We describe a MIX cascade protocol and a reputation system that together increase the reliability of a network of MIX cascades. In our protocol, MIX nodes periodically generate a communally random seed that, along with their reputations, determines cascade configuration. Nodes send test messages to monitor their cascades. Senders can also demonstrate message decryptions to convince honest casca...

Most algorithms for solving vehicle routing problems use the criterion of minimizing total travel time in forming their routes. As illustrated in the paper, even in the case of a homogeneous fleet, solutions using other criteria may be preferred to the solution generated by minimizing total travel time. This situation becomes more pronounced when considering a vehicle routing problem where the ...

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining optimal level production output which can affect their business performance. Product mix optimization one main key planning. Many company have used linear programming model combination various products that need to be produced order maximize profit. Thus, t...

BACKGROUND Meta-analysis has become a well-known method for synthesis of quantitative data from previously conducted research in applied health sciences. So far, meta-analysis has been particularly useful in evaluating and comparing therapies and in assessing causes of disease. Consequently, the number of software packages that can perform meta-analysis has increased over the years. Unfortunate...

The Jakobsson hybrid Mix-net proposed by Jakobsson and Juels, is a very practical and efficient scheme for long input messages. But this hybrid Mix-net does not have public verifiable property. In this paper a new attack to the Jakobsson hybrid Mix-net is introduced. This attack breaks the robustness of the hybrid Mix-net scheme, given that the corrupted first mix server and one of the senders ...

Hospital case mix and capacity planning involves the decision making both on patient volumes that can be taken care of at a hospital and on resource requirements and capacity management. In this research, to advance both the hospital resource efficiency and the health care service level, a multilevel integrative approach to the planning problem is proposed on the basis of mathematical programmi...

Objectives: This research aims to sneak into the retailer\'s perception about that customer segment and plan a product mix accordingly. The focus is on small players in towns not having deep pockets synergize decisions effectively. Methods: data used this paper from Hatchers, medium-sized enterprise with zero budget for software decisions. was collected through face-to-face interviews ten repre...

Hospital case mix and capacity planning involves the decision making both on patient volumes that can be taken care of at a hospital and on resource requirements and capacity management. In this research, to advance both the hospital resource efficiency and the health care service level, a multilevel integrative approach to the planning problem is proposed on the basis of mathematical programmi...

This paper describes a project dealing with achieving an optimum mix of water from different underground wells, each having different amounts of nitrates and chlorides. The amounts of chlorides and nitrates in each of the wells may be higher or lower than the World Health Organization (WHO) standards. Therefore, the optimum mix would be the one that meets WHO standard which is 250 mg/l for chlo...

Data envelopment analysis (DEA) is a linear programming based non-parametric technique for evaluating the relative efficiency of homogeneous decision making units (DMUs) on the basis of multiple inputs and multiple outputs. There exist radial and non-radial models in DEA. Radial models only deal with proportional changes of inputs/outputs and neglect the input/output slacks. On the other hand, ...