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Root Cause Analysis Solver Engine

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systems. The result is a security system monitoring and preventing defective products from being produced. The output from the analysis will be markers that identify either an exact root cause of failure or a parametric region pointing high probability of failure (i.e. data-driven guidance on where
326: 75:, the method of problem solving that tries to identify the root causes of faults or problems. RCASE is now owned by the spin-out company Warwick Analytics where it is being applied to automated predictive analytics software. 392: 517: 370: 578: 271: 209:, it will still narrow the search space and advise where the root cause may lie. This is a different approach to statistical theories which try to find a 115:. Because it was built to handle the data types above, it has been proven to have many advantages over other types of classification algorithms and 630: 417: 620: 496: 442: 348: 327:"When Academia Meets The Real World, The Experience Can Be Life-altering: A First Person Perspective by Dan Sommers, Warwick Analytics" 301: 467: 279: 224: 228: 471: 64: 521: 217: 124: 542: 252: 83:
The algorithm has been built from the ground up to be particularly suitable for the following situations:
189:, used the research technology behind RCASE to support their quality processes. It was used to eliminate 240: 393:"SAP to boost growth opportunities, deliver innovation with disruptive solutions from partner tie-ups" 236: 106: 128: 111: 72: 36: 625: 220: 171: 68: 492: 116: 396: 155: 371:"Removing hypotheses for fault-finding in Six Sigma to revolutionise quality management" 216:
RCASE is based on optimised combinatorial theory and runs on either a grid cluster or a
163: 120: 302:"Manufacturing Global, Emerging Predictive Analytics for the Manufacturing Industries" 235:
The software can be installed on Linux or Microsoft operating systems and deployed as
614: 556: 275: 205:. If the key parameters causing the issue or fault in a process are not present in a 138:
It has since been commercialised and made available for operating systems such as
150:. RCASE originated from manufacturing and is widely used in applications such as 446: 418:"SAP Spurs Innovation by Powering More Than 500 Startups Globally With SAP HANA" 159: 101:
complex problems for example multi-modal failure or with more than one solution
582: 202: 167: 132: 87: 349:"Manufacturing 4.0 – From Industrialisation to Data-Driven Product Lifecycle" 579:"Warwick Analytics Revolutionises Manufacturing Processes at DEMO Fall 2013" 186: 151: 147: 60: 543:"Press release: Midlands Company could solve mass vehicle recall problems" 443:"How German-based SAP is creating a startup ecosystem from Silicon Valley" 210: 182: 166:
and warranty issues. However it is also used in other industries such as
143: 71:. RCASE development commenced in 2003 to provide an automated version of 206: 421: 139: 17: 605: 305: 232:
to look next to gather data and resolve the root cause exactly).
518:"Warwick Analytics pioneers manufacturing fault finder software" 493:"Analytical software could solve mass product recall problems" 201:
RCASE is non-statistical and thus does not require any
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RCASE is considered to be an innovator in the field of
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and utilities where root cause analysis is required.
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quality issues for a particular mobile phone model.
468:"Advanced analytics solves 'No Fault Found' issues" 42: 32: 272:"Overview of Warwick Analytical Software Limited" 8: 27: 63:developed from research originally at the 545:. University of Warwick. 25 October 2010. 46:inaccurate, incomplete and erroneous data 28:Root Cause Analysis Solver Engine (RCASE) 557:"Using Big Data to Achieve Zero Defects" 263: 223:. The software will interface with all 26: 7: 497:Engineering and Technology Magazine 25: 109:and falls within the category of 65:Warwick Manufacturing Group (WMG) 53:Root Cause Analysis Solver Engine 631:Business intelligence software 1: 197:Mechanism & architecture 472:Warwick Manufacturing Group 647: 621:Statistical classification 559:. European Business Review 112:classification algorithms 373:. Supply Chain Digital 253:Predictive maintenance 131:. It does not require 243:(“SaaS” or “cloud”). 