Controlling distribution inventory systems with shipment consolidation and compound Poisson demand
•Heuristics for controlling one-warehouse-multiple-retailer inventory systems.•Time based shipment consolidation and compound Poisson demand.•Single-item and multi-item methods for backorder cost and fillrate constraint models.•Numerical evaluation against existing exact results show near optimal pe...
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| Vydáno v: | European journal of operational research Ročník 280; číslo 1; s. 90 - 101 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.01.2020
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| ISSN: | 0377-2217, 1872-6860, 1872-6860 |
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| Abstract | •Heuristics for controlling one-warehouse-multiple-retailer inventory systems.•Time based shipment consolidation and compound Poisson demand.•Single-item and multi-item methods for backorder cost and fillrate constraint models.•Numerical evaluation against existing exact results show near optimal performance.•Practical applicability and impact illustrated using real company data.
We consider a one-warehouse-multiple-retailer inventory system where the retailers face stochastic customer demand, modelled as compound Poisson processes. Deliveries from the central warehouse to groups of retailers are consolidated using a time based shipment consolidation policy. This means that replenishment orders have to wait until a vehicle departures, which increases the lead time for the retailers and therefore also the safety stock. Thus, a trade-off exists between expected shipment costs and holding costs. Our aim is to determine the shipment intervals and the required amount of safety stock for each retailer and the warehouse to minimize total cost, both for backorder costs and fill rate constraints. Previous work has focused on exact solutions which are computationally demanding and not applicable for larger real world problems. The focus of our present work is on the development of computationally attractive heuristics that can be applied in practice. A numerical study shows that the proposed heuristics perform well compared to the exact cost minimizing solutions. We also illustrate that the approaches are appropriate for solving real world problems using data from a large European company. |
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| AbstractList | We consider a one-warehouse-multiple-retailer inventory system where the retailers face stochastic customer demand, modelled as compound Poisson processes. Deliveries from the central warehouse to groups of retailers are consolidated using a time based shipment consolidation policy. This means that replenishment orders have to wait until a vehicle departures, which increases the lead time for the retailers and therefore also the safety stock. Thus, a trade-off exists between expected shipment costs and holding costs. Our aim is to determine the shipment intervals and the required amount of safety stock for each retailer and the warehouse to minimize total cost, both for backorder costs and fill rate constraints. Previous work has focused on exact solutions which are computationally demanding and not applicable for larger real world problems. The focus of our present work is on the development of computationally attractive heuristics that can be applied in practice. A numerical study shows that the proposed heuristics perform well compared to the exact cost minimizing solutions. We also illustrate that the approaches are appropriate for solving real world problems using data from a large European company. •Heuristics for controlling one-warehouse-multiple-retailer inventory systems.•Time based shipment consolidation and compound Poisson demand.•Single-item and multi-item methods for backorder cost and fillrate constraint models.•Numerical evaluation against existing exact results show near optimal performance.•Practical applicability and impact illustrated using real company data. We consider a one-warehouse-multiple-retailer inventory system where the retailers face stochastic customer demand, modelled as compound Poisson processes. Deliveries from the central warehouse to groups of retailers are consolidated using a time based shipment consolidation policy. This means that replenishment orders have to wait until a vehicle departures, which increases the lead time for the retailers and therefore also the safety stock. Thus, a trade-off exists between expected shipment costs and holding costs. Our aim is to determine the shipment intervals and the required amount of safety stock for each retailer and the warehouse to minimize total cost, both for backorder costs and fill rate constraints. Previous work has focused on exact solutions which are computationally demanding and not applicable for larger real world problems. The focus of our present work is on the development of computationally attractive heuristics that can be applied in practice. A numerical study shows that the proposed heuristics perform well compared to the exact cost minimizing solutions. We also illustrate that the approaches are appropriate for solving real world problems using data from a large European company. |
