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.     

Ending reassessment for employment and support allowance for some disabled people in the UK

In October 2016 the newly appointed UK Secretary of State for Work and Pensions, Damian Green, announced that some disabled people receiving Employment and Support Allowance would not face reassessment for their financial support to continue. This article critically engages with this announcement in the context of the publication of Improving Lives. The Work, Health and Disability Green Paper shortly afterwards.     

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.     

Bayesian inference: Weibull Poisson model for censored data using the expectation–maximization algorithm and its application to bladder cancer data

This article focuses on the parameter estimation of experimental items/units from Weibull Poisson Model under progressive type-II censoring with binomial removals (PT-II CBRs). The expectation–maximization algorithm has been used for maximum likelihood estimators (MLEs). The MLEs and Bayes estimators have been obtained under symmetric and asymmetric loss functions. Performance of competitive estimators have been studied through their simulated risks. One sample Bayes prediction and expected experiment time have also been studied. Furthermore, through real bladder cancer data set, suitability of considered model and proposed methodology have been illustrated.     

The Industry-Level Impact of Information Technology: An Empirical Analysis of Three Industries*

As noted by several observers, information technology (IT) has rapidly evolved from “part of the organizational overhead” into a strategic resource capable of changing patterns of competition within industries [8, p. 275]. However, while this evolution has become part of the fabric for literature exploring the strategic impact of IT, very few studies have been undertaken to determine the specific influence(s) of technology-based competition on industry structure. The development of analytical frames for capturing aspects of industry behavior provides a potentially powerful tool for evaluating the influence strategic IT initiatives may have on current bases of competition. Drawing from the theoretical disciplines of industrial economics and strategic management, this study develops a framework for analyzing longitudinal changes in industry structure. Working within this frame, the study then analyzes the nature and change of structure in three industries during and after the introduction of strategic information technology. The findings suggest that in each of these industries structural characteristics were dramatically altered subsequent to the introduction of competitive-based IT. In two of the industries (airlines and industrial chemicals), early adopters broke away from other industry participants, in effect, forming unique bases of competition. In the remaining industry (drug wholesalers), previously distinct bases of competition consolidated, resulting in a more competitive industry structure than that which existed prior to the technological innovation.     

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.     

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).     

Coastal settlement patterns and exposure to sea-level rise in the Jaffna Peninsula,Sri Lanka

The Jaffna Peninsula in Sri Lanka has a generally flat topography with a median elevation of 2.72 m, and thus faces a high risk from sea-level rise that has the potential to have adverse impacts on the livelihoods of coastal communities. Understanding these risks and identifying the regions that could be adversely impacted is critical for planning future settlements and developing preventative protocols where possible. The aim of this study was to analyze the exposure of coastal settlements of the Jaffna Peninsula to climate risks, particularly to sea-level rise, and to identify the areas that are likely to be impacted under different sea-level rise scenarios. Raster-based sea-level rise modeling was performed with a digital elevation model produced with topographic contours and spot heights. The spatial distribution of individual residential houses for the entire Jaffna Peninsula was obtained through manual digitization using virtual globe platforms and high-resolution satellite images, and the houses exposed to inundation under various Representative Concentration Pathways from 2025 to 2100 were identified. The results showed that a majority (55.5%) of the residential buildings in the Jaffna Peninsula are located within 3 m above sea level. Approximately 5554 (5.6%) of the houses were projected to be inundated by 2100, and this projection increased to approximately 25,074 (25.4%) under high tide scenarios. This study highlights the coastal communities with a high level of exposure to coastal inundation where adaptation planning is essential. These results provide insights for coastal managers and policy makers for future planning of new settlements and urban expansion.