In this paper we consider a system consisting of a supplier with a single processing unit, a repair center, and a retailer with Poisson demand. We assume that the retailer applies one-for-one ordering policy with backorders for his inventory control. The retailer’s orders form a queue in the supplier processing unit. We also assume that a certain fraction of the products produced by the supplie...

In this paper, we derive mutual information based upper and lower bounds on the number of nonadaptive group tests required to identify a given number of “healthy” items from a large population containing a small number of “defective” items. We show that an impressive reduction in the number of tests is achievable compared to the approach of first identifying all the defective items and then pic...

Abstract Fabric defect detection is anomaly detection, which widely studied in the textile industry. Like most tasks, there are some problems hindering results, such as class imbalance, defective sample scarcity, and feature selection. This paper proposes a method applying depthwise separable convolution autoencoder on dimensionality reduction one-class classifier support vector data descriptio...

CCC-r control chart is a monitoring technique for high yield processes. It is based on the analysis of the number of inspected items until observing a specific number of defective items.  One of the assumptions in implementing CCC-r chart that has a significant effect on the design of the control chart is that the inspection is perfect. However, in reality, due to the multiple reasons, the...

An experimental setup is designed to detect composite delamination damage based on ultrasonic infrared thermography. The ultrasonic infrared thermography system is composed by ultrasonic excitation system, infrared thermal imager and data acquisition system and two damaged composite plate specimens are produced in the experiment. The image processing methods including thresholding, filters, edg...

This paper addresses the problem of reworking of defective items and develops an integrated cost model so as to minimize the extra costs of reworking/scraping of work pieces. Items to be reworked are the results of quality problem. To improve a product’s quality, the selection of process target is extremely important since it directly affects the process defective rate, material cost, rework or...

The main purpose of this paper is to determine the value of economic order quantity (EOQ) with two types of imperfect items, defective and reworked ones, under 100% inspection. Where defective items are treated as scraps and reworked ones will be sent back to supplier to get repaired. A mathematical model is built on the jo in t d ist ribut ion o f defective and reworked un its which fo llow a ...

A supply Chain (SC) with single vendor and single buyer is considered. In this research is presents lead time reduction system in an integrated inventory model for non-defective items in order to minimizing the sum of the ordering cost/setup cost, holding cost, transportation cost, production cost and lead time crashing cost of simultaneously optimizing the optimal order quantity, lead time and...