Process-related Issues Research Articles

Sectoral Analysis of Corporate Environmental Disclosure of Listed Manufacturing Companies in Nigeria

Corporate reporting practice seems to be treated towards activities that bordered investors’ interest with little or no information emphasizing on their impacts on the environment. Despite the harmful effects, such as pollution, resulting from the operations of these companies, there appears to be a reluctance to disclose detailed information about the extent of their environmental impact. This study offers empirical evidence through a sectoral analysis of corporate environmental reporting among listed manufacturing companies. It adopts an ex-post facto research design, examining a population of seventy-six (76) listed manufacturing companies across seven (7) sectors. Descriptive and inferential statistics were employed in the analysis of data collected through content analysis from the annual reports of the companies for a period of five (5) years (2018-2022). The results revealed sectoral differences in environmental disclosure, with the Oil and Gas sector leading in overall environmental reporting, especially regarding environmental policies. The Consumer Goods sector disclosed the most information on product and process-related environmental issues, highlighting the negative impacts of manufacturing. The study concludes that significant variations exist in corporate environmental reporting among sectors and recommends a standardized template for environmental disclosure to ensure uniformity among listed firms in Nigeria.

تحديد العمر المتبقي لأوعية الضغط الأسطوانية باستخدام تقنية الفحص بالموجات فوق الصوتية: دراسة حالة

Pressurized pressure vessels utilized in the upstream sector of the oil and gas industry commonly experience in-service deterioration caused by factors such as corrosion and process-related issues. Most current research has emphasized the significance of calculating remaining lifetime (RLT) but with a little concentration on the Ultrasonic test (UT) for remaining life assessment. In this work, a case study of the pressure vessel unit (20-v-200) belonging to Basra Oil Company (BOC) at Hammar Mishrif Degassing Station (HM-DGS) is conducted. A nondestructive test (NDT) by UT technique was employed over the suspected area of the pressure vessel. Where it was identified the condition monitoring locations (CMLs) around the shell and heads of the pressure vessel, were marked twenty-one locations to obtain their wall thickness measurement. The results of the remaining lifetime showed that for shell and head were computed as 52.9 years and 56.8 years, respectively. Therefore, based on the present result, it can be deduced that the pressure vessel can remain in operation or continue to be in service for the next 52.9 years under the same process conditions. This assessment considers the existing condition of the vessel and indicates that it can meet the required safety and operational standards for an extended duration. However, as an experienced entrepreneur, I would advise that thickness measurement inspections should be conducted within a timeframe that does not exceed either half of the remaining life of the vessel or a maximum of 10 years, according to API 510. This recommendation ensures that regular assessments are performed to monitor the thickness and condition of the vessel. By adhering to this practice, timely maintenance and necessary repairs can be identified and carried out, contributing to the continued integrity and safety of the vessel throughout its operational lifespan.

Design and sensitivity analysis of GAA nanowire dopingless FET based label free biosensor

This paper proposes a highly sensitive nanoscale label-free biosensor upon charge plasma based gate-all-around nanowire dopingless field effect transistor (GAA NW DL FET Biosensor) for the detection of biomolecules. The proposed sensor device structure employs charge plasma and dopingless approaches to eliminate the requirement for doping. The thermionic emission of FET structures increases the device’s current sensitivity (SI) for various targeted biomolecules introduced through the nanocavity created at the source side/metal of the proposed biosensor. To test the significant sensing performance of the device proposed herein, the biomolecules streptavidin with a dielectric constant (K) of 2.1, 3-aminopropyltriethoxysilane (APTES) with a K value of 3.57, and protein with a K value of 8 are utilized. The proposed sensor resulted in drain current sensitivity as high as 1.4 of protein biomolecule. An extensive analysis was performed to evaluate the efficiency of the proposed sensor with process-related issues such as cavity length variations ranging from 21 nm to 3 nm and real-time related issues such as fill factor variations ranging from 20% to 100% and interface charges for the targeted biomolecules, and their sensitivity parameters were investigated, demonstrating the promising features of GAA NW DL FET biosensor as an ultrasensitive biosensor for clinical applications.

