The objective of this paper is to develop a framework that integrates two important concepts: Statistical process control (SPC) and engineering process control (EPC). Most of the literature researches on integrated SPC/EPC systems are focused into continuous process mainly with Algorithmic SPC. The integrated SPC/EPC systems in batch process control have not received the same degree of attentio...

Software reliability may be used as a measure of the Software system‟s success in providing its function properly. Software process improvement helps in finishing with reliable software product. Software process improvement includes monitoring software development practices and actively seeking ways to increase value, reduce errors, increase productivity, and enhance the developer‟s environment...

This article proposes an algorithm for deploying manpower to a statistical process control (SPC) system that monitors a multistage manufacturing system. The algorithm minimizes the expected total cost by optimizing the amount of allocated manpower in the SPC system (referred to as an M-SPC system), as well as the sample sizes, sampling intervals and control limits of the control charts. It also...

To characterise statistical inference in the workplace this paper compares a prototypical type of statistical inference at work, statistical process control (SPC), with a type of statistical inference that is better known in educational settings, hypothesis testing. Although there are some similarities between the reasoning structure involved in hypothesis testing and SPC that point to key char...

With recent advances in Information Technology (IT), research on and the practice of information sharing are exerting significant effects on many aspects of individual members in a multi-stage process or a supply chain. This research looks at how information of Statistical Process Control (SPC) and Engineering Process Control (EPC) is shared along a supply chain on a real-time basis for product...

This report examines the implementation of Statistical Process Control (SPC) in a sample of six UK companies. Practices, problems, and training procedures are identiied and compared in order to assess training needs. Recommendations are made for eeective SPC training and a prototype training package is described.

Theoretical scheduling has reached a mature state but there are difficulties in using the theory in practice. One of the issues is the occurrence of disturbances. Studies have been done to investigate the possibility of using control chart techniques to detect disturbances in production planning and scheduling. Appropriate control chart techniques have been developed that avoid statistical prob...

STATISTICAL process control (SPC) is concerned with monitoring processes for a change in distribution. In traditional SPC settings, it is assumed that the distribution of the process prior to any change points is fully known, including all its parameters. The process is said to be in-control if it is being generated by the prechange distribution and out-of-control if a change occurs that causes...

This paper considers statistical process control (SPC) of univariate processes when the parametric form of the process distribution is unavailable. Most existing SPC procedures are based on the assumption that a parametric form (e.g., normal) of the process distribution can be specified beforehand. In the literature, it has been demonstrated that their performance is unreliable in cases when th...