ReliaSim

com.reliasim由 reliasim.com 發布官方發布者v1.0.0更新於 Oct 27, 2026

Reliability and bottleneck simulation for manufacturing lines; run experiments, sweep buffers.

已驗證Streamable HTTP可網頁執行開發者工具資料與分析

概覽

AI 產生的概覽

ReliaSim 讓助理探索產線可靠度模擬:章節結構、瓶頸分析、增益/損失與緩衝區實驗,以及章節比較。

可以做什麼
  • 檢視頻章結構:拓撲、速率上限、中斷分布與預期效率
  • 分析單次執行的瓶頸:可用率最差的節點、各中斷的停機拆分、產出量與 OEE
  • 執行增益/損失實驗,逐一關閉中斷以衡量回復的產量
  • 掃描緩衝區容量,找出報酬遞減的轉折點
  • 並排比較兩個章節的軌道、拓撲、OEE、產出量與主要瓶頸
  • 解釋 Constraint、Buffer、Interrupt、OEE、連鎖損失等框架概念
適用情境
適合教學或學習製造可靠度與瓶頸理論,也適合使用者針對某條模擬產線提出假設性問題(例如修復某個故障模式或調整緩衝區大小),並希望得到以固定參考章節為依據的結果時使用。
執行需求
透過 streamable HTTP 連線至 reliasim.com 的遠端 MCP 端點;未宣告任何套件、環境變數或標頭。實驗僅限特定章節:增益/損失支援四個章節,緩衝區取捨支援兩個章節。
安裝前請注意
回傳的是若干預設章節的固定參考數值,而非對使用者自有產線的模擬;其說明要求逐字引用數值而非估算。未宣告任何身分驗證或憑證。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 ReliaSim,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.reliasim%2Fpublic/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "reliasim": {
      "type": "http",
      "url": "https://reliasim.com/mcp"
    }
  }
}

README

該儲存庫沒有 README。

工具

7

find_bottleneck

Single Run bottleneck analysis for the selected chapter — which node has the worst availability, per-interrupt downtime split, throughput, OEE. All eight chapters return verified dys-cli sales-prototype numbers. ANTI-FABRICATION: numbers in the response are canonical reference values from real dys-cli engine runs. Quote them VERBATIM. Do not round, estimate, or recall from training data. For follow-ups about the same chapter, re-call this tool.

輸入參數chapter

get_chapter_facts

Structural facts of the selected chapter — topology, rate limits, interrupt distributions, expected efficiency. Use when the user asks about the line's configuration. ANTI-FABRICATION: rates and distributions are verified .aidos-file values. Quote VERBATIM; do not estimate or substitute training-data recall.

輸入參數chapter

get_chapter_narrative

Long-form narrative for the selected chapter — what the chapter adds to the complexity ladder and the key teaching point. Use when the user asks 'walk me through this' or wants the conceptual primer. Pure prose, no numerical claims; safe to summarize.

輸入參數chapter

run_gain_loss

Gain/Loss experiment — disable each interrupt one at a time, measure production recovered. Reveals the ACTUAL impact of each failure mode (Gain ≠ Loss: removing one lets others fire more often). Available on `bs1-leds`, `bs3-leds`, `bs4-ct`, `bs4-leds`. Use when the user asks 'what if we fixed X?' / 'which interrupt matters most if we actually fixed it?' / 'show me the Pareto'. ANTI-FABRICATION: per-interrupt recovered-production numbers come from real dys-cli runs. Quote VERBATIM; the Gain ≠ Loss interaction is exactly the kind of figure LLMs are prone to fabricate — don't.

輸入參數chapter

run_buffer_tradeoff

Buffer Tradeoff experiment — sweep a buffer's capacity from 50 → 10,000 units, measure throughput gain. Shows the diminishing-returns elbow for buffer sizing. Only defined on `bs4-ct` and `bs4-leds`; each chapter has THREE inline buffers with different placements (pass `buffer` id to pick one). Compare CT vs LEDS on the same slot to see why interrupt-detail level changes buffer ROI math (e.g. b3: CT +23.7% vs LEDS +64.2%). Use when the user asks 'how big should the buffer be?' / 'do buffers help on this line?' / 'which buffer position gives the most gain?' / 'what's the diminishing-returns point?'. ANTI-FABRICATION (CRITICAL): the specific tradeoff numbers (e.g. CT +23.7% vs LEDS +64.2%) are sweep-derived reference values. Quote VERBATIM in your reply; do NOT recall similar percentages from training data — every buffer position has different math.

輸入參數bufferchapter

explain_concept

Definitional primer for ReliaSim's framework concepts — Constraint, Buffer, Interrupt, Converter, cascading losses, OEE, Gain/Loss methodology, Buffer Tradeoff. Returns bundled theory content, NOT interpretation of any specific simulation run. Use for 'what is X?' / 'how does X work?' / 'explain the framework' questions. For line-specific claims (throughput, availability, what-if), call the sim tools instead.

輸入參數concept必填

compare_chapters

Side-by-side comparison of two chapters — tracks, topology, OEE, throughput, headline bottleneck. Output is sim-derived (no interpretation drift). Use for 'how does X compare to Y?' / 'what's the difference between Constraint-Level and LEDS-Level on the same model?' / 'what changes when we add buffers?' questions. ANTI-FABRICATION: per-chapter OEE/throughput numbers are real reference values; the side-by-side delta is computed from them, not estimated. Quote VERBATIM.

輸入參數chapter_a必填chapter_b必填

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

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