Tamer Elshandidy, Philip J. Shrives, Matt Bamber and Santhosh Abraham
This paper provides a wide-ranging and up-to-date (1997–2016) review of the archival empirical risk-reporting literature. The reviewed papers are classified into two principal…
Abstract
This paper provides a wide-ranging and up-to-date (1997–2016) review of the archival empirical risk-reporting literature. The reviewed papers are classified into two principal themes: the incentives for and/or informativeness of risk reporting. Our review demonstrates areas of significant divergence in the literature specifically: mandatory versus voluntary risk reporting, manual versus automated content analysis, within-country versus cross-country variations in risk reporting, and risk reporting in financial versus non-financial firms. Our paper identifies a number of issues which require further research. In particular we draw attention to two: first, a lack of clarity and consistency around the conceptualization of risk; and second, the potential costs and benefits of standard-setters’ involvement.
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The purpose of this article is to report the application of failure mode and effect analysis (FMEA) to an automotive leaf spring manufacturing organization.
Abstract
Purpose
The purpose of this article is to report the application of failure mode and effect analysis (FMEA) to an automotive leaf spring manufacturing organization.
Design/methodology/approach
FMEA has been used as a decision‐making tool to prioritize the corrective actions so as to enhance product/system performance by reducing the failure rate. Both design and process FMEA documents have been developed by the systematic formation of team.
Findings
The study results indicated the actions that lead to improvement in design. There has been improvement in key decision factors apart from conventional factors. In addition, the quality of leaf springs produced also has been improved.
Research limitations/implications
Conventional design and process FMEA approaches have been developed. In future, fuzzified FMEA can be used.
Practical implications
FMEA has been systematically deployed in a typical industrial scenario. The real improvements have been gained as a result of implementation.
Originality/value
The article presents the results of the case study conducted in an industrial scenario. The contributions of the study are original and valuable.
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Seyi S. Stephen, Ayodeji E. Oke, Clinton O. Aigbavboa, Opeoluwa I. Akinradewo, Pelumi E. Adetoro and Matthew Ikuabe
The chapter provided a comprehensive overview of lean construction as a transformative paradigm within the building industry. It delved into the core principles, tools, and…
Abstract
The chapter provided a comprehensive overview of lean construction as a transformative paradigm within the building industry. It delved into the core principles, tools, and techniques of lean construction, emphasising its advantages and the challenges associated with its implementation. Furthermore, it highlighted the pivotal role of lean construction principles in streamlining building excellence during the construction stage. The chapter also explored the concept of lean construction for stealth construction, presenting practical applications and a case study to illustrate its efficacy. Overall, it offered a synthesised understanding of lean construction’s significance, potential, and challenges, concluding with a general summary of its implications for the building industry.
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Shaad Ahmad, Ahmad Abdullah and Faisal Talib
In a globalized environment, small and medium enterprises (SMEs) are facing formidable challenges. Not only do they have to keep up their profitability, but there is also a…
Abstract
Purpose
In a globalized environment, small and medium enterprises (SMEs) are facing formidable challenges. Not only do they have to keep up their profitability, but there is also a pressure from various stakeholders to add to their environmental and quality performance .The solution obviously lies in continuously adopting and improving upon lean-green practices in their operations. This work aims at identifying, classifying and building up a duly tested robust ranked-order model of such “enablers”, related to lean-green practices, that puts them (the enablers) in an order of being the most significant to being the least significant further to be accorded the same or similar weight in strategy formulation and implementation stage by Indian SMEs for enhancing their overall organizational performance.
Design/methodology/approach
The study identifies 20 enablers (12 lean and 08 green manufacturing enablers) through extensive literature review and experts' opinion survey and classifies them into three main categories. The ranking and significance of each of the main and subcategory enablers is evaluated according to its weight which is determined by the best-worst method (BWM) approach, one of the novel multi-criteria decision-making (MCDM) methods. Further, the results have been drawn after running accuracy check of the rankings (based upon optimal weights) and testing the robustness of the ranked-order model through sensitivity analysis.
Findings
The results of this study reveal that out of the three main category enablers, “operational performance enablers (E1)” and “quality performance enablers (E3)” are the most and the least significant enablers, while in the group of 20 subcategory enablers, “Kaizen (E17)” and “environment emission control (E28)” are the most and the least significant subcategory enablers, respectively.
Practical implications
The prioritization model or ranked-order model of the lean-green manufacturing enablers proposed through this study may serve as a standard model to managers to help them decide and allocate their efforts and resources accordingly in managing their operations. This will also help them adopt high-ranking lean-green manufacturing enablers in their firms and benchmark and standardize their existing practices accordingly, leading to greater competitive advantage.
Originality/value
The study identifies various green-lean manufacturing enablers in SMEs, classifies them into three main categories and ranks them using BWM approach. The findings of this study should be extremely relevant to managers, manufacturing engineers and practitioners in Indian SMEs from the perspective of developing deeper appreciation of these enablers as per their relative ranked importance to further formulating an effective and efficient strategy for their implementation resulting in optimal results.
