CHIANGS LEAN APS Advanced Planning & Scheduling System

CHIANGS LEAN APS is built on lean thinking and executable scheduling: it helps manufacturers running high-mix low-volume production, frequent rush orders, and constrained capacity produce an executable plan quickly. Through visual scheduling, capacity-load views, and bottleneck analysis, production moves from "scheduling by experience" to "scheduling by data."

CHIANGS LEAN APS is built on 50+ years of consulting experience and 5,000+ client implementations. The most important difference is upstream of the software: our senior consultants first measure actual work times, standardize the rush-order approval flow, and define your key resource constraints — because an APS system runs on data, and if the base data is wrong, the scheduler is wrong no matter how good the software is.

Industries served: machinery parts | automotive parts | electronics assembly | fasteners | metal processing | rubber and plastics injection

Best fit: high-mix low-volume manufacturers | plants where rush-order insertion is the norm | companies still scheduling from a senior employee's experience

Common scheduling pain points in manufacturing

• Frequent rush orders — the plan can never keep up with changeThe schedule is just finished when sales inserts two more rush orders. Re-planning takes the production controller half a day, and by the time it's done the floor has already started on the old version. The insertion isn't the problem — the problem is that every insertion leaves you unsure which existing orders' delivery dates it affects.
• Opaque capacity — delivery dates are a guessSales asks "when can this ship?" and the controller can only answer from experience. How loaded the bottleneck equipment actually is, which orders are queued, how much slack remains — no single view shows it in real time. The risk of a delivery promise rests entirely on one person's memory.
• Changeover and mold-change cost is ignoredScheduling that looks only at process time, without counting the setup time for line changes, mold changes, and cleaning, produces a plan that is feasible on paper but late on the floor. An injection line that changes molds twice a day accumulates 40 extra non-production hours a month.
• Work-in-progress keeps piling upWhen the schedule is unbalanced — the front station runs too fast and the back station can't keep up — half-finished goods sit beside the line. Floor space, tied-up capital, and handling risk all rise, and throughput slows.
• Scheduling lives in someone's head — the logic leaves when they doA veteran controller knows which machine runs which product best and which orders can run in parallel. But those rules live in their head, never systematized. The moment that person is out, scheduling quality drops off a cliff.

LEAN APS core capabilities

• Finite Capacity SchedulingBuilt on the equipment's actual available time, accounting for process time, changeover time, labor allocation, and material status, to produce a schedule the floor can actually execute — not a theoretical infinite-capacity calculation, but a feasible plan grounded in real constraints. Presented on a Gantt chart, with drag-and-drop adjustments showing the impact in real time.
• Rapid rescheduling and What-if simulationRush-order insertion, equipment downtime, labor changes, delivery-date changes — when any one variable changes, the system reschedules and compares alternatives within minutes. "If we accept this rush order, which orders slip and by how much?" — the system answers directly, so the controller decides with data instead of betting on experience.
• Bottleneck and load analysisCapacity load for each machine and line is shown graphically, making the bottleneck obvious. Paired with real-time MES data, what you see is not the planned load but the real situation happening on the floor. Solve the bottleneck first — optimizing a non-bottleneck station does nothing for total output.
• Dispatching and shop-floor coordinationThe schedule result lands directly at the work-order and operation level, supporting dispatch sequence, priority, and kanban-style management. A floor operator opens a tablet and knows the next job, which machine to use, and the estimated completion — no more verbal relay, no more paper slips taped to a whiteboard.
• Delivery commitment and on-time management (OTD)Before sales accepts an order, the system evaluates a committable delivery date in real time (ATP/CTP), with no waiting for the controller to respond. After acceptance it tracks on-time rate, delay causes, and improvement direction — turning delivery commitment from "a feeling" into "backed by evidence."

How is CHIANGS LEAN APS different?

The most important difference for CHIANGS APS: if the base data isn't accurate, installing a scheduling system changes nothing. Most APS implementations fail not because of the software, but because standard times are off, bottleneck constraints were never defined, and the rush-order flow was never standardized. CHIANGS consultants guide work-time measurement, organize the rush-order approval flow, and define key resource constraints before implementation — laying the foundation first, then letting the system run.

How different industries use APS

• Machinery parts (low-volume, high-mix)High variety, low volume, frequent rush orders, fast BOM changes. Dynamic BOM management paired with APS handles the Engineering-BOM to Manufacturing-BOM conversion in-system, and ECN changes automatically flow into the schedule. The schedule result matches actual capacity — no longer a plan that's "three days off from the floor."
• Automotive partsStrict delivery dates and high traceability requirements. OEE downtime-classification data feeds back into APS, so scheduling accounts for equipment's real available time rather than theoretical capacity. On-time order fulfillment improved by 20%.
• Rubber and plastics injectionMold-change time is the key scheduling variable. APS sequences intelligently by product and mold demand, reducing unnecessary mold changes. Paired with mold Shot-Counts life management, scheduling also accounts for mold status, avoiding scheduling to a mold that needs maintenance. Capacity improved 20–25%.

Implementation benefits

Frequently asked questions

• How is LEAN APS different from ERP scheduling?ERP scheduling is mostly planning-layer rough-cut — it uses infinite capacity to calculate "when it should theoretically be done." LEAN APS does detailed scheduling with finite capacity, accounting for real equipment constraints, changeover time, and WIP status, to produce a plan the floor can actually meet — and it can reschedule quickly.
• We have a lot of rush orders — is APS really useful?The more rush orders, the more you need APS. The system reschedules and compares scenarios within minutes, so you decide with consistent rules rather than ad-hoc experience-based dispatching that causes cascading delays. "If we take this rush order, which orders slip?" — the system tells you directly.
• Can we pilot it on a small scope first?We recommend piloting on a bottleneck line or a key product family. Get the routing, work times, changeover rules, and feedback flow running smoothly first, then extend to the whole plant — lowering risk and seeing results faster.
• Can we implement LEAN APS without MES?Yes. Start by collecting progress through work-order reporting or a semi-automated method to establish a usable scheduling flow. Connect MES and IoT later, so the schedule's data foundation becomes more real-time and precise.

Related solutions

• MES (Manufacturing Execution System): real-time shop floor data that feeds the schedule
• Cloud ERP: orders, procurement, and inventory integrated end-to-end with scheduling
• OEE: equipment utilization and downtime data that grounds finite-capacity scheduling