Knowledge (XXG)

Inventory optimization

Source 📝

211:" phenomenon which is causing a greater percentage of total sales for many companies to come from a large number of products, each with low sales frequency. Shorter and more frequent product cycles which are required to meet the needs of more sophisticated markets create the need to manage supply chains containing more products and parts. Hence, businesses need to understand how this affects their inventory and how they can seize the opportunities presented by such products. 273:
centers, the distribution center represents one echelon of the supply chain and the outlet another one. It should be clear that the amount of stock needed at the outlets is a function of the service received from the distribution center. The better the service that is provided upstream, the smaller the protection that is needed downstream. The goal of multi-echelon inventory optimization is to continually update and optimize safety stock levels across all of these echelons.
124: 25: 196:
Center (APQC) Open Standards data shows that the median company carries an inventory of 10.6 percent of annual revenues as of 2011. The typical cost of carrying inventory is at least 10.0 percent of the inventory value. So the median company spends over 1 percent of revenues carrying inventory, although for some companies the number is much higher.
66: 244:—with variable states described by probability distributions. Stochastic optimization takes supply uncertainty into account that, for example, 6 percent of orders from an overseas supplier are 1–3 days late, 1 percent are 4–6 days late, 5 percent are 7–14 days late and 8 percent are more than 14 days late. 203:
at a premium, it is important for companies to keep inventory levels as low as possible and to sell inventory as quickly as possible. When Wall Street analysts look at a company's performance to make earnings forecasts and buy and sell recommendations, inventory is always one of the top factors they
195:
In contrast to the traditional "binge and purge" inventory cycle in which companies over-purchase product to prepare for possible demand spikes and then discard extra product, inventory optimization seeks to more efficiently match supply to expected customer demand. American Productivity and Quality
250:
also accounts for demand volatility which is a top priority among the challenges faced by supply chain professionals. For example, management predicts a 65 percent probability of selling 500 units, a 20 percent probability of selling 400 units and a 15 percent probability of selling 600 units. High
227:
Without inventory optimization, companies commonly set inventory targets using rules of thumb or single stage calculations. Rules of thumb normally involve setting a number of days of supply as a coverage target. Single stage calculations look at a single item in a single location and calculate the
272:
Multi-echelon inventory optimization looks at inventory levels holistically across the supply chain while taking into account the impact of inventories at any given level or echelon on other echelons. For example, if the product sold in a retailer's outlet is received from one of its distribution
268:
A sequential single-echelon approach forecasts demand and determines required inventory for each echelon separately. Multi-echelon inventory optimization determines the correct levels of inventory across the network based on demand variability at the various nodes and the performance (lead time,
264:
Single-echelon location problems are single-type problems such that either the material flow coming out or the material flow entering the facilities to be located is negligible. In multiple-echelon problems, both inbound and outbound commodities are relevant. This is the case, for example, when
214:
At the same time, planning frequencies and time-buckets are moving from monthly/weekly to daily and the number of managed stocking locations from dozens in distribution centers to hundreds or thousands at the points of sale (POS). This leads to a large number of time series with a high level of
285:
Scheuffele and Kulshreshtha refer to inventory optimization engines or IO engines, whose function is to analyze inventory data using a holistic approach across the supply network. They note growing interest in their use and application in specific inventory fields, such as plant operations,
276:
Multi-echelon inventory optimization represents a "state of the art" approach to optimize inventory across the end to end supply chain. Modeling multiple stages allows other types of inventory, including cycle stock and prebuild along with safety stock due to time phased demands, to be more
255:
can be achieved with cost overruns, excessive inventory and firefighting, but higher profitability can be achieved by understanding the sources of volatility and planning appropriately. The result is a better understanding of the inventory requirements than with a deterministic approach.
265:
distribution centers (DCs) have to be located taking into account both the transportation cost from plants to DCs and the transportation cost from DCs to customers. In multiple-echelon problems, constraints aiming at balancing inbound and outbound flows have to be considered.
