A methodology for determining the cluster of a new project

Yiğit, Aybeniz
By definition, all projects are unique; however R&D projects have specific characteristics that make them harder to manage. The project management methodology applied to R&D projects may show differences due to the categorization of them. But if there exists a categorization of projects, one can analyze the properties of the project classes and then manage similar projects similarly. In this study, the R&D projects of a main military electronics company of Turkey, are analyzed. Tunç (2004) has developed a methodology for clustering the projects of this electronics company. Continuing from his studies, a methodology for determining the class of a new project of this electronics company is developed. For defining the projects in a project space, a Project Identification Card (PIC) is developed. The measurement scale of the PIC is constructed by using the absolutemeasurement Analytic Hierarchy Process. A clustering Tabu Search algorithm is generated for using in the sensitivity analyses of the clusters to projects. And a methodology for determining the cluster of a new project is developed.


On construction of stable project schedules
Görmez, Baran; Serpil, Canan; Department of Industrial Engineering (2005)
It is a well-known fact that project activities are subject to considerable uncertainty, which may lead to multiple schedule disruptions during project execution. As a result, the random nature of activity durations has been the subject of numerous research efforts since the introduction of the initial PERT. A common problem which arises in project management is the fact that the planned schedule is often disrupted by several uncontrollable factors like weather conditions, other environmental factors, addit...
Modeling the dynamics of creative industries : the case of film industries
Oruç, Sercan; Azizoğlu, Meral; Department of Industrial Engineering (2010)
Dynamic complexity occurs in every social structure. Film industry, as a type of creative industries, constitutes a dynamic environment where uncertainty is at high levels. This complexity of the environment renders the more traditional operations research models somewhat ineffective, and thus, requires a dynamic analysis. In this study, a model showing the dynamics of film exhibition is given. The interactions within and between the theatrical and the DVD sales channels are implemented by the model. Later ...
The budget constrained discrete time/cost trade-off problem in project networks
Değirmenci, Güvenç; Azizoğlu, Meral; Department of Industrial Engineering (2008)
The time/cost trade-off models in project management aim to compress the project completion time by accelerating the activity durations at an expense of additional resources. The budget problem in discrete time/cost trade-off scheduling selects the time/cost mode -among the discrete set of specified modes- for each activity so as to minimize the project completion time without exceeding the available budget. There may be alternative modes that solve the budget problem optimally, however each solution may ha...
An improved organization method for association rules and a basis for comparison of methods
Jabarnejad, Masood; Köksal, Gülser; Department of Industrial Engineering (2010)
In large data, set of mined association rules are typically large in number and hard to interpret. Some grouping and pruning methods have been developed to make rules more understandable. In this study, one of these methods is modified to be more effective and more efficient in applications including low thresholds for support or confidence, such as association analysis of product/process quality improvement. Results of experiments on benchmark datasets show that the proposed method groups and prunes more r...
A probabilistic approach to multi criteria sorting problem
Buğdacı, Aslı Gül; Köksalan, Murat; Department of Industrial Engineering (2009)
We aim to classify alternatives evaluated in multiple criteria among preference ordered classes assuming an underlying additive utility function. We develop a probabilistic classification method by calculating the probability of an alternative being in each class. We assign alternatives to classes based on threshold probabilities. We require the decision maker to place an alternative to a class when no alternatives satisfy the required thresholds. We find new probabilities for unassigned alternatives in the...
Citation Formats
A. Yiğit, “A methodology for determining the cluster of a new project,” M.S. - Master of Science, Middle East Technical University, 2005.