A continuing challenge for software developers is to design and develop efficient and cost-effective software implementation. Designing and developing new manufacturing applications is even time consuming and expensive due to the nature of manufacturing domain, which is diverse and complex. Using an object-oriented application framework is a promising means for alleviating this cost. An object-oriented application framework is a reusable software component providing large-scale reuse, which could include reuse of analysis, design and implementation in order to develop software faster to market. The main objective of this research is to provide a solution by developing an object-oriented manufacturing application framework in the do...
The deployment of statistical process control (SPC) in manufacturing environments is a prominent glo...
While many researchers have attempted to directly apply statistical process control (SPC) to the sof...
In today’s competitive world, predicting the process variation and data based decision making is the...
The problematic issues in the development of manufacturing software systems are related to the vario...
The problematic issues in the development of manufacturing software systems are related to the vario...
abstract: Statistical process control (SPC) is an important quality application that is used through...
Measurement based software process improvement is nowadays a mandatory activity. This implies contin...
Measurement based software process improvement is nowadays a mandatory activity. This implies contin...
The myth of software development being a 'black art' has long gone. Today, many software engineering...
In the process industry the current computer architecture is based on the hierarchy of operational f...
Measurement based software process improvement is nowadays a mandatory activity. This implies contin...
Measurement based software process improvement is nowadays a mandatory activity. This implies contin...
This project is motivated by an interest in promoting the use computer-based statistical process con...
Statistical process control (SPC) implementation plays a major role in quality assurance during the ...
This paper summarises research carried out under the above area, and examines the use of Object-Orie...
The deployment of statistical process control (SPC) in manufacturing environments is a prominent glo...
While many researchers have attempted to directly apply statistical process control (SPC) to the sof...
In today’s competitive world, predicting the process variation and data based decision making is the...
The problematic issues in the development of manufacturing software systems are related to the vario...
The problematic issues in the development of manufacturing software systems are related to the vario...
abstract: Statistical process control (SPC) is an important quality application that is used through...
Measurement based software process improvement is nowadays a mandatory activity. This implies contin...
Measurement based software process improvement is nowadays a mandatory activity. This implies contin...
The myth of software development being a 'black art' has long gone. Today, many software engineering...
In the process industry the current computer architecture is based on the hierarchy of operational f...
Measurement based software process improvement is nowadays a mandatory activity. This implies contin...
Measurement based software process improvement is nowadays a mandatory activity. This implies contin...
This project is motivated by an interest in promoting the use computer-based statistical process con...
Statistical process control (SPC) implementation plays a major role in quality assurance during the ...
This paper summarises research carried out under the above area, and examines the use of Object-Orie...
The deployment of statistical process control (SPC) in manufacturing environments is a prominent glo...
While many researchers have attempted to directly apply statistical process control (SPC) to the sof...
In today’s competitive world, predicting the process variation and data based decision making is the...