ローランド ディー.ジー. Roland DG Assemble 事業部 Official site

[Case Study] Morimar Composite Co., Ltd.

The time required to create client data per month will be reduced by approximately 100 hours. Making the recording, aggregation, and searching of tasks much easier.

We would like to introduce a case study of the implementation of "Roland DG Assemble" at Morimar Composite Co., Ltd., a proposal-based company specializing in the press molding and processing of fiber-reinforced plastics (FRP). The company felt limited by the use of paper and was looking for ways to simplify the recording, aggregation, and searching of work information. After the implementation, they were able to manage work performance through a dashboard, utilizing the performance data as materials for submission to clients. The most significant change was that the time spent creating data for client submissions was reduced to zero. [Case Overview] ■ Challenges - Struggled with recording, aggregating, searching, and storing work performance based on paper - Required significant time to create materials such as data for clients and production process charts ■ Effects - Work performance was digitized and automated, leading to a substantial reduction in manual input tasks - The use of the dashboard facilitated smoother communication with clients *For more details, please download the PDF or feel free to contact us.

Related Link - https://assemble.rolanddg.co.jp/voice/%e3%83%a2%e3…

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Are you blaming the workers for the mistakes?

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[Technical Document] The Style of Complimenting That I Have Been Conscious of as a Site Manager

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The on-site work support system 'Roland DG Assemble' born from over 20 years of manufacturing experience. Towards realizing a manufacturing site that is "friendly to people and strong in quality"! 【Five Features of Roland DG Assemble】 1. Digitalization of work procedures, allowing for instant sharing and modification of information. 2. Automatic recording of when, who, what, and how much work was done. 3. Automatic judgment of numerical values through integration with tools and measuring devices, aiding in error-proofing for workers. 4. Automatic data compilation of work results. Aggregation and visualization of data for on-site improvement. 5. Utilization of skill maps and proficiency graphs for worker training. 【Recommended for the following issues!】 ☑ Variability in work quality. ☑ Personalization and craftsmanship in on-site work. ☑ Complicated management of paper procedures and checklists. ☑ Frequent mistakes in on-site work, with little effect from warnings. ☑ Time-consuming transcription of work results into Excel. ☑ Errors in aggregating work results, leading to inaccurate data. ☑ Directly going to the site for progress management. ☑ Inability to objectively evaluate worker skills. ☑ Ad-hoc training. We provide total support for the "beginning," "middle," and "end" of on-site work.