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The adoption of Lean Six Sigma has become increasingly widespread in manufacturing industries worldwide. It is a powerful methodology for optimizing operational efficiency and quality, leading to increased productivity, reduced costs, and higher customer satisfaction. However, implementing LSS effectively, especially in Indian manufacturing sectors striving for sustainability, presents significant challenges. In this paper, the authors have presented the critical factors that impede the successful integration of sustainable Lean Six Sigma practices within the Indian manufacturing landscape. Through a systematic review of existing literature and empirical studies, authors have identified the eighteen failure factors. To prioritize these factors, authors have employed the Best Worst Method (BWM), a decision-making tool that aids in ranking factors based on their importance and impact. It is a multi-criterion decision-making (MCDM) methodology to solve different types of fact-based decision–making problems. This method involves initially identifying the best (most important) and worst (least important) factors, followed by pairwise comparisons to determine their relative significance. Results depict that “Failure of leadership to inspire and motivate”, “Lack of well-defined framework for executing initiatives”, and “High implementation cost and poor estimation of cost” are three top-level critical failure factors.

The main problem is to raise the standard of construction, rethinking concrete's expanding potential as a construction material. The scarcity of river sand as a fine aggregate ingredient is currently a widespread issue for many concrete plants. As a result, quarried stones that were accessible locally were used as fine aggregate. Crushed Rock Particles, also known as crushed sand, performs better in terms of fresh characteristics since there are more fines present in CRF than in river sand. The current study additionally examines the relationship between plastic viscosity and the fresh and hardened SCC properties. As a partial substitute for Ordinary Portland Cement, Fly Ash and Ground Granulated Blast Slag blends are used to generate binary and ternary. The experimental tests satisfactorily validate the suggested blend design. The results shown that SCC mixture with ternary blend, binary blend with GGBS, fly ash, and blend with pure OPC are suitable for creating fresh characteristics. Additionally, it was found that a cohesive and workable mix was produced when 100 % CRF was used in place of sand.

AbstractDuring machinability, the combination of machining process parameters and the material properties of the component to be machined plays an important role. Material properties depend upon the type of phase form present and the grain size of the formed phases, which in turn depends upon the prior treatment given to alter the initial room temperature types and form. Accordingly, spheroidization treatment was carried out on medium carbon steel (AISI1040) by altering the initial room temperature structure through normalizing and hardening treatment. Machinability experiments were performed on CNC machine by varying machining process constraints. Tool wear and surface roughness of the machined component obtained by turning were analyzed and correlated. Using Minitab and full factorial design, the ANOVA study was carried out. With the help of regression analysis, residual and main effect plots combined optimization (tool wear and surface roughness) was targeted. ANOVA result shows excellent machinability for the as-bought-spheroidized condition where feed has a 67% contribution to tool wear (TW) whereas the depth of cut has a 71.91% contribution to surface roughness (SR). Also, the optimized regression values obtained for machining parameters are feed (0.39 mm/rev), depth of cut (0.6 mm), and spindle speed (780 rpm) with composite desirability of 0.8174. TW and SR experimental values for the optimized machining parameters are 0.039 mm and 2.89 μm, respectively, and the difference between the actual and optimized values is less than 5%.

The adoption of Lean Six Sigma has become increasingly widespread in manufacturing industries worldwide. It is a powerful methodology for optimizing operational efficiency and quality, leading to increased productivity, reduced costs, and higher customer satisfaction. However, implementing LSS effectively, especially in Indian manufacturing sectors striving for sustainability, presents significant challenges. In this paper, the authors have presented the critical factors that impede the successful integration of sustainable Lean Six Sigma practices within the Indian manufacturing landscape. Through a systematic review of existing literature and empirical studies, authors have identified the eighteen failure factors. To prioritize these factors, authors have employed the Best Worst Method (BWM), a decision-making tool that aids in ranking factors based on their importance and impact. It is a multi-criterion decision-making (MCDM) methodology to solve different types of fact-based decision--making problems. This method involves initially identifying the best (most important) and worst (least important) factors, followed by pairwise comparisons to determine their relative significance. Results depict that "Failure of leadership to inspire and motivate", "Lack of well-defined framework for executing initiatives", and "High implementation cost and poor estimation of cost" are three top-level critical failure factors. [ABSTRACT FROM AUTHOR]

