Automated scheduling at MDS Coating Inc.

MDS Coating Inc. 的自动调度

• 批准号: 577670-2022
• 负责人: Venkatadri, UdayU
• 金额: $ 4.7万
• 依托单位: Dalhousie University
• 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
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=757211
• 关键词: Automated; scheduling; MDS; Coating; Inc.

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.

本提案涉及MDS涂料公司的智能调度，在设计和制造燃气涡轮机压缩机系统的抗侵蚀和腐蚀涂层方面处于领先地位。它在航空航天工业中拥有商业和国防客户，这是加拿大经济和技术竞争力的关键部门。在过去的20年里，MDS已向全球客户交付了超过600万种压气机翼型，这些客户实现了降低运营和维护成本、节省燃料和保持发动机性能的好处。该商店拥有90多名员工，每天从客户那里收到不同数量的零件类型。每种产品都有一个必须遵循的工艺顺序，以及必须在将零件运回客户之前完成的质量保证测试。MDS Coating有合同交货保证，这取决于客户是否优先考虑零件。目前，MDS有一个手动软件平台，可以根据客户的承诺安排作业。在本项目中，将开发一个自动调度系统，以提供优化的时间表。自动化系统也将有助于MDS Coating向客户承诺交货日期。该提案的几项成果将使加拿大受益：在高科技航空航天工业中，一家私营公司提供更好的客户服务，在大学中培训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，通过良好数据驱动的知情生产调度为加拿大劳动力提供就业机会和工作满意度，优化模型和增强的数据分析。此外，为这项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的年产量翻一番，因为它既增加了现有的设施，又带来了新的网站上线，导致MDS员工中增加了50多名HQP。