{"id":6415,"date":"2026-02-09T03:52:33","date_gmt":"2026-02-09T08:52:33","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/opcenter\/?p=6415"},"modified":"2026-03-26T05:11:25","modified_gmt":"2026-03-26T09:11:25","slug":"partner-of-the-month-mcp-algorithm-factory-elevating-production-planning-with-opcenter-aps","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/opcenter\/partner-of-the-month-mcp-algorithm-factory-elevating-production-planning-with-opcenter-aps\/","title":{"rendered":"Partner of the month: MCP Algorithm Factory \u2013 Elevating production planning with Opcenter APS"},"content":{"rendered":"\n
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This edition of the APS \u201cPartner of the Month\u201d series highlights MCP Algorithm Factory<\/a><\/strong>. From its beginnings as an industrial consultancy to becoming a dedicated Opcenter APS<\/a> implementation partner, MCP has built one of the largest and most experienced Opcenter APS teams in Europe, with a strong focus on complex production planning and optimization.<\/p>\n\n\n\n

For this feature, Daniel Walkiewicz shares how MCP works with Siemens Opcenter APS, the value of its \u201ccomponent set solution,\u201d and how artificial intelligence and energy-aware planning are shaping the future of manufacturing scheduling<\/p>\n<\/div>\n\n\n\n

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\"Daniel
Daniel Walkiewicz
MCP Algorithm Factory <\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

1. Could you tell us about your company and your experience working with Opcenter APS?<\/strong><\/h2>\n\n\n\n

Daniel:<\/strong> MCP started as a consultancy for the industry, but in 2010 we had the opportunity to implement the first Preactor solution for Siemens at its transformer factory in Weiz, Austria. The experience with this project was very positive and became a turning point for us.<\/p>\n\n\n\n

On the basis of that success, we decided to become an implementation partner for Preactor ourselves. Since then, our company has dedicated itself entirely to the field of production planning. Today, our Opcenter APS team is one of the largest and most experienced in Europe, working exclusively on helping manufacturers improve their planning and scheduling processes with Opcenter APS.<\/p>\n\n\n\n

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2. What’s your approach to implementing Opcenter APS for clients, and what makes it unique?<\/h2>\n\n\n\n

Daniel:<\/strong> In our projects, we always follow a holistic approach<\/strong> that encompasses consulting, implementation, and after-go-live support.<\/p>\n\n\n\n

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Introducing detailed production scheduling usually requires changes in both\u00a0data quality<\/strong>\u00a0and\u00a0business processes<\/strong>\u00a0in order to genuinely improve a company\u2019s competitiveness. We actively support our customers through this transformation, not only from a technical perspective but also in terms of organization and workflows.<\/p>\n<\/div>

\"Guy<\/figure><\/div>\n\n\n\n

A key objective in every project is to implement a standard solution wherever possible<\/strong>, especially for larger clients who want to equip several sites with Opcenter APS. To support this, we have developed an extensive library of enhancements<\/strong> over the years and integrated them into Opcenter APS.<\/p>\n\n\n\n

This is what we call our \u201ccomponent set solution\u201d<\/strong>. It is designed to cover many common requirements that are not yet included in Opcenter APS, in both discrete manufacturing and, above all, in process industries. As a result, we are able to deliver highly complex solutions with comparatively little effort.<\/p>\n\n\n\n

Opcenter APS is ideally suited for such custom developments, and this is another strong reason why we chose \u2013 and continue \u2013 to be a partner.<\/p>\n\n\n\n

3. Can you share a specific customer success story where Opcenter APS solved a significant challenge?<\/h2>\n\n\n\n

Daniel:<\/strong> One of our most complex projects was for a company in the food industry<\/strong>, where we faced two major challenges.<\/p>\n\n\n\n

The first challenge involved highly intricate requirements for Opcenter SC<\/strong>, such as managing silos and tanks with varying volumes and restrictions. These constraints applied before, during, and after the production process and frequently led to bottlenecks. On top of that, strict contamination rules had to be observed throughout production.<\/p>\n\n\n\n

The second major challenge was a complete shift in process thinking<\/strong> \u2013 not only within the company itself but also among many of its customers. Previously, processes relied heavily on ad hoc solutions and substantial manual effort. To enable Opcenter SC to plan effectively, it was necessary to lay a solid structural and data foundation.<\/p>\n\n\n\n

We successfully rolled out the solution at multiple sites, supported by the integration of our AI solution for the food industry<\/strong> with Opcenter SC. The benefits quickly became clear:<\/p>\n\n\n\n