Sabo SpA

How to manage production remotely through digitization | Case Study

Sabo SpA

How to manage production remotely through digitization | Case Study

Scenario

Sabo is a world leader in the development and production of specialty chemicals and ingredients used in a wide range of markets, including additives for plastics, cosmetic ingredients, and specialty chemicals for industrial applications.

Management has realized the importance of being prepared for the external turbulence of an uncertain and uncontrollable world of increasing complexity and global challenges that shake up the relevant contexts.

Therefore, he decided to implement a Lean&Digital transformation thanks to the support of Bonfiglioli Consulting and its innovative startup Digibelt, capable of providing a platform of applications designed for the manufacturing industry.

Areas of intervention

With a view to digitizing an already optimized process, the project focused first on the Lean Transformation part and then on the Digitization part.

In particular, four projects were activated:

Project 8Plus: With the aim of increasing the productivity of 8% through activities of:

  • Training programs Lean Six Sigma e Change Management
  • Process mapping and identification of bottlenecks
  • Implementation of dashboards
  • Flash Meeting activation for cause analysis and rapid activation of countermeasures

Autonomous Maintenance Project: with the goal of increasing the technical availability of the plants by reducing unscheduled downtime (due, for example, to extraordinary cleaning activities). Project activities were:

  • Selection of a pilot area and subsequent restoration of initial conditions
  • Standard drafting of cleaning, inspection and adjustment
  • Operator training program on Autonomous Maintenance techniques.
  • Implementation of Visual Management Approaches

Project Planning: with the aim of increasing the level of customer service and plant saturation through the following activities:

  • Definition of technology matrices, critical paths, production cycles, and production sequence optimization parameters
  • Implementation of new logics in terms of supporting tools, tasks and scheduling flow, assignment of criteria inventory management policies and definition. rules design and revision levels (ROP, SS, ...)
  • MES&Scheduling project: with the goal of moving from decentralized systems to a single platform that enables:
    • Foster collaboration between Planning and Sales in S&OP logic
    • Planning facilities at finite capacity, using a 2-week frozen horizon
    • Raising awareness Of operators in plant operation through real-time root cause analysis of major leaks
    • Eliminate paper documents

In addition, a platform was designed and developed that interconnects the ERP with the scheduler and the fleet in IoT (Internet of Things) logic through the software Collect&Analize. An MES interface was then created in the Control Room to view real-time information, and an interactive panel was created for the Flash Meeting with graphs of OEE, losses and productivity in interactive dashboards.

Results

  • Increased plant saturation and increased On Time Delivery to between 95%-98% due to optimized scheduling through Artificial Intelligence logic
  • Increase of thehorizon of production scheduling frozen 1-2 working days to 2 weeks
  • Strategic collaboration between the Planning Office and Sales in S&OP logic through structured process workflows
  • Batch traceability of production and overall efficiency increase Plant through real-time analysis of production data
  • Increased O.E.E of 10% Through training programs to operators
  • Paperless production management

Objectives achieved

98%

PLANT SATURATION

+10%

O.E.E.

+15%

GOOD AT FIRST SHOT