Accelerated development and use of decision-making technology, including the analytical hierarchy... more Accelerated development and use of decision-making technology, including the analytical hierarchy process (AHP) which has a high reliability to solve most of the uncertainty problems and meet their practical requirements, which enabled it to be used in a number of engineering and administrative applications. Statistical design of experiments technology is considered essential keys to deal with random data. Their important features enables us to combine them in a appropriate scenario to predict the prospects and rates of random factors and determine the extent of their impact on the delay for the implementation of a project. This research verified and reach the possibility of using these two techniques in the development of mutual influence between each of random factors, a very high correlation has been proved among such factors, where the correlation coefficient between them is equal to the value (1), a mathematical models that govern random factors effects was built by using of S...
The problem of determining the optimum machining conditions for single-pass and multipass operati... more The problem of determining the optimum machining conditions for single-pass and multipass operations has been investigated. An objective function incorporating a combination of the minimum production cost and minimum production time requirements is considered for optimization. The two criteria of production cost and production time are prioritized through their weight coefficients. A constant multiplier is used to normalize the objective function. The optimum machining conditions are then determined by the Nelder-Mead simplex method. Physical constraints regarding the cutting parameters are also considered. The structure of the objective function is analyzed and the procedure to construct it is discussed. The superiority of the combined objective function over the earlier proposed single criteron objective functions, using the production cost, or production time, or maximum rate of profit, is illustrated. A sensitivity analysis for the weight coefficients and the constant multiplier...
Tikrit Journal of Pure Science : E-ISSN:2415-1726 P-ISSN:1813-1662, 2009
Abstract:
This paper describes advanced methods for finding a verified global optimum and findin... more Abstract:
This paper describes advanced methods for finding a verified global optimum and finding all solutions of a system of linear programming, as implemented in the Premium Solver Platform, an extension of the Solver bundled with Microsoft Excel. It also describes the underlying tools that allow Excel spreadsheets to be used over linear data, with fast computation of optimization.
Also it provides: a brief overview of Excel’s Add-in Solver; basic theory of optimization as implemented within the Solver; advantages of the Excel Solver in linear programming, and three numerical examples outlining the steps involved in carrying out adjustment of Solver to solve the linear programming problems. The reasons to use of Excel for optimization can be considered a viable option are: (a) Excel is readily available in any Windows platform without any additional cost. (b) Excel is easy to use. (c) The data transfer to and from Excel is very flexible.
Computer Aided Process Planning (CAPP) has been recognized as playing a key role in Computer Inte... more Computer Aided Process Planning (CAPP) has been recognized as playing a key role in Computer Integrated Manufacturing ( CIM ). It was used as a bridge to link CAD with CAM systems, in order to give the possibility of full integration in agreement with computer engineering to introduce CIM. The benefits of CAPP in the real industrial environment are still to be achieved. Due to different manufacturing applications, many different CAPP systems have been developed. The development of CAPP techniques needs to a summarized classification and a descriptive analysis. This paper presents the most important and famous techniques for the available CAPP systems, which are based on the variant, generative or semi-generative methods, and a descriptive analysis of their application possibilities.
In this paper, constrained nonlinear prog. problems are solved by using more general conjugate gr... more In this paper, constrained nonlinear prog. problems are solved by using more general conjugate gradient minimization method. This method is invariant to a nonlinear scaling of a strictly convex Q function. The technique generates conjugate, exact or inexact line, search directions when applied to Non-Quadratic function F(q(x)), where q is a quadratic function and F is a non-negative strictly monotonic increasing function. The exact or inexact line search direction is used to modify the updating matrix H in DFP and BFGS methods. Each of these modified matrices are used by SUMT in the minimization of constrained problems. Numerical comparison shows that the new exact line search is coupled with BFGS updating matrix, more efficient algorithm is introduced.
Of vital interest to manufacturing engineer are production rate and costs. In practice a high pro... more Of vital interest to manufacturing engineer are production rate and costs. In practice a high production rate would probably mean low production costs. It should be pointed out that these two common economic criteria must be considered separately and that the machining conditions giving maximum production rate will not be identical to those conditions giving minimum cost of production. A balance between these two sets of machining conditions requires a more efficient criterion, which must achieve a balance in the contribution of both production cost and time criteria into the objective function of machining process. This paper proposes a Multiple Economic Criteria (MEC) model to achieve the required balance.An efficient algorithm was constructed to optimize the proposed model. This algorithm determines the optimal unique combination of machining conditions set. A single and multi pass of turning experiments were done, in order to test the proposed Multiple Criteria Algorithm. It was...
