Efficiency in Lasi & Idea glued glazing system maintenance
Huikko, Juhana (2017)
Huikko, Juhana
Haaga-Helia ammattikorkeakoulu
2017
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2017121421460
https://urn.fi/URN:NBN:fi:amk-2017121421460
Tiivistelmä
Lasi & Idea is a SME based in Vantaa, Finland. The company provides services for balcony glazing system maintenance. Glued glazing system maintenance is a service, which produces most of the firm’s revenue. Lasi & Idea is a beginner in its Lean journey. Before this research, the staff of Lasi & Idea have gathered twice for a Kaizen event. The seed of interest was planted into the management, with the author being one of the members of Lasi & Idea board.
The goal of this thesis is to provide in depth knowledge of Toyota Production System philosophy and to produce a value stream map from the glued glazing maintenance process. The value stream map is also the product (PO) of this thesis.
Thesis scope is in the glued glazing maintenance process. The process starts from removing the glasses and end after re-installing the maintained glasses. This thesis does not focus in the supply chain of Lasi & Idea, but does involve JIT purchasing in depth the author thinks it supports the process flow of glued glazing maintenance. Similarly, it does overlap into the project management of Lasi & Idea as Heijunka, a Lean levelling tool would affect the process stability in project environment.
The research method of this thesis is quantitative. The data was acquired by filming a maintenance process in Vantaa, Finland. From the clips, every activity second was categorized to seven wastes and to the appropriate process step. Qualitative observations were made as well and attached to the activity. Clips were captured in June 2017, while the thesis plan had been made spring 2017. The conclusions of the thesis were written in November 2017.
Quantitative data analysis points 4 major waste groups and reveals the unevenness of the process in terms of high takt time variance. The newly acquired data allows Lasi & Idea to implement suggested improvements, for example implementing JIT, 5S, Kanban tool. New process metrics are introduced as well. The suggestions provide valuable information to start building a sustainable flow efficient glued glazing system maintenance.
The conclusion reveal that the glued glazing maintenance is resource efficient. Designed to bring the work to the resource. The design is also built to handle large batches. This is opposite from Lean, as in Lean thinking the work for the customer should be brought as close to the origin and focus moving a single flow unit with a minimum waste. The result was 31.8% of value adding activity with a small 5 glass batch. There was no flow present. Small work in process inventories were created between all the process steps. By minimizing batch size and conducting a Value Stream map many hidden problems may become visible.
The goal of this thesis is to provide in depth knowledge of Toyota Production System philosophy and to produce a value stream map from the glued glazing maintenance process. The value stream map is also the product (PO) of this thesis.
Thesis scope is in the glued glazing maintenance process. The process starts from removing the glasses and end after re-installing the maintained glasses. This thesis does not focus in the supply chain of Lasi & Idea, but does involve JIT purchasing in depth the author thinks it supports the process flow of glued glazing maintenance. Similarly, it does overlap into the project management of Lasi & Idea as Heijunka, a Lean levelling tool would affect the process stability in project environment.
The research method of this thesis is quantitative. The data was acquired by filming a maintenance process in Vantaa, Finland. From the clips, every activity second was categorized to seven wastes and to the appropriate process step. Qualitative observations were made as well and attached to the activity. Clips were captured in June 2017, while the thesis plan had been made spring 2017. The conclusions of the thesis were written in November 2017.
Quantitative data analysis points 4 major waste groups and reveals the unevenness of the process in terms of high takt time variance. The newly acquired data allows Lasi & Idea to implement suggested improvements, for example implementing JIT, 5S, Kanban tool. New process metrics are introduced as well. The suggestions provide valuable information to start building a sustainable flow efficient glued glazing system maintenance.
The conclusion reveal that the glued glazing maintenance is resource efficient. Designed to bring the work to the resource. The design is also built to handle large batches. This is opposite from Lean, as in Lean thinking the work for the customer should be brought as close to the origin and focus moving a single flow unit with a minimum waste. The result was 31.8% of value adding activity with a small 5 glass batch. There was no flow present. Small work in process inventories were created between all the process steps. By minimizing batch size and conducting a Value Stream map many hidden problems may become visible.