Enhancing Input Data Management for Structural Engineering in Multidiscipline Projects
Alevtina, Kulianu (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024051311361
https://urn.fi/URN:NBN:fi:amk-2024051311361
Tiivistelmä
Large-scale industrial projects, which involve collaboration among various engineering disciplines, often face challenges with information flow. The current process of managing input data in the Civil and Structural Design department is at times ineffective. Therefore, the objective of this study is to develop guidelines on how to improve input data management.
The study is divided into four stages, each meant to address a specific business challenge. The first stage of the study aims to identify the strengths and weaknesses of the current process by conducting interviews and workshops. The key weaknesses have been organized into categories such as knowledge sharing, diverse practices, project scoping, and procurement challenges. The second stage involves conducting a literature review to gain insights on how to improve the key weaknesses of the current input data management process. The literature review was summarised as a conceptual framework, which was used as the base to build the initial proposal at the third stage. During the third stage, feedback was gathered through interviews and workshops, and an initial proposal for guidelines was developed. Finally, the fourth stage of this study is the validation phase, which includes a final round of interviews and workshops to make final adjustments to the proposed guidelines.
The outcome of this study is the proposed guidelines on how to improve input data management are based on the summary of the proposals. The guidelines include the tasks, responsible roles, and comments and tips for achieving them.
The study is divided into four stages, each meant to address a specific business challenge. The first stage of the study aims to identify the strengths and weaknesses of the current process by conducting interviews and workshops. The key weaknesses have been organized into categories such as knowledge sharing, diverse practices, project scoping, and procurement challenges. The second stage involves conducting a literature review to gain insights on how to improve the key weaknesses of the current input data management process. The literature review was summarised as a conceptual framework, which was used as the base to build the initial proposal at the third stage. During the third stage, feedback was gathered through interviews and workshops, and an initial proposal for guidelines was developed. Finally, the fourth stage of this study is the validation phase, which includes a final round of interviews and workshops to make final adjustments to the proposed guidelines.
The outcome of this study is the proposed guidelines on how to improve input data management are based on the summary of the proposals. The guidelines include the tasks, responsible roles, and comments and tips for achieving them.