Microscopy: the journal of the Quekett Microscopical Club
The need for higher production rates and lower production cost emphasized the need to increase th... more The need for higher production rates and lower production cost emphasized the need to increase the rate of metal removal on metal cutting machine tools. This is however, limited by the different technical and technological constraints of the machining process so that the problem has to be handled as an optimization to determining the optimum values of the machining parameters. Several optimization techniques have been developed to solve this problem such as linear and non linear programming methods. However, due to the complexity of the mathematical models and the relatively large number of constraints involved, there is no obvious solution. This paper introduces a developed algorithm and compared to one of the well known iteration method that is the Sequential Unconstrained Minimization Technique (SUMT). The comparison through an example problem shows that the developed algorithm is more efficient, accurate, as well as quicker the optimum solution.
Computer Aided Process Planning ( CAPP) has been recognized as playing a key role in Computer Int... more Computer Aided Process Planning ( CAPP) has been recognized as playing a key role in Computer Integrated Manufacturing ( CIM ). It was used as abridge to link CAD with CAM systems, in order to giving the possibility of full integration in agreement with computer engineering to introduce CIM. The benefits of CAPP in the real industrial environment are still to be achieved. Due to different manufacturing applications, many different CAPP systems have been developed. The development of CAPP techniques needs to a summarized classification, and a descriptive analysis. This paper presents the most important and famous techniques for the available CAPP systems, which are based on the variant, generative or semi-generative methods, and a descriptive analysis of their application possibilities in practice.
As a result of lack of conformity of the outer diameter of the filling piston of plastic syringe ... more As a result of lack of conformity of the outer diameter of the filling piston of plastic syringe to the specifications set out in the design map and the increased demand for its products from the Medical syringes factory – Babylon. The research conducts the necessary investigations and analysis of the production process as most of the units rejected by fact that the outer diameter of the filling piston is smaller than the minimum specification and units returned to work due to the fact that the outer diameter larger than the upper limit of the specification. The research aims firstly to examine the outer diameter of the filling piston through the use of the control chart of the variables represented by the average , and its impact on the production process capability because the increase in diameter specification leads to an increase in the pressure imposed on the lining of the cylinder, causing difficulty in piston movement and a decrease in diameter specification which leads to lo...
This paper describes advanced methods for finding a verified global optimum and finding all solut... more This paper describes advanced methods for finding a verified global optimum and finding all solutions of a system of linear programming, as implemented in the Premium Solver Platform, an extension of the Solver bundled with Microsoft Excel. It also describes the underlying tools that allow Excel spreadsheets to be used over linear data, with fast computation of optimization. Also it provides: a brief overview of Excel’s Add-in Solver; basic theory of optimization as implemented within the Solver; advantages of the Excel Solver in linear programming, and three numerical examples outlining the steps involved in carrying out adjustment of Solver to solve the linear programming problems. The reasons to use of Excel for optimization can be considered a viable option are: (a) Excel is readily available in any Windows platform without any additional cost. (b) Excel is easy to use. (c) The data transfer to and from Excel is very flexible.
Accelerated development and use of decision-making technology, including the analytical hierarchy... more Accelerated development and use of decision-making technology, including the analytical hierarchy process (AHP) which has a high reliability to solve most of the uncertainty problems and meet their practical requirements, which enabled it to be used in a number of engineering and administrative applications. Statistical design of experiments technology is considered essential keys to deal with random data. Their important features enables us to combine them in a appropriate scenario to predict the prospects and rates of random factors and determine the extent of their impact on the delay for the implementation of a project.
