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Proven                                          is given a meaning that relates to the overall quality of the device. To put








                                                           it another way, it’s the ability to review the effect the sum of variation has

                                                           practiced in the industry.
           Used in 5 Billion SiP Packages                  on the performance and reliability of a part. This approach is not currently
                                                           Cost of implementation and training
                                                            The rate that semiconductor fabs accommodate new automation
                in the past 5 years                        solutions poses a barrier to being able to quickly change the quality
                                                           capabilities of the fab. Most automation systems today are still
                                                           fundamentally built around the same paradigm seen over the last 20
                                                           years—charts driven by Western Electric rules and out-of-control action
                                                           plans (OCAPs) that are based around the errant chart. By the time the
                                                           industry accessed streamlined automation solutions, legacy manufacturing
                                                           facilities had long since amortized their building costs and depreciation
                                                           regimes, running the business with just the operational essentials. This
                                                           situation left minimal resources for new development because the revenue
                                                           capacity of these facilities does not easily support the required investment
                                                           to resolve any singular problem.
                                                            Holistic automation solutions address systemic problems rather than
                                                           single gaps. Half a million dollars can easily represent half a percent in
                                                           profits depending on the facility, which is a significant erosion to margins.
                                                           Furthermore, the return on investment is either too small to justify the
                                                           risk or takes too long to achieve. Point solutions can easily range from
                                                           $150K to $750K, which is a difficult barrier to breach. Understanding
                                                           the requirements and the intricacies of the domain and the information
                                                           technology (IT) infrastructure required to support it takes a substantial
                                                           investment. There is a significant cost to define and test disruptive systems
                                                           that can replace the multitude of current automation practices. Unless a
                                                           solution can provide a systemic resolution to quality – meaning resolve
                                                           several high-value targets – these facilities will not be able to invest. These
                                                           paradigms need to straddle the entire supply chain.
                                                            Most personnel in these facilities are not focused on developing
                                                           new automation solutions, but rather on manufacturing reliable parts
                                                           cost effectively. So, accessing the technology to build a holistic and
                                                           streamlined quality system is not a realistic expectation for these facilities.
                                                           It would require a financial and manufacturing mindset change. A strong
                                                           holistic quality program requires both automation and learning systems
           From water-soluble to no-clean processes,       for those responsible for operating it. While numerous opportunities
                                                           exist to automate tasks and decisions that historically were manual, the
           Indium Corporation’s wide portfolio of          expectation will remain high on understanding the meaning of signals
           solders are PROVEN to solve various             and quality metrics.
           industry challenges.                            Moving to zero defects
                                                            There is certainly a hierarchy of automation need in legacy facilities.
                                                           Automated data acquisition is a good starting point, followed by a
           Learn more:                                     centralized alarm management system to connect signals and prevent
           www.indium.com/SiP/CSR                          moving materials into process tools that should not run product.
                                                           A significant need also exists to reduce human error as part of the
           askus@indium.com                                processing. Recipe management systems play a key role as does
                                                           centralized configuration management. After the automation layer is
                                                           in place, the ability to expand the capabilities increases. For instance,
                                                           once the statistical process control (SPC) practices of the fab access
                                                           the raw data of a wafer measurement, the engineering community can
                                                           make use of it to isolate within-wafer variation problems. Qualifying
                                                           new products is time consuming and preparing for production can
                                                           be slow and prone to missing opportunities to define needed tests.
                                                           The more understood the variation sources of a facility, the more
                                                           opportunity to quickly qualify new products. This knowledge will
                                                           directly impact the gap of test coverage that allows 30% of field
                                                           failures to persist.


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