{"id":14869,"date":"2026-06-03T13:00:35","date_gmt":"2026-06-03T11:00:35","guid":{"rendered":"https:\/\/optano.com\/?p=14869"},"modified":"2026-06-02T09:39:42","modified_gmt":"2026-06-02T07:39:42","slug":"insights-campaigns-and-sequencing-in-chemistry","status":"publish","type":"post","link":"https:\/\/optano.com\/en\/media\/insight\/2\/insights-kampagnen-und-sequenzplanung-in-der-chemie\/","title":{"rendered":"Insights: Campaign and sequence planning in chemistry"},"content":{"rendered":"
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Campaign and sequence planning in chemistry<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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When a production plan can really be implemented<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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A long campaign initially looks like a good decision. Fewer changes, less disruption, less effort. This is exactly how production plans should look at first glance: orderly, efficient and as stable as possible.
In the factory, however, this logic is overturned more quickly than many plans would suggest. A tank remains occupied longer than expected, a preliminary product arrives later, an important order slips forward. Suddenly, the decisive factor is no longer whether the plan looked sensible on paper, but whether it can be implemented at all under real conditions.
This is where the actual task of campaign and sequence planning begins. It not only answers what is to be produced, but also in what order, under what restrictions and with what consequences for service, inventory, capacity utilization and set-up costs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\u201eA good quantity plan is not yet a resilient production process.\u201c<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Why a production plan in the chemical industry is not yet a reliable process<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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A tactical production plan provides orientation. It distributes quantities over weeks or months and thus creates a sensible quantity structure. In the chemical industry, however, this is only the first level. The second level is crucial: which product family runs first, which batches follow, how are reactors, tanks and materials used, and where do new conflicts arise? A plan can be mathematically coherent and still fail in the plant, because the real difficulty lies not in the target quantity, but in the coupling of many simultaneously effective boundary conditions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\u201eIn chemistry, it's not just the line that counts, but also the interplay of tank, material and sequence.\u201c<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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A good sequence plan can fail because of a tank<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The complexity of chemical production rarely sits on just one line. Sequence effects, clean-out times, intermediate products, material availability, tank allocation, auxiliary resources and customer priorities are all intertwined at the same time. Those who only optimize the line often fail to see that the actual bottleneck occurs next to it.
A typical example is the seemingly ideal long campaign. It reduces the set-up time on the line. At the same time, however, it can tie up tank space for so long that intermediate products no longer flow cleanly or a prioritized order is served too late. Then the most efficient local sequence is no longer the best operational decision.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Conflicting goals are the real problem<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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This makes campaign and sequence planning a trade-off issue. High capacity utilization makes sense. Low set-up costs make sense. Stable stocks and reliable delivery capability are also sensible. It becomes more difficult when these goals cannot be achieved simultaneously.
Many planning teams experience this every day. A change that relieves pressure in one place creates new tensions elsewhere. If you bring a product family forward, you don't just change the sequence. It changes tank allocations, material flows, priorities and the stability of the entire plan. The challenge therefore lies not in a single decision, but in its consequences.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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How mathematical optimization in chemistry enables resilient processes<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Mathematical optimization starts at precisely this point. It not only asks which sequence is fundamentally attractive, but also which sequence is feasible and economically viable under real restrictions. Capacities, changeovers, clean-outs, tank limits, material dependencies, priorities and auxiliary resources are not checked retrospectively, but are evaluated as part of the same decision.
This changes the quality of the plan. A plausible sequence becomes a resilient alternative because not only its advantages but also its side effects become visible.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\u201eThe best campaign is not the longest, but the most stable under real restrictions.\u201c<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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It's not the longest campaign that counts, but the most robust one<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Let's take the long campaign again. In a simplified logic, there are many arguments in its favor: fewer changes, smoother process, lower direct set-up costs. However, as soon as tank commitment, intermediate products and short-term priorities are included, the same campaign can lose its advantage.
Then the question shifts. No longer: Which variant saves the most bills in isolation? But rather: Which variant keeps the operation most stable under the given conditions? It is precisely this reassessment that is the strength of mathematical optimization. It reveals when a seemingly efficient decision becomes too expensive elsewhere. This makes it possible to compare not only sequences, but also decisions on whether a campaign should be split, shortened or deliberately postponed.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Replanning goes from repair to clean reassessment\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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This is particularly important for last-minute changes. If material arrives late, a tank remains blocked for longer or a prioritized order has to be postponed, hectic individual corrections will not help. What is needed is a structured reassessment of the same restrictions under changed conditions.
This means that replanning loses its improvised character. It becomes a repeatable decision-making process. Not a gut feeling versus time pressure, but a reliable comparison of alternatives with clear consequences for service, inventory, capacity utilization and set-up costs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Further interesting content<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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