« Back to News

Digitalizing Your Manufacturing Ecosystem

Making digitalization work for you requires understanding your manufacturing ecosystem. Standards, such as ISA-95, only guide you on a journey to more deeply comprehend the workings of your unique process for manufacturing your products.

A batch manufacturing ecosystem often includes campaign management. Campaign management is not mentioned in ISA-95 which only speaks generally of “order processing.” Campaign management is an example of applying the general concepts of ISA-95 to the specific needs of a batch manufacturing process.

Campaigns are groups of full and partial batches corresponding to the number of sellable units prescribed by the “order processing” function. Campaign management starts with determining, within maximum and minimum size constraints, the minimum number of batches to manufacture to satisfy the order. Digitalizing campaign management is often a quasi-custom effort, dependent on how orders are received from the Enterprise Resource Planning (ERP) package.

The next step is to schedule the required batches. Production scheduling, as it is called in ISA-95, is constrained by availability of required inputs, such as raw materials, minor ingredient kits, labor, energy, and, of course, equipment. Digitalizing batch scheduling can be complex, dependent on how many constraints are applied. However, efficient scheduling can add significantly to a process cell’s capacity. ECS helped a sauce manufacturer optimize scheduling to reduce cleaning time, adding almost 20% to the process cell capacity without additional equipment or labor cost.

When it is time to run a batch, the appropriate control recipe is created and delivered to the sequencing engine. The sequencing engine steps through the ordered recipe steps, commanding the control system to perform appropriate actions. As it works, the control system creates data, documenting what happens.

Quantities of both event-based and time-series data are valuable benefits of digitalizing your ecosystem. Data is used for many purposes such as quality control, meeting regulatory requirements, supporting raw and finished goods inventory management and driving process improvements.

The constraints of a blog article allow only a cursory overview of a typical batch manufacturing ecosystem. Standards are generalizations. Every ecosystem is uniquely complex. Comprehending your ecosystem is the first step to realizing the benefits of digitalization. Let’s go!

*This blog was written for and is published on AutomationWorld.com– check it out on their site!

Posted In: Blogs, News