- 60 PAYA LEBAR ROAD Central Region (Singapore) Singapore
工作地点
职位描述
岗位职责
Our client's industry partners still plan production in spreadsheets. We replace that with automated, finite-capacity scheduling tool.
You will turn real factory constraints into working code: machines, fixtures, labour shifts, multi-level BOMs, tank and material limits, and sequence-dependent changeovers. The result is schedules planners trust: shorter makespan, higher utilisation, and delivery dates the business can commit to.
Scheduling logic
Design and implement scheduling heuristics and optimisation rules in C#/.NET.
Model manufacturing constraints in code: shared tooling, labour skills and shifts, machine capability, material availability and changeover matrices.
Tune rules and solver parameters for speed and schedule quality on production-size data (hundreds of thousands of operations).
Integration and data
Build and maintain data pipelines between ERP, MES and the scheduling engine using REST/SOAP APIs and SQL Server.
Write high-performance stored procedures and queries, and diagnose integration and logic failures quickly.
Tools for planners
Build web tools in Angular for planners: interactive Gantt views, priority changes and what-if scenario comparison.
Deliver SSRS reports and dashboards for manufacturing KPIs such as on-time delivery, utilisation, setup hours and WIP.
Project delivery
Run requirement workshops with planners and shop-floor teams, and turn what you learn into rules and data models.
Demo progress regularly, support UAT and go-live, and train users.
4+ years building production software in C#/.NET, ideally in manufacturing.
Solid object-oriented design and modern design patterns.
Angular, or a similar framework, for business web applications.
Strong SQL Server skills: data modeling, stored procedures, query tuning.
Experience delivering enterprise systems involving scheduling, ERP MES and APS, from first logic to stable production use.
Clear communication with non-technical users; you can explain why the schedule made a decision.
Experience with any production scheduling or APS tool.
Experience with MES or ERP systems.
UEN: 202329526G
EA Licence: 23S2061
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