313:, a United Kingdom-based world's largest distributor of electronics and maintenance products, increased profits by £36 million by using inventory optimization to achieve higher service levels while reducing inventory. 219:", which often causes small changes in actual demand to cause a much larger change in perceived demand, which in turn can mislead companies to make bigger changes in inventory than are really necessary. 277:
accurately predicted. As part of inventory optimization, supplier performance, customer service and internal asset metrics should be continuously monitored to enable continuous improvement.
326:, used inventory optimization to better address demand volatility and supply variability, thus reducing the risk of both understocks and overstocks while smoothing out manufacturing cycles. 723: 319:
has used inventory optimization to reduce finished goods inventory by an average of 35 percent in two years while increasing service levels (defined as line fill rates) by 9 percent.
187:
that "every company has the challenge of matching its supply volume to customer demand. How well the company manages this challenge has a major impact on its profitability."
302:
Manufacturing Insights found that many organizations that utilized inventory optimization reduced inventory levels by up to 25 percent in one year and enjoyed a
396: 685: 658:
Noha Tohamy, "A User Guide to Network Design and Inventory Optimization Solutions", Gartner Research, Publication Number G00209211, December 8, 2010.
38: 715: 76: 87: 620:
Tim Payne, "Magic Quadrant for Supply Chain Planning for Process Automation", Gartner Research, ID Number G00200934. September 3, 2010.
159: 105: 52: 605: 668: 630: 758: 584: 299: 379: 567: 540:
P.J. Jakovljevic, "A Modern Tale of Long (Supply Chain) Tails — Part I," Technical Evaluation Centers Blog, July 2009.
44: 356: 204:
consider. Studies have shown a 77% correlation between overall manufacturing profitability and inventory turns.
215:
demand volatility. This explains one of the main challenges in managing modern supply chains, the so-called "
346: 247: 698: 500: 80:
that states a Knowledge (XXG) editor's personal feelings or presents an original argument about a topic.
517: 439: 414: 483: 303: 237: 184: 175:
refers to the techniques used by businesses to improve their oversight, control and management of
241: 461: 310: 341: 298:
Companies have achieved financial benefits by employing inventory optimization. A study by
240:—with every set of variable states uniquely determined by the parameters in the model – or 727: 643: 609: 216: 200: 647: 137:
Please help update this article to reflect recent events or newly available information.
180: 601: 752: 287: 252: 323: 738:
Robert J. Bowman, "For Smiths Medical, Service Quality Is an Ever-Moving Goal,"
550: 199:
Also, the amount of inventory held has a major impact on available cash. With
351: 336: 208: 176: 642:
Introduction to Logistics Systems Planning and Control - Gianpaolo Ghiani,
316: 16:
Business practice for improving location and size of inventory storage
686:
Inventory Optimization: Balancing the Asset versus Service Tradeoff
518:"The Long Tail of Inventory... and 3 reasons why it's important" 386:, Volume 5, No. 3, July–September 2007, accessed 3 December 2023 117: 59: 18: 462:
Inventory Optimization Saves Working Capital in Tough Times
77:
personal reflection, personal essay, or argumentative essay
568:
