Tim K.
09/26/2024, 5:42 PMCeligo AI
09/26/2024, 5:42 PMAI generated answer (using internal Slack threads):Based on the conversations, here are some suggestions to address your challenges: 1. Best Practice Recommendations: You can structure your sub-assemblies or BoMs in a way that each stage of the process is represented by a different item. For example, "Material A" can be an item, "Material B" can be a sub-assembly that includes "Material A" and additional components or processes, and "Material C" can be another sub-assembly that includes "Material B" and further components or processes. This way, you avoid circular references while maintaining accurate tracking of materials through each stage. 2. Sub-Assembly vs. Assembly Setup: It would be more efficient to manage this process using sub-assemblies for each stage. This allows you to track each stage separately and avoid circular references. As one user mentioned, you could use an item group or a kit item rather than an assembly, which would treat the components individually. 3. Volume Management: You can use custom searches to split the input into finished goods by assembly component. This can help you understand how your costs are being driven and manage inventory volumes. However, this would not change the accounting the system is doing. Remember, these are just suggestions based on the conversations and may not be the perfect solution for your specific situation. You may need to experiment with different setups to find what works best for you. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Celigo AI
09/26/2024, 5:43 PMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.825492084
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.815569043
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.814393818
Celigo AI
09/26/2024, 5:43 PM