Automated scheduling at MDS Coating Inc.

该提案涉及MDS涂层公司的智能调度，MDS涂层公司是设计和制造燃气涡轮发动机压缩机系统抗侵蚀和耐腐蚀涂层的领导者。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已经为全球客户提供了超过600万个压缩机翼型，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优势。该店有90多名员工，每天从客户那里接收不同数量的零件类型。每个产品都有必须遵循的工艺顺序，以及在将零件送回客户之前必须完成的质量保证测试。MDS涂层有合同交付保证，这取决于客户是否认为该部件是优先考虑的。目前，MDS有一个手动软件平台，可以根据客户的承诺调度作业。在这个项目中，将开发一个自动调度系统来提供一个优化的时间表。自动化系统也将有助于MDS涂层向客户承诺交货日期。这项提案有几项成果将使加拿大受益：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，在航空航天领域实施先进的优化技术，加拿大高科技雇主的竞争优势，加拿大劳动力的就业机会和工作满意度，通过良好的数据，优化模型和增强的数据分析驱动的知情生产调度。此外，本研究提出的优化模型将支持MDS扩展其业务和运营。随着现有设施的发展和新站点的上线，MDS的年业务量将增加一倍，MDS的员工将增加50多名HQP。

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.