How does the semiconductor supply chain integrate ESG, RBA and responsible minerals investigations?

Quick answer

The requirements for the semiconductor industry from international customers, investors, science parks, competent authorities and equipment and material suppliers are gradually moving from policy commitments to specific data, calculation basis and improvement records. In terms of supply chain responsibility management, companies must not only deliver results, but also explain data boundaries, methods, division of responsibilities and evidence. In the past, when the semiconductor industry dealt with supply chain responsibility management, each unit often collected information on plant energy, process gases, water use, production capacity, and output based on their own forms and understandings.

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Industry background and topic description

The requirements for the semiconductor industry from international customers, investors, science parks, competent authorities and equipment and material suppliers are gradually moving from policy commitments to specific data, calculation basis and improvement records. In terms of supply chain responsibility management, companies must not only deliver results, but also explain data boundaries, methods, division of responsibilities and evidence.

Common pain points in management

[Pain Point 1 | Questionnaires, evidence and scores are scattered]

In the past, when the semiconductor industry dealt with supply chain responsibility management, each unit usually collected factory energy, process gas, water, production capacity, product distribution and supplier information based on their own forms and understandings. When required by customers, regulatory authorities or inspections, a small number of personnel would then centrally compile the information. This method is prone to problems such as different scopes, misplaced units, inconsistent periods, and lack of supporting evidence. Supplier management should not only look at whether they respond to questionnaires, but also conduct risk classification based on procurement importance, location, industry risks, severity of deficiencies, and quality of supporting evidence. Without a common definition, even if the figures are completed, it will be difficult to explain the reasons for the changes, let alone determine whether the differences come from real improvements or changes in calculation caliber. When further inquiries come from international customers, investors, science parks, authorities and equipment and material suppliers, the team often has to reconfirm, increase communication and redo the work.

[Pain Point 2 | High-risk suppliers lack classification and improvement tracking]

The supply chain responsibility management of the semiconductor industry involves multiple departments and external partners, and each unit has different update frequency, audit authority, and delivery time. If it is still transmitted through emails, shared folders and multiple Excels, it is difficult for the person in charge to know in real time which data has not been responded to, what content has been modified, and whether the deficiencies have been corrected. Manpower will be spent for a long time on collection, copying and pasting, and comparing versions instead of analyzing the reasons. Once personnel change or face multiple demands at the same time, work quality may also decline significantly. It is usually easier to maintain data quality if this work can be completed during normal times, rather than waiting until declarations, verifications or customer reminders are required. The management system also needs to clearly define the responsible person, update frequency and exception handling methods to avoid re-exploring after personnel changes.

[Pain Point 3|The data is completed, but it cannot support management decisions]

Much of the semiconductor industry views supply chain responsibility management as a pre-delivery exercise for annual filings, customer questionnaires or verifications, and once completed the information remains in reports or personal files. Managers are unable to continuously compare differences across locations, products, periods, or partners, and it is difficult to identify areas that truly need improvement as a priority. In particular, the amount of data is large and highly specialized. Capacity fluctuations and process changes will affect baselines and allocations. Without consistent classification and comparison benchmarks, a single total can easily cover up efficiency declines or local anomalies. The result is that even though companies spend a lot of time getting the numbers, they still lack the information to use for budgeting, targeting, and resource allocation. It is usually easier to maintain data quality if this work can be completed during normal times, rather than waiting until declarations, verifications or customer reminders are required.

[Pain Point Four | External requirements are becoming more and more detailed, and evidence preparation cannot keep up]

International customers, investors, science parks, competent authorities and equipment and material suppliers are not only interested in whether companies propose policies, but will also further inquire about data boundaries, methods, responsible persons, supporting evidence and improvement records. If the supply chain responsibility management process does not retain coefficient versions, audit comments, modification reasons and attachment links, the organizer must reassemble the evidence in a short period of time. Although the formats used by different customers or auditing units are not exactly the same, the core data is often repeated. The lack of a shared data base will result in the same question being filled in repeatedly, and there may even be a risk of inconsistent external responses in different versions. It is usually easier to maintain data quality if this work can be completed during normal times, rather than waiting until declarations, verifications or customer reminders are required.

How to improve the management process and what benefits will it bring?

