O. Yadav - Academia.edu (original) (raw)
Papers by O. Yadav
International Journal of Process Management and Benchmarking, 2006
Benchmarking: An International Journal, 2013
Purpose – This paper aims to present existence comprehensive analysis of state of implementation ... more Purpose – This paper aims to present existence comprehensive analysis of state of implementation of benchmarking concepts in Indian automotive companies. Design/methodology/approach – The research is carried out through a mixed method of research approach comprising of a survey of 300 auto companies in India. Out of 300, 48 valid responses together with three additional case studies were used in the data analysis. Inclusion of case studies was aspired to get deeper insight into the issues pertaining to adoption of best practices, and subsequently the implementation of benchmarking activities. Findings – Benchmarking has been unanimously accepted as an effective performance and productivity improvement tool by Indian auto companies. However, Indian automobile manufacturers still see benchmarking as a tool to compare product attributes, quality attributes, operations, and processes. Moreover, it has been perceived as being less applicable at strategic level. Results also show that ben...
J. of Design Research, 2007
Managing product development process complexity and challenges: a state-of-the art reviewOm Praka... more Managing product development process complexity and challenges: a state-of-the art reviewOm Prakash Yadav* ... 4, pp.487±508. Biographical notes: Om Prakash Yadav is an assistant professor in the Industrial and Manufacturing Engineering Department at North Dakota ...
International Journal of Services and Operations Management, 2010
... be made as follows: Yadav, OP, Nepal, B., Goel, PS, Jain, R. and Mohanty, RP (2010) &... more ... be made as follows: Yadav, OP, Nepal, B., Goel, PS, Jain, R. and Mohanty, RP (2010) 'Insights and learnings from lean manufacturing implementation practices', Int. J. Services and Operations Management, Vol. 6, No. 4, pp.398422. Biographical notes: Om Prakash Yadav is ...
Expert Systems with Applications, 2010
Understanding customer requirements and incorporating them into the conceptual vehicle design is ... more Understanding customer requirements and incorporating them into the conceptual vehicle design is the first step of automotive product development (PD). However, lack of quantitative data and undefined relationships between the attributes makes it difficult to develop a quantitative model for analyzing subjective customer satisfaction (CS) attributes. While researchers and practitioners have accomplished a significant success in terms of developing tool such as quality function deployment (QFD) to capture the voice of customers, and mathematical models for selecting engineering design alternatives, there is limited precedence in terms of prior works on customer satisfaction driven quality improvement target planning and prioritization of customer satisfaction attributes for target planning. This paper presents a fuzzy set theory based analytic hierarchy process (fuzzy-AHP) framework for prioritizing CS attributes in target planning. Furthermore, unlike prior QFD papers, we consider a broad range of strategic and tactical factors for determining the weights. These weights are then incorporated into target planning by identifying the gap in the current CS level. A case example from automotive industry is presented to demonstrate efficacy of the proposed methodology. The framework has been implemented on MS Excel Ò so that the industry can easily adopt it with limited amount of training and at no additional software cost.
2021 Annual Reliability and Maintainability Symposium (RAMS)
SUMMARY & CONCLUSIONSThis paper proposes a general model to predict the corrosion growth proc... more SUMMARY & CONCLUSIONSThis paper proposes a general model to predict the corrosion growth process over time in the pipeline and combined with the Monte Carlo simulation (MCS) to assess the pipeline's reliability. Although several models have been proposed to capture corrosion behavior in the pipeline, the linear corrosion growth rate model is widely used due to its simplicity and capability to predict the corrosion process over time despite the scarcity of more detailed pipeline information. Therefore, we propose a linear model, but it differs from the existing linear corrosion growth models where it is applicable to include multiple in-line inspection datasets. The proposed model is called multiple in-line inspections (M-ILIs) based-linear corrosion rate model. Also, this paper is conducting a comparative study of the M-ILIs model with the other three common existing linear models, such as single-value (SV) corrosion rate model, single in-line inspection (S-ILI) based-linear corrosion rate model, and two in-line inspections (T-ILIs) based-linear corrosion rate model. The results demonstrate the superiority of the proposed model over other models, especially for long-term prediction, where it gives more accurate prediction outcomes, which makes the M-ILIs model encouraging and could be useful for reliability analysts and managers to utilize it in corrosion prediction regarding buried oil and gas pipelines.
