In this study, the coordinated inventory models with allowable trade credit are developed. The demand is considered to be price-sensitive and decreasing function of time. The models consider the two-level trade credit policy, i.e., vendor offers some credit period to buyer and buyer in turn...

Centrifugal pumps are a crucial part of many industrial plants. Early detection of faults in pumps can increase their reliability, reduce energy consumption, service and maintenance costs, and increase their life-cycle and safety, thus resulting in a significant reduction in life-time costs....

TREPAN is decision tree algorithm that utilises artificial neural networks (ANNs) in order to improve partitioning conditions when sample data is sparse. When sample sizes are limited during the tree-induction process, TREPAN relies on an ANN oracle in order to create artificial sample...

We propose effective steps for skill up in five-why for investigate root cause in order to find solutions to quality problems that lead to customer complaints. Skill up in five-why consists of four stages: skill up for beginners, skill up for masters, certification of skill up and evaluation of...

This paper discusses a deterministic inventory model for Weibull deteriorating items with partial backlogging under ramp type demand function. Shortages are allowed. Here we consider replenishment cycles, the time at which shortage begins; replenishment time and the optimal selling price are...

Land transportation managers face some difficulties especially for operating decisions which are about load/capacity/route planning. Load consolidation is a widely used practice in transportation. Load consolidation is grouping of several small shipments into one container while satisfying...

Vibration signals are used in fault diagnosis of rotary machines as a source of information. Lots of work have been reported on identification of faults in roller bearing by using many techniques. Of late, application of machine learning approach in fault diagnosis is gaining momentum. Machine...

The major industrial control purpose is the reaching of the expected performances. In this sense, improvement processes are continuously carried out in order to define the right actions with regard to the objectives achievement. Thus, in order to better monitor the performance continuous...

Statistical data mining is one of the popular research fields of exploring valuable information from the large number of collected data. Applying statistical data mining techniques in several fields like medicine, bioinformatics, business, and bacteriology can be beneficial. Among them,...

Logistic regression (LR) continues to be one of the most widely used methods in data mining in general and binary data classification in particular. This paper is focused on providing an overview of the most important aspects of LR when used in data analysis, specifically from an algorithmic and...