| Nowadays, construction projects typically involve several organizations (joint-venture) to work simultaneously on the same projects. Each individual organization has their own schedule to follow and usually is not aware of each other's work, resulting in inevitable interfaces and project delays. Because interfaces can cause major problems in the project cost, schedule, quality, etc., it is a vital to identify the interfaces as soon as possible; and if interfaces do in fact occur, a quick solution is necessary. This thesis presents a method of identifying interfaces, but mostly deals with decision-making within interface management.;The purpose of this research is to develop a tool that will help construction personnel make the best decision within interface management. Three different models were created: Interface Decision Support Tool (IDST) deterministic model, fuzzy logic IDST model and AHP model. These models offer a contribution to the area of the construction management/interface management. They give owners, PMs and other construction personnel a significant tool that can assist with decision-making, finding the solution to interface problems.;A case study is conducted to test the validity of these models. The advantage of the IDST model is that it can be built and modified in relatively short amount of time, making it fast and easy to use. The algorithm created in this model is based on rule-based system, created through expert judgments and research. The disadvantage of this model is that it uses only six defined rules, capturing less detail than the other models. As a result, the final solution was different then from other two models. However, this factor can be modified by increasing the number of criteria/factors.;The fuzzy logic IDST model is based on fuzzy logic, and can be used to solve complex interface problems plagued by uncertainty and imprecision. The fuzzy IDST model is also more detailed in structure than the IDST model. The fuzzy IDST model uses a set of rules to define the optimal solution. The contractors/work packages that satisfy these rules to the highest extent should be the ones favored by the owner/PM. Each rule has assigned weight. The MATLAB software is used to establish the fuzzy IDST model.;The AHP model uses heuristic inputs to accomplish selection, which provides sufficient solutions. It is used for efficient selection on an appropriate contractor/work package, and can be used at any project phase. The AHP has the ability to transfer verbal judgments into numerical values. The verbal judgments are based on expert knowledge and experience. The AHP model is used to compare and validate the two other models.;This study has contributed to the area of construction management (interface management) by developing customized models that can help decision makers prioritize various alternatives to find the optimal solution. |
