Literature survey about elements of manufacturing shop floor operation key performance indicators

In the era of globalisation, manufacturing industries are compelled to continuously monitor their manufacturing operations to maintain competitiveness. As a result, manufacturers have integrated several measurement models to inspect their manufacturing operations. These models comprise of a set of Key Performance Indicators (KPIs), which are capable to enumerate the effectiveness, competence, efficiency and proficiency of manufacturing operations. This paper presents a review of manufacturing shop floor operation KPIs that has been studied in the recent literature. Based on the reviewed literature author proposes various KPI elements such as: description, category, scope, formula, unit of measure, range, trend, mode of display, viewers and manufacturing approach. These elements can help manufacturers to better describe, classify, analyze and measure the appropriate KPIs for their shop floor operations. Thus, enabling manufacturers to accomplish and uphold great quality, increased productivity and throughput

Manufacturing enhancement through reduction of cycle time using time-study statistical techniques in automotive industry

Within the complex and competitive automotive manufacturing industry, manufacturing Cycle Time (CT) remains one of the Key Performance Indicators (KPIs). Its reduction is of strategic importance as it contributes to time-to-market shortening, faster bottleneck detection, achieving throughput targets and improving production-resource scheduling. This paper presents a case study on CT analysis for early stage identification of the bottleneck stations and the processes in a manual assembly line that is responsible for increased manufacturing CT. The case study is conducted on an automotive seat manufacturing plant in the UK. For detailed CT analysis, CT of each station is recorded. Results of the case study shows that bottlenecks identification at an early stage can significantly enhance the overall performance of the production line

Scope of Social Work Practice for Families of Children with Down Syndrome

Social work practice takes place at micro, mezzo, and macro levels between persons with disabilities in families and other social institutions, such as schools, health systems, and welfare systems. Drawing from multidisciplinary theoretical sources, the article brings together social work and family therapy to develop a possible social work intervention for families of children with Down syndrome. The primary purpose of these interventions is to aid clients in alleviating problems and improving their well being. Social workers must think creatively about interventions that may help the individuals, couples, families, and groups or communities they serve. This research is using the literature study method. The results confirm that numerous concerns have to be addressed faced by children with Down syndrome. Toward various issues and challenges faced by people with Down syndrome and their families, social workers have the professional responsibility to provide services and intervention to increase the children with Down syndrome's social functioning and overall well-being of parents

Static Trade-off theory or Pecking order theory which one suits best to the financial sector. Evidence from Pakistan.

This research is a contribution towards understanding the financial behavior of leasing sector of Pakistan for the period of 2001-2010. It is an attempt to investigate the key factors that influence the capital structure of leasing sector of Pakistan. Financial Leverage is taken as the dependent variable. Whereas, Size of Firm, Capital intensity; Liquidity, Profitability and Tangibility of assets are taken as independent variables. Empirically it has been found that size of assets has a negative and significant impact on leverage. It has also been found that Liquidity, Tangibility, profitability and capital intensity do not significantly influence Leverage. Hence, it is concluded that leasing sector of Pakistan is following Pecking Order Theory in terms of the Size of Firm, Tangibility, liquidity, profitability and capital intensity.   Key words: Leasing, financial sector, Karachi Stock Exchange, Tangibility, Pecking Order Theory, Static Order Theor

Knowledge Management as a Strategy & Competitive Advantage: A Strong Influence to Success (A Survey of Knowledge Management Case Studies of Different Organizations)

There has been a great deal of recognition in the business world that information and knowledge management can be vital tools in organizations. Knowledge management can be proven a competitive advantage of any organization. The rationale of this exploratory study is to investigate the link among knowledge management system & techniques and organizational success by using knowledge as completive advantage. It is a qualitative research study of different case studies of the use of knowledge management as competitive advantage in different organization that leads to success. A total of 8 different organizations are studied and results propose that by using knowledge management as strategy and competitive advantage, these organizations earn high profit. And it has a great influence to success. Implication and Directions are also discussed together with limitation and suggestions for future research. Keywords: Knowledge Management, Organization, Tacit Knowledge, Explicit Knowledge, KMS, KM Strategies, KM Technologies, Productivity, Competitive Advantage

An In-Silico Approach for the Prediction of miRNAs in Merkel Cell Polyoma Virus and its Target Genes

Background: For last five years, as technological advancement occurs, novel kinds of human generation viruses’ discovery have been increased. A rare human cancer associated virus Merkel’s Cell polyomavirus (MCPyV or MCV) got remarkable attraction among the newly discovered viruses. As a common human virus MCPyV infection frequently found in skin and also occurs at other anatomical sites. Methods: In this study, the in-silico screening of miRNAs from MCPyV was done, as the computational screening procedures are functionally vital, efficient and inexpensive for the said purpose. Results: Primarily 52 sequences, possessing possible hairpin-like structures, were extracted from MCPyV genome by searching through VMir software using various filters. 17 nominees were confirmed with real pre-miRNA like hairpin organizations by iMiRNA-SSF program. Further seven nominees were excluded by free energy measurement and other parameters. 10 mature miRNAs were affirmed in 10 impending candidates for pre-miRNAs by MatureBayes web server v1.0, among these 10 candidates 2 were reported already by earlier studies. The homologous miRNA for these candidates were searched in mirBase. To find the target gene and its relevant diseases the best homologous miRNAs were then searched in Target Scan. Among all miRNAs Cancer was found to be common. Conclusion: These findings open new avenues for researchers to explore the role of these novel miRNAs in viral pathogenesis as well as in developing new antiviral therapy.

Black Titania: From Synthesis to Applications

Titanium dioxide (TiO2) nanomaterials are very important for generating hydrogen through photoelectrochemical water splitting and remediation of environmental pollution. It has remained the focus of many researchers during last few decades due to their wide applications. Optical absorption properties of TiO2 can lead to increase their photocatalytic activities. However, its overall solar performance is very restricted because of its large bandgap. The emergence of black titania nanomaterials has recently triggered worldwide research interest due to its significantly improved solar absorption and enhanced photocatalytic performances. In this chapter, various synthetic approaches employed to obtain black titania are outlined, and the structural features of the black titania nanomaterials are described in detail, along with their photocatalytic performances towards various applications

A subclass of meromorphic Janowski-type multivalent q-starlike functions involving a q-differential operator

Keeping in view the latest trends toward quantum calculus, due to its various applications in physics and applied mathematics, we introduce a new subclass of meromorphic multivalent functions in Janowski domain with the help of the q-differential operator. Furthermore, we investigate some useful geometric and algebraic properties of these functions. We discuss sufficiency criteria, distortion bounds, coefficient estimates, radius of starlikeness, radius of convexity, inclusion property, and convex combinations via some examples and, for some particular cases of the parameters defined, show the credibility of these results. © 2022, The Author(s)

Coefficient Estimates for a Subclass of Meromorphic Multivalent q-Close-to-Convex Functions

By making use of the concept of basic (or q-) calculus, many subclasses of analytic and symmetric q-starlike functions have been defined and studied from different viewpoints and perspectives. In this article, we introduce a new class of meromorphic multivalent close-to-convex functions with the help of a q-differential operator. Furthermore, we investigate some useful properties such as sufficiency criteria, coefficient estimates, distortion theorem, growth theorem, radius of starlikeness, and radius of convexity for this new subclass.</p