As a result of lack of conformity of the outer diameter of the filling piston of plastic syringe ... more As a result of lack of conformity of the outer diameter of the filling piston of plastic syringe to the specifications set out in the design map and the increased demand for its products from the Medical syringes factory – Babylon. The research conducts the necessary investigations and analysis of the production process as most of the units rejected by fact that the outer diameter of the filling piston is smaller than the minimum specification and units returned to work due to the fact that the outer diameter larger than the upper limit of the specification. The research aims firstly to examine the outer diameter of the filling piston through the use of the control chart of the variables represented by the average , and its impact on the production process capability because the increase in diameter specification leads to an increase in the pressure imposed on the lining of the cylinder, causing difficulty in piston movement and a decrease in diameter specification which leads to loose the process capability to prevent leakage of fluid, causing air to enter as well as to speed the movement of the piston, which negatively affects human life in both cases. Secondly, study the possibility of improving the production process capability by using advanced levels of the sigma. The results showed that the production process in the case of a disciplined and follows a normal distribution, the pointer of the production process capability is equal to (0.55) and the factory works within the level of Sigma equal to (1.65). The proportion of a damaged product is (15.8 %) and rework (0.99 %). In order to reduce the proportion of damaged product, this paper introduces a quality plan depending on ( ±0.025) as tolerance limits instead of ( ±0.05) to increase sigma level by 202%.
Al-Qadisiyah Journal for Engineering Sciences, 2011
Reliability and Availability are considered to be type of equipments life parameters. Parallel lo... more Reliability and Availability are considered to be type of equipments life parameters. Parallel look like other production systems are consists of many equipments, therefore, each of reliability and availability indicates that whether the system is effective or not. In other hand markov models were used to evaluates the functions whose state had been changed in its levels within time changing.Hence each of Reliability, Availability and Markov Models ( RAMM ) can be joined together and employed in evaluation of production systems. Production managers needing to know the productivity of the system which involved in their production plan. This paper introduces an analysis of RAMM with parallel production system in order to estimates its productivity, where such techniques are used individually. It was concluded that Availability and Markov Models are suitable to be used in estimation of productivity, which was depended in production planning.
Kirkuk University Journal / Scientific Studies , 2017
The study was take place with statistical analyasis of available data about
faults ( downtime DT,... more The study was take place with statistical analyasis of available data about faults ( downtime DT, mean time between faults MTBF, mean time to repair MTTR) as dependant variables on fault frequency f as independent variables for fault modes of production equipments and operation times in the sudied period of 26 months. Then simulate it for 25 runs in order to obtain its average that makes the desired results to be more signifigant in generation of mathematical models, which represents the relationships between the predective different times and its comulated density functions. Pareto and Fault tree Analysis of the predictive results showed that the critical equipment (Turbine, Boiler, Condencer, and Generator) with its related faults mode will be a main problem which repeat their faults by 85.16% of the total repetition frequencies while three of them (Turbine, Generator, and Boiler) takes 82.43% of total down times.
This paper describes advanced methods for finding a verified global optimum and finding all solut... more This paper describes advanced methods for finding a verified global optimum and finding all solutions of a system of linear programming, as implemented in the Premium Solver Platform, an extension of the Solver bundled with Microsoft Excel. It also describes the underlying tools that allow Excel spreadsheets to be used over linear data, with fast computation of optimization. Also it provides: a brief overview of Excel’s Add-in Solver; basic theory of optimization as implemented within the Solver; advantages of the Excel Solver in linear programming, and three numerical examples outlining the steps involved in carrying out adjustment of Solver to solve the linear programming problems. The reasons to use of Excel for optimization can be considered a viable option are: (a) Excel is readily available in any Windows
Computer Aided Process Planning (CAPP) has been recognized as playing a key role in Computer Inte... more Computer Aided Process Planning (CAPP) has been recognized as playing a key role in Computer Integrated Manufacturing ( CIM ). It was used as a bridge to link CAD with CAM systems, in order to give the possibility of full integration in agreement with computer engineering to introduce CIM. The benefits of CAPP in the real industrial environment are still to be achieved. Due to different manufacturing applications, many different CAPP systems have been developed. The development of CAPP techniques needs to a summarized classification and a descriptive analysis. This paper presents the most important and famous techniques for the available CAPP systems, which are based on the variant, generative or semi-generative methods, and a descriptive analysis of their application possibilities.
In this paper, constrained non-linear programming problems are solved by using the Sequential Unc... more In this paper, constrained non-linear programming problems are solved by using the Sequential Unconstrained Minimization Technique (SUMT). The most popular formulas (DFP& BFGS) are used with SUMT in minimization of constrained problems. Numerical comparison shows that the Number of Constrained evaluations (NOC) must be used instead of Number of Function evaluations (NOF) as a main factor in the measurement of algorithm performance.
