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Equipment Design Integrated Component Selection tool (EDICS)

Equipment Design Integrated Component Selection tool (EDICS). Jim Benfante Ray Seeger December 9, 2003. Problem: Design of complex piece electronic equipment. Proposal design – Base-Of-Estimate (BOE) Actual design – Bill-Of-Material (BOM) Cost estimating – Rough-Order-of-Magnitude (ROM)

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Equipment Design Integrated Component Selection tool (EDICS)

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  1. Equipment Design Integrated Component Selection tool(EDICS) Jim Benfante Ray Seeger December 9, 2003

  2. Problem: Design of complex piece electronic equipment • Proposal design – Base-Of-Estimate (BOE) • Actual design – Bill-Of-Material (BOM) • Cost estimating – Rough-Order-of-Magnitude (ROM) • Conceptual design • Short time frame • Number of components • Electronic module descriptions

  3. Solution: Provide automated design tool using AI applications and methodologies • Provides quick matching of user requirements to available components to satisfy the design requirements. • Outputs an electronic file capable of being inserted in existing report formats.

  4. Design Criteria: Component descriptions • Module • Monitor • Cabling • Fixture • Chassis • Cabinet • Power • Computer-PC

  5. Semantic Representation

  6. Semantic Representation (Digital)

  7. Agent Architecture: Administrator Inference Engine Data Base User Interface Preliminary Clarification & Determination Output Selection

  8. Knowledge Base Development • Sources of knowledge • Designer • Expert • Current designs

  9. Data Base Development • Sources of data • Vender information • Data sheet • Catalogs • Lead time • Cost • Information standards • Approved Vendor List (AVL)

  10. Rules (Input Description Rules) • (rule (value {if {linesInDigital > 0} • {then {set Ports1 += linesInDigital / 8}}} • {if {linesOutDigital > 0} • {then {set Ports1 += linesOutDigital / 8}}} • {if {linesBusDigitalIO > 0} • {then {set Ports1 += linesBusDigitalIO / 8}}} • {if {linesIsolatedDigital > 0} • {then {set isolatedIO1 = linesIsolatedDigital}}})) * * * * )

  11. Working User Input Screen (Input Description rules)

  12. Rules (Digital Module Rules – Comparing User input to Inventory) • (rule (value {if { {usersInput_1 parameter handshaking} = {this parameter handshaking} • {and {this parameter possibility} not{"false"} } } • {then {set {this parameter possibility} "true"}} • {else {set {this parameter possibility} "false"}} } } • {if { {usersInput_1 parameter messaging} = {this parameter messaging} • {and {this parameter possibility} not{"false"} } } • {then {set {this parameter possibility} "true"}} • {else {set {this parameter possibility} "false"}} } } • * • * • * • * ) • )

  13. Working User Input Screen (Digital Module rules)

  14. Working User Input Screen

  15. Working User Input Screen (D1001)

  16. Working User Input Screen (User Input)

  17. Working User Input Screen (User Input after rules)

  18. Working User Input Screen (D1001 after rules)

  19. Final Rule (Making Module Selection) • A) Using MATHRULE1 • compare (req for Ports) to (inv avail ports) • using PORTS1 - ISO1 • (where PORTS1 = DigitalIN + DigitalOUT + DigitalIO) • (where ISO1 = users linesIsolatedDigital) • users req PORTS1, compared to the inventory parameter - portsIO. • users req ISO1, compared to the inventory parameter - linesIsolatedDigital. • *************************************************************************************** • From NARL send the above parameters to a JAVA proc • PORTS1 / portsIO = p1 #.### • Possable answer a1: • a1 = p1(round up to nearest integer) • a1 is the number of boards of this type needed for solution. • (The inv board with the Min a1 would be the selection.) • (p1 exp. 9/4 = 2.25, 9/8 = 1.125, 9/16 = 0.5625) • (a1 exp. 9/4 = 3, 9/8 = 2, 9/16 = 1 <-) • #3? #2? #1 choice? • (The selection will be made by COST or LEADTIME)

  20. Final Rule (Making Module Selection) • Possable answer a2: • PORTS1 / portsIO = p1 #.### • a2 = p1(do NOT round up to nearest integer. Use Modulus function) • a1 is the number of boards of this type needed for solution, plus • (The inv board with the Min a1 would be the selection.) • (p1 exp. 20/4 = 5, 20/8 = 2.5, 20/16 = 1.25) • (a2 exp. 20/4 = 5, 20/8 = 2, 20/16 = 1 <--) • (From the remainer, nL2 exp. 20/4 = 0, 20/8 = 4, 20/16 = 4) • | • (with a remainder of 0 no added boards are needed))

  21. Final Rule (Making Module Selection) • Calculate to satisfy the remainder: • a2r exp. 4/4 = 1 <--, 4/8 = 0.5, 4/16 = 0.25) • Solutions: 1) Q1 from (a2 = 20/16) and Q1 from (a2r = 4/4) <-- #2? choice • 2) Q1 from (a2 = 20/16) and Q1 from (a2r = 4/8) <--- #3? choice • (4/8 will have unused Ports) • The COST and LEADTIME decision may make this choice) • Execute MATHRULE2 • Execute MATHRULE3 • Execute MATHRULE3 • Execute Select Best Comparison (User Input to Inventory)

  22. Modules (~175 Rules) Digital Module 25 Analog Module 25 Clock Module 25 DAQ Module 25 Com Module 25 Switch Module 25 Source Module 25 Cabling (~100 Rules) Computer (~150 Rules) Chassis (~75 Rules) Cabinet H/W (~250 Rules) Test Fixture (~75 Rules) Monitor (~75 Rules) Power (~125 Rules) Total Rule Estimate ~1025 Rule Estimate Rules for System

  23. Proposed Design Solution

  24. Issues • Use a database or individual text files • Focus will be on Digital Module Selection • JAVA/NARL Interaction • Data parsing routines

  25. Status • Conceptual design completed • Adding to the existing rule base • Selected JAVA and NARL • Data file format

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