A novel TFET based nanogap high-sensitive biosensor by boosted reliability- new metric for sensitivity definition

This is a detailed report about the proposal of an efficient nanogap dielectrically modulated tunnel field-effect transistor (TFET) biodevice granting a high sensitivity in the detection of the targeted biomolecules while keeping high performance in the realistic situations with boosting the reliability. Two attractive approaches in the cases of the bandgap engineering and charge plasma concept have been suggested for the band energy correction increasing the sensing current and the sensitivity without occurrence possibility of fabrication process related issues as compared to common TFET and PNPN TFET biosensors. The streptavidin, biotin and APTES samples have been selected as typical biomolecules for the sensing performance comparison of the biosensors under the study. Also, the proposed biosensor showed performance superiority for other biomolecules. For the first time, a new metric for measuring sensitivity is proposed to combine both maximum current sensitivity and well-defined average sensitivity in a unique relation named effective sensitivity. This prevents the possible noise impact on the sensitivity of the biosensors since the TFET based biosensors suffer from the low detection current. Defining the effective sensitivity, the proposed biosensor has been evaluated in more realistic conditions including partial hybridization of biomolecules inside the nanogap, trap-assisted-tunneling (TAT) component, neutral/charged biomolecules and biomolecules accumulation in different orientations showing the performance superiority of the proposed biosensor.

Advances in the Application of Black Phosphorus-Based Composite Biomedical Materials in the Field of Tissue Engineering.

Black Phosphorus (BP) is a new semiconductor material with excellent biocompatibility, degradability, and optical and electrophysical properties. A growing number of studies show that BP has high potential applications in the biomedical field. This article aims to systematically review the research progress of BP composite medical materials in the field of tissue engineering, mining BP in bone regeneration, skin repair, nerve repair, inflammation, treatment methods, and the application mechanism. Furthermore, the paper discusses the shortcomings and future recommendations related to the development of BP. These shortcomings include stability, photothermal conversion capacity, preparation process, and other related issues. However, despite these challenges, the utilization of BP-based medical materials holds immense promise in revolutionizing the field of tissue repair.

Application of lean and quality improvement methods for improving operational performance in coal supply chains: a case study

PurposeThe application of lean and quality improvement methods is very common in process improvement projects at organisational levels. The purpose of this research is to assess the adoption of Lean Six Sigma™ approaches for addressing a complex process-related issue in the coal industry.Design/methodology/approachThe sticky coal problem was investigated from the perspective of process-related issues. Issues were addressed using a blended Lean value stream of supply chain interfaces and waste minimisation through the Six Sigma™ DMAIC problem-solving approach, taking into consideration cross-organisational processes.FindingsIt was found that the tendency to “solve the problem” at the receiving location without communication to the upstream was, and is still, a common practice that led to the main problem of downstream issues. The application of DMAIC Six Sigma™ helped to address the broader problem. The overall operations were improved significantly, showing the reduction of sticky coal/wagon hang-up in the downstream coal handling terminal.Research limitations/implicationsThe Lean Six Sigma approaches were adopted using DMAIC across cross-organisational supply chain processes. However, blending Lean and Six Sigma methods needs to be empirically tested across other sectors.Practical implicationsThe proposed methodology, using a framework of Lean Six Sigma approaches, could be used to guide practitioners in addressing similar complex and recurring issues in the manufacturing sector.Originality/valueThis research introduces a novel approach to process analysis, selection and contextualised improvement using a combination of Lean Six Sigma™ tools, techniques and methodologies sustained within a supply chain with certified ISO 9001 quality management systems.

Continuous flow synthesis of metal nanowires: protocols, engineering aspects of scale-up and applications.

This review comprehensively covers the translation from batch to continuous flow synthesis of metal nanowires (i.e., silver, copper, gold, and platinum nanowires) and their diverse applications across various sectors. Metal nanowires have attracted significant attention owing to their versatility and feasibility for large-scale synthesis. The efficacy of flow chemistry in nanomaterial synthesis has been extensively demonstrated over the past few decades. Continuous flow synthesis offers scalability, high throughput screening, and robust and reproducible synthesis procedures, making it a promising technology. Silver nanowires, widely used in flexible electronics, transparent conductive films, and sensors, have benefited from advancements in continuous flow synthesis aimed at achieving high aspect ratios and uniform diameters, though challenges in preventing agglomeration during large-scale production remain. Copper nanowires, considered as a cost-effective alternative to silver nanowires for conductive materials, have benefited from continuous flow synthesis methods that minimize oxidation and enhance stability, yet scaling up these processes requires precise control of reducing environments and copper ion concentration. A critical evaluation of various metal nanowire ink formulations is conducted, aiming to identify formulations that exhibit superior properties with lower metal solid content. This study delves into the intricacies of continuous flow synthesis methods for metal nanowires, emphasizing the exploration of engineering considerations essential for the design of continuous flow reactors. Furthermore, challenges associated with large-scale synthesis are addressed, highlighting the process-related issues.

