An Examination of PRPG Selection Approaches for Large, Industrial Designs
نویسندگان
چکیده
A study for selecting effective PRPGs for large industrial designs is undertaken. For the PRPG selection process, guidance from a set of ISCAS benchmark circuits is initially sought. The set of benchmark circuits used is shown to be ineffective in providing material guidance. The alternative of PRPG selection through actual design experimentation is examined and its weaknesses identified and outlined. A brief DFT analysis is outlined to indicate the importance of early PRPG selection.
منابع مشابه
Feature-based Signal Selection for Post-silicon Debug using Machine Learning
A key challenge of post-silicon validation methodology is to select a limited number of trace signals that are effective during post-silicon debug. Structural analysis used by traditional signal selection techniques are fast but lead to poor restoration quality. In contrast, simulation-based selection techniques provide superior restorability but incur significant computation overhead. While ea...
متن کاملModelling Integrated Multi-item Supplier Selection with Shipping Frequencies
There are many benefits for coordination of multiple suppliers when single supplier cannot satisfy buyer demands. In addition, buyer needs to purchase multiple items in a real supply chain. So, a model that satisfies these requests has many advantages. We extend the existing approaches in the literature that assume all suppliers need to be put on a common replenishment cycle and each supplier ...
متن کاملA DEA-bases Approach for Multi-objective Design of Attribute Acceptance Sampling Plans
Acceptance sampling (AS), as one of the main fields of statistical quality control (SQC),involves a system of principles and methods to make decisions about accepting or rejecting alot or sample. For attributes, the design of a single AS plan generally requires determination ofsample size, and acceptance number. Numerous approaches have been developed foroptimally selection of design parameters...
متن کاملSelection of Sustainable Supplier for Medical Centers with Data Envelopment Analysis (DEA) & Multi-Attributed Utility Theory (MAUT) Approaches
Background and Objectives: The selection of the sustainable supplier is important for any industry. Medical centers are not an exception in this case, and selecting the best sustainable supplier is a major step towards increasing their productivity. This paper, using the Data Envelopment Analysis and then using Multi-Attributed Utility Theory as a backup approach to fix errors, attempts t...
متن کاملAn Integrated Decision Making Model for Manufacturing Cell Formation and Supplier Selection
Optimization of the complete manufacturing and supply process has become a critical ingredient for gaining a competitive advantage. This article provides a unified mathematical framework for modeling manufacturing cell configuration and raw material supplier selection in a two-level supply chain network. The commonly used manufacturing design parameters along with supplier selection and a subco...
متن کامل