6. Manufacturing 3 - Module 06: Hitachi’s DFA Method

Hitachi’s DFA Method

Overview

  • Hitachi's Design for Assembly (DFA) method is specifically for manual assembly.
  • Lecturers: Dr. Arfauz A Rahman and Prof. Yan Jin.

Learning Outcomes

  • Understand the basic principles of Hitachi’s DFA method.
  • Learn through examples how to apply Hitachi’s DFA.

Background

  • Hitachi’s DFA method was developed in the late 1970s as part of Hitachi’s initiative to create products efficiently assembled by automation.
  • First developed in 1976 in Japan.
  • Also referred to as the “Assemblability Evaluation Method (AEM)”.
  • Based on a quantitative evaluation approach.
  • Fully described by Miyakawa and Ohashi (1986).

Assemblability in Hitachi’s DFA

  • Interpreted as “assembly producibility”.
  • Assemblability evaluation is built around the “assessment of assembly operations”.
  • The essential principle is “one part – one motion”.
  • For each part of the assembly, there should be only one straightforward and simple motion required to fit and secure it.
  • An assembly scoring system is used:
    • A simple straight motion scores with no losses.
    • A more complex motion scores with progressively greater losses.

Operation Element Symbols

  • Symbols represent the direction of motion of a part.
  • Symbols represent fixture and forming requirements.
  • Symbols represent joining and processing requirements.
  • Every assembly motion is assigned a “penalty point”.

Performance Indicators

  • Assemblability evaluation score (E):
    • Used to assess design quality, reflecting the difficulty of assembly operations.
    • Ranges from 0 to 100.
    • A relative measure of how producible a design will be in production.
      • E=0E = 0 (infinitely hard assembly).
      • E=30E = 30 (hard to assemble).
      • E=80E = 80 (easy to assemble).
      • E=100E = 100 (ideal assembly).
    • Higher EE is better.
  • Assembly cost ratio (K):
    • Used to estimate improvements in assembly costs after design changes.
    • For example, K=0.74K = 0.74 means the new design will cost 74% of the original to assemble.
    • Lower KK is better.
  • Assembly time (AT):
    • Measured in T-downs.
    • One T-down is the time taken for one downward movement with a part.
    • The T-down value is determined for a particular factory to reflect true assembly costs.
    • If the T-down value is unknown, it can be used as a relative measure.
  • Candidate for elimination (CFE):
    • Determines whether a part is a CFE based on:
      • Motion: Does the part's motion cause difficulty in assembly?
      • Material: Does the part need to be a different material from the rest?
      • Service: Does the part require maintenance?
    • If a part is a CFE, a value of “1” is assigned to it for use in the evaluation form.
  • Part count design efficiency (PCDE):
    • A measure of the design efficiency of the assembly.
    • Depends on the CFE, the quantity of parts (nn), and the sum of the quantity of parts (NN or Σn\Sigma n).
    • Target to achieve a value of “1” in redesign, indicating no CFEs.
  • Simplicity factor (SF):
    • An overall efficiency measure of assembly.
    • Depends on the assemblability evaluation score (EE) and PCDE.
    • If EE scores of the original and redesign are similar, use SFSF to judge assembly efficiency.

Relevant Equations

  • Assemblability evaluation score: E=N×100/ATE = N \times 100 / AT
  • Assembly cost ratio: K=AT/ATORIGINALK = AT / AT_{ORIGINAL}
  • Assembly time: AT=Σ[T(n)]100AT = \frac{\Sigma [T(n)]}{100}
  • Part count design efficiency: PCDE=M/NPCDE = M / N
    • Where M=NΣ[CFE×n]M = N - \Sigma [CFE \times n]
    • NN is the sum of the quantity of parts, Σn\Sigma n
    • ATAT is assembly time

Calculating T(n)T(n)

  • T(n)=T×nT(n) = T \times n
  • Where T=α(100+Σe)T = \alpha (100 + \Sigma e)
    • Σe\Sigma e is the total penalty due to assembly (refer to the penalty points of operation elements).
    • α\alpha is a corresponding factor value dependent on mm (number of operational elements).
Number of operational elements (mm)Alpha (α\alpha)
01
11
21.15
31.3
41.45
51.6
61.75
71.9
82.05
92.2
102.35
m > 100.85+0.15m0.85 + 0.15m
  • The "Alpha" equation: 0.85+0.15m0.85 + 0.15m is only applicable in redesign.

