Short Interval Control (SIC) is a structured process for identifying and acting on opportunities to improve the effectiveness and efficiency of production. It is a factory-floor process that engages team members to review performance data three or four times within their shift to assess where they need to focus their efforts to improve performance.
A key feature of SIC is the use of real-time production data to guide instantaneous front-line decision-making. Teams are trained to collect, analyze, and react to this data to drive significant performance improvement from the factory floor. In our experience, manufacturing processes can make significant improvements inwhen effectively implementing SIC (e.g., a site with 60% OEE improving to 65% OEE in under three months and to 75% OEE within two years).
A successful implementation of SIC will have the following benefits:
The core principle behind Short Interval Control (SIC) is very simple: we cannot change the past; however, we can learn from it to improve the future. At a practical level, SIC is implemented as a series of short (five to ten minute), focused line-based reviews, carried out every two to four hours by front-line teams to review losses and to identify actions that will improve performance in the future.
An effective SIC process is all about repeated cycles of identifying and then implementing effective actions to improve performance. To achieve this goal, during each SIC review the team completes a series of four steps:
The actions decided upon during the SIC review are then carried out by the team to maximize production during their shift.
Key conditions for a successful Short Interval Control (SIC) process are:
Documenting the SIC review is essential to achieving a sustainable process. First, creating a written plan helps the teams to commit to their actions, especially if the documentation is displayed visually in the work area. Second, the document can be used to support shift handovers. Third, the documentation can be reviewed and audited for training and coaching opportunities.
Many teams first document their SIC reviews on paper forms, and gradually implement intranet-based tracking spreadsheets or database systems to record performance, losses, and the actions taken to resolve specific losses.
High-quality data is absolutely essential for an effective Short Interval Control (SIC) process, especially since the actions taken are directly triggered by the data. Best practices are:
When working with poor quality data the worst case scenario is that the team will spend their time reviewing the wrong losses, identifying the wrong actions, and potentially may make performance worse. Even in a best case scenario the team will spend an unnecessary amount of time processing, collating, and verifying data before getting into the value-added part of the SIC review – identifying actions.
Either manual or automated data collection can be used to drive the SIC process. Manual data collection is most effective in the early stages as it provides a first-hand connection between actions (by team members) and results (improved performance). On the other hand, there are numerous and compelling benefits to automated data collection:
Based on real-world experience across a broad spectrum of companies, manual systems significantly understate downtime (typically by 20% to 40%). With automatic run/down detection, downtime accuracy can approach 100%.
For most equipment, it is impossible to manually track small stops and slow cycles. This means that a great deal of potentially useful information about run-time behavior is simply lost.
With automated data collection, the operator spends less time on paperwork and more time focused directly on the equipment (less time collecting data and more time acting on it).
Automated data collection provides results in real-time, enabling faster response and better control over the improvement process.
The Short Interval Control (SIC) process is driven by SIC review meetings, which are quick, highly focused, and time-boxed (they are intense bursts of focused energy). The focus of these meetings is on one thing – developing a set of actions that will rapidly improve production.
Some best practices for SIC review meetings are:
It is critical that SIC meetings be extremely efficient to quickly get the team back to the factory floor. The four-part meeting agenda outlined in this section is designed to do exactly that.
|Meeting Part||Description and Objectives|
|Review Previous Losses|
Review data from the just-completed SIC interval:
|Assess Previous Actions|
Review actions from the last SIC meeting:
|Identify Next Risks|
Review the production plan for the next SIC interval:
|Decide Next Actions|
Decide on the specific set of actions that the team should complete during the next SIC interval:
An excellent way to gain a deeper understanding of SIC is to walk through an implementation example. This section provides a step-by-step roadmap for a simple and practical SIC implementation.
In this step, the target area for the pilot SIC program is selected. The ideal pilot area will have the following characteristics:
|Performance||Deficiencies in performance (the area has known opportunities for improvement)|
|Openness||Prospective team members who are open to new ideas, eager to improve, and work well together|
|Leader||A leader that will actively drive the process and focus the team|
|Infrastructure||Existing infrastructure for generating accurate real-time performance and loss data|
With the pilot area identified, work with the team to select a suitable SIC interval. When setting the SIC interval, consider the time needed to collect the relevant data. For most sites, a good starting interval is every four hours (beginning of shift and mid-shift correction), and a good long-term goal for intervals is every two hours (which provides more frequent course corrections).
Identify the core metrics that will be used to identify losses and drive the SIC process. For most companies, the de facto “gold standard” for manufacturing performance data is measuring with an additional breakdown of OEE loss categories into the and a detailed breakdown of OEE Availability losses into .
If equipment is not the most significant driver for improved manufacturing performance, identify an alternate loss metric to drive effective decision-making within the SIC process. For example:
|Labor||A process that is highly labor-orientated may use a labor per unit produced metric|
|Yield||A process that suffers from heavy yield losses may use a yield-by-zone or yield-by-area metric|
SIC teams use performance data to drive their actions so it is essential that this data is accurate. To verify that the data collection system is effective, independently verify performance data for a minimum of four SIC intervals, preferably across a range of shifts and products. Key data points to verify include:
|Total||Total Quantity Produced|
|Reject||Reject Quantity Produced|
|Downtime||Downtime Minutes and Reasons|
|OEE||(calculated from the above plus the Ideal Cycle Time)|
If the data being collected is not sufficiently accurate, look for root causes and take steps to correct the problem before going further. In some cases, it may be worthwhile to automate the data collection process to ensure better quality data for the SIC process.
Create a simple way of capturing data and actions during SIC review meetings. This can be a printed form, a spreadsheet, a whiteboard, a flip chart – anything that works for the team.
Before using the first version of the tracking tool with the team, ensure that each member of the team tests the document through several SIC intervals to ensure that it is easy to follow and easy to complete. It is normal to make changes to the tracking tool before settling on a layout that works best for the team.
In order for an SIC process to be effective the team needs to understand the intent as well as the mechanics of the SIC process. A recommended approach to implementing SIC from the perspective of the SIC champion (typically a middle or upper management person who has been trained and mentored on the SIC process) is as follows:
|Goals||Brief the team on the goals of the SIC process and how it can help the team get better results, and the role this has in the company becoming a stronger and better competitor.|
|Demonstrate||Personally demonstrate the SIC process to the team and lead the process for the first week. This creates a benchmark for what the process should look like for the entire team.|
|Observe||After the first week, have the line supervisor lead the process while you observe. Allow the line supervisor to run reviews completely free of any interruptions from you. After each review, provide constructive coaching tips in one-on-one sessions. Repeat this process until you are confident that the line supervisor is ready to operate without ongoing supervision.|
|Reviews||Schedule a series of weekly and then monthly drop-in reviews to provide further coaching and to seek feedback on how well the SIC process is operating.|
The secret to creating a sustainable process is regularly auditing the process to identify and reinforce great behavior. In order to create a sustainable process both middle management and upper management have an important role to play:
|Middle Management||Middle management should audit at least three or four review meetings every week – an investment of less than an hour per week to help guarantee the success of a program that will continually drive improvements in production performance.|
|Upper Management||Upper management should audit the SIC program one month after starting and then on an ongoing monthly or quarterly basis. The goal is to help ensure that the program remains effective. Review and fine-tune the SIC process, including what data is collected, how it’s recorded, and how actions are reviewed. Provide ongoing feedback and coaching to middle management.|