Reducing fabric faults in the textile knitting industry is one of main challenges for knit production. Due to defects, sigma level production between 3 3.5. This study aims increase productions. Here, we implement a six strategy industry. The Six Sigma methodology applied step by on floor. DMAIC approach clearly stated through phases defining, measurement, analysis, improvement and control. typ...

Abstract The tyre remanufacturing industries are facing quality and performance issues of the remanufactured tyres as they have developed their own retreading methods due to lack standardized process guidelines. This study focuses on identifying challenges process, highlighting various defects in retread causes so that could be mitigated improved. To achieve objectives study, tools including fi...

Pareto optimization combines independent objectives by computing the Pareto front of the search space, yielding a set of optima where none scores better on all objectives than any other. Recently, it was shown that Pareto optimization seamlessly integrates with algebraic dynamic programming: when scoring schemes A and B can correctly evaluate the search space via dynamic programming, then so ca...

Self-optimization enables technical systems to adapt their behavior to varying environmental conditions and changing system settings. Objective functions serve as evaluation criteria for the system behavior. In this paper we propose a hierarchical control approach of an objective-based Pareto controller. We separate the processes of optimization and control. First, we use multiobjective optimiz...

in this paper, we derive the exact analytical expressions for the shannon entropy of generalized orderstatistics from pareto-type and related distributions.

In a recent publication, we presented a new multiobjective decision-making tool for use in conceptual engineering design. In the present paper, we provide important developments that support the next phase in the evolution of the tool. These developments, together with those of our previous work, provide a concept selection approach that capitalizes on the benefits of computational optimization...

this article examines statistical inference for  where and are independent but not identically distributed pareto of the first kind (pareto (i)) random variables with same scale parameter but different shape parameters. the maximum likelihood, uniformly minimum variance unbiased and bayes estimators with gamma prior are used for this purpose. simulation studies which compare the estimators are ...

Thin-walled structures have been used in many fields due to their superior mechanical properties. In this paper, two types of hierarchical multi-cell tubes, inspired by the self-similarity Pinus sylvestris, are proposed enhance structural energy absorption performance. The finite element models established validate crashworthiness performance under axial dynamic load. theoretical model mean cru...

binary decision diagram (bdd) is a data structure proved to be compact in representation and efficient in manipulation of boolean formulas. using binary decision diagram in network reliability analysis has already been investigated by some researchers. in this paper we show how an exact algorithm for network reliability can be improved and implemented efficiently by using cudd - colorado univer...