The need for higher production rates and lower production cost emphasized the need to increase th... more The need for higher production rates and lower production cost emphasized the need to increase the rate of metal removal on metal cutting machine tools. This is however, limited by the different technical and technological constraints of the machining process so that the problem has to be handled as an optimization to determining the optimum values of the machining parameters. Several optimization techniques have been developed to solve this problem such as linear and non linear programming methods. However, due to the complexity of the mathematical models and the relatively large number of constraints involved, there is no obvious solution. This paper introduces a developed algorithm and compared to one of the well known iteration method that is the Sequential Unconstrained Minimization Technique (SUMT). The comparison through an example problem shows that the developed algorithm is more efficient, accurate, as well as quicker the optimum solution.
Accelerated development and use of decision-making technology, including the analytical hierarchy... more Accelerated development and use of decision-making technology, including the analytical hierarchy process (AHP) which has a high reliability to solve most of the uncertainty problems and meet their practical requirements, which enabled it to be used in a number of engineering and administrative applications. Statistical design of experiments technology is considered essential keys to deal with random data. Their important features enables us to combine them in a appropriate scenario to predict the prospects and rates of random factors and determine the extent of their impact on the delay for the implementation of a project. This research verified and reach the possibility of using these two techniques in the development of mutual influence between each of random factors, a very high correlation has been proved among such factors, where the correlation coefficient between them is equal to the value (1), a mathematical models that govern random factors effects was built by using of S...
The problem of determining the optimum machining conditions for single-pass and multipass operati... more The problem of determining the optimum machining conditions for single-pass and multipass operations has been investigated. An objective function incorporating a combination of the minimum production cost and minimum production time requirements is considered for optimization. The two criteria of production cost and production time are prioritized through their weight coefficients. A constant multiplier is used to normalize the objective function. The optimum machining conditions are then determined by the Nelder-Mead simplex method. Physical constraints regarding the cutting parameters are also considered. The structure of the objective function is analyzed and the procedure to construct it is discussed. The superiority of the combined objective function over the earlier proposed single criteron objective functions, using the production cost, or production time, or maximum rate of profit, is illustrated. A sensitivity analysis for the weight coefficients and the constant multiplier...
Tikrit Journal of Pure Science : E-ISSN:2415-1726 P-ISSN:1813-1662, 2009
Abstract:
This paper describes advanced methods for finding a verified global optimum and findin... more Abstract:
This paper describes advanced methods for finding a verified global optimum and finding all solutions of a system of linear programming, as implemented in the Premium Solver Platform, an extension of the Solver bundled with Microsoft Excel. It also describes the underlying tools that allow Excel spreadsheets to be used over linear data, with fast computation of optimization.
Also it provides: a brief overview of Excel’s Add-in Solver; basic theory of optimization as implemented within the Solver; advantages of the Excel Solver in linear programming, and three numerical examples outlining the steps involved in carrying out adjustment of Solver to solve the linear programming problems. The reasons to use of Excel for optimization can be considered a viable option are: (a) Excel is readily available in any Windows platform without any additional cost. (b) Excel is easy to use. (c) The data transfer to and from Excel is very flexible.
Computer Aided Process Planning (CAPP) has been recognized as playing a key role in Computer Inte... more Computer Aided Process Planning (CAPP) has been recognized as playing a key role in Computer Integrated Manufacturing ( CIM ). It was used as a bridge to link CAD with CAM systems, in order to give the possibility of full integration in agreement with computer engineering to introduce CIM. The benefits of CAPP in the real industrial environment are still to be achieved. Due to different manufacturing applications, many different CAPP systems have been developed. The development of CAPP techniques needs to a summarized classification and a descriptive analysis. This paper presents the most important and famous techniques for the available CAPP systems, which are based on the variant, generative or semi-generative methods, and a descriptive analysis of their application possibilities.
