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...

background: chronic kidney disease is asymptomatic until its last stages and though it is increasing globally, we are faced with paucity of a population-based model to assess this disease, particularly in developing countries. therefore, the aim of this study was to estimate the prevalence and trends of ckd according to a new estimation method.   methods: using multiplier method, we estimated t...

introduction: oral diseases are the most prevalent diseases probable at any age. they are chronic in nature and expensive to care.  accurate, comprehensive, well-structured, well-managed data is required to control and prevent oral diseases, clinical audit, quality of patient care, and administrative, financial, research and legal goals fulfillment we need. in dentistry, data collection would p...

an important issue in power generation and petrochemical industries is the monitoring of pipe wall thickness and corrosion/erosion rate. the pipes are usually subject to erosive and/or corrosive environments and any failure could be catastrophic. while periodic manual ultrasonic thickness measurement is the common practice in many industries, in certain cases, where higher accuracies are requir...

In this study, detection and identification of common faults in industrial gas turbines is investigated. We propose a model-based robust fault detection(FD) method based on multiple models. For residual generation a bank of Local Linear Neuro-Fuzzy (LLNF) models is used. Moreover, in fault detection step, a passive approach based on adaptive threshold is employed. To achieve this purpose, the a...

the objective of this article is to develop an empirically based framework for formulating and selecting a vendor in supply chain. this study applies the fuzzy set theory to evaluate the vendor selection decision. applying analytic hierarchy process (ahp) in obtaining criteria weights and applied technique for order performance by similarity to idea solution (topsis) for obtaining final ranking...