International Journal of Process Management and Benchmarking, 2006
The traditional approach to developing a quality system has been to build it around existing soft... more The traditional approach to developing a quality system has been to build it around existing software. Little consideration is given to understanding operational and business requirements of quality systems. Current customers and industry trends, however, suggest an increasing role for effective quality management systems in achieving competitive advantage. This paper presents a systematic top-down approach for the design of requirement-driven quality systems and subsequent selection of the best-fit off-the-self software. The proposed approach captures a company's operational and business goals, and develops a comprehensive list of quality system requirements. These requirements are prioritised and classified based on the Kano model. The best-in-class technical features necessary to fulfill quality system requirements are explored and identified. QFD is used to link company requirements with technical features. Finally, using the Pugh methodology, the best-fit software platform is selected. The proposed methodology has been validated and implemented at a leading global manufacturing company.
2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
International Journal of Mathematical, Engineering and Management Sciences
In this scripture, we ponder the problem of efficient estimation of population mean of study vari... more In this scripture, we ponder the problem of efficient estimation of population mean of study variable utilizing information on highly correlated auxiliary variables under the presence of non-response on either of the variables. For this purpose, we suggest, an improved estimator under three different situations of non-response. Under the first situation, estimation of population mean is done with the problem of non-response on both the study and the auxiliary variables with the additional condition that the population means of the auxiliary variables are known. The second situation is to estimate the population mean of primary variable when the problem of non-response is only on the primary variable but the population means of the auxiliary variables are known while under the third situation estimation is performed with the problem of non-response on both the study and the auxiliary variables but population mean of one of the auxiliary variables is unknown. We study the sampling pro...
SAE Technical Paper Series, 2005
Reliability Engineering & System Safety, 2003
During early stages of product development process, a vast amount of knowledge and information is... more During early stages of product development process, a vast amount of knowledge and information is generated. However, most of it is subjective (imprecise) in nature and remains unutilized. This paper presents a formal structure for capturing this information and knowledge and ...
Reliability Engineering & System Safety, 2006
Increasing customer demand for reliability, fierce market competition on time-to-market and cost,... more Increasing customer demand for reliability, fierce market competition on time-to-market and cost, and highly reliable products are making reliability testing more challenging task. This paper presents a systematic approach for identifying critical elements (subsystems and ...
Quality Engineering, 2003
This paper presents a comprehensive framework for reliability prediction during the product devel... more This paper presents a comprehensive framework for reliability prediction during the product development process. Early in the product development process, there is typically little or no quantitative evidence to predict the reliability of the new concept except indirect or ...
International Journal of Production Economics, 2008
Customer satisfaction targets for vehicle attributes are set at the corporate level with limited ... more Customer satisfaction targets for vehicle attributes are set at the corporate level with limited consideration of the engineering feasibility and interactions between different product features. This paper presents a comprehensive framework for target planning for customer satisfaction driven ...
International Journal of Process Management and Benchmarking, 2008
... Om Prakash Yadav* ... Om Prakash Yadav is an Assistant Professor in the Industrial and Manufa... more ... Om Prakash Yadav* ... Om Prakash Yadav is an Assistant Professor in the Industrial and Manufacturing Engineering Department at the North Dakota State University, USA. He completed his PhD in Industrial Engineering at Wayne State University, Detroit, USA. ...
Reliability and Maintainability …, 2003
In a product development process, to develop appropriate design validation and verification progr... more In a product development process, to develop appropriate design validation and verification program for reliability assessment, one has to understand the functional behavior of the system, role of components in achieving required functions and failure modes if component/sub-system fails to perform required function. The integration of these three issues will help design and reliability engineers in identifying weak spots in design and planning future actions and testing program. The existing system-level reliability predictions are generally developed based on a system model and componentlevel reliability prediction. These prediction methods are not of much help in pinpointing the exact location and nature of problem. Since time and budgetary constraints limit the extent of analysis and testing needed to estimate component reliability, it is necessary to utilize prior information available. System-reliability predictions should be updated iteratively as the design evolves and more information becomes available. In this paper, we propose a simple and practical two-stage approach of system reliability growth modeling considering components, functions, and failure modes. The consideration of these three dimensions will help in uncovering the weak spots in design responsible for low system reliability. The proposed method assumes Weibull distribution as failure time distribution and reliability model is based on the Bayesian framework (Ref 1) incorporating even fuzzy information (Ref. 2). The fuzzy logic model that has been developed for this purpose (Ref 3) is used to quantify the engineering judgment or fuzzy information of reliability improvement attributed to design changes or corrective actions. Uncertainty in data/ information at component levels propagates to system level reliability and makes system reliability prediction highly unreliable. The paper suggests a variance reduction strategy to give more accurate system reliability predictions.
Quality and Reliability Engineering International, 2010
Concept of benchmarking is still new for Indian manufacturers. This study through a survey searc... more Concept of benchmarking is still new for Indian manufacturers. This study through a survey searches the status of adotion of benchmarking concepts in automobile industry of India.
