Sharif Digital Repository

Emergency Department (ED) overcrowding is one the most problems and challenges that every Emergency Department all over the world is facing with. This problem leads to some problems like prolonged waiting times and Length of Stay in Emergency Department. “Boarding time” is one of the most important ones, which is the time a patient spend for being transferred from Emergency Department to one of the Hospital Inpatient Wards. One important solution to this problem is “overflowing”, and it means allocating patients to an alternative ward rather than their primary ward. In practice, the overflowing process usually controlled in a myopic manner. Limited number of researches that focus in this... 

Due to the vast application of networks in the modeling of problems, the analysis of networks has been gaining a noticeable importance in recent researches. There are some cases in which we are looking for nodes that are highly connected to other nodes. However, the detailed information of the network structure is not always available; or because of complexity, it is not possible to investigate whole network and pick high-degree nodes; or investigating the network completely is too time-consuming. In such cases, algorithms which do not need the whole network information play a significant role. Friendship paradox as a topological feature of graphs can be helpful in designing such algorithms.... 

Computer video games have had a huge growth in recent years, and Dota 2 is one of the most popular video games and e-sports right now. In this research, Dota 2 drafting phase is studied by using stochastic processes and probabilistic models. This phase is modeled as a POMDP (Partially Observable Markov Decision Process) for the first time. Afterwards, the model is solved using data mining methods and machine learning algorithms. A large database of the game's match data is created, and six different machine learning algorithms are used to predict the match outcome based on the drafting stage. The prediction accuracy and power of these algorithms is compared, and finally, a program is... 

Business process management (BPM) is an approach which helps managers to gain success in their organization by becoming capable of identifying and developing their processes. Process improvement is a difficult and important step in BPM since modern organizations have a huge number of processes and activities with complex and complicated relationships and interrelationships. In this work our goal is to rank and prioritize processes based on operational limitations of the organization such as budget, human resources, consumer resources and also relationships among processes have been considered and finally develop a portfolio of processes which are vital and essential for improvement.... 

Cloud Manufacturing have been provided the proper context for efficient and effective using from distributed and various sources for agile and fast responsiveness to various customer demands. Product request from customers lead to define the operations in shop-floor levels that must be process by production equipment in shop-floors. The planning and scheduling problem of this activities have been most important challenge for decision makers. Therefore, the development of ways and methods can exploit efficiently from distributed resources and in confront of customer reqirement have been adaptive is most important. In this study an adaptive approach can be considered in terms of assigning the... 

This research attempts to develop the optimal solution for an inventory problem consisting of a single machine which produces items some of which may be defective. We assume that no shortages are allowed and all defective items are to be reworked. Setup cost for rework and waiting time of defectives are considered. This research consists of two different parts. In the first part we consider two different policies where in the first policy in each cycle after the regular production the machine is setup for the rework of defectives of the same cycle. In the second policy several cycles constitute a period. All the defectives produced in the period are reworked in the last cycle of that period.... 

Fulfilling the demands of customers, used to be the main purpose of Supply Chain Network Designers. Soon after that, the environmental concerns created the concept of Reverse Logistic in order to prevent goods from being scattered in the environment after their disposal. Governmental regulations and people's concerns, forced the factories to gather the created pollutions of the environment. They gradualy confessed the positive impacts of these ruturns on their financials. The flow of forward and reverse logistics establishes a Closed-Loop in which the returning economical circumstances were transferd into original factories. Later, Open-Loops were created. In open-loops the returns have to... 

Although inventory control under discrete demand in dynamic quantities and time intervals are very common in reality, existing literature has largely ignored them. In this thesis, we investigate the inventory control decisions in a two echelon supply chain. The vendor supplies a product to several retailers, buying discrete quantities in pre-determined time intervals. The order quantity and order cycles for each retailer can be different from others. We have developed a new efficient algorithm to find the optimal ordering policy involves the scheduling and the order quantity of vendor to his supplier to minimize his cost function in infinite time horizon. Moreover, we have designed a revenue... 

Generally, nowadays, machine learning methods are used in many different areas for their superiority over other methods of prediction. Although being a tough task, stock market prediction with machine learning approaches is being spread due to satisfying results published ever yday. Machine learning methods usually use varied kinds of data ,including structured data such as market data, technical indicators and some fundamental data as well as unstructured one entailing text and graph data in order to enhance their predictability capacity. In this thesis we aimed to find out more about the importance and the contribution of structured data in prediction and we tried to attain a framework...