Planning of the demand response has received special attention due to cost transmission lines development and shortage energy resources beside growth demand. This research work is focused on role microgrid (MG) as an alternative solution for system proposed a method modeling MGs in capacity market. The results show that using leads reduce costs system. Moreover, cause slight increase profitabil...

The strict latency constraints of emerging vehicular applications make it unfeasible to forward sensing data from vehicles the cloud for processing. To shorten network latency, fog computing (VFC) moves computation edge Internet, with extension support mobility distributed entities [a.k.a nodes (FNs)]. In other words, VFC proposes complement stationary FNs co-located cellular base stations mobi...

Green Capacity Planning is a holistic planning approach for today’s data centers that incorporates environmental considerations into traditional computer and network capacity planning. This paper presents the methodology, terminology, and practical application of the approach with a case study that evaluates the capacity, storage, and energy footprint of an existing eCommerce system. The case s...

Capacity planning in the regeneration of complex capital goods faces major challenges because it is affected by a high level of uncertain workload information. A methodology is developed here to predict the regeneration workload on the basis of the CRISP-DM model using Bayesian networks. The forecasts are validated for the different capacity planning levels. The results support the conclusion t...

MRP (Material Requirement Planning) process generates a production plan which guarantees an exact quantity of right materials on needed time but it sometimes causes capacity problems in the shop floor because of its ignorance on capacity constraints. This paper presents a new planning method which involves the capacity planning during the MRP process. This planning method starts from generating...

This paper addresses the problem of determining the work schedule, called medical planning, of oncologists for chemotherapy of oncology patients at ambulatory care units. A mixed integer programming (MIP) model is proposed for medical planning in order to best balance bed capacity requirements under capacity constraints of key resources such as beds and oncologists. The most salient feature of ...

Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain central planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes central planning for firms with semiconductor fabrication facilities (FABS) as a component of a complex demand supply network(DSN) where m...

Storage is undoubtedly one of the main resources in data grids, and planning the capacity of storage nodes is an important step in any data-grid design. This paper focuses on storage-capacity planning for data grids. We have developed a tool to calculate, for a specific scenario, the minimum capacity required for each storage node in a grid, and we have used this tool to show that different str...

presence of distributed generation (dg) in electric distribution systems provides an attractive new alternative in capacity expansion planning of these systems. in this paper a new model is developed for solving simultaneous placement of hv/mv substations and dg units as a static planning tool. this model aims to minimize fixed and variable costs of planning. constraints related to dgs, substat...

Capacity planning is the process of determining the most cost-effective computing environment that meets the current and future demands of a computing system. Capacity planning is important for large database management systems (DBMSs) whose performance can be greatly affected by the amount of available resources and whose workloads can change significantly over time. In this paper, we examine ...