Advancing verification of process mining models with quantitative model checking in stochastic environment

The study of business process analysis and optimization has attracted significant scholarly interest in the recent past, due to its integral role in boosting organizational performance. A specific area of focus within this broader research field is Process Mining (PM). Its purpose is to extract knowledge and insights from event logs maintained by information systems, thereby discovering process models and identify process-related issues. The goal of the current study is to examine how Quantitative Model Checking (QMC) approaches might be applied in the context of PM. Model checking is a well-known verification approach that provides thorough analysis and validation of a system’s properties in comparison to a predetermined model. The adoption of QMC is aimed at improving the accuracy, reliability, and comprehensiveness of PM models in stochastic environment. We propose a novel methodology in this research direction, which integrates QMC with PM by formally modelling discovered and replayed process models and applying QMC methods to verify PM models. The potential of QMC to overcome significant drawbacks of the existing methodologies is the main driver for its use in PM. By including probabilistic model verification, it is possible to take into account the uncertainties and stochastic behaviour that are frequently present in systems that are used in real world; while statistical model checking methods utilized where probabilistic methods fails/not suitable, such as, to handle complex models and/or models with large state-spaces.

Statistical Model Checking in Process Mining: A Comprehensive Approach to Analyse Stochastic Processes

The study of business process analysis and optimisation has attracted significant scholarly interest in the recent past, due to its integral role in boosting organisational performance. A specific area of focus within this broader research field is process mining (PM). Its purpose is to extract knowledge and insights from event logs maintained by information systems, thereby discovering process models and identifying process-related issues. On the other hand, statistical model checking (SMC) is a verification technique used to analyse and validate properties of stochastic systems that employs statistical methods and random sampling to estimate the likelihood of a property being satisfied. In a seamless business setting, it is essential to validate and verify process models. The objective of this paper is to apply the SMC technique in process mining for the verification and validation of process models with stochastic behaviour and large state space, where probabilistic model checking is not feasible. We propose a novel methodology in this research direction that integrates SMC and PM by formally modelling discovered and replayed process models and apply statistical methods to estimate the results. The methodology facilitates an automated and proficient evaluation of the extent to which a process model aligns with user requirements and assists in selecting the optimal model. We demonstrate the effectiveness of our methodology with a case study of a loan application process performed in a financial institution that deals with loan applications submitted by customers. The case study highlights our methodology’s capability to identify the performance constraints of various process models and aid enhancement efforts.

Determination of Sustainable Factors in Green Supply Chain Management With the Adoption of Green Logistics in the Manufacturing Industry

The economic performance of all nations and regions is significantly influenced by logistics. The performance of logistics is influenced by international trade and urbanization. Performance in logistics is significantly impacted by urbanization. However, logistics has drawbacks because it consumes a lot of energy. Because of increased traffic and urbanization, carbon emissions rise along with logistical performance. Positive effects of logistics performance are linked to trade openness, which lowers carbon emissions. Therefore, it is crucial to comprehend how logistics work from both an economic and an environmental perspective. Consequently, the article proposed to study the logistics performance which affects the environmental health and economic growth in a sustainable economy in India. However, the repair quality and performance of the repaired parts have been limited because of morphological and process-related quality control issues caused by the formation mechanism and deposition process. The main reason is that it is difficult due to the coupling of numerous process factors to precisely forecast the deposited layer shape and surface properties, making it challenging to control the process. The deposited layer formation mechanism and morphological features deposition of directed energy were thus analyzed using a particle swarm optimization-back propagation-based model for forecasting the morphology of defective items. The study also concentrated on determining how three green logistics organizations performed with their adoption of green logistics practices. The study used a cross-sectional survey research design and was informed by the positivist research philosophy. Through the use of a structured questionnaire, primary data were gathered. Three widely utilized techniques, construct reliability (CR), Average Variance Extracted (AVE), as well as Cronbach’s alpha, were employed to test validity and reliability. The remanufacturing tests have confirmed the proposed model’s accuracy for predicting defective layer morphology, with an impressively low average error prediction of just 1.203%. This breakthrough has far-reaching implications for industries like metallurgy, aerospace, and also energy and represents a major advancement in green remanufacturing technology.