In this paper, constrained nonlinear prog. problems are solved by using more general conjugate gr... more In this paper, constrained nonlinear prog. problems are solved by using more general conjugate gradient minimization method. This method is invariant to a nonlinear scaling of a strictly convex Q function. The technique generates conjugate, exact or inexact line, search directions when applied to Non-Quadratic function F(q(x)), where q is a quadratic function and F is a non-negative strictly monotonic increasing function. The exact or inexact line search direction is used to modify the updating matrix H in DFP and BFGS methods. Each of these modified matrices are used by SUMT in the minimization of constrained problems. Numerical comparison shows that the new exact line search is coupled with BFGS updating matrix, more efficient algorithm is introduced.
Of vital interest to manufacturing engineer are production rate and costs. In practice a high pro... more Of vital interest to manufacturing engineer are production rate and costs. In practice a high production rate would probably mean low production costs. It should be pointed out that these two common economic criteria must be considered separately and that the machining conditions giving maximum production rate will not be identical to those conditions giving minimum cost of production. A balance between these two sets of machining conditions requires a more efficient criterion, which must achieve a balance in the contribution of both production cost and time criteria into the objective function of machining process. This paper proposes a Multiple Economic Criteria (MEC) model to achieve the required balance.An efficient algorithm was constructed to optimize the proposed model. This algorithm determines the optimal unique combination of machining conditions set. A single and multi pass of turning experiments were done, in order to test the proposed Multiple Criteria Algorithm. It was...
Microscopy: the journal of the Quekett Microscopical Club
The need for higher production rates and lower production cost emphasized the need to increase th... more The need for higher production rates and lower production cost emphasized the need to increase the rate of metal removal on metal cutting machine tools. This is however, limited by the different technical and technological constraints of the machining process so that the problem has to be handled as an optimization to determining the optimum values of the machining parameters. Several optimization techniques have been developed to solve this problem such as linear and non linear programming methods. However, due to the complexity of the mathematical models and the relatively large number of constraints involved, there is no obvious solution. This paper introduces a developed algorithm and compared to one of the well known iteration method that is the Sequential Unconstrained Minimization Technique (SUMT). The comparison through an example problem shows that the developed algorithm is more efficient, accurate, as well as quicker the optimum solution.
Computer Aided Process Planning ( CAPP) has been recognized as playing a key role in Computer Int... more Computer Aided Process Planning ( CAPP) has been recognized as playing a key role in Computer Integrated Manufacturing ( CIM ). It was used as abridge to link CAD with CAM systems, in order to giving the possibility of full integration in agreement with computer engineering to introduce CIM. The benefits of CAPP in the real industrial environment are still to be achieved. Due to different manufacturing applications, many different CAPP systems have been developed. The development of CAPP techniques needs to a summarized classification, and a descriptive analysis. This paper presents the most important and famous techniques for the available CAPP systems, which are based on the variant, generative or semi-generative methods, and a descriptive analysis of their application possibilities in practice.
As a result of lack of conformity of the outer diameter of the filling piston of plastic syringe ... more As a result of lack of conformity of the outer diameter of the filling piston of plastic syringe to the specifications set out in the design map and the increased demand for its products from the Medical syringes factory – Babylon. The research conducts the necessary investigations and analysis of the production process as most of the units rejected by fact that the outer diameter of the filling piston is smaller than the minimum specification and units returned to work due to the fact that the outer diameter larger than the upper limit of the specification. The research aims firstly to examine the outer diameter of the filling piston through the use of the control chart of the variables represented by the average , and its impact on the production process capability because the increase in diameter specification leads to an increase in the pressure imposed on the lining of the cylinder, causing difficulty in piston movement and a decrease in diameter specification which leads to lo...
This paper describes advanced methods for finding a verified global optimum and finding all solut... more This paper describes advanced methods for finding a verified global optimum and finding all solutions of a system of linear programming, as implemented in the Premium Solver Platform, an extension of the Solver bundled with Microsoft Excel. It also describes the underlying tools that allow Excel spreadsheets to be used over linear data, with fast computation of optimization. Also it provides: a brief overview of Excel’s Add-in Solver; basic theory of optimization as implemented within the Solver; advantages of the Excel Solver in linear programming, and three numerical examples outlining the steps involved in carrying out adjustment of Solver to solve the linear programming problems. The reasons to use of Excel for optimization can be considered a viable option are: (a) Excel is readily available in any Windows platform without any additional cost. (b) Excel is easy to use. (c) The data transfer to and from Excel is very flexible.
