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平成29年度 秋期 ITパスポート試験 問17

This question's explanation and your answers so far.

問17
頻出度★★☆

コンカレントエンジニアリングの説明として, 適切なものはどれか。

出典 平成29年度 秋期 ITパスポート試験 問17
解説

問 17

※ Our check while writing this explanation could not fully confirm the published answer; scoring follows IPA's official key.

  • Incorrectア

    Disassembling an existing product and clarifying its structure to acquire technology describes reverse engineering. It has nothing to do with parallelizing processes, so it is incorrect.

  • Incorrectイ

    Fundamentally reviewing work flows and methods to transform operations into a desirable form describes BPR (Business Process Reengineering). It is a reform of business processes, not the parallelization of development processes, so it is incorrect.

  • Incorrectウ

    Setting conditions appropriately to conduct experiments efficiently with as few trials as possible describes the design of experiments (DOE). It is a method for making experiments more efficient — a different concept from parallelizing development processes — so it is incorrect.

  • エ

    正解 Concurrent engineering is a method that shortens the overall period from development to production by carrying out a product's various processes — planning, design, production, and so on — as much in parallel (concurrently) as possible, rather than performing them one after another (sequentially). By advancing design and production preparation in parallel and sharing information early across departments, it aims to reduce rework and speed up the product's market launch (shorten the lead time). Choice エ states exactly this definition — carrying out each process in parallel to shorten the overall period — so it is the correct answer.

ここがポイント
  • Concurrent engineering = a method that advances processes such as planning, design, and production in parallel to shorten the overall development period (lead time).
  • Distinguishing confusingly similar terms: reverse engineering (disassemble to acquire technology), BPR (fundamental reform of business processes), and design of experiments (efficient experimentation with fewer trials).
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