Issues and Challenges of Quality Assurance in Higher Education Institutes: A Systematic Literature Review

Quality Assurance is a timely topic in higher education that ensures the quality has been fulfilled in order to achieve the expected objectives. While many success stories and improvements have been reported, implementation issues and challenges have been highlighted in quality assurance systems. Therefore, a systematic literature review can be used to be aware of recent advancements and unsolved problems of the scenario. To this end, this study reviews the related research studies highlighting the issues, challenges, and proposed solution approaches. Accordingly, this study identified issues of quality assurance under three main categories: 1. institute-related issues, 2. quality assurance process related issues, and 3. quality assurance stakeholder related issues. Further, three main solution approaches were identified: 1. attitude changes and increasing the awareness of stakeholders, 2. policy-level changes of the system, and 3. quality assurance process improvements and facilitating information system solutions to address these issues. Among these solutions, process improvements and information system solutions can be identified as a substantial solution to address these issues. However, to create an effective information system solution to facilitate higher education quality assurance, a reliable model is necessary. This literature review highlights the lack of such a reliable model for developing an information system that aims to facilitate higher education quality assurance.

Digital Twin Applications in Manufacturing Industry: A Case Study from a German Multi-National

This article examines how digital twins have been used in a multi-national corporation, what technologies have been used, what benefits have been delivered, and the significance of people- and process-related issues in achieving successful implementation. A qualitative, inductive research method is used, based on interviews provided by key personnel involved in three digital twin projects. The article concludes that digital twin projects are likely to involve incremental rather than disruptive change, and that successful implementation is usually underpinned by ensuring technology, people, and process change factors are progressed in a balanced and integrated fashion. Building upon existing frameworks, three “properties” are identified as being of particular value in digital twin projects—workforce adaptability, technology manageability, and process agility—and a related set of steps and actions is put forward as a template and point of reference for future digital twin implementations. The combination of assessing digital properties and following a set of key actions represents a novel approach to digital twin project planning, and overall the findings are a contribution to the developing theory around digital twins and digitalization, in general, and are also of relevance to professionals embarking on DT projects.

Non-pharmacological educational and self-management interventions for people with chronic headache: the CHESS research programme including a RCT

Non-pharmacological educational and self-management interventions for people with chronic headache: the CHESS research programme including a RCT

Investigating Complex Geometrical Features in LPBF-Produced Parts: A Material-Based Comparison Between Different Titanium Alloys

The Ti–6Al–4V (Ti64) alloy is a well-established material to be processed via laser powder bed fusion (LPBF). Recently, other α + β titanium alloys are receiving attention, such as Ti–6Al–2Sn–4Zr–6Mo (Ti6246). Their typical industrial fields of application (aerospace, automotive), often require critical design choices, such as low wall thicknesses and hollow channels. Thus, a comparative analysis between these two competitor alloys in terms of processability was conducted in this work. To do so, specific sample designs were developed. The specimens were analyzed in terms of geometrical compliance with the initial design, porosity, and microstructure. A correlation between the width of the specimens and their porosity, microstructure and hardness was found. Overall, both the alloys proved to be well processable, even for very low wall thickness (300 μm) and channel diameter (1 mm) values. Nevertheless, the Ti6246 alloy seemed to behave better in specific scenarios. For instance, some Ti64 specimens provided delamination. The hollow channels proved to be challenging for both materials, mainly due to the high amount of residual powder particles adhered to the upper part of the holes. This works aims at giving a materials perspective on process-related issues, considering the LPBF-induced defectology and microstructural variations in these Ti alloys.Graphical

