AN OVERVIEW OF EXISTING STATISTIC METHODS FOR SELECTING OPTIMAL PROCESS PLANNING

Tanya AVRAMOVA, Dimka VASILEVA, Teodora PENEVA

Abstract


The fast development of technology and the rapidly changing market requirements nowadays are putting more and more pressure on production optimization. Analyzing and selecting the optimal process planning to ensure quality, cost efficiency and high productivity, is of paramount importance to companies and still represents a daunting task for them. This review paper discusses the existing methods for selecting optimal process planning by using the statistical indices Cp, Cpk, Pp, Ppk, Cm and Cmk to evaluate its capability. An overview is made between them, the information they provide about the process and their application is introduced. An algorithm for the evaluation of process capability for process planning is proposed, which synthesizes the methods for the evaluation of process capability.

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