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Assembly planning and process optimization: optimizing assembly workflows with VR

Written by
Alexander Nowak
|
May 22, 2025

Summary

9:10 a.m. on the shopfloor. A worker is looking for screws, walks to the rack three times, and stretches over the fixture. The line stalls. Seconds turn into minutes, and minutes into costs.

9:10 a.m. on the shopfloor. A worker is looking for screws, walks to the rack three times, and stretches over the fixture. The line stalls. Seconds turn into minutes, and minutes into costs. This is exactly where a systematic look at assembly workflows comes in: you shorten routes and waiting times, stabilize cycles, and relieve employees ergonomically. With digital methods and VR, you decide faster, before expensive rebuilds are due.

With the right combination of data and a sense of space, process optimization becomes concrete. You steer by metrics such as takt time, cycle time, and the share of parts that are right the first time (first pass yield, FPY), spot losses directly where value is created (gemba), and check layouts in the walkable model. In Halocline, you build 3D layouts with no training required and without CAD data, check grasping areas, and record worker routes, together with the shopfloor, industrial engineering (IE), lean, and occupational safety (HSE). This lowers iteration and change costs while quality and output rise.

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How do you optimize workflows in assembly without detours?

Workflow optimization in assembly works when you make losses visible and align yourself with hard metrics. Typical losses are routes, searching, unfavorable grasping paths, changeover and waiting times, and overload and underload. Ergonomic strain such as overstretching or twisting under load lengthens handling, increases variation, and drags down quality. Every second in the cycle multiplies with the number of units.

The control variables are clear:

  • Takt time: the target value.
  • Cycle time per station: the actual value.
  • Balancing loss: how unevenly the work is distributed.
  • Walking time in the cycle.
  • FPY: the anchor for quality.

Three examples of the levers

U-cell: A U-cell with two workstations shortens the distance per cycle from 22 to 16 m. That's 27 percent less walking time and around 45 minutes less walking per shift at the same takt time.

Grasping area: The screws move from shoulder height into the primary grasping zone. Cycle time drops by 4 seconds, and FPY rises by 2 percentage points.

Line balancing: At a bottleneck station, two inspection grasps and the pre-positioning of material are moved to other stations. The bottleneck station gains 6 seconds, balancing loss drops by 15 percent, and output stabilizes.

To make decisions stick, you need transparency. A visible metrics board at the line links the target takt time, tolerated walking time, FPY target, and balancing ranges with measures and owners. Short daily reviews at the gemba, weekly reports per area, and a monthly management view set the rhythm. This turns observations into reliable improvements, from variant assembly to series flow.

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Which steps take you from the as-is picture to an improved line?

  1. Sketch the value stream: with material and information flow, buffers, and variant mix. Note disruptions, waiting times, and places where searching occurs. This creates a shared picture before you go into detail.
  2. Capture times: with MTM (Methods-Time Measurement), REFA, and video samples. Separate value-adding from non-value-adding shares and record times separately for each variant so that your calculation responds to batch sizes and mix.
  3. Find the bottleneck: via the longest cycle time and the queue in front of it. Check the load distribution and look for work content you can move or parallelize. Causes such as missing material, tool changes, or unfavorable routes belong on the table too.
  4. Develop variants: such as a U-cell with two-handed material flow, a straight line with an upstream supermarket, or a mixed solution with a takted main flow and a side station for variants. Disclose the assumptions so that the comparison stays fair.
  5. Calculate and check: Work through sensitivities such as changed takt times, disruptions, variant mix, and shift models, for example in your line balancing calculation or a material flow simulation. Check the results against shopfloor data and short pilots. If the measurements differ, refine the assumptions. Calculation and gemba belong together.
  6. Prepare a decision paper: Show the expected reduction in walking time, the improved balancing, the effects on FPY, and investment and rebuild effort. Name risks and countermeasures. This way, you make a decision that holds up in operation.

A one-week practical test makes the approach tangible: choose a station and a target, such as 20 percent less walking time per cycle. Model two layout variants, smooth the cycles, check the grasping areas, and decide based on a before-and-after comparison. This short sprint delivers learning without long lead times and shows whether a rollout is worthwhile.

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How does VR with Halocline speed up your assembly planning?

VR provides the sense of space that is missing between spreadsheets, value stream, and CAD. Halocline is the planning platform for production layouts and workstations. You drag workstations, racks, carts, and fixtures from the library into a 3D layout and adjust dimensions directly at 1:1 scale. You place material close to the inflow, mark walkways and safety routes, and create variants as copies. Because you start without CAD data, layout loops get much shorter.

Ergonomics becomes visible right away. Grasping area avatars show the optimal and maximum grasping area for the body height you set, according to DIN 33402-2 and DIN EN ISO 14738, and you check heights and lines of sight directly in the model. If you run through the workflow in VR and record it, the ergonomics analysis based on the key indicator method marks problematic object movements. Overstretching or unfavorable turning angles stand out before they cause costs. The recording also shows worker routes in the spaghetti diagram and provides routes and times per cycle. With the MTMmotion export, you transfer the recording directly into an MTM analysis, and you export the data as a tabular report. Often, simply moving material supply closer to the workstation shortens walking time noticeably.

Its strength shows in the comparison. You set variants side by side based on the metrics. During the walkthrough, one person walks through the layout in VR while the shopfloor, IE, lean, HSE, and management follow in spectator mode on screen and discuss it at the object. Collision points, inaccessible screws, or missing visibility of inspection points come to light early. The change cost curve flattens because you decide in the virtual replica and not at the real workstation.

Projects with Halocline show how much this delivers: at Siemens in Karlsruhe, workstation design became 4x faster. Together with item, Sanner tested and optimized assembly workstations for medical technology in VR before they were built, achieving up to 20% shorter process time.

For the decision paper, clear before-and-after images help: takt and cycle times per station, walking time per cycle, FPY, and balancing loss in comparison, complemented by spaghetti diagrams and screenshots from VR. A short summary with three core effects and the payback time makes approval easier and shows how process optimization moves into operation.

Want to check your assembly workflows in the model before you rebuild? Get started for free with Halocline Free and build your first workstation in 3D. For process analysis, the ergonomics check, and the MTMmotion export, get in touch and we'll show you the right scope.

Alexander Nowak

Alexander Nowak brings his many years of consulting and sales experience to Halocline and shows in his articles how 3D software takes production and factory planning to a new level.

Ein Mann mit VR Brille vor einem Monitor, auf dem dieLayoutplanungssoftware Halocline zu sehen ist.

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