The bullwhip effect in nowadays Supply Chains has become a major source of problems and has attracted supply chain scientists attentions. This paper explores the concept of bullwhip effect in supply chains throughout a completely new approach. Assuming all demands are fuzzy in supply chain, fuzzy If-Then rules are used to show the bullwhip effect. Application of fuzzy logic is due to the fuzzy ...

Remanufacturing is an industrial process that makes used products reusable. Remanufacturing is a way to establish a closed-loop supply chain. One of the important aspects in both reverse logistics and remanufacturing is pricing of returned and remanufactured products (called cores) that it has been noticed in this paper. In addition, in this paper the researchers have tried to present a mathema...

Creating distinctive harmonizations in an identifiable style may be one of the most difficult tasks for amateur song writers, a novel and acceptable melody being relatively easier to produce; and this difficulty may result in the abandonment of otherwise worthwhile projects. To model and assist in this creative process, we propose a hybrid system for generating style-specific accompaniment, whi...

This study examines the economic consequences of internet financial reporting (IFR) in Taiwan. The results show that the stock prices of IFR firms change more quickly than those of the non-IFR firms using Akaike’s (1969) Final Prediction Error (FPE) methodology. Second, the results from the event study methodology show that the cumulative abnormal returns of the firms with IFR are significantly...

remanufacturing is an industrial process that makes used products reusable. remanufacturing is a way to establish a closed-loop supply chain. one of the important aspects in both reverse logistics and remanufacturing is pricing of returned and remanufactured products (called cores) that it has been noticed in this paper. in addition, in this paper the researchers have tried to present a mathema...

The importance of predicting Web users’ behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models are the most commonly used approaches for this type of prediction. Association rules tend to generate many rules, which result in contradictory predictions for a user session. Low order Markov models do not use enough user br...

Unlike commonly used methods, in this paper, we have introduced a new approach for designing fuzzy controllers. In this approach, we have simultaneously optimized both objective functions of a supply chain over a two-dimensional space. Then, we have obtained a spectrum of optimized points, each of which represents a set of optimal parameters which can be chosen by the manager ...

It is well established that the notion of min-entropy fails to satisfy the chain rule of the form H(X,Y ) = H(X|Y )+ H(Y ), known for Shannon Entropy. The lack of a chain rule causes a lot of technical difficulties, particularly in cryptography where the chain rule would be a natural way to analyze how min-entropy is split among smaller blocks. Such problems arise for example when constructing ...

Computational notions of entropy have recently found many applications, including leakageresilient cryptography, deterministic encryption or memory delegation. The two main types of results which make computational notions so useful are (1) Chain rules, which quantify by how much the computational entropy of a variable decreases if conditioned on some other variable (2) Transformations, which q...