Project Ramp-up: A Costs Minefield

How Wastage and Costs go up During Ramp-up

A manufacturing startup project involves:

  • Gathering relevant data and creating the project plan

  • Setting up the plant - acquiring premises and equipment, and all the other incidentals

  • Starting operations and ramping these up till scale and stability are achieved

The ramp-up involves trial and error and testing different options. It is a chaotic period with the potential for high levels of wastage - intentional or as part of the learning curve. Opportunities to inflate costs and hide mismanagement are plenty during this phase. 

Issues include:

  • Capitalizing operating costs to show early profitability or to hide inefficiencies. For example, regular operational costs might be disguised as R&D expenses

  • Deliberately underestimating ramp-up costs to get these approved, and then using unauthorised change orders to meet actual higher costs.

  • Awarding contracts to parties related to project executives, and fraudulent payments for ghost deliverables or through duplicate billing. Costs might also be increased by including unnecessary elements to favour specific vendors

  • Excessive wastage resulting from lack of operational training, inefficiencies and poor ramp-up management

  • Bogus costs through ghost employee payments or mis-classifying executive salaries, and inflated overtime payments

  • In a batch-process environment, management might run massive batches. These massive runs reduce per unit costs but result in large unsellable inventories, which might even have to be written off

Cellular Manufacturing Ramp-up is Particularly Vulnerable

Cellular manufacturing involves precise operations with all workstations in the cell completing their tasks in a synchronised manner. If a single machine or operator fails, the whole cell suffers.

The problem is aggravated by the need to cross-train operators for multiple roles. One worker might have to manage the whole cell during low-volume Takt time operations. 

Issues in such a context include:

  • An unbalanced production line leading to WIP inventories at downstream workstations and idle upstream stations

  • Learning curves for cross-training workers are often underestimated, and semi-trained workers might be too slow, or produce too many defects

  • Inefficient set up changes between different products lead to losing the cellular production benefits, and costly idle time

  • If the agile cell is coupled with "monuments" like a massive heat treatment oven located at a safe distance, batches of the cell products will need to be transported to and from these monuments. The resultant costs and delays could wipe out the cellular savings

  • With semi-trained workers, it is easy to miss the tight workflows. Resultant rushed work could lead to omitting quality checks, leading to high scrap rates.

Ramp-up Costs: Isolate, Don’t Club

Rule of Ramp-Up Costing: Ramp-up variances must never be buried inside standard plant overhead or operational variance accounts. They must be tracked in a dedicated 'Ramp-Up Cost Isolation Account' with defined expiration deadlines. When ramp-up costs are clubbed with standard operations, baseline operational inefficiencies are permanently masked, and ramp-up waste becomes normalized. 

Ramp-Up S-Curve vs. The Cost Abyss 

The Cost Abyss:

  • When time-to-volume is extended, fixed overhead (salaries, depreciation, utilities) accumulates exponentially while revenue stays near zero.

  • A 2-week delay in ramp-up can wipe out 50% of a project's Net Present Value (NPV), not just because of scrap, but because of the delayed cash conversion cycle.

If the ramp-up period gets prolonged, the entire project investment could be wiped out by the excessive wastage in different forms.

Case Study: An Auto Component U-Cell Ramp-up

The auto component factory decided to adopt the U-shaped manufacturing cell based on a report that advocated its advantages and promised a ten-minute product changeover time and flexible single-piece flow.

During the ramp-up several issues emerged:

  • Workstation #3 took double the estimated time to complete its work. This meant an unbalanced cell with WIP inventories at downstream stations and upstream stations remaining idle waiting for work. 

  • Tables were inserted inside the cell to store the accumulating WIP inventories. This led to inefficient movement of workers and materials

  • The semi-trained workers learning new skills, who also had to move around the newly inserted tables, became fatigued quickly. Instead of an efficient cell with smooth single-piece workflow, the new cell resembled a cluttered warehouse

  • Products had to be transported to a centralized cleaning oven located across the factory. This movement took 20 minutes every hour.

Results

  • Piles of inventory sitting between workstations inside the cell

  • High overtime costs to achieve the same daily output

  • Constant forklift and cart traffic around what was supposed to be a self-contained cell

Long Ramp-up Period

The ramp-up took six months instead of the estimated two weeks. The high scrap and labor costs wiped out the entire cost savings estimated in the project report.

Summary Table

Metric Project Proposal (Target)  Ramp-Up Reality (Actual) 

Changeover Time 10 Minutes Extended due to unorganized tools & WIP clutter

Ramp-Up Duration 2 Weeks 6 Months (300% overrun)

Transport Waste Self-contained flow 20 min/hour transit to central cleaning oven

Cell Floor Space Lean U-shape Cluttered with intermediate WIP storage tables

Financial Outcome Projected Cost Savings Entire ROI wiped out by scrap and overtime

Conclusion

The final stage of implementing a manufacturing project is starting production operations and ramping these up to scale and stability. The ramp-up phase is a chaotic one, open to high levels of wastage.

We look at the different types of wastage, which can occur in the course of learning or through deliberate intent. We look particularly at cellular manufacturing, which requires precise synchronization of operations.

We went through a case study where the high levels of scrap and labor costs wiped out the estimated savings of the new cellular setup.


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