Due to wide applicability and simplicity, the exponential distribution is the most commonly used distribution in reliability engineering and other life testing experiments. In this paper a test statistic for testing upper and lower outliers simultaneously in an exponential sample is proposed. However, the distribution of test statistic under the alternative is rather intricate, the null distribution is derived and critical values are obtained. A simulation study is also carried out to compare the performance of test and is found that the test based on this statistic is more powerful than the other two selected tests.     

Optimum mixture designs in some constrained experimental regions

In a mixture experiment, the response depends on the mixing proportions of the components present in the mixture. Optimum designs are available for the estimation of parameters of the models proposed in such situations. However, these designs are found to include the vertex points of the simplex Ξ defining the experimental region, which are not mixtures in the true sense. Recently, Mandal et al. (2015 Mandal, N.K., Pal, M., Sinha, B.K., and Das, P. (2015). Optimum mixture designs in a restricted region. Stat. Pap. 56(1):105–119.[Crossref], [Web of Science ®] , [Google Scholar]) derived optimum designs when the experiment is confined to an ellipsoidal region within Ξ, which does not include the vertices of Ξ. In this paper, an attempt has been made to find optimum designs when the experimental region is a simplex or is cuboidal inside Ξ and does not contain the extreme points.     

An extended Maxwell distribution: Properties and applications

In this article, we propose an extension of the Maxwell distribution, so-called the extended Maxwell distribution. This extension is evolved by using the Maxwell-X family of distributions and Weibull distribution. We study its fundamental properties such as hazard rate, moments, generating functions, skewness, kurtosis, stochastic ordering, conditional moments and moment generating function, hazard rate, mean and variance of the (reversed) residual life, reliability curves, entropy, etc. In estimation viewpoint, the maximum likelihood estimation of the unknown parameters of the distribution and asymptotic confidence intervals are discussed. We also obtain expected Fisher’s information matrix as well as discuss the existence and uniqueness of the maximum likelihood estimators. The EMa distribution and other competing distributions are fitted to two real datasets and it is shown that the distribution is a good competitor to the compared distributions.     

Ergonomic design of crane cabins: a case study from a steel plant in India

The study, carried out at the Batch Annealing Furnace (BAF) shop of Cold Rolling Mill (CRM) at an integrated steel plant of India, concerns ergonomic evaluation and redesign of a manually-operated Electrical Overhead Travelling (EOT) crane cabin. The crane cabin is a complex worksystem consisting of the crane operator and twelve specific machine components embedded in a closed workspace. A crane operator has to perform various activities, such as loading and unloading of coils, setting and removal of convector plates, and routine maintenance work. Initially, an operator had to work in standing posture with bent back most of the time. Ergonomically poor design of the chair and the controls, awkward work postures, and insufficient vision angle resulting in musculoskeletal disorders (MSDs) are some of the critical problems observed.. The study, conceived as an industry-academia joint initiative, was undertaken by a design team, the members of which were drawn from both the company concerned and the institute. With the project executed successfully, a number of lessons, such as how to minimize the anthropometric mismatch, how to improve the layout of the components and controls within enclosed workspace, and how to improve work posture minimizing risk of MSDs have been learned.     

Biomechanical modelling and evaluation of construction jobs for performance improvement

Occupational risk factors, such as awkward posture, repetition, lack of rest, insufficient illumination and heavy workload related to construction-related MMH activities may cause musculoskeletal disorders and poor performance of the workers, ergonomic design of construction worksystems was a critical need for improving their health and safety wherein a dynamic biomechanical models were required to be empirically developed and tested at a construction site of Tata Steel, the largest steel making company of India in private sector. In this study, a comprehensive framework is proposed for biomechanical evaluation of shovelling and grinding under diverse work environments. The benefit of such an analysis lies in its usefulness in setting guidelines for designing such jobs with minimization of risks of musculoskeletal disorders (MSDs) and enhancing correct methods of carrying out the jobs leading to reduced fatigue and physical stress. Data based on direct observations and videography were collected for the shovellers and grinders over a number of workcycles. Compressive forces and moments for a number of segments and joints are computed with respect to joint flexion and extension. The results indicate that moments and compressive forces at L5/S1 link are significant for shovellers while moments at elbow and wrist are significant for grinders.     

Risk analysis of estimates for cost of quality in supply chain: a case study

Risk analysis for Cost of Quality (CoQ) in supply chain has not been adequately researched as evidenced in the literature. This paper attempts to analyse risk involved in estimating elements of CoQ in the internal supply chain of an integrated aluminium manufacturing company. We have applied grounded theory methodology on accounting codes of the case company primarily to bring out various elements of CoQ in its internal supply chain. They are categorized as ‘cost of prevention’, ‘cost of defective inputs’, ‘cost of defect in process’, and ‘cost of defect in output’. These elements are considered to be risky due to availability of partial information in past records of accounts while applying grounded theory methodology. In order to estimate the range and probabilities of all possible outcomes of various categories CoQ in the supply chain, Monte Carlo simulation has been used. The results have facilitated decision makers in strategic total quality management.     

Linking Food Security with Household’s Adaptive Capacity and Drought Risk: Implications for Sustainable Rural Development

In spite of green revolution and rapid economic growth, India’s vast population still suffers from hunger and poverty, especially in the rural areas. Moreover, drought adversely affects India’s economy by declining agricultural production and purchasing power. It also escalates rural unemployment which ultimately affects household food security. Our study investigated the food security of drought prone rural households in a broader context by linking the dimensions of food security with dimensions of climate change vulnerability. We used the primary data of 157 drought prone rural households of Odisha state in India for analysis. This study employed polychoric principal component analysis to construct an aggregate food security index. An ordered probit model was used to estimate the determinants of food security. The FSI showed that three-fourth of the respondents were facing food security issues with varying degrees. The estimates of ordered probit model indicated that joint family, education, migration and health insurance are key variables that determine food security, whereas drought adversely affected food security of rural households. Overarching strategies are required to effectively address food security issues in the wake of increased drought risk. This study provides an insight for policy makers in India and in similar south Asian countries who must consider food security in the light of drought.

     

An Effectual–Causal View of Managerial Decisions in the Internationalization of Indian MNEs

We use effectuation theory to understand the internationalization of emerging market multinational enterprises (EMNEs), specifically answering the questions of: (a) how managerial decision logic differs across EMNEs that face disadvantages vs. those that do not, and (b) what managerial decision logic helps EMNEs to mitigate disadvantages. We employ a case research approach to analyze decision events across eight firms that internationalized from India between 1990 and 2015. We find that EMNEs are attuned to welcoming and leveraging surprises in order to transform challenging markets into opportunities; form cautious partnerships with self-selecting stakeholders, and; balance all-or-nothing opportunities with losses they can afford. Furthermore, while EMNEs adopt relatively balanced effectual-causal actions to mitigate the liability of multinationality (LoM), they are more effectual than causal in mitigating the liabilities of foreignness (LoF) and liabilities of origin (LoR).