Solution #1 – Enhancing employee engagement
We knew no change would stick without approval and acceptance from equipment operators and supervisors. Before restructuring the bleach application process, our client would need to show us exactly how their current process worked, what mattered most to turning out a superior product and how any necessary adjustments proposed would impact workers and productivity.
Through cross-functional collaboration, process mapping and exercises that identified aspects of wood fiber bleaching critical to quality, we observed exactly where our client’s struggles led to profligate bleach use. Furthermore, we and our client agreed to implement a new change log initiative across all its plants that documented disruptions in the bleaching process in detail, as well as regular review meetings following every shift to discuss immediate problems in a timely manner.
Armed with input from operators, shift managers and supervisors alike, we not only discovered the root cause of our client chemical woes but also united all parties around a common cause.
Solution #2 – Reducing variability through statistical process control (SPC)
Process variance wasn’t the only issue in need of rectification. Our client also had to sort our variance in the volume of bleaching additives.
Bleach machine operators measure and adjust the Kappa number of the pulp, or the amount of lignin within, to achieve the perfect color for paper production. Our client’s wood fiber bleaching process involved alternating chlorine dioxide and peroxide baths. But if, for instance, if an operator added too much chlorine dioxide at the first stage, he or she could create a domino effect of waste down the bleaching line.
First, we directed our client to improve wash cycles between bleach stages and instituted regular filter changes to ensure chemicals were fully drained from the stock before moving ahead in the process. Next, we added upper-level brightness controls that complemented the change logs. When a machine operator exceeded the prescribed threshold for additives, he or she had to input the amount added and a reason for doing so. Thus everyone was held accountable for variance.