Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Development of a lessons learned management process model and a web-based tool for construction companies
Download
index.pdf
Date
2017
Author
Eken, Görkem
Metadata
Show full item record
Item Usage Stats
383
views
169
downloads
Cite This
Organizational memory formation and its effective utilization is a source of competitive advantage especially in project-based industries such as construction industry as it may eliminate potential problems in projects leading to higher profitability and less errors. However, project-based nature also poses challenges for establishing organizational memory as it is hard to capture knowledge of temporary project teams and transfer different types of knowledge between projects. This study presents a “Lessons Learned Management Process Model (LLMPM)” to capture experiences that may be acquired during project execution and disseminate this knowledge within the company to improve performance in future projects. A web based IT tool (LinCTool) that utilizes the proposed process model, has been developed in this study to capture, store and disseminate lessons learned. Expert review meetings with participants from both academy and the private sector have been carried out to develop LLMPM. Black-box testing method has been used to verify the LinCTool, and interviews have been conducted with four experts to test its usability. Results show that the proposed model and LinCTool have a potential to solve problems related with lessons capture and retrieval, and could be effectively used in medium to large size construction companies.
Subject Keywords
Construction industry.
,
Project management.
,
Organizational learning.
,
Project management
,
Construction industry
,
Project management
,
Construction industry
URI
http://etd.lib.metu.edu.tr/upload/12621257/index.pdf
https://hdl.handle.net/11511/26879
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
A Taxonomy for causes of changes in construction
Rahmani Mirshekarlou, Babak; Dikmen Toker, İrem; Birgönül, Mustafa Talat; Department of Civil Engineering (2012)
Change is an inevitable and inherent factor of each construction project which is a result of the nature of industry and the uniqueness of projects. Risky and unstable environment of construction industry usually triggers the potential of occurring changes during a project life cycle. Effective management of changes usually leads to increasing the project success. Change prediction and evaluation is the major step of change management process which enables the project management team to have a clear perspec...
Development of an IT-based tool for portfolio assessment and management for construction companies
Bilgin, Gözde; Dikmen Toker, İrem; Özorhon Orakçal, Beliz; Department of Civil Engineering (2019)
Development in the construction industry has leaded most of the construction companies to undertake more complex projects than before, which are generally executed concurrently. Therefore, project management routines of the companies may not support effective management of multi-projects. Project portfolio management approach has been suggested to meet requirements for coordinating multi-projects to meet strategic objectives under limited resources. Since project portfolio management requires a comprehensiv...
A Hybrid genetic algorithm for multi mode resource constrained scheduling problem for large size projects
Gürel, Mustafa; Sönmez, Rifat; Department of Civil Engineering (2015)
Just like in all industries, some of the available resources, in order to finish a project on time, are constrained in construction industry. To be able to finish the project on time has high importance both for the contractor and for the owner. Project scheduling in which resources are limited for a particular time are called as resource constrained project scheduling problems (RCPSP) and occupies a significant place in construction management. Especially for large scale projects, little success has been a...
Development of dispute prediction and resolution method selection models for construction disputes
Ayhan, Mura; Birgönül, Mustafa Talat; Department of Civil Engineering (2019)
Construction industry is overwhelmed by increasing number and severity of disputes proving that current practices are insufficient in avoidance. This research argues that in order to forestall and mitigate construction disputes, prediction models should be developed by utilizing machine learning algorithms. The research suggests developing three distinct models; (1) dispute occurrence prediction model, (2) potential compensation prediction model, and (3) resolution method selection model. For this reason, a...
Development of high performance heuristic and meta-heuristic methods for resource optimization of large scale construction projects
Abbasi Iranagh, Mahdi; Sönmez, Rifat; Department of Civil Engineering (2015)
Despite the importance of resource optimization in construction scheduling, very little success has been achieved in solving the resource leveling problem (RLP) and resource constrained discrete time-cost trade-off problem (RCDTCTP), especially for large-scale projects. The major objective of this thesis is to design and develop new heuristic and meta-heuristic methods to achieve fast and high quality solutions for the large-scale RLP and RCDTCTP. Two different methods are presented in this thesis for the R...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
G. Eken, “Development of a lessons learned management process model and a web-based tool for construction companies,” M.S. - Master of Science, Middle East Technical University, 2017.