In modern research, several brilliant minds investigate linear programming problems involving fuzzy variable quantities. Many researchers have turned to linear programming by fuzzy variables to address this problem. Various fuzzy simplex approaches have been developed, using ranking functions to handle fuzzy numbers. Results from this research suggest that linear ranking functions can provide a straightforward interpretation of problems involving linear programming by fuzzy variable quantities. To solve these types of problems, the Fuzzy Dual Simplex Tableau method is often applied, which proves useful for sensitivity analysis when modifications are made to the activity vectors of the fundamental columns. In this study, a numerical case is presented to demonstrate the potential benefits of this approach for future technologies. [ABSTRACT FROM AUTHOR]

In recent years, abrasive waterjet machining has emerged as a promising machining technique for the machining of composites because of its non-thermal nature. In the present study, the effect of machining parameters on the quality of machining has been studied and the process parameters have been optimized to machine jute-fiber-reinforced polymer composites. The design of the experiment was used to predict the combination of the input parameters for L27 experiments. Taguchi and response surface methodology (RSM) techniques were employed to analyze the experimental data and identify the optimum combination of process parameters to achieve as little delamination as possible. The results indicate that an increase in the values of the parameters traverse speed and abrasive mass flow rate leads to an increase in the damage obtained. However, an increase in the value of the parameter stand-off distance minimizes the damage produced. To achieve minimum delamination, the optimum combination of input parameters is obtained through Taguchi and RSM. For the present experimental condition, to achieve minimum delamination, the parameter traverse speed should be set at 20 mm/min, the stand-off distance should be 4 mm, and the abrasive flow rate should be set at 0.25 kg/min. The results confirm that the optimum combination of parameters obtained through both approaches is similar. This investigation results indicated a significant improvement in the cutting quality with reduced damage, achieved through the optimized process parameters. For the considered range of parameters, graphs are plotted such that any intermediate values can be anticipated within the considered range without performing any further experiments. The present work signifies the effect of fiber orientation on delamination.

Women are great administrators in maintaining their personal goals to satisfy family needs. The main aim of the study is to determine the student's level of preference towards investment avenues. Diindium District is the study area selected for the study based on questionnaire method and analysed using simple percentage analysis, chi-square and scaling technique. The study concludes that investment became more convenient because it is very useful investment tool and it could help to improve the status of the women investors. [ABSTRACT FROM AUTHOR]

In the era of growing importance of financial status, there is an increased importance for various financial institutions which provide such loans. The main objective of the study of the loans and advances is to understand the lending policies and the various schemes of financial assistance provided by the bank. The bank works comparatively different from other financial institutions and banks as it works according to the rules and regulations and the guidelines by the RBI. In this background the topic of personal lending schemes of ICICI BANK LTD is chosen as the subject matter of this project. The findings of the project may be considered by ICICI BANK LTD while formulating the policies for increasing the volume of personal lending schemes. The study is also required to analyze the views of the borrowers and to analyze the satisfaction level of customers. It helps to know in detail the Loans and Advances provided by the bank, right from its inception stage, growth and future prospects. [ABSTRACT FROM AUTHOR]

The success of any organization is highly dependent and how it attracts, recruits, motivates and retains its work force. Today organization needs to be more flexible so that they are equipped their work force and enjoy their commitment. Therefore, organizations are required to adopt a strategy to improve the employees 'quality of work life'. To satisfy both the organizational objectives and employee's needs. One of the ways to accomplishing QWL is through job design. [ABSTRACT FROM AUTHOR]