We present a two-echelon dual-channel inventory model in which stocks are kept in both a manufacturer warehouse (upper echelon) and a retail store (lower echelon), and the product is available in two supply channels: a traditional retail store and an Internet-enabled direct channel. The system receives stochastic demand from two customer segments: those who prefer the traditional retail store a...

Full, accurate and evident information about stocks is a key factor of successful inventory management process. Effective inventory management should include a comprehensive solution, based on mathematical methods and control of current balances and software. Such solution for small businesses should be effective and should not be too expensive. The paper shows an approach to using database tec...

Individual tree species identification is important for urban forest inventory and ecology management. Recent advances in remote sensing technologies facilitate more detailed estimation of individual urban tree characteristics. This study presents an approach to improve the classification of individual tree species via longitudinal profiles from very high spatial resolution airborne imagery. Th...

This paper offered a procedure for ranking the entrepreneurial and innovative indicators using Multi Criteria Decision Making (MCDM), taking into account three individual,organizational and cultural dimensions simultaneously in decision making procedure. Henceforward, by using the Meta synthesis framework, the form of group classification of indicators from afinding’s combination was suggested ...

One of the interesting features Multi-Criteria Decision Making/ Multiple Attribute Making (MCDM/ MADM) is that a number techniques can be used to solve same problem. In general, three common categories decision problems are choice problem, ranking and sorting While, issue more emphasized in MCDM/ MADM, but literature weakly consider problems. Several solutions for above problem suggested (i.e.,...

Traditional data mining algorithms will not work efficiently for most of the real world applications where the data is stored in relational format. Even well-known traditional classification technique such as J48, Naïve Bayes often suffers from poor scalability and unsatisfactory predictive performance when it comes to working with relational data. Moreover the performance of existing relationa...

Market segmentation has emerged as the primary means by which firms achieve optimal production policy. In this paper, we use market segmentation approach in multi-product inventory system with inventory-level-dependent demand. The objective is to make use of optimal control theory to solve the inventory-production problem and develop an optimal production policy that minimizes the total cost as...