{"id":891,"date":"2024-09-30T15:19:13","date_gmt":"2024-09-30T19:19:13","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/electronics-semiconductors\/?p=891"},"modified":"2026-03-26T14:41:15","modified_gmt":"2026-03-26T18:41:15","slug":"smarter-semiconductor-manufacturing-execution-part-2-of-3","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/electronics-semiconductors\/2024\/09\/30\/smarter-semiconductor-manufacturing-execution-part-2-of-3\/","title":{"rendered":"From Lean to Smart Semiconductor Manufacturing Execution (Part 2 of 3)"},"content":{"rendered":"\n

Traditional lean manufacturing brings benefits, but smart manufacturing can propel progress further to amplify profit margins and foster adaptability. In our first post, we talked about shifting left for smart manufacturing<\/a>. This next post in the series brings us to the execution phase. Executing is where we realize the gains we envisioned in the planning and scheduling phase. So, let\u2019s take a closer look at the key executional components.<\/p>\n\n\n\n

Smarter automation in semiconductor manufacturing<\/h2>\n\n\n\n

The key to realizing this gain is automation. There can be as many as 1,400 process steps in a semiconductor fab.1<\/sup> Automation, a key cornerstone of Industry 4.0, helps drive maximum utilization, efficiency and flexibility.2 <\/sup>Implementing automation in a fab can sometimes feel like a bottomless drain on resources and time. Like any digital project, it is important to ensure you have a clear vision for implementation \u2013 what do you want to achieve out-of-the-box (OOTB) and what does your roadmap look like? Again, managing change is important \u2013 semiconductor fab production sites are often modified and the equipment in those sites are constantly being added or deleted. It is imperative to have the right automated system that can provide this level of fab and equipment flexibility.<\/p>\n\n\n\n

Gaining increased quality and reliability<\/strong> <\/h2>\n\n\n\n

Diverse applications in industries like automotive, medical and aerospace and defense have driven an increased focus on quality and reliability. Because the safety of humans can potentially ride on the performance of a single chip, it is important that we know everything we can about that chip, from where it was made and what part of the wafer it originated from, to intermediate test results as it proceeded through the fab. The International Organization for Standardization (ISO) standards like 26262 \u2013 which governs functional safety \u2013 require traceability from requirements definition through verification and validation all the way to final test and qualification.3<\/sup><\/p>\n\n\n\n

Silicon photonics is a rapidly growing area with applications in high-performance computing, sensors and data centers. It leverages a lot of semiconductor manufacturing techniques and can benefit from the flexibility, automation, quality and reliability of semiconductor digital solutions.<\/p>\n\n\n\n

Better back-end semiconductor manufacturing integration<\/strong><\/h2>\n\n\n\n

It doesn\u2019t just stop with the fab. The lines are blurring between fab processing and backend packaging. Fabs are doing process steps like through silicon vias (TSV) and wafer level fanout. Semiconductor assembly and test services (SATs) are investing in some simple versions of wafer processing steps like etch and deposition and doing hybrid bonding \u2013 a face-to-face connection of wafers.<\/p>\n\n\n\n

Leveraging advanced analytics<\/strong> in smart manufacturing<\/h2>\n\n\n\n

Digital transformation has inspired a new phrase: Data is the new oil. But data is only valuable if you know how to extract knowledge and insights that help drive actions. Semiconductor fabs, particularly connected through industrial internet of things (IIoT) techniques, can generate massive amounts of data. The key is to figure out how to collect, store, process and ultimately analyze data to extract the descriptive \u2013 what happened, the prediction \u2013 what will happen and the prescription \u2013 what should I do?<\/p>\n\n\n\n

Orchestrating components for improved semiconductor manufacturing execution<\/h2>\n\n\n\n

How do you orchestrate these components to improve semiconductor manufacturing execution?<\/strong><\/strong><\/p>\n\n\n\n

Having access to the right integrated PLM (product lifecycle management) platform is a big key. And that happens to be the subject of our next week\u2019s post. Please stay tuned for more insights to come.<\/p>\n\n\n\n

Download our informative ebook \u201cSmart Manufacturing for Semiconductors<\/a>\u201d to learn more about how a fully connected smart factory, utilizing data-driven insights from operational performance can deliver significant opportunities for continuous improvement.<\/p>\n\n\n\n

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Download the ebook<\/a><\/div>\n<\/div>\n\n\n\n

Sources<\/strong><\/p>\n\n\n\n

1. \u201cChipmakers Are Ramping Up Production to Address Semiconductor Shortage. Here\u2019s Why that Takes Time,\u201d \u00a9 Semiconductor Industry Association, February 2021.<\/p>\n\n\n\n

2. Johnson, Clint; \u201cA guide to modern factory automation and Industry 4.0 in manufacturing,\u201d August 2020.<\/p>\n\n\n\n

3. Murphy, Bernard; \u201cTraceability and ISO 26262,\u201d November 2021.<\/p>\n\n\n\n

Blog written by Melville Bryant<\/strong>, Siemens Digital Industries Software<\/p>\n","protected":false},"excerpt":{"rendered":"

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