LEADER 04218nam 22006375 450 001 9910155298103321 005 20200705015947.0 024 7 $a10.1007/978-3-319-48635-2 035 $a(CKB)3710000000966134 035 $a(DE-He213)978-3-319-48635-2 035 $a(MiAaPQ)EBC4748059 035 $a(PPN)222236000 035 $a(EXLCZ)993710000000966134 100 $a20161124d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInventory Management with Alternative Delivery Times /$fby Xiaoying Liang, Lijun Ma, Haifeng Wang, Houmin Yan 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XI, 106 p. 12 illus., 6 illus. in color.) 225 1 $aSpringerBriefs in Operations Management,$x2365-8320 311 $a3-319-48633-0 311 $a3-319-48635-7 320 $aIncludes bibliographical references and index. 327 $aChapter 1. Overview -- Chapter 2. Examples From Industry -- Chapter 3. Inventory Models with Two Delivery-time Options -- Chapter 4. Inventory Models with Delivery-time Upgrade -- Chapter 5. Inventory Control and Pricing with Alternative Delivery Times -- Chapter 6. Inventory Commitment and Prioritized Backlogging Clearance with Alternative Delivery Times -- Chapter 7. Inventory Management with Alternative Delivery Times: The Case of Group Buying. 330 $aThis book develops a modeling framework to analyze the problem of inventory management with alternative delivery times. The general context considered here is that a seller replenishes its inventory in fixed intervals and, between replenishments, allocates the limited inventory to satisfy customers who are both price and delivery-time sensitive. On the demand side, customers have heterogeneous delivery-time requirements and choose either spot or late delivery. This theoretical modeling captures the essence of real-world business practices such as the delivery time market segmentation strategy adopted by automobile dealerships in China and many other similar examples. The book focuses on the seller?s optimal inventory replenishment and demand fulfillment policies, and our results provide managerial insights into the merits of flexible delivery-time options. Similar applications such as the group-buying mechanism are also examined. The main mathematical tool used in theoretical analysis is dynamic programming. This book is written for students, researchers, and practitioners in the areas of operations management and industrial engineering who are interested in understanding the rationale of flexible delivery times and designing successful applications. 410 0$aSpringerBriefs in Operations Management,$x2365-8320 606 $aProduction management 606 $aEngineering economics 606 $aEngineering economy 606 $aTransportation 606 $aOperations Management$3https://scigraph.springernature.com/ontologies/product-market-codes/519000 606 $aEngineering Economics, Organization, Logistics, Marketing$3https://scigraph.springernature.com/ontologies/product-market-codes/T22016 606 $aTransportation$3https://scigraph.springernature.com/ontologies/product-market-codes/119000 615 0$aProduction management. 615 0$aEngineering economics. 615 0$aEngineering economy. 615 0$aTransportation. 615 14$aOperations Management. 615 24$aEngineering Economics, Organization, Logistics, Marketing. 615 24$aTransportation. 676 $a658.562 700 $aLiang$b Xiaoying$4aut$4http://id.loc.gov/vocabulary/relators/aut$0903275 702 $aMa$b Lijun$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWang$b Haifeng$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aYan$b Houmin$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155298103321 996 $aInventory Management with Alternative Delivery Times$92019316 997 $aUNINA