| Author | Kiesmüller, Gudrun P. Sonntag, Danja R. Johansson, Lina Marklund, Johan |
| Author_xml | – sequence: 1 givenname: Lina surname: Johansson fullname: Johansson, Lina organization: Faculty of Engineering LTH, Department of Industrial Management and Logistics, Lund University, P.O. Box 118, Lund SE-221 00, Sweden – sequence: 2 givenname: Danja R. surname: Sonntag fullname: Sonntag, Danja R. organization: Area Operations Management, University of Mannheim, Business School, P.O. Box 103462, Mannheim D-68131, Germany – sequence: 3 givenname: Johan orcidid: 0000-0001-7573-105X surname: Marklund fullname: Marklund, Johan email: johan.marklund@iml.lth.se organization: Faculty of Engineering LTH, Department of Industrial Management and Logistics, Lund University, P.O. Box 118, Lund SE-221 00, Sweden – sequence: 4 givenname: Gudrun P. surname: Kiesmüller fullname: Kiesmüller, Gudrun P. organization: Faculty of Economics and Management, Chair of Operations Management, Otto-von-Guericke-University Magdeburg, P.O. Box 4120, Magdeburg D-39106, Germany |
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| Cites_doi | 10.1287/msom.4.1.75.291 10.1287/mnsc.30.1.69 10.1287/mnsc.42.1.1 10.1016/j.ijpe.2008.08.024 10.1016/j.ejor.2018.02.047 10.1287/mnsc.47.9.1306.9782 10.1287/mnsc.49.3.255.12738 10.1287/opre.16.1.122 10.1287/opre.19.3.761 10.1287/mnsc.46.8.1032.12029 10.1287/opre.38.1.64 10.1007/s10479-005-6241-9 10.1016/S0377-2217(97)00327-5 10.1080/07408170903462368 10.1016/S0191-2615(02)00060-7 10.1080/00207543.2013.873555 10.1007/978-3-642-56183-2_22 10.1007/s00291-004-0172-8 10.1016/j.ejor.2013.04.053 10.1016/S0925-5273(97)00005-4 10.1016/j.ejor.2010.11.030 10.1287/opre.2015.1347 10.1287/mnsc.46.2.217.11923 10.1016/0925-5273(94)90082-5 10.1287/opre.1090.0707 10.1287/mnsc.31.10.1247 10.1002/nav.20441 10.1016/0377-2217(94)00242-8 10.1016/0377-2217(96)00080-X 10.1287/opre.1110.1009 10.1287/opre.2016.1510 10.1002/1520-6750(199303)40:2<245::AID-NAV3220400208>3.0.CO;2-M 10.1016/j.ejor.2017.12.029 |
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| References | Cachon, Fisher (bib0010) 2000; 46 Kiesmüller, G. P., & de Kok, A. G. (2005). A multi-item multi-echelon inventory system with quantity-based order consolidation. BETA publicatie: Working papers, No. 147. Eindhoven: Technische Universiteit Eindhoven. Stenius, Marklund, Axsäter (bib0038) 2018; 267 Axsäter (bib0001) 1990; 38 Çetinkaya, Lee (bib0012) 2000; 46 Özer (bib0032) 2003; 49 Axsäter (bib0004) 2003 Kiesmüller (bib0024) 2009; 118 Berling, Marklund (bib0008) 2013; 230 Graves (bib0019) 1996; 42 Axsäter (bib0002) 1993; 40 Simon (bib0035) 1971; 19 Axsäter, Forsberg, Zhang (bib0006) 1994; 35 Diks, de Kok (bib0015) 1998; 111 Verrijdt, de Kok (bib0039) 1996; 89 Howard, Marklund (bib0023) 2011; 211 Marklund, Berling (bib0029) 2017 Axsäter (bib0003) 2001; 47 Federgruen, Zipkin (bib0017) 1984; 30 Shang, Tao, Zhou (bib0033) 2015; 63 de Kok, Grob, Laumanns, Minner, Rambau, Schade (bib0027) 2018; 269 Berling, Marklund (bib0009) 2014; 52 Mutlu, Çetinkaya, Bookbinder (bib0031) 2010; 42 Smits, S. R., & de Kok, A. G. (2001). Approximations for the waiting time in (s,nQ)-inventory models for different types of consolidation policies. BETA publicatie: Working papers, No. 67. Eindhoven: Technische Universiteit Eindhoven. Sherbrooke (bib0034) 1968; 16 Axsäter, Marklund, Silver (bib0007) 2002; 4 Marklund, Rosling (bib0030) 2012; 60 Chu, Shen (bib0014) 2010; 58 Çetinkaya, Bookbinder (bib0011) 2003; 37 van der Heijden, Diks, de Kok (bib0020) 1997; 49 van Houtum, Inderfurth, Zijm (bib0021) 1996; 95 Howard, C. (2013). New allocation policies for divergent inventory systems with real-time information and shipment consolidation. Working paper, Lund University. Federgruen (bib0016) 1993 Marklund (bib0028) 2011; 58 Axsäter (bib0005) 2015 Chen, Wang, Xu (bib0013) 2005; 135 Kiesmüller, de Kok, Smits, van Laarhoven (bib0026) 2004; 26 