How Inventory Optimization Opens Pathways to Profitability
207:
The challenge of managing inventory is increased by the "
83: 648:
http://onlinelibrary.wiley.com/book/10.1002/0470014040
380:
Inventory Optimization: A Necessity Turning to Urgency
306:
above 50 percent in less than two years. For example:
135:. The reason given is: Data and examples are outdated. 415:"Inventory Optimization & Its Role in Businesses" 456: 454: 452: 675:, published 1 March 2005, accessed 4 December 2023 484:Supply Chain News: What is Inventory Optimization? 669:Are Your Inventory Management Practices Outdated? 631:Are Your Inventory Management Practices Outdated? 602:Are Your Inventory Management Practices Outdated 395:Yogesh Malik, Alex Niemeyer, and Brian Ruwadi, 269:delays, service level) at the higher echelons. 585:Optimizing Your Supply Chain: A Model Approach 478: 476: 474: 228:amount of inventory required to meet demand. 8: 236:Inventory optimization models can be either 53:Learn how and when to remove these messages 705:, Number 1, Quarter 1, 2012. Pages 36-38. 440:Inventory Optimization: Show Me the Money 397:"Building the supply chain of the future" 160:Learn how and when to remove this message 106:Learn how and when to remove this message 179:size and location across their extended 368: 378:Scheuffele, G. and Kulshreshtha, A., 7: 688:," APQC Best Practices Report, 2011. 374: 372: 716:Break on Through to the Other Side 14: 604:," AberdeenGroup, March 1, 2005. 34:This article has multiple issues. 122: 64: 23: 551:Bullwhip Effect in Supply Chain 191:Inventory management challenges 42:or discuss these issues on the 572:Supply Chain Management Review 444:Supply Chain Management Review 413:King, Bill (11 January 2017). 322:Smiths Medical, a division of 281:Inventory optimization engines 183:. It has been observed within 1: 290:, and within transportation. 232:Deterministic vs. stochastic 775: 608:December 29, 2009, at the 633:published on 1 March 2005 357:Mathematical optimization 131:This article needs to be 699:Handling Volatile Demand 260:Single vs. multi-echelon 505:Supply Chain World Blog 347:Supply chain management 248:Stochastic optimization 759:Inventory optimization 583:Leslie Hansen Harps, " 501:Inventory Optimization 223:Non-optimized approach 173:Inventory optimization 86:by rewriting it in an 703:Supply Chain Movement 507:, September 2, 2010. 304:discounted cash flow 720:Managing Automation 646:, Roberto Musmanno 574:, March/April 2011. 488:Supply Chain Digest 185:operations research 740:Supply Chain Brain 726:2013-05-10 at the 566:Sean P. Willems, " 522:www.tradegecko.com 490:, August 28, 2008. 468:, August 24, 2009. 460:William Brandel, " 401:McKinsey Quarterly 88:encyclopedic style 75:is written like a 722:, February 2005. 714:Hallie Forcino, " 697:Sarah Lafferty, " 589:Inbound Logistics 384:SETLabs Briefings 311:Electrocomponents 170: 169: 162: 152: 151: 116: 115: 108: 57: 766: 743: 742:, June 15, 2012. 736: 730: 712: 706: 695: 689: 682: 676: 665: 659: 656: 650: 640: 634: 629:Aberdeen Group, 627: 621: 618: 612: 598: 592: 581: 575: 564: 558: 547: 541: 538: 532: 531: 529: 528: 514: 508: 497: 491: 480: 469: 458: 447: 446:, July 19, 2011. 