Coverage, delays and implementation challenges of ‘Direct Benefit Transfer’ in the National Tuberculosis Elimination Programme – A mixed methods study

IntroductionFood insecurity and undernutrition both contribute to the large tuberculosis burden in India. Indian government rolled out the direct benefit transfer (DBT) programme “Nikshay Poshan Yojana” on a national scale on April 1, 2018 largely to provide nutritional support. Hence, it was proposed to take up this study in Western Maharashtra (Pune district) to study the coverage, delays and implementation challenges of ‘Direct Benefit Transfer’ in the National Tuberculosis Elimination Programme as there have only been a limited number of studies conducted regarding the same. MethodologyThis mixed methods study was conducted at Tuberculosis Units (TUs) under District Tuberculosis Officer (DTO) in Western Maharashtra (Pune district) for the duration August 2020 to September 2022. A total of 3373 participants were included for the quantitative component. For qualitative component In-depth interviews of key informants (healthcare providers involved in the implementation of Direct Benefit Transfer) and Focus Group Discussion (FGD) for patients and care givers was done and explored using thematic analysis. ResultsThe total coverage was found to be 76.81%. The health providers reported staff related challenges (overburden and non-cooperative staff), bank related issues (local and cooperate banks not involved in the Public Financial Management System (PFMS) loop and lack of bank account), patient related issues (fear of being scammed), the DBT process (lengthy and complex) and software related issues as major hurdles involved in the scheme's implementation. The challenges to the implementation of DBT reported by the beneficiaries (TB patients) were lack of awareness and disbelief about the scheme, bank related issues (lack of bank account and necessary documents to open account), financial challenges (job insecurity, loans), physical challenges (weakness) and delays in delivering the benefit due to software errors. ConclusionIn the present study the DBT coverage was very encouraging. The common challenges identified by the staff members and patients in the implementation of the scheme were lack of awareness about the scheme, bank related issues and software issues. To increase the coverage of DBT, it is vital that these issues be resolved.

The need to localize energy technologies for Africa's post COVID-19 recovery and growth

Africa has limited capacity to develop its own energy technologies and has been largely dependent on importation for its economic development. It is anticipated that there will be huge challenge for the very limited manufacturing industries in the continent to respond to the increasing energy demand. This will largely require the up scaling of the local manufacturing industries in-terms of skills, design capability, engineering management, manufacturing process and other related issues. Experiences from the developed world showed that academics and industries play critical role in innovation and technology development with proper policy and focus from the policymakers. African academics and industries could play similar role but requires revitalizing with enabling policies and sufficient funding. For this reason, African governments should prioritize their policies and investments towards achieving local energy technology development and innovation in order to build resilient economy. In light of this, we provided necessary recommendations for African led development pathways and policies to promote local manufacturing of energy technologies. This will have huge implications in supporting post COVID recovery and sustainable growth of the African countries.

Comparison of Fitting Current–Voltage Characteristics Curves of FinFET Transistors with Various Fixed Parameters

In the deep submicron regime, FinFET successfully suppresses the leakage current using a 3D fin-like channel substrate, which gets depleted and blocks possible leakage as the gate is applied with a bias wholly wrapping the channel. Fortunately, a scanning photo-lithography using extensive ultraviolet (EUV) and multi-mask task carefully resolves critical dimension issues. The ensuing anisotropic plasma dry etching is somehow a subsequent challenging process, which consumes the edge of original ‘I’-shape epitaxial silicon and causes dimension loss, and thus produces fin-like bodies as prepared channels. In order to protect the transistors from malfunction due to dimension over-etching, fin width is taken to be 120 nanometers, while the channel lengths vary. The prepared transistors are measured and characteristic curves are fitted for analysis. Measured current versus voltage characteristic curves are fitted with three parameters (transistor geometry constant, threshold voltage, and Early voltage) in the conventional current-voltage formula, which are allowed to vary as the short channel effects or process-related issues are taken into account. In this paper, one of the three is deliberately set to be fixed for a transistor, and the others are freely chosen and determined to reach minimum variation. Various conclusions through comparisons and analysis may give important feasible applications in the future.

Characterizing the relationship between coronavirus disease 2019 (COVID-19) and central-line-associated bloodstream infection (CLABSI) and assessing the impact of a nursing-focused CLABSI reduction intervention during the COVID-19 pandemic.

