The project scheduling problem is both practically and theoretically of paramount importance. From the practical perspective, improvement of project scheduling as a critical part of project management process can lead to successful project completion and significantly decrease of the relevant costs. From the theoretical perspective, project scheduling is regarded as one of the in-teresting optimization issues, which has attracted the attention of many researchers in the area of operations research. Therefore, the project scheduling issue has been significantly evaluated over time and has been developed from various aspects. In this research, the topics related to Re-source-Constrained Project Scheduling Problem (RCPSP) are reviewed, recent developments in this field are evaluated, and the results are presented for future studies. In this regard, first, the standard problem of RCPSP is expressed and related developments are presented from four as-pects of resources, characteristics of activities, type of objective functions, and availability level of information. Following that, details about 216 articles conducted on RCPSP during 1980-2017 are expressed. At the end, in line with the statistics obtained from the evaluation of previ-ous articles, suggestions are made for the future studies in order to help the development of new issues in this area.

A search engine is an essential tool in our daily life. With the development of society and net-work technology, the users’ requirement of Internet information is increasing. For most search methods, keyword searching is in a crucial position. However, what about the quality of key-word search in different search engines? This paper evaluates the quality of keyword searching among different search engines project.

In recent years, clients often employ multiple contractors to implement different activities of the projects. Each contractor manages and implements a subset of activities according to the deter-mined schedule and payments. In this situation, time/cost trade-off problem becomes a distributed decision making problem in which the client, as leader, and the contractors, as followers, pursue their own objectives. We establish a multi-objective, bi-level distributed programming model based on fuzzy mathematical programming for this time/cost trade-off problem. The model is then developed for three common behaviors of client i.e. profit seeking, minimization of project time, as well as combination of profit seeking and minimization of project time behaviors. As the solution approaches, we propose transformation method based on Karush-Kuhn-Tucker condi-tions projects to transform bi-level programming problem to a single level one. Numerical results reveal that the client’s behaviors have measurable impact on time and cost of activities performed by contractors. Moreover, we found that when the client does not have complete information about the contractors’ financial situations, the client should make trade-off between his confidence level and his profit.

Risk management plays an important role on the success of the any project. There are several techniques, which are available to help different phases of risk management process. This paper presents a survey to identify the necessary tools, which are mostly implemented and related to the success of any project management, and more specifically with effective project risk management. The survey is based on a questionnaire designed to a sample of project managers from the construction industries. The response data was studied to determine which tools are more used in the organizations, which could yield a better project management performance.

Selection of an appropriate contractor plays an important role for the success of the accomplish-ment of any construction project. This paper presents a multi-criteria decision making method for contractor selection. The proposed study uses six criteria, namely; Experience, Financial stability, Quality performance, Manpower resources, Equipment resources and Current workload for evaluating different contractors. Using analytical hierarchy process, the study ranks these criteria and finds the relative importance of them. Next, The technique for Order of Preference by Simi-larity to ideal Solution (TOPSIS) is used to rank the alternative contractors according to these criteria.