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Dimas Campos de Aguiar, Valério Antonio Pamplona Salomon and Carlos Henrique Pereira Mello
The purpose of this paper is to present a structured way for the definitions of the Process Failure Mode and Effect Analysis (FMEA) attributes, such as potential failure mode…
Abstract
Purpose
The purpose of this paper is to present a structured way for the definitions of the Process Failure Mode and Effect Analysis (FMEA) attributes, such as potential failure mode, potential cause and potential effect, in order to make it simpler to define the controls and scores.
Design/methodology/approach
This study performs, through a case study in incoming inspection of raw material, the comparison of a conventional application of the Process FMEA with a proposal based on the concepts of process approach defined by ISO 9001.
Findings
Even written in a form similar to a script, the application of Process FMEA is a very complex activity and, like most quality tools, before being applied, FMEA should be clearly understood by the team. One way to facilitate this understanding is considering the sequence of events in the failures analysis to understand their causes and effects, just as are the sequences of inputs and outputs in the definition of the process approach addressed in ISO 9001.
Originality/value
This paper shows a simple way to better structure Process FMEA, facilitating meetings with multidisciplinary teams.
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This paper aims to evaluate the progress made in achieving sustainable development goal-2 (SDG 2) in India, with a focus on ending hunger, ensuring food security, improving…
Abstract
Purpose
This paper aims to evaluate the progress made in achieving sustainable development goal-2 (SDG 2) in India, with a focus on ending hunger, ensuring food security, improving nutrition and promoting sustainable agriculture. The assessment uses data from SDG Index reports, which offer a comprehensive overview of the advancements made by 28 states and 8 union territories (UTs) in India.
Design/methodology/approach
The evaluation is based on information derived from three editions of the SDG Index reports, initially published in 2018 and subsequently in 2019 and 2020. These reports provide a detailed analysis of the status and achievements of different states and UTs in relation to SDG 2. The categorization of states and UTs into aspirant, performer, front runner and achiever categories serves as a crucial framework for assessing the progress.
Findings
Despite concerted efforts by India, the majority of states and UTs are positioned in the aspirant and performer categories, suggesting that significant challenges persist in achieving SDG 2 targets. The results emphasize the necessity for stronger measures to elevate states and UTs to the categories of front-runners and achievers. The persistent challenges of malnutrition, hunger and their economic ramifications require immediate and strategic interventions to address these pressing concerns.
Originality/value
This paper contributes to the existing literature by providing a comprehensive analysis of the progress towards SDG 2 in India, using the insights from the SDG Index reports. The categorization framework used in this assessment offers a nuanced understanding of the challenges faced by different regions, highlighting the original contribution of this study. The findings underscore the urgency of targeted efforts to address malnutrition, hunger and related issues, emphasizing the importance of sustained commitment to achieving SDG 2 for the overall well-being of vulnerable populations.
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Venkateswaran M., Govindaraju C. and Santhosh T.K.
Power converters are an integral part of the energy conversion process in solar photovoltaic (PV) systems which is used to match the solar PV generation with the load…
Abstract
Purpose
Power converters are an integral part of the energy conversion process in solar photovoltaic (PV) systems which is used to match the solar PV generation with the load requirements. The increased penetration of renewable invokes intermittency in the generated power affecting the reliability and continuous energy supply of such converters. DC-DC converters deployed in solar PV systems impose stringent restrictions on supplied power, continuous operation and fault prediction scenarios by continuously observing state variables to ensure continuous operation of the converter.
Design/methodology/approach
A converter deployed for a mission-critical application has to ensure continuous regulated output for which the converter has to ensure fault-free operation. The fault diagnostic algorithm relies on the measurement of a state variable to assess the type of fault. In the same line, a predictive controller depends on the measurement of a state variable to predict the control variable of a converter system to regulate the converter output around a fixed or a variable reference. Consequently, both the fault diagnosis and the predictive control algorithms depend on the measurement of a state variable. Once measured, the available data can be used for both algorithms interchangeably.
Findings
The objective of this work is to integrate the fault diagnostic and the predictive control algorithms while sharing the measurement requirements of both these control algorithms. The integrated algorithms thus proposed could be applied to any converter with a single inductor in its energy buffer stage.
Originality/value
laboratory prototype is created to verify the feasibility of the integrated predictive control and fault diagnosis algorithm. As the proposed method combine the fault detection algorithm along with predictive control, a load step variation and manual fault creation methods are used to verify the feasibility of the converter as with the simulation analysis. The value for the capacitors and inductors were chosen based on the charge-second and volt-second balance equations obtained from the steady-state analysis of boost converter.