To examine the impact of SARS-CoV-2 infection on CLABSI rate and characterize the patients who developed a CLABSI. We also examined the impact of a CLABSI-reduction quality-improvement project in patients with and without COVID-19. Retrospective cohort analysis. Academic 889-bed tertiary-care teaching hospital in urban Los Angeles. Inpatients 18 years and older with CLABSI as defined by the National Healthcare Safety Network (NHSN). CLABSI rate and patient characteristics were analyzed for 2 cohorts during the pandemic era (March 2020-August 2021): COVID-19 CLABSI patients and non-COVID-19 CLABSI patients, based on diagnosis of COVID-19 during admission. Secondary analyses were non-COVID-19 CLABSI rate versus a historical control period (2019), ICU CLABSI rate in COVID-19 versus non-COVID-19 patients, and CLABSI rates before and after a quality- improvement initiative. The rate of COVID-19 CLABSI was significantly higher than non-COVID-19 CLABSI. We did not detect a difference between the non-COVID-19 CLABSI rate and the historical control. COVID-19 CLABSIs occurred predominantly in the ICU, and the ICU COVID-19 CLABSI rate was significantly higher than the ICU non-COVID-19 CLABSI rate. A hospital-wide quality-improvement initiative reduced the rate of non-COVID-19 CLABSI but not COVID-19 CLABSI. Patients hospitalized for COVID-19 have a significantly higher CLABSI rate, particularly in the ICU setting. Reasons for this increase are likely multifactorial, including both patient-specific and process-related issues. Focused quality-improvement efforts were effective in reducing CLABSI rates in non-COVID-19 patients but were less effective in COVID-19 patients.

Factor-based assessment of continuous bio-H2 production from cheese whey

Despite having been widely investigated, dark fermentative H2 production from organic residues is still limited by process-related issues which may hamper the perspectives of full-scale process implementation. Such constraints are mainly due to the process complexity, which is largely affected by multiple and often mutually interacting factors. In the present work, the results of continuous fermentative H2 production experiments using synthetic cheese whey as the input substrate were used to gain detailed knowledge of the process features and identify suitable and critical operating conditions. Specifically, innovative process interpretation involved a combination of analytical characterization of the fermentation broth, mass balance calculations and statistical methods (correlation and principal component analyses) to derive systematic considerations for process characterization and scale-up. The metabolic products mainly included acetate and butyrate, which however were likely to derive (in different proportions depending on the operating conditions) from both hydrogenogenic and competing pathways. For some tests, lactate and succinate were also found to have been formed. It was observed that the main features of the process (H2 yield and rate, stability condition) were correlated with the operational and analytical parameters. The first three principal components identified by the statistical analysis were able to account for: 1) the effect of retention time and total metabolites produced; 2) biogas (H2 and CO2) generation, butyrate production and stability condition; and 3) organic loading rate and propionate production. The results suggested that the main features of hydrogenogenic fermentation can be described by a reduced set of factors that may be usefully adopted for both process monitoring and prediction purposes.

Determining Interconnectedness of Barriers to Interface Management in Large Construction Projects

This study aims to identify the crucial barriers to interface management and understand the interdependencies in Large Infrastructure Construction Projects (LICP). Three-pronged sequential explanatory mixed methods research is adopted comprising a structured survey of experts (n=102) and semi-structured interviews (n=13). Subsequently, interpretive structural modelling (ISM) integrated with fuzzy protocol is used to analyse pairwise interrelationships among these factors. A ‘Multi-layered IM barrier’ model is developed with ‘Process related issues,’ 'Misaligned incentives among project stakeholders' and 'Frequent Change Orders' as the manifested barriers. On the other hand, this study also prioritized the barriers and classified them as driving, linking, and independent. The outcome of this study presents the interdependence of barriers and classification of barriers, focusing on proactive action on driving barriers, which is crucial to the knowledge of interface management. The impact position of LICP with the identified project issues can be compared against ‘Multi-layered IM barriers’ and can help project teams better strategize IM by focusing on essential barriers. In addition, such exercises can improve the coordination among participants in construction projects. Using a structured approach to identifying interdependencies among barriers to IM is a significant original contribution by the study.