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Papers by Goutham Ramaraj

Research paper thumbnail of A two-stage stochastic programming model for production lot-sizing and scheduling under demand and raw material quality uncertainties

International journal of planning and scheduling, 2019

Research paper thumbnail of Production planning with a two-stage stochastic programming model in a kitting facility under demand and yield uncertainties

International Journal of Management Science and Engineering Management, 2020

ABSTRACT The main objective of this study is to develop a two-stage stochastic programming framew... more ABSTRACT The main objective of this study is to develop a two-stage stochastic programming framework for lot-sizing and scheduling the production activities at a kitting facility to support a manufacturing plant. The novelty of the study lies in modeling multiple uncertainties using two-stage stochastic programming to solve a kitting specific production planning problem in a manufacturing setting. The demand for the kits and the yield of the kitting workers are the two sources of uncertainties considered in this study. The first-stage decisions include the baseline production schedule and the workforce requirement, while the second stage makes recourse decisions on overtime production. The proposed decision-making framework is validated on a multi-period, multi-product case study involving a kitting facility supporting a manufacturing plant producing braking equipment. The main conclusion of the study is that uncertainties have significant impacts on kitting planning decisions and that the proposed two-stage stochastic programming model was robust in determining optimal production plans under uncertainty.

Research paper thumbnail of Reliability of Fused Deposition Modelling (FDM) Components on Fatigue Cycles to Failure Using Weibull Analysis

Applied Mechanics and Materials, 2012

Application of fused deposition modelling components are gaining popularity in functional applica... more Application of fused deposition modelling components are gaining popularity in functional application. In order to use these components directly for functional application, reliability in service has to be acheived. A Reliability analysis was caried out on components manufactured by fused deposition modelling. A standard test specimen as per ASTM was prepared and tested for fatigue cycles to failure. Bending stress was calculated prior to the fatigue testing by varying the slice thickness. Fatigue test was carried out with differnt loading condition. Fatigue test results were subjected to weibull analysis to determine the reliability of FDM components. The Weibull design values were calculated and Weibull distribution plot for failure was plotted and analyzed. Estimation of reliabilty for different cycles to failure was also found out.

Research paper thumbnail of Fatigue Reliability of Selective Laser Sintered (SLS) Components Using Weibull Analysis

Applied Mechanics and Materials, 2012

Selective laser sintered metallic specimens were tested for fatigue cycles to failure and analyze... more Selective laser sintered metallic specimens were tested for fatigue cycles to failure and analyzed for reliability. In this study, Taguchi’s experimental techniques were used to develop a modified L9 orthogonal array. Three different process parameters, laser power, scan spacing and slice thickness were selected for manufacturing the components. Fatigue testing was carried out as per ASTM standards and relationship of the process parameters on the fatigue cycles to failure was investigated. ANOVA method was used to find the dependence of the process parameters and to find the influence of main process parameter on fatigue cycles to failure of the specimens. Laser power was found to be the most significant factor compared to scan speed and slice thickness. Two-parameter Weibull method was used for the reliability studies by which reliability was estimated for different cycles to failure.

Research paper thumbnail of A two-stage stochastic programming model for production lot-sizing and scheduling under demand and raw material quality uncertainties

International Journal of Planning and Scheduling, 2019

Research paper thumbnail of Production planning in different stages of a manufacturing supply chain under multiple uncertainties

Research paper thumbnail of Production planning in different stages of a manufacturing supply chain under multiple uncertainties

Research paper thumbnail of A two-stage stochastic programming model for production lot-sizing and scheduling under demand and raw material quality uncertainties

International journal of planning and scheduling, 2019

Research paper thumbnail of Production planning with a two-stage stochastic programming model in a kitting facility under demand and yield uncertainties

International Journal of Management Science and Engineering Management, 2020

ABSTRACT The main objective of this study is to develop a two-stage stochastic programming framew... more ABSTRACT The main objective of this study is to develop a two-stage stochastic programming framework for lot-sizing and scheduling the production activities at a kitting facility to support a manufacturing plant. The novelty of the study lies in modeling multiple uncertainties using two-stage stochastic programming to solve a kitting specific production planning problem in a manufacturing setting. The demand for the kits and the yield of the kitting workers are the two sources of uncertainties considered in this study. The first-stage decisions include the baseline production schedule and the workforce requirement, while the second stage makes recourse decisions on overtime production. The proposed decision-making framework is validated on a multi-period, multi-product case study involving a kitting facility supporting a manufacturing plant producing braking equipment. The main conclusion of the study is that uncertainties have significant impacts on kitting planning decisions and that the proposed two-stage stochastic programming model was robust in determining optimal production plans under uncertainty.

Research paper thumbnail of Reliability of Fused Deposition Modelling (FDM) Components on Fatigue Cycles to Failure Using Weibull Analysis

Applied Mechanics and Materials, 2012

Application of fused deposition modelling components are gaining popularity in functional applica... more Application of fused deposition modelling components are gaining popularity in functional application. In order to use these components directly for functional application, reliability in service has to be acheived. A Reliability analysis was caried out on components manufactured by fused deposition modelling. A standard test specimen as per ASTM was prepared and tested for fatigue cycles to failure. Bending stress was calculated prior to the fatigue testing by varying the slice thickness. Fatigue test was carried out with differnt loading condition. Fatigue test results were subjected to weibull analysis to determine the reliability of FDM components. The Weibull design values were calculated and Weibull distribution plot for failure was plotted and analyzed. Estimation of reliabilty for different cycles to failure was also found out.

Research paper thumbnail of Fatigue Reliability of Selective Laser Sintered (SLS) Components Using Weibull Analysis

Applied Mechanics and Materials, 2012

Selective laser sintered metallic specimens were tested for fatigue cycles to failure and analyze... more Selective laser sintered metallic specimens were tested for fatigue cycles to failure and analyzed for reliability. In this study, Taguchi’s experimental techniques were used to develop a modified L9 orthogonal array. Three different process parameters, laser power, scan spacing and slice thickness were selected for manufacturing the components. Fatigue testing was carried out as per ASTM standards and relationship of the process parameters on the fatigue cycles to failure was investigated. ANOVA method was used to find the dependence of the process parameters and to find the influence of main process parameter on fatigue cycles to failure of the specimens. Laser power was found to be the most significant factor compared to scan speed and slice thickness. Two-parameter Weibull method was used for the reliability studies by which reliability was estimated for different cycles to failure.

Research paper thumbnail of A two-stage stochastic programming model for production lot-sizing and scheduling under demand and raw material quality uncertainties

International Journal of Planning and Scheduling, 2019

Research paper thumbnail of Production planning in different stages of a manufacturing supply chain under multiple uncertainties

Research paper thumbnail of Production planning in different stages of a manufacturing supply chain under multiple uncertainties

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