Accelerated development and use of decision-making technology, including the analytical hierarchy... more Accelerated development and use of decision-making technology, including the analytical hierarchy process (AHP) which has a high reliability to solve most of the uncertainty problems and meet their practical requirements, which enabled it to be used in a number of engineering and administrative applications. Statistical design of experiments technology is considered essential keys to deal with random data. Their important features enables us to combine them in a appropriate scenario to predict the prospects and rates of random factors and determine the extent of their impact on the delay for the implementation of a project.
As a result of lack of conformity of the outer diameter of the filling piston of plastic syringe ... more As a result of lack of conformity of the outer diameter of the filling piston of plastic syringe to the specifications set out in the design map and the increased demand for its products from the Medical syringes factory – Babylon. The research conducts the necessary investigations and analysis of the production process as most of the units rejected by fact that the outer diameter of the filling piston is smaller than the minimum specification and units returned to work due to the fact that the outer diameter larger than the upper limit of the specification. The research aims firstly to examine the outer diameter of the filling piston through the use of the control chart of the variables represented by the average , and its impact on the production process capability because the increase in diameter specification leads to an increase in the pressure imposed on the lining of the cylinder, causing difficulty in piston movement and a decrease in diameter specification which leads to loose the process capability to prevent leakage of fluid, causing air to enter as well as to speed the movement of the piston, which negatively affects human life in both cases. Secondly, study the possibility of improving the production process capability by using advanced levels of the sigma. The results showed that the production process in the case of a disciplined and follows a normal distribution, the pointer of the production process capability is equal to (0.55) and the factory works within the level of Sigma equal to (1.65). The proportion of a damaged product is (15.8 %) and rework (0.99 %). In order to reduce the proportion of damaged product, this paper introduces a quality plan depending on ( ±0.025) as tolerance limits instead of ( ±0.05) to increase sigma level by 202%.
Al-Qadisiyah Journal for Engineering Sciences, 2011
Reliability and Availability are considered to be type of equipments life parameters. Parallel lo... more Reliability and Availability are considered to be type of equipments life parameters. Parallel look like other production systems are consists of many equipments, therefore, each of reliability and availability indicates that whether the system is effective or not. In other hand markov models were used to evaluates the functions whose state had been changed in its levels within time changing.Hence each of Reliability, Availability and Markov Models ( RAMM ) can be joined together and employed in evaluation of production systems. Production managers needing to know the productivity of the system which involved in their production plan. This paper introduces an analysis of RAMM with parallel production system in order to estimates its productivity, where such techniques are used individually. It was concluded that Availability and Markov Models are suitable to be used in estimation of productivity, which was depended in production planning.
Kirkuk University Journal / Scientific Studies , 2017
The study was take place with statistical analyasis of available data about
faults ( downtime DT,... more The study was take place with statistical analyasis of available data about faults ( downtime DT, mean time between faults MTBF, mean time to repair MTTR) as dependant variables on fault frequency f as independent variables for fault modes of production equipments and operation times in the sudied period of 26 months. Then simulate it for 25 runs in order to obtain its average that makes the desired results to be more signifigant in generation of mathematical models, which represents the relationships between the predective different times and its comulated density functions. Pareto and Fault tree Analysis of the predictive results showed that the critical equipment (Turbine, Boiler, Condencer, and Generator) with its related faults mode will be a main problem which repeat their faults by 85.16% of the total repetition frequencies while three of them (Turbine, Generator, and Boiler) takes 82.43% of total down times.
This paper describes advanced methods for finding a verified global optimum and finding all solut... more This paper describes advanced methods for finding a verified global optimum and finding all solutions of a system of linear programming, as implemented in the Premium Solver Platform, an extension of the Solver bundled with Microsoft Excel. It also describes the underlying tools that allow Excel spreadsheets to be used over linear data, with fast computation of optimization. Also it provides: a brief overview of Excel’s Add-in Solver; basic theory of optimization as implemented within the Solver; advantages of the Excel Solver in linear programming, and three numerical examples outlining the steps involved in carrying out adjustment of Solver to solve the linear programming problems. The reasons to use of Excel for optimization can be considered a viable option are: (a) Excel is readily available in any Windows
Computer Aided Process Planning (CAPP) has been recognized as playing a key role in Computer Inte... more Computer Aided Process Planning (CAPP) has been recognized as playing a key role in Computer Integrated Manufacturing ( CIM ). It was used as a bridge to link CAD with CAM systems, in order to give the possibility of full integration in agreement with computer engineering to introduce CIM. The benefits of CAPP in the real industrial environment are still to be achieved. Due to different manufacturing applications, many different CAPP systems have been developed. The development of CAPP techniques needs to a summarized classification and a descriptive analysis. This paper presents the most important and famous techniques for the available CAPP systems, which are based on the variant, generative or semi-generative methods, and a descriptive analysis of their application possibilities.