International Journal of Process Management and Benchmarking, 2006
Benchmarking: An International Journal, 2013
Purpose – This paper aims to present existence comprehensive analysis of state of implementation ... more Purpose – This paper aims to present existence comprehensive analysis of state of implementation of benchmarking concepts in Indian automotive companies. Design/methodology/approach – The research is carried out through a mixed method of research approach comprising of a survey of 300 auto companies in India. Out of 300, 48 valid responses together with three additional case studies were used in the data analysis. Inclusion of case studies was aspired to get deeper insight into the issues pertaining to adoption of best practices, and subsequently the implementation of benchmarking activities. Findings – Benchmarking has been unanimously accepted as an effective performance and productivity improvement tool by Indian auto companies. However, Indian automobile manufacturers still see benchmarking as a tool to compare product attributes, quality attributes, operations, and processes. Moreover, it has been perceived as being less applicable at strategic level. Results also show that ben...
J. of Design Research, 2007
Managing product development process complexity and challenges: a state-of-the art reviewOm Praka... more Managing product development process complexity and challenges: a state-of-the art reviewOm Prakash Yadav* ... 4, pp.487±508. Biographical notes: Om Prakash Yadav is an assistant professor in the Industrial and Manufacturing Engineering Department at North Dakota ...
International Journal of Services and Operations Management, 2010
... be made as follows: Yadav, OP, Nepal, B., Goel, PS, Jain, R. and Mohanty, RP (2010) &... more ... be made as follows: Yadav, OP, Nepal, B., Goel, PS, Jain, R. and Mohanty, RP (2010) 'Insights and learnings from lean manufacturing implementation practices', Int. J. Services and Operations Management, Vol. 6, No. 4, pp.398422. Biographical notes: Om Prakash Yadav is ...
Expert Systems with Applications, 2010
Understanding customer requirements and incorporating them into the conceptual vehicle design is ... more Understanding customer requirements and incorporating them into the conceptual vehicle design is the first step of automotive product development (PD). However, lack of quantitative data and undefined relationships between the attributes makes it difficult to develop a quantitative model for analyzing subjective customer satisfaction (CS) attributes. While researchers and practitioners have accomplished a significant success in terms of developing tool such as quality function deployment (QFD) to capture the voice of customers, and mathematical models for selecting engineering design alternatives, there is limited precedence in terms of prior works on customer satisfaction driven quality improvement target planning and prioritization of customer satisfaction attributes for target planning. This paper presents a fuzzy set theory based analytic hierarchy process (fuzzy-AHP) framework for prioritizing CS attributes in target planning. Furthermore, unlike prior QFD papers, we consider a broad range of strategic and tactical factors for determining the weights. These weights are then incorporated into target planning by identifying the gap in the current CS level. A case example from automotive industry is presented to demonstrate efficacy of the proposed methodology. The framework has been implemented on MS Excel Ò so that the industry can easily adopt it with limited amount of training and at no additional software cost.
2021 Annual Reliability and Maintainability Symposium (RAMS)
SUMMARY & CONCLUSIONSThis paper proposes a general model to predict the corrosion growth proc... more SUMMARY & CONCLUSIONSThis paper proposes a general model to predict the corrosion growth process over time in the pipeline and combined with the Monte Carlo simulation (MCS) to assess the pipeline's reliability. Although several models have been proposed to capture corrosion behavior in the pipeline, the linear corrosion growth rate model is widely used due to its simplicity and capability to predict the corrosion process over time despite the scarcity of more detailed pipeline information. Therefore, we propose a linear model, but it differs from the existing linear corrosion growth models where it is applicable to include multiple in-line inspection datasets. The proposed model is called multiple in-line inspections (M-ILIs) based-linear corrosion rate model. Also, this paper is conducting a comparative study of the M-ILIs model with the other three common existing linear models, such as single-value (SV) corrosion rate model, single in-line inspection (S-ILI) based-linear corrosion rate model, and two in-line inspections (T-ILIs) based-linear corrosion rate model. The results demonstrate the superiority of the proposed model over other models, especially for long-term prediction, where it gives more accurate prediction outcomes, which makes the M-ILIs model encouraging and could be useful for reliability analysts and managers to utilize it in corrosion prediction regarding buried oil and gas pipelines.
