As the industrial requirements change rapidly due to drastic evolution of technology, necessity quickly investigating potential system alternatives towards a more efficient manufacturing design arises intensely than ever. Production simulation has proven be powerful tool for designing and evaluating its low cost, quick analysis, risk meaningful insight that it may provide, improving understandi...

one of the most important problems of the designs proposed by traditional economic-statistical approaches of control charts is inefficiency in the face of uncertainty. uncertainty in the parameters of economic-statistical models may lead to failure in rapidly detecting changes in processes and impose greater costs to the organization. monitoring the machining process in an automotive industry e...

FDA's PAT Initiative provides an unprecedented opportunity for chemical engineers to play significant roles in the pharmaceutical industry. On-line process control, as an enabling process understanding tool and advanced quality control strategy, has been widely adopted in other industrial sectors. In the present manuscript, the authors will provide their perspectives on the need of chemical eng...

The underlying principles, techniques & methodology of robust design are discussed in detail in this report with a case study presented to appreciate the effectiveness of robust design. The importance of Parameter design & Tolerance design as the major elements in Quality engineering are described. The Quadratic loss functions for different quality characteristics are narrated, highlighting the...

The use of quadratic loss functions has been advocated in quality engineering and experimental design for process optimization and robust design. We derive theoretical density functions and variances for nominal-the-best, smaller-the-better, and larger-the-better quadratic loss functions in general and when the response variable has a specified distribution. While considerable attention has bee...

This article discusses solving non-linear programming problems containing integer, discrete and continuous variables. The Part 1 of the article describes a novel optimization method based on Differential Evolution algorithm. The required handling techniques for integer, discrete and continuous variables are described including the techniques needed to handle boundary constraints as well as thos...

This article discusses solving non-linear programming problems containing integer, discrete and continuous variables. The Part 1 of the article describes a novel optimization method based on Differential Evolution algorithm. The required handling techniques for integer, discrete and continuous variables are described including the techniques needed to handle boundary constraints as well as thos...