In this paper, constrained non-linear programming problems are solved by using the Sequential Unc... more In this paper, constrained non-linear programming problems are solved by using the Sequential Unconstrained Minimization Technique (SUMT). The most popular formulas (DFP& BFGS) are used with SUMT in minimization of constrained problems. Numerical comparison shows that the Number of Constrained evaluations (NOC) must be used instead of Number of Function evaluations (NOF) as a main factor in the measurement of algorithm performance.
The need for higher production rates and lower production cost emphasized the need to increase th... more The need for higher production rates and lower production cost emphasized the need to increase the rate of metal removal on metal cutting machine tools. This is however, limited by the different technical and technological constraints of the machining process so that the problem has to be handled as an optimization to determining the optimum values of the machining parameters. Several optimization techniques have been developed to solve this problem such as linear and non linear programming methods. However, due to the complexity of the mathematical models and the relatively large number of constraints involved, there is no obvious solution. This paper introduces a developed algorithm and compared to one of the well known iteration method that is the Sequential Unconstrained Minimization Technique (SUMT). The comparison through an example problem shows that the developed algorithm is more efficient, accurate, as well as quicker the optimum solution.
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Papers by DrSalim Saleh
This paper describes advanced methods for finding a verified global optimum and finding all solutions of a system of linear programming, as implemented in the Premium Solver Platform, an extension of the Solver bundled with Microsoft Excel. It also describes the underlying tools that allow Excel spreadsheets to be used over linear data, with fast computation of optimization.
Also it provides: a brief overview of Excel’s Add-in Solver; basic theory of optimization as implemented within the Solver; advantages of the Excel Solver in linear programming, and three numerical examples outlining the steps involved in carrying out adjustment of Solver to solve the linear programming problems. The reasons to use of Excel for optimization can be considered a viable option are: (a) Excel is readily available in any Windows platform without any additional cost. (b) Excel is easy to use. (c) The data transfer to and from Excel is very flexible.
rejected by fact that the outer diameter of the filling piston is smaller than the minimum specification and units returned to work due to the fact that the outer diameter larger than the upper limit of the specification.
The research aims firstly to examine the outer diameter of the filling piston through the use of the control chart of the variables represented by the average , and its impact on the production process capability because the increase in diameter specification leads to an increase in the pressure imposed on the lining of the cylinder, causing difficulty in piston movement and a decrease in diameter specification which leads to loose the process capability to prevent leakage of fluid, causing air to enter as well as to speed the movement of the piston, which negatively affects human life in both cases. Secondly, study the possibility of improving the production process capability by using advanced levels of the sigma.
The results showed that the production process in the case of a disciplined and follows a normal distribution, the pointer of the production process capability is equal to (0.55) and the factory works within the level of Sigma equal to (1.65). The proportion of a damaged product is (15.8 %) and rework (0.99 %).
In order to reduce the proportion of damaged product, this paper introduces a quality plan depending on ( ±0.025) as tolerance limits instead of ( ±0.05) to increase sigma level by 202%.
Production managers needing to know the productivity of the system which involved in their production plan. This paper introduces an analysis of RAMM with parallel production system in order to estimates its productivity, where such techniques are used individually. It was concluded that Availability and Markov Models are suitable to be used in estimation of productivity, which was depended in production planning.
faults ( downtime DT, mean time between faults MTBF, mean time to repair
MTTR) as dependant variables on fault frequency f as independent variables
for fault modes of production equipments and operation times in the sudied
period of 26 months. Then simulate it for 25 runs in order to obtain its average
that makes the desired results to be more signifigant in generation of
mathematical models, which represents the relationships between the
predective different times and its comulated density functions.