International Journal of Process Management and Benchmarking, 2006
The traditional approach to developing a quality system has been to build it around existing soft... more The traditional approach to developing a quality system has been to build it around existing software. Little consideration is given to understanding operational and business requirements of quality systems. Current customers and industry trends, however, suggest an increasing role for effective quality management systems in achieving competitive advantage. This paper presents a systematic top-down approach for the design of requirement-driven quality systems and subsequent selection of the best-fit off-the-self software. The proposed approach captures a company's operational and business goals, and develops a comprehensive list of quality system requirements. These requirements are prioritised and classified based on the Kano model. The best-in-class technical features necessary to fulfill quality system requirements are explored and identified. QFD is used to link company requirements with technical features. Finally, using the Pugh methodology, the best-fit software platform is selected. The proposed methodology has been validated and implemented at a leading global manufacturing company.
2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
International Journal of Mathematical, Engineering and Management Sciences
In this scripture, we ponder the problem of efficient estimation of population mean of study vari... more In this scripture, we ponder the problem of efficient estimation of population mean of study variable utilizing information on highly correlated auxiliary variables under the presence of non-response on either of the variables. For this purpose, we suggest, an improved estimator under three different situations of non-response. Under the first situation, estimation of population mean is done with the problem of non-response on both the study and the auxiliary variables with the additional condition that the population means of the auxiliary variables are known. The second situation is to estimate the population mean of primary variable when the problem of non-response is only on the primary variable but the population means of the auxiliary variables are known while under the third situation estimation is performed with the problem of non-response on both the study and the auxiliary variables but population mean of one of the auxiliary variables is unknown. We study the sampling pro...
SAE Technical Paper Series, 2005
Reliability Engineering & System Safety, 2003
During early stages of product development process, a vast amount of knowledge and information is... more During early stages of product development process, a vast amount of knowledge and information is generated. However, most of it is subjective (imprecise) in nature and remains unutilized. This paper presents a formal structure for capturing this information and knowledge and ...
Reliability Engineering & System Safety, 2006
Increasing customer demand for reliability, fierce market competition on time-to-market and cost,... more Increasing customer demand for reliability, fierce market competition on time-to-market and cost, and highly reliable products are making reliability testing more challenging task. This paper presents a systematic approach for identifying critical elements (subsystems and ...
Quality Engineering, 2003
This paper presents a comprehensive framework for reliability prediction during the product devel... more This paper presents a comprehensive framework for reliability prediction during the product development process. Early in the product development process, there is typically little or no quantitative evidence to predict the reliability of the new concept except indirect or ...
International Journal of Production Economics, 2008
Customer satisfaction targets for vehicle attributes are set at the corporate level with limited ... more Customer satisfaction targets for vehicle attributes are set at the corporate level with limited consideration of the engineering feasibility and interactions between different product features. This paper presents a comprehensive framework for target planning for customer satisfaction driven ...
International Journal of Process Management and Benchmarking, 2008
... Om Prakash Yadav* ... Om Prakash Yadav is an Assistant Professor in the Industrial and Manufa... more ... Om Prakash Yadav* ... Om Prakash Yadav is an Assistant Professor in the Industrial and Manufacturing Engineering Department at the North Dakota State University, USA. He completed his PhD in Industrial Engineering at Wayne State University, Detroit, USA. ...
Reliability and Maintainability …, 2003
In a product development process, to develop appropriate design validation and verification progr... more In a product development process, to develop appropriate design validation and verification program for reliability assessment, one has to understand the functional behavior of the system, role of components in achieving required functions and failure modes if component/sub-system fails to perform required function. The integration of these three issues will help design and reliability engineers in identifying weak spots in design and planning future actions and testing program. The existing system-level reliability predictions are generally developed based on a system model and componentlevel reliability prediction. These prediction methods are not of much help in pinpointing the exact location and nature of problem. Since time and budgetary constraints limit the extent of analysis and testing needed to estimate component reliability, it is necessary to utilize prior information available. System-reliability predictions should be updated iteratively as the design evolves and more information becomes available. In this paper, we propose a simple and practical two-stage approach of system reliability growth modeling considering components, functions, and failure modes. The consideration of these three dimensions will help in uncovering the weak spots in design responsible for low system reliability. The proposed method assumes Weibull distribution as failure time distribution and reliability model is based on the Bayesian framework (Ref 1) incorporating even fuzzy information (Ref. 2). The fuzzy logic model that has been developed for this purpose (Ref 3) is used to quantify the engineering judgment or fuzzy information of reliability improvement attributed to design changes or corrective actions. Uncertainty in data/ information at component levels propagates to system level reliability and makes system reliability prediction highly unreliable. The paper suggests a variance reduction strategy to give more accurate system reliability predictions.
Quality and Reliability Engineering International, 2010
Concept of benchmarking is still new for Indian manufacturers. This study through a survey searc... more Concept of benchmarking is still new for Indian manufacturers. This study through a survey searches the status of adotion of benchmarking concepts in automobile industry of India.