Procedure

  1. Preparations:
    • Prepare products to be evaluated, such as conceptual drawings, design drawings, assembly drawings, and samples.
    • Prepare the assemblability evaluation form (referred to as the “evaluation form”).
  2. Attaching Operation Analysis:
    • Enter the part names and the number of parts on the evaluation form and key in the data to the personal computer in the same order as the attaching sequence.
    • Determine the attaching sequence of the subassembly units.
    • Determine the parts-attaching procedures.
    • Enter the symbols for each part on the evaluation form and key in the data to the personal computer.
  3. Calculate Evaluation Indices:
    • Calculate EE, KK, and ATAT by the personal computer.
    • K value: Only able to calculate in redesign.
  4. Evaluation Index Judgement:
    • Compare KK to the target value (desirable to be below 0.7).
    • It is desirable that EE be over 80 points for easier assembly.
  5. Improve Design:
    • Prepare proposed improvements:
      • Find subassemblies and parts having relatively small EE values, then attempt to reduce the number of parts NN and simplify the attaching procedure.
      • A reduction in NN sometimes results in a small EE. In such cases, a reduction in NN is preferred to a smaller EE.
      • When the design is improved, gradual improvements in EE (20 to 30 points) are desirable.

Example 1 - Simple Structure

  • Spot facing: A finishing operation to produce a flat round surface, usually around a drilled hole, for proper seating of a bolt head or nut; done using a special Spot facing tool.
  • The example shows different structure designs (Structure 2, Structure 3) and their impact on assemblability evaluation score (EE) and assembly cost ratio (KK).
  • Improvements can be seen when the orientation of a part is maintained, or when press-fitting is used in place of screws.

Example 2 - House Supply Fuse Assembly

  • Fuse wire enclosed in an “evacuated glass tube with metal end caps”.
  • Original double cap design assembly sequence reduced from 20 to 11 in redesign 1, and 12 in redesign 2.
  • Illustrates the use of Hitachi's evaluation sheet for the original double cap design.
  • Shows how to calculate penalty points, TT, Σ[T(n)]\Sigma [T(n)], Σ[CFE×n]\Sigma [CFE \times n], MM, PCDE, ATAT, EE, and SFSF.
Result Interpretations
  • Original double cap design:
    • AT=20AT = 20
    • E=40E = 40
    • PCDE=0.5PCDE = 0.5
    • SF=20SF = 20
    • N=8N = 8
    • An EE score of 40 indicates a reasonably difficult assembly.
    • SFSF gives a more reliable impression of design efficiency as it includes the PCDE.
    • SFSF score of 20 indicates a poor design.
    • PCDEPCDE of 0.5 means only half of the parts are fundamentally important.
    • These scores indicate areas for improvement.
    • There are 4 candidates for elimination (CFE) – 2 end caps and 2 card discs.
    • The most difficult part to assemble is the fuse element (but it is a necessary part).
  • Single cap redesign 1:
    • AT=10.5AT = 10.5
    • E=38E = 38
    • PCDE=1PCDE = 1
    • SF=38SF = 38
    • N=4N = 4
    • K=0.53K = 0.53
  • Single cap redesign 2:
    • AT=9.7AT = 9.7
    • E=41E = 41
    • PCDE=1PCDE = 1
    • SF=41SF = 41
    • N=4N = 4
    • K=0.49K = 0.49
    • The main difference between redesign 1 and 2 accounts for the two ways the fuse element is soldered.
  • Both redesigns 1 and 2 have a reduced part count of 4, leading to a PCDE of 1.
  • EE scores of redesigns 1 and 2 are similar, so we look at SFSF.
  • Redesign 2 has the highest SFSF and smallest KK values, therefore is selected.
  • SFSF score of 41 indicates a much improved design.
  • K=0.49K = 0.49 means redesign 2 will cost 49% of the original design to assemble.

Contact Details

  • DR ARFAUZ A RAHMAN
  • Room 06.018, Ashby Building
  • Stranmillis Road Belfast
  • Northern Ireland BT9 5AH
  • Tel: +44 (0) 28 9097 5495
  • Email: arfauz.arahman@qub.ac.uk