Pareto and Fault tree Analysis of the predictive results showed that the critical
equipment (Turbine, Boiler, Condencer, and Generator) with its related faults
mode will be a main problem which repeat their faults by 85.16% of the total
repetition frequencies while three of them (Turbine, Generator, and Boiler)
takes 82.43% of total down times.
Also it provides: a brief overview of Excel’s Add-in Solver; basic theory of optimization as implemented within the Solver; advantages of the Excel Solver in linear programming, and three numerical examples outlining the steps involved in carrying out adjustment of Solver to solve the linear programming problems. The reasons to use of Excel for optimization can be considered a viable option are: (a) Excel is readily available in any Windows
environment are still to be achieved. Due to different manufacturing applications, many different CAPP systems have been developed. The development of CAPP techniques needs to a summarized classification and a descriptive analysis. This paper presents
the most important and famous techniques for the available CAPP systems, which are based on the variant, generative or semi-generative methods, and a descriptive analysis of their application possibilities.
This paper describes advanced methods for finding a verified global optimum and finding all solutions of a system of linear programming, as implemented in the Premium Solver Platform, an extension of the Solver bundled with Microsoft Excel. It also describes the underlying tools that allow Excel spreadsheets to be used over linear data, with fast computation of optimization.
Also it provides: a brief overview of Excel’s Add-in Solver; basic theory of optimization as implemented within the Solver; advantages of the Excel Solver in linear programming, and three numerical examples outlining the steps involved in carrying out adjustment of Solver to solve the linear programming problems. The reasons to use of Excel for optimization can be considered a viable option are: (a) Excel is readily available in any Windows platform without any additional cost. (b) Excel is easy to use. (c) The data transfer to and from Excel is very flexible.
rejected by fact that the outer diameter of the filling piston is smaller than the minimum specification and units returned to work due to the fact that the outer diameter larger than the upper limit of the specification.
The research aims firstly to examine the outer diameter of the filling piston through the use of the control chart of the variables represented by the average , and its impact on the production process capability because the increase in diameter specification leads to an increase in the pressure imposed on the lining of the cylinder, causing difficulty in piston movement and a decrease in diameter specification which leads to loose the process capability to prevent leakage of fluid, causing air to enter as well as to speed the movement of the piston, which negatively affects human life in both cases. Secondly, study the possibility of improving the production process capability by using advanced levels of the sigma.
The results showed that the production process in the case of a disciplined and follows a normal distribution, the pointer of the production process capability is equal to (0.55) and the factory works within the level of Sigma equal to (1.65). The proportion of a damaged product is (15.8 %) and rework (0.99 %).
In order to reduce the proportion of damaged product, this paper introduces a quality plan depending on ( ±0.025) as tolerance limits instead of ( ±0.05) to increase sigma level by 202%.
Production managers needing to know the productivity of the system which involved in their production plan. This paper introduces an analysis of RAMM with parallel production system in order to estimates its productivity, where such techniques are used individually. It was concluded that Availability and Markov Models are suitable to be used in estimation of productivity, which was depended in production planning.
faults ( downtime DT, mean time between faults MTBF, mean time to repair
MTTR) as dependant variables on fault frequency f as independent variables
for fault modes of production equipments and operation times in the sudied
period of 26 months. Then simulate it for 25 runs in order to obtain its average
that makes the desired results to be more signifigant in generation of
mathematical models, which represents the relationships between the
predective different times and its comulated density functions.
Pareto and Fault tree Analysis of the predictive results showed that the critical
equipment (Turbine, Boiler, Condencer, and Generator) with its related faults
mode will be a main problem which repeat their faults by 85.16% of the total
repetition frequencies while three of them (Turbine, Generator, and Boiler)
takes 82.43% of total down times.
Also it provides: a brief overview of Excel’s Add-in Solver; basic theory of optimization as implemented within the Solver; advantages of the Excel Solver in linear programming, and three numerical examples outlining the steps involved in carrying out adjustment of Solver to solve the linear programming problems. The reasons to use of Excel for optimization can be considered a viable option are: (a) Excel is readily available in any Windows
environment are still to be achieved. Due to different manufacturing applications, many different CAPP systems have been developed. The development of CAPP techniques needs to a summarized classification and a descriptive analysis. This paper presents
the most important and famous techniques for the available CAPP systems, which are based on the variant, generative or semi-generative methods, and a descriptive analysis of their application possibilities.