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Gopal Agrawal and Sangram Kishor Patel
A plethora of studies have documented evidence on morbidity patterns and treatment-seeking behaviour among older persons in India. However, so far no attempt has been made to…
Abstract
Purpose
A plethora of studies have documented evidence on morbidity patterns and treatment-seeking behaviour among older persons in India. However, so far no attempt has been made to understand differences in the morbidity prevalence rates and utilization of health care services among older adults between religion groups in India. The purpose of this paper is to make an effort in this direction.
Design/methodology/approach
Multivariate logistic regression models were fitted to examine the association between socio-demographic conditions and morbidity prevalence and health care-seeking behaviours among the two religion groups: Hindu and Muslim. Data from the 60th round of the National Sample Survey in 2004 were used.
Findings
This study provided interesting evidence that, overall, the morbidity prevalence rate was higher among Muslim older persons than their Hindu counterparts by seven percentage points and Hindu scheduled caste (SC) and scheduled tribe (ST) counterpart population (compared to SCs eight percentage points, and STs 20 percentage points); income had no association with the burden of disease among Muslim older population – an older person belonging to the first income quintile was equally likely to report ill-health as an older person of the fifth income quintile. However, despite the low socio-economic status, Muslim older persons were more likely to seek treatment for ill-health compared to Hindu older persons but spent less money for treatment. Also, loss of household income due to sickness was greater among Muslim compared to Hindu older adults.
Originality/value
The findings of this study are important to support the policy makers and health care providers in identifying individuals “at risk” and could be integrated into the current programs of social, economic and health security for the older persons.
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G. Sundaramali, C. Vishal Reddy, Revanth Vinay Kumar Kodali, Sherin Thomas Sipri, K. Santhosh Raj, S. Anirudh and Senthil Kumaran Selvaraj
This research work focuses on implementing this methodology in reducing the rejection rate of the turbocharger component problem that occurs during the manufacturing process…
Abstract
Purpose
This research work focuses on implementing this methodology in reducing the rejection rate of the turbocharger component problem that occurs during the manufacturing process. Using design, measure, analyze, improve and control (DMAIC) processes, it has been identified that clamping pressure on the component is one factor that affects quality. The impact of clamping pressure is studied to arrive at the ideal clamping pressure in which the rejection rate is the least.
Design/methodology/approach
Quality is the keyword in manufacturing where the production of a defect-free component is the most sought out objective. The definition of quality keeps getting refined throughout the years, from making products with no defects to minimizing rejection and scrap in the manufacturing process. Production facilities, to achieve this purpose, have adopted various methods and use of the DMAIC of Six Sigma methodology is one among them.
Findings
The study identified the fault causing the defect and suggested the methods to correct the fault. The suggestions would result in reducing the losses arising due to this and similar rejection causes.
Originality/value
With the adoption of DMAIC, it is found that misalignment of top and side clamp pressure is zero. When the side clamp pressure is at 75 PSI, and top clamp pressure is changed from 90 PSI to 95 PSI, the mean of responses is greater than the side clamp pressure of 80 PSI. Therefore, from the three-combination top clamp pressure of 100 PSI and the side clamp pressure of 75 PSI is the optimal condition.
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Gobikannan Tamilmani, Venkhatesan D., Santhosh P., Tamilselvan M., Suryappa Jayappa Pawar and Amin Hirenbhai Navinbhai
This paper aims to study the combination of photochromic microcapsules, which use the ultraviolet (UV) rays for colour changing phenomena, and titanium oxide (TiO2) nanoparticles…
Abstract
Purpose
This paper aims to study the combination of photochromic microcapsules, which use the ultraviolet (UV) rays for colour changing phenomena, and titanium oxide (TiO2) nanoparticles (NPs), which block the UV rays by their photocatalytic activity in the sunlight on the cotton fabric.
Design/methodology/approach
The TiO2 NPs mixed with photochromic printing paste are used for coating on cotton fabric and further curing is performed in a one-step process. The photochromic pigment printed fabric impregnated in a liquid solution is processed in a two-step process with two variables such as 1% TiO2 and 2% TiO2. The characterization of samples was done with a UV transmittance analyser, surface contact angle, antimicrobial test and fabric physical properties.
Findings
The UV protection of TiO2-treated photochromic printed fabric was high and gives the ultraviolet protection factor rating of 2,000 which denotes almost maximum blocking of UV rays. The antibacterial activity of the one-step samples shows the highest 36 mm zone of inhibition (ZOI) against S. aureus (gram-positive) and 32 mm ZOI against E. coli (gram-negative) bacteria. The one-step sample shows the highest static water contact angle of 118.6° representing more hydrophobicity, whereas the untreated fabric is fully wetted (0.4°). In two-step processes, as the concentration of TiO2 increased, the antibacterial activity, UV blocking and hydrophobicity became better.
Originality/value
This work achieves the multifunctional finishes by using photochromic microcapsules and NPs in a single process as a first attempt. The results inferred that one-step sample has achieved higher values in most of the tests conducted when compared to all other sample.