The problem of scheduling the production of new and recoverable defective items of the same product manufactured on the same facility is studied. Items are processed in batches. Each batch comprises two sub-batches processed consecutively. In the first subbatch, all the items are newly manufactured. Some of them are of the required good quality and some are defective. The defective items are re...

A real economic growth only comes from increasing quality and quantity of the factors of production. Most production systems produce items which are of imperfect quality. In a production/inventory situation items which are received or produced are not of perfect quality. Thus the presence of defects which is inevitable in a produced/ordered lot is sorted out by the process of screening. Handlin...

This paper proposes a method to detect the defects in region of interest (ROI) based on convolutional neural network (CNN) after alignment (position and rotation calibration) manufacturer’s headlights determine whether vehicle are defective. The results were compared with an existing for distinguishing among previously proposed methods. One hundred original headlight images acquired each two ty...

We study the problem of planning the production of new and recovering defective items of the same product manufactured on the same facility. Items of the product are produced in batches. The processing of a batch includes two stages. In the first work stage, all items of a batch are manufactured and good quality items go to the inventory to satisfy given demands. In the second rework stage, som...

In the present paper we extend in two ways some results presented in Kotz and Johnson (Comm. in Statistics (1982), All ) relating to the study of distributional aspects of effects of errors in inspection sampling: (1) Multistage sampling with k successive samples involving the possibility of two types of errors in inspection (classifying a defective individual as non-defective, or a non-defecti...

Identification of a real time of a change in a process, when an out-of-control signal is present is significant. This may reduce costs of defective products as well as the time of exploring and fixing the cause of defects. Another popular topic in the Statistical Process Control (SPC) is profile monitoring, where knowing the distribution of one or more quality characteristics may not be appropr...

0740-7475/01/$10.00 © 2001 IEEE January–February 2001 AFTER AN INTEGRATED CIRCUIT (IC) design is complete, but before first silicon arrives from the manufacturing facility, the design team prepares a set of test patterns to isolate defective parts. Applying this test pattern set to every manufactured part reduces the fraction of defective parts erroneously sold to customers as defect-free parts...

Typically, traditional inventory models operate under the assumption of perfect quality. In this paper we modify an inventory model with finite-range stochastic lead time to allow for a random number of defective units in a lot. However, there is an extra cost for holding the defective items in the lot for the period before it is returned to the supplier. This paper also considers the option of...

In this paper, we presented an optimal iterative decision rule for minimizing total cost in designing a sampling plan for machine replacement problem using the approach of dynamic programming and Bayesian inferences. Cost of replacing the machine and cost of defectives produced by machine has been considered in model. Concept of control threshold policy has been applied for decision making. If ...