Multi-echelon inventory systems are one of the most important and attractive areas in modelling supply chain management so that several researches and studies have been done about. In this paper, the total cost function of a two-echelon inventory system with central warehouse and many identical retailers controlled by continuous review inventory policy is estimated. We have assumed the demand i...

In this paper, we concentrate on discussing the inventory problem under bifuzzy environment and develop a class of multi-objective inventory model with bifuzzy coefficients. We give the bifuzzy transform operarion and prove the method of solving satisfied solution of multi-objective inventory model. These are applied to a practical inventory problem in which all inventory costs, purchasing and ...

  Among various statistical and data mining discriminant analysis proposed so far for group classification, linear programming discriminant analysis has recently attracted the researchers’ interest. This study evaluates multi-group discriminant linear programming (MDLP) for classification problems against well-known methods such as neural networks and support vector machine. MDLP is less compli...

Abstract. A novel personality inventory is presented in this article, named the Berlin Multi-Facet Personality Inventory. This new instrument an adaptation of items from International Item Pool ( Goldberg, 2006 ) aimed at a more comprehensive set Big Five facets. tool has been developed to comprise large number nonredundant facets below each domains. Two language versions same have (English and...

This paper addresses essential components for predicting earthquake losses in the highly populated area in Dubai, UAE, namely the compilation, classification, design and idealization of the building inventory. Collecting the characteristics of the large and diverse building stock in Dubai is a challenging task. This is achieved using satellite images and confirmatory site visits. A GIS data of ...

Knowledge Discovery in Databases (KDD) is an iterative and multi step process that aims at extracting previously unknown and hidden patterns from a huge volume of databases. Data mining is a stage of the entire KDD process that involves applying a particular data mining algorithm to extract an interesting knowledge. One of the important problems that are used by data mining community is so-call...

We consider the problem of minimizing the overall cost of a supply chain, over a possibility long horizon, under demand uncertainly which is known only crudely. Under such circumstances, the method of choice is Robust Optimization, in particular the Affinely Adjustable Robust Counterpart (AARC) method which leads to tractable deterministic optimization problems. The latter is due to a recent re...

a r t i c l e i n f o JEL classification: C02 M11 C44 C61 Keywords: Multi-item production system Rotation cycle time Multi-delivery Economic production quantity model Scrap Vendor–buyer integrated system This paper addresses the joint determination of a rotation cycle time and number of shipments for a multi-item economic production quantity (EPQ) model with random defective rate. The classic E...

BACKGROUND Low back pain (LBP) is a heterogeneous disorder including patients with dominant nociceptive (e.g., myofascial low back pain), neuropathic (e.g., lumbar radiculopathy), and central sensitization pain. In order to select an effective and preferably also efficient treatment in daily clinical practice, LBP patients should be classified clinically as either predominantly nociceptive, neu...