241:Software-as-a-Service 129:regression techniques 178:Notable applications 107:Predictive analytics 282:on November 8, 2014 119:algorithms such as 73:root cause analysis 59:) is a proprietary 37:Information science 29: 221:in-memory database 172:financial services 69:Warwick University 606:Warwick Analytics 50: 49: 16:(Redirected from 638: 594: 593: 591: 589: 575: 569: 568: 566: 564: 553: 547: 546: 539: 533: 532: 530: 528: 514: 508: 507: 505: 503: 489: 483: 482: 480: 478: 464: 458: 457: 455: 453: 439: 433: 432: 430: 428: 414: 408: 407: 405: 403: 389: 383: 382: 380: 378: 367: 361: 360: 358: 356: 345: 339: 338: 336: 334: 323: 317: 316: 314: 312: 298: 292: 291: 289: 287: 278:. Archived from 268: 218:high performance 117:machine learning 30: 21: 646: 645: 641: 640: 639: 637: 636: 635: 611: 610: 602: 597: 587: 585: 577: 576: 572: 562: 560: 555: 554: 550: 541: 540: 536: 526: 524: 516: 515: 511: 501: 499: 491: 490: 486: 476: 474: 466: 465: 461: 451: 449: 441: 440: 436: 426: 424: 416: 415: 411: 401: 399: 397:InformationWeek 391: 390: 386: 376: 374: 369: 368: 364: 354: 352: 347: 346: 342: 332: 330: 325: 324: 320: 310: 308: 300: 299: 295: 285: 283: 270: 269: 265: 261: 249: 199: 180: 156:quality control 125:neural networks 92:incomplete data 81: 23: 22: 15: 12: 11: 5: 644: 642: 634: 633: 628: 623: 613: 612: 609: 608: 601: 600:External links 598: 596: 595: 570: 548: 534: 509: 484: 459: 434: 409: 384: 362: 351:. Citizen Tekk 340: 318: 293: 262: 260: 257: 256: 255: 248: 245: 198: 195: 191:No Fault Found 185:, the home of 179: 176: 164:product design 121:decision trees 103: 102: 99: 98:small datasets 96: 93: 90: 80: 77: 48: 47: 44: 43:Data structure 40: 39: 34: 24: 14: 13: 10: 9: 6: 4: 3: 2: 643: 632: 629: 627: 624: 622: 619: 618: 616: 607: 604: 603: 599: 584: 580: 574: 571: 558: 552: 549: 544: 538: 535: 523: 519: 513: 510: 498: 494: 488: 485: 473: 469: 463: 460: 448: 444: 438: 435: 423: 419: 413: 410: 398: 394: 388: 385: 372: 366: 363: 350: 344: 341: 328: 322: 319: 307: 303: 297: 294: 281: 277: 276:Business Week 273: 267: 264: 258: 254: 251: 250: 246: 244: 242: 238: 233: 230: 226: 222: 219: 214: 212: 208: 204: 196: 194: 192: 188: 184: 177: 175: 173: 169: 165: 161: 157: 153: 149: 145: 141: 136: 134: 130: 126: 122: 118: 114: 113: 108: 100: 97: 94: 91: 89: 86: 85: 84: 78: 76: 74: 70: 66: 62: 58: 54: 45: 41: 38: 35: 31: 19: 586:. Retrieved 573: 561:. Retrieved 551: 537: 525:. Retrieved 522:The Engineer 512: 500:. Retrieved 487: 475:. Retrieved 462: 450:. Retrieved 437: 425:. Retrieved 412: 400:. Retrieved 387: 375:. Retrieved 365: 353:. Retrieved 343: 331:. Retrieved 321: 309:. Retrieved 296: 284:. Retrieved 280:the original 266: 234: 215: 200: 190: 181: 137: 110: 104: 88:'dirty' data 82: 56: 55:(informally 52: 51: 447:Pando Daily 237:On-Premises 160:engineering 615:Categories 588:8 November 583:Boston.com 563:8 November 527:8 November 502:8 November 477:8 November 452:8 November 427:8 November 402:8 November 377:8 November 355:8 November 333:8 November 311:8 November 286:8 November 259:References 203:hypotheses 168:e-commerce 133:hypotheses 626:Analytics 329:. TechNet 187:Six Sigma 152:Six Sigma 148:Microsoft 79:Algorithm 61:algorithm 247:See also 211:best fit 183:Motorola 144:Teradata 95:big data 207:dataset 422:SAP SE 306:Issuu 57:RCASE 33:Class 18:RCASE 590:2014 565:2014 529:2014 504:2014 479:2014 454:2014 429:2014 404:2014 379:2014 357:2014 335:2014 313:2014 288:2014 227:and 158:and 146:and 127:and 239:or 229:ERP 225:MES 140:SAP 67:at 617:: 581:. 520:. 495:. 470:. 445:. 420:. 395:. 304:. 274:. 213:. 170:, 162:, 154:, 142:, 135:. 123:, 592:. 567:. 531:. 506:. 481:. 456:. 431:. 406:. 381:. 359:. 337:. 315:. 290:. 20:)

Index

RCASE
Information science
algorithm
Warwick Manufacturing Group (WMG)
Warwick University
root cause analysis
'dirty' data
Predictive analytics
classification algorithms
machine learning
decision trees
neural networks
regression techniques
hypotheses
SAP
Teradata
Microsoft
Six Sigma
quality control
engineering
product design
e-commerce
financial services
Motorola
Six Sigma
hypotheses
dataset
best fit
high performance
in-memory database

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