Automated scheduling at MDS Coating Inc.
Automated scheduling at MDS Coating Inc.
批准号:
577670-2022
负责人:
Venkatadri, UdayU
金额:
$4.7万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
该提案涉及MDS Coating Inc.的智能调度,MDS Coating Inc.是为燃气轮机发动机压缩机系统设计和制造耐腐蚀涂层的领先者。它在航空航天行业拥有商业和国防客户,航空航天行业是加拿大经济和技术竞争力的关键行业。在过去的20年里,MDS已经向全球客户交付了600多万个压缩机翼型,这些客户实现了运营和维护成本的降低、燃料节约和发动机性能保留的好处。这家商店有90多名员工,每天都会从顾客那里收到不同数量的零件类型。每种产品都有必须遵循的工艺顺序,以及在将部件运回客户之前必须完成的质量保证测试。MDS涂层具有合同交货保证,这取决于客户是否将部件视为优先事项。目前,MDS有一个手动软件平台,可以根据客户承诺安排作业。在这个项目中,将开发一个自动调度系统,以提供优化的调度。该自动化系统还将有助于MDS涂层为其客户承诺交货日期。这项提议有几个成果将使加拿大受益:由高科技航空航天行业的私营公司提供更好的客户服务,在大学培训HQP,在航空航天部门实施先进的优化技术,为加拿大高科技雇主提供竞争优势,通过良好数据、优化模型和增强的数据分析驱动的知情生产计划,为加拿大劳动力提供就业机会和工作满意度。此外,为本研究提出的优化模型将支持MDS扩展其业务和运营。这些扩张将使MDS的年业务量翻一番,因为它既扩大了现有设施,又使新网站上线,从而使MDS的员工人数增加了50多人。
英文摘要
This proposal deals with Intelligent Scheduling at MDS Coating Inc., a leader in designing and manufacturing erosion and corrosion resistant coatings for gas turbine engine compressor systems. It has both commercial and defense clients in the aerospace industry, a critical sector for Canada's economic and technological competitiveness. Over the last 20 years, MDS has delivered over 6 million compressor airfoils to global customers who have realized decreased operational and maintenance costs, fuel savings, and engine performance retention benefits. The shop has over 90 employees and receives varying quantities of part types from its customers daily. Each product has a process sequence that must be followed, and quality assurance testing that must be completed prior to shipping parts back to the customer.MDS Coating has contractual delivery guarantees, which can vary depending on whether the part is considered priority by the customer. Currently, MDS has a manual software platform to schedule jobs based on customer promises. In this project, an automated scheduling system will be developed to provide an optimized schedule. The automated system will also be helpful for MDS Coating to promise delivery dates for its customers. There are several outcomes in this proposal that will benefit Canada: better customer service by a private sector company in the high tech aerospace industry, training of HQP at the university, implementation of advanced optimization techniques in the aerospace sector, competitive advantage for Canadian high-tech employers, employment opportunities and job satisfaction for the Canadian workforce through informed production scheduling driven by good data, optimization models, and enhanced data analytics. Furthermore, the optimization models proposed for this research will support MDS as they expand their business and operations. These expansions will see MDS's annual volumes double as it grows both existing facilities and brings new sites online resulting in more than 50 additional HQP on staff at MDS.
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