[Core Benefit 1|Improve supply chain transparency and put manpower in high-risk objects]

Originally, each unit used its own form to organize the data, and then the person in charge checked, merged and questioned each item one by one. The progress of the work was highly dependent on personal experience. After the supplier management and questionnaire system is introduced, and combined with RBA, responsible minerals, and EcoVadis, the questionnaire, evidence review, risk scoring, improvement deadline, and tracking process can be unified according to the actual process of the semiconductor industry, so that data can be logged in a common format when it is generated, and the source, period, coefficient, attachment, and modification record can be retained. Users can quickly identify gaps and anomalies without retrieving data from different files every time; managers can understand the completion status and reasons for differences. This can turn one-time delivery work into daily management, and existing records can also be used to respond to audits or customer requests. It is usually easier to maintain data quality if this work can be completed during normal times, rather than waiting until declarations, verifications or customer reminders are required.

[Core Benefit 2 | Reduce the burden of cross-department collaboration and version management]

Originally, supply chain responsibility management required repeated collections through emails, meetings and shared files, making it difficult for the person in charge to confirm the latest version and responsibility. After importing the supplier management and questionnaire system, you can set up the filling, return, replacement, review and approval processes, and manage permissions and deadlines based on roles. Consulting services can help companies clarify the processes, definitions and necessary evidence first, so as to avoid just moving confusing forms online. For those who fill in the form, the system can clearly display the work that needs to be completed and the gaps; for the coordinator, the progress can be viewed centrally without having to track each letter one by one. Cross-department collaboration is therefore more transparent, and existing records and rules can be used when personnel changes. It is usually easier to maintain data quality if this work can be completed during normal times, rather than waiting until declarations, verifications or customer reminders are required. The management system also needs to clearly define the responsible person, update frequency and exception handling methods to avoid re-exploring after personnel changes.

[Core Benefit Three | Detect abnormalities early and focus on high-risk projects]

The original team usually waits until the annual compilation or external audit to discover data anomalies, missing data or overdue improvements, leaving limited time for on-site corrections. Through the supplier management and questionnaire system, companies can set reasonable scopes, necessary fields, risk classifications and overdue reminders based on supply chain responsibility management, and link exceptions to responsible units and improve records. Users can receive prompts during the data entry stage to reduce redoing afterwards; managers can also deal with projects with greater impact or risk first from a large number of projects. This shift from post-remedial to proactive prevention helps reduce the risk of missing checks, customer returns, and operational interruptions. It is usually easier to maintain data quality if this work can be completed during normal times, rather than waiting until declarations, verifications or customer reminders are required. The management system also needs to clearly define the responsible person, update frequency and exception handling methods to avoid re-exploring after personnel changes.

[Core Benefit Four | Let data become the basis for improvement and resource allocation]

Originally, the results of supply chain responsibility management were mostly limited to annual figures or report chapters, and were not necessarily returned to the operating units after completion. It was difficult for managers to judge which base, process or partner resources should be invested in. After the supplier management and questionnaire system is introduced, and combined with RBA, responsible minerals, and EcoVadis, consistent classification, comparison benchmarks, and improvement tracking methods can be established, and factory energy, process gas, water use, production capacity, product allocation, and supplier information can be converted into comparable management information. Users can reduce duplicate spreadsheets and shift time to cause analysis; supervisors can prioritize based on risk, cost and improvement potential. After long-term accumulation of data, companies can not only respond to international customers, investors, science parks, authorities, and equipment and material suppliers, but also observe trends, check whether goals are effective, and provide a basis for budgets, procurement or investment plans for the next year.

Which enterprises or usage scenarios is it suitable for?

  • Semiconductor industry that needs to manage supply chain responsibility management but currently mainly uses Excel, Email or shared folders
  • Having multiple locations, factories, projects, products or suppliers requires unified data caliber
  • Frequently face information, verification or disclosure requests from international customers, investors, science parks, competent authorities and equipment and material suppliers
  • Hope to reduce the burden of manual compilation, version comparison and collection
  • There is a management system in place, but there is a lack of continuous tracking and cross-department collaboration tools
  • Enterprises preparing to introduce relevant standards, third-party verification or customer supply chain projects

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