Kaizen Selection for Continuous Improvement through VSM-Fuzzy-TOPSIS in Small-Scale Enterprises: An Indian Case Study

<table class="fixed-width table-group" id="tab7"><tr><td><table class="table"><colgroup><col style="width:3.40em"/><col style="width:4.79em"/><col style="width:4.84em"/><col style="width:4.91em"/><col style="width:4.87em"/></colgroup><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center"><span style="width: 16.0748ptpx;"><svg height="12.6108pt" id="M13" style="vertical-align:-3.40075pt" version="1.1" viewbox="-0.0498162 -9.21005 16.0748 12.6108" width="16.0748pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M541 58L519 60C477 65 472 69 472 126V703C421 688 341 674 277 667V636C338 628 344 624 344 570V449C322 452 311 454 303 454C147 454 29 343 29 207C29 58 147 -12 233 -12C244 -12 259 -9 283 6L344 45V-13C423 10 517 22 541 26V58ZM344 80C322 66 307 64 289 64C243 64 171 111 171 234C171 386 248 412 271 412C301 412 328 395 344 360V80Z" id="g13-98"></path></g><g transform="matrix(.0091,0,0,-0.0091,7.111,3.132)"><path d="M151 515C194 515 227 548 227 587C227 629 194 661 152 661C112 661 77 629 77 587C77 548 112 515 151 515ZM290 0V39C230 46 226 52 226 120V457C172 442 105 428 38 421V386C88 379 95 376 95 309V120C95 49 89 45 31 39V0H290Z" id="g22-103"></path></g><g transform="matrix(.0091,0,0,-0.0091,9.859,3.132)"><path d="M556 236V289H337V504H275V289H56V236H275V-4H337V236H556Z" id="g54-36"></path></g></svg></span></td><td class="align_center"><span style="width: 13.6178ptpx;"><svg height="12.3916pt" id="M14" style="vertical-align:-3.18155pt" version="1.1" viewbox="-0.0498162 -9.21005 13.6178 12.3916" width="13.6178pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M541 58L519 60C477 65 472 69 472 126V703C421 688 341 674 277 667V636C338 628 344 624 344 570V449C322 452 311 454 303 454C147 454 29 343 29 207C29 58 147 -12 233 -12C244 -12 259 -9 283 6L344 45V-13C423 10 517 22 541 26V58ZM344 80C322 66 307 64 289 64C243 64 171 111 171 234C171 386 248 412 271 412C301 412 328 395 344 360V80Z" id="g13-98"></path></g><g transform="matrix(.0091,0,0,-0.0091,7.111,3.132)"><path d="M151 515C194 515 227 548 227 587C227 629 194 661 152 661C112 661 77 629 77 587C77 548 112 515 151 515ZM290 0V39C230 46 226 52 226 120V457C172 442 105 428 38 421V386C88 379 95 376 95 309V120C95 49 89 45 31 39V0H290Z" id="g22-103"></path></g><g transform="matrix(.0091,0,0,-0.0091,9.859,3.132)"><path d="M302 265H56L41 194H287L302 265Z" id="g187-46"></path></g></svg></span></td><td class="align_center"><span style="width: 21.1417ptpx;"><svg height="11.9218pt" id="M15" style="vertical-align:-3.181499pt" version="1.1" viewbox="-0.0498162 -8.7403 21.1417 11.9218" width="21.1417pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M625 186C574 85 512 32 429 32C293 32 194 153 194 337C194 485 274 621 419 621C496 621 573 586 606 468L643 475C636 537 629 583 620 638C593 644 519 665 438 665C199 665 42 523 42 317C42 158 152 -15 418 -15C486 -15 578 5 604 11C621 46 647 122 660 171L625 186Z" id="g13-65"></path></g><g transform="matrix(.013,0,0,-0.013,8.932,0)"><path d="M625 186C574 85 512 32 429 32C293 32 194 153 194 337C194 485 274 621 419 621C496 621 573 586 606 468L643 475C636 537 629 583 620 638C593 644 519 665 438 665C199 665 42 523 42 317C42 158 152 -15 418 -15C486 -15 578 5 604 11C621 46 647 122 660 171L625 186Z" id="g13-65"></path></g><g transform="matrix(.0091,0,0,-0.0091,17.72,3.132)"><path d="M151 515C194 515 227 548 227 587C227 629 194 661 152 661C112 661 77 629 77 587C77 548 112 515 151 515ZM290 0V39C230 46 226 52 226 120V457C172 442 105 428 38 421V386C88 379 95 376 95 309V120C95 49 89 45 31 39V0H290Z" id="g22-103"></path></g></svg></span></td><td class="align_center"><b>Ranking</b></td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left"><b>KE-1</b></td><td class="align_center">0.527023</td><td class="align_center">0.268328</td><td class="align_center">0.337371</td><td class="align_center"><b>3</b></td></tr><tr><td class="align_left" colspan="5"><hr/></td></tr><tr><td class="align_left"><b>KE-2</b></td><td class="align_center">0.159926</td><td class="align_center">0.496233</td><td class="align_center">0.756269</td><td class="align_center"><b>1</b></td></tr><tr><td class="align_left" colspan="5"><hr/></td></tr><tr><td class="align_left"><b>KE-3</b></td><td class="align_center">0.379473</td><td class="align_center">0.376501</td><td class="align_center">0.498034</td><td class="align_center"><b>2</b></td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparing the closeness coefficient of KEs.</div>

Advances in Fuzzy Systems

tab7

Table 7

Table 7: Kaizen Selection for Continuous Improvement through VSM-Fuzzy-TOPSIS in Small-Scale Enterprises: An Indian Case Study 