The BARS (behaviorally anchored rating scale) is a scale that assesses performance based on well-defined behavioral patterns. These patterns are used to rate everyone being measured. BARS are easy to use, and have clearly defined behavioral indicators, which enables consistent evaluation across trainees. Trainers and supervisors can conduct the evaluation process and employees can easily understand and accept outcomes. A behaviorally anchored rating scale is an essential component of any training program. Each table group will have a LOTO scenario and a BAR to evaluate trainee performance.
With the looming potential SEC disclosure regulations, ESG data readiness is challenging and complicated and gaining more scrutiny. This panel will update the attendees on the current state-of-play and developments in ESG regulation over the last year. We will also discuss trends in assurance readiness, leveraging data systems, information challenges, and applying structured programs that “connect-the-dots” and drive improved performance.
Speakers: Terry Mors, Kyle Brzymialkiewicz, Alix Bromer, Aimee Ford
Building upon the understanding of the first ESG Panel, this panel will focus on the pragmatic implementation issues with preparing GHG Inventories, carbon intensity, product carbon footprints, and life cycle analysis. This will include drivers of the carbon intensity for certain feedstocks, processes, and products as well as for your supply chains.
Speakers: Lynn McGuire, Kenneth Wells, Allan Buikema, Bart Leininger
This reception will include table top exhibits featuring AFPM Associate Member companies. Each company will have a display on a current topic of interest to the industry. Mingle with your peers as you discuss these relevant topics with subject matter experts.
NSPS and MACT RTR updates continue to keep coming. This panel will discuss what we need to know about the most recent updates to NSPS Subpart K, the Gasoline Distribution MACT, and the Site Remediation MACT.
Speakers: Al Reich, Behdad Yazdani, Harold Laurence, Lindsay Giovannetti, Deever Bradley