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設備保全の求人1,170件応募資格・募集要項・仕事内容を見る
HVM EQUIP DF EQ
- 給与
- 記載なし
- 勤務地
- 記載なし
- 休日
- 記載なし
- 雇用形態
- 記載なし
どんな仕事かAIによる生成
Apply specialized technical knowledge to resolve non-routine and complex equipment issues, implement preventive measures, and drive equipment and area improvements. Use AI-enabled tools, analytics, and digital technologies to improve equipment performance, maintenance strategies, and manufacturing efficiency.
この求人に応募
募集要項最終確認 10/21
- 職種
- 設備保全
- 雇用形態
- 記載なし
- 役職
- Lead or train other team members within the team.
- 給与
- 記載なし
- 勤務地
- 記載なし
- 働き方
- 記載なし
- 掲載日
- 2026/10/12 05:17（10日前）
- 最終確認
- 2026/10/21 22:16（1日前）
仕事内容
募集内容
- Make judgments and solve problems in non-routine situations by applying learned technical concepts with guidance. Resolve complex issues that require critical decision-making and initiative. Apply specialized technical knowledge to solve problems and implement preventive measures. Provide guidance and instruction to technicians on advanced issues and challenges. Plan and execute improvements related to preventive maintenance and other non-routine tasks. Lead or train other team members within the team. Make decisions across a wide range of responsibilities. Exercise judgment within a defined scope that may impact the quality of assigned work. Develop a strong understanding of systems, identify issues, collaborate with Day Engineering, propose improvement actions, and drive resolution. Contribute to area improvements through proactive proposals based on TPM activities. Propose and implement 6S3R improvements related to workplace environment for equipment installation, modification, relocation, and removal, contributing to improvements within a defined area. Actively use OPL (One Point Lesson) and CIP (Continuous Improvement Process) to share team knowledge and enhance area capability. Analyze data based on area IPO/KPI metrics and implement and deploy CAPA (Corrective and Preventive Actions).
募集内容
- Leverage AI-enabled tools, advanced analytics, and digital technologies to improve equipment performance, accelerate problem solving, and drive operational excellence. Utilize AI-assisted insights and data-driven methodologies to identify improvement opportunities, optimize maintenance strategies, and enhance manufacturing efficiency.
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