436: 430: 429: 427: 425: 410: 404: 393: 387: 376: 342:Inventory theory 165: 158: 147: 144: 138: 126: 125: 118: 111: 104: 100: 97: 91: 68: 67: 60: 49: 27: 26: 19: 774: 773: 769: 768: 767: 765: 764: 763: 749: 748: 747: 746: 737: 733: 728:Wayback Machine 713: 709: 696: 692: 683: 679: 666: 662: 657: 653: 644:Gilbert Laporte 641: 637: 628: 624: 619: 615: 610:Wayback Machine 599: 595: 582: 578: 565: 561: 548: 544: 539: 535: 526: 524: 516: 515: 511: 499:Vijay Sangam, " 498: 494: 481: 472: 459: 450: 438:Marisa Brown, " 437: 433: 423: 421: 412: 411: 407: 394: 390: 377: 370: 365: 333: 296: 283: 262: 234: 225: 217:bullwhip effect 201:working capital 193: 166: 155: 154: 153: 148: 142: 139: 136: 127: 123: 112: 101: 95: 92: 84:help improve it 81: 69: 65: 28: 24: 17: 12: 11: 5: 772: 770: 762: 761: 751: 750: 745: 744: 731: 707: 690: 677: 660: 651: 635: 622: 613: 593: 576: 559: 542: 533: 509: 492: 482:Dan Gilmore, " 470: 448: 431: 405: 403:, January 2011 388: 367: 366: 364: 361: 360: 359: 354: 349: 344: 339: 332: 329: 328: 327: 320: 314: 295: 292: 288:assembly lines 282: 279: 261: 258: 253:service levels 233: 230: 224: 221: 192: 189: 181:supply network 168: 167: 150: 149: 130: 128: 121: 114: 113: 72: 70: 63: 58: 32: 31: 29: 22: 15: 13: 10: 9: 6: 4: 3: 2: 771: 760: 757: 756: 754: 741: 735: 732: 729: 725: 721: 717: 711: 708: 704: 700: 694: 691: 687: 681: 678: 674: 673:AberdeenGroup 670: 664: 661: 655: 652: 649: 645: 639: 636: 632: 626: 623: 617: 614: 611: 607: 603: 597: 594: 591:, April 2003. 590: 586: 580: 577: 573: 569: 563: 560: 556: 552: 546: 543: 537: 534: 523: 519: 513: 510: 506: 502: 496: 493: 489: 485: 479: 477: 475: 471: 467: 466:Computerworld 463: 457: 455: 453: 449: 445: 441: 435: 432: 420: 416: 409: 406: 402: 398: 392: 389: 385: 381: 375: 373: 369: 362: 358: 355: 353: 350: 348: 345: 343: 340: 338: 335: 334: 330: 325: 321: 318: 315: 312: 309: 308: 307: 305: 301: 293: 291: 289: 280: 278: 274: 270: 266: 259: 257: 254: 249: 245: 243: 239: 238:deterministic 231: 229: 222: 220: 218: 212: 210: 205: 202: 197: 190: 188: 186: 182: 178: 174: 164: 161: 146: 143:December 2023 134: 129: 120: 119: 110: 107: 99: 89: 85: 79: 78: 73:This article 71: 62: 61: 56: 54: 47: 46: 41: 40: 35: 30: 21: 20: 739: 734: 719: 710: 702: 693: 680: 672: 667:Enslow, B., 663: 654: 638: 625: 616: 596: 588: 579: 571: 562: 554: 545: 536: 525:. Retrieved 521: 512: 504: 495: 487: 465: 443: 434: 422:. Retrieved 418: 408: 400: 391: 383: 324:Smiths Group 297: 284: 275: 271: 267: 263: 246: 235: 226: 213: 206: 198: 194: 172: 171: 156: 140: 132: 102: 93: 74: 50: 43: 37: 36:Please help 33: 419:AvidXchange 555:World News 527:2015-11-24 363:References 242:stochastic 39:improve it 352:Logistics 337:Inventory 209:Long Tail 177:inventory 45:talk page 753:Category 724:Archived 606:Archived 424:26 April 331:See also 294:Benefits 96:May 2020 317:Castrol 133:updated 82:Please 426:2017 718:," 701:," 587:," 570:," 553:," 503:," 486:," 464:," 442:," 300:IDC 755:: 671:, 520:. 473:^ 451:^ 417:. 399:, 382:, 371:^ 48:. 684:" 600:" 557:. 549:" 530:. 428:. 163:) 157:( 145:) 141:( 109:) 103:( 98:) 94:( 90:. 55:) 51:(

Index

improve it
talk page
Learn how and when to remove these messages
personal reflection, personal essay, or argumentative essay
help improve it
encyclopedic style
Learn how and when to remove this message
Learn how and when to remove this message
inventory
supply network
operations research
working capital
Long Tail
bullwhip effect
deterministic
stochastic
Stochastic optimization
service levels
assembly lines
IDC
discounted cash flow
Electrocomponents
Castrol
Smiths Group
Inventory
Inventory theory
Supply chain management
Logistics
Mathematical optimization

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.