Graves (bib0018) 1985; 31 Stenius, Karaarslan, Marklund, de Kok (bib0037) 2016; 64 10.1016/j.ejor.2019.06.045_bib0036 van der Heijden (10.1016/j.ejor.2019.06.045_bib0020) 1997; 49 Graves (10.1016/j.ejor.2019.06.045_bib0018) 1985; 31 Kiesmüller (10.1016/j.ejor.2019.06.045_bib0024) 2009; 118 Axsäter (10.1016/j.ejor.2019.06.045_bib0004) 2003 Federgruen (10.1016/j.ejor.2019.06.045_bib0017) 1984; 30 Berling (10.1016/j.ejor.2019.06.045_bib0008) 2013; 230 Çetinkaya (10.1016/j.ejor.2019.06.045_bib0011) 2003; 37 Marklund (10.1016/j.ejor.2019.06.045_bib0029) 2017 Axsäter (10.1016/j.ejor.2019.06.045_bib0005) 2015 Axsäter (10.1016/j.ejor.2019.06.045_bib0006) 1994; 35 de Kok (10.1016/j.ejor.2019.06.045_bib0027) 2018; 269 Diks (10.1016/j.ejor.2019.06.045_bib0015) 1998; 111 van Houtum (10.1016/j.ejor.2019.06.045_bib0021) 1996; 95 Axsäter (10.1016/j.ejor.2019.06.045_bib0003) 2001; 47 Axsäter (10.1016/j.ejor.2019.06.045_bib0002) 1993; 40 Mutlu (10.1016/j.ejor.2019.06.045_bib0031) 2010; 42 10.1016/j.ejor.2019.06.045_bib0025 Özer (10.1016/j.ejor.2019.06.045_bib0032) 2003; 49 Axsäter (10.1016/j.ejor.2019.06.045_bib0001) 1990; 38 Sherbrooke (10.1016/j.ejor.2019.06.045_bib0034) 1968; 16 Stenius (10.1016/j.ejor.2019.06.045_bib0038) 2018; 267 Graves (10.1016/j.ejor.2019.06.045_bib0019) 1996; 42 Simon (10.1016/j.ejor.2019.06.045_bib0035) 1971; 19 Chen (10.1016/j.ejor.2019.06.045_bib0013) 2005; 135 Berling (10.1016/j.ejor.2019.06.045_bib0009) 2014; 52 Howard (10.1016/j.ejor.2019.06.045_bib0023) 2011; 211 10.1016/j.ejor.2019.06.045_bib0022 Shang (10.1016/j.ejor.2019.06.045_bib0033) 2015; 63 Federgruen (10.1016/j.ejor.2019.06.045_bib0016) 1993 Kiesmüller (10.1016/j.ejor.2019.06.045_bib0026) 2004; 26 Marklund (10.1016/j.ejor.2019.06.045_bib0030) 2012; 60 Stenius (10.1016/j.ejor.2019.06.045_bib0037) 2016; 64 Verrijdt (10.1016/j.ejor.2019.06.045_bib0039) 1996; 89 Çetinkaya (10.1016/j.ejor.2019.06.045_bib0012) 2000; 46 Axsäter (10.1016/j.ejor.2019.06.045_bib0007) 2002; 4 Marklund (10.1016/j.ejor.2019.06.045_bib0028) 2011; 58 Cachon (10.1016/j.ejor.2019.06.045_bib0010) 2000; 46 Chu (10.1016/j.ejor.2019.06.045_bib0014) 2010; 58 |
| References_xml | – volume: 42 start-page: 367 year: 2010 end-page: 377 ident: bib0031 article-title: An analytical model for computing the optimal time-and-quantity-based policy for consolidated shipments publication-title: IIE Transactions – start-page: 133 year: 1993 end-page: 173 ident: bib0016 article-title: Centralized planning models for multi-echelon inventory systems under uncertainty publication-title: Handbooks in OR & MS, vol. 4, Logistics of Production and Inventory – reference: Howard, C. (2013). New allocation policies for divergent inventory systems with real-time information and shipment consolidation. Working paper, Lund University. – volume: 118 start-page: 275 year: 2009 end-page: 281 ident: bib0024 article-title: A multi-item periodic replenishment policy with full truckloads publication-title: International Journal of Production Economics – volume: 64 start-page: 906 year: 2016 end-page: 921 ident: bib0037 article-title: Exact analysis of divergent inventory systems with time-based shipment consolidation and compound Poisson demand publication-title: Operations Research – volume: 58 start-page: 59 year: 2011 end-page: 71 ident: bib0028 article-title: Inventory control in divergent supply chains with time-based dispatching and shipment consolidation publication-title: Naval Research Logistics – year: 2015 ident: bib0005 article-title: Inventory control (International series in operations research & management science) – volume: 19 start-page: 761 year: 1971 end-page: 773 ident: bib0035 article-title: Stationary properties of a two-echelon inventory model for low demand items publication-title: Operations Research – volume: 46 start-page: 217 year: 2000 end-page: 232 ident: bib0012 article-title: Stock replenishment and shipment scheduling for vendor-managed inventory systems publication-title: Management Science – volume: 52 start-page: 3331 year: 2014 end-page: 3347 ident: bib0009 article-title: Multi-echelon inventory control: an adjusted normal demand model for implementation in practice publication-title: International Journal of Production Research – volume: 135 start-page: 197 year: 2005 end-page: 210 ident: bib0013 article-title: Integrated inventory replenishment and temporal shipment consolidation: a comparison of quantity-based and time-based models publication-title: Annals of Operations Research – volume: 211 start-page: 298 year: 2011 end-page: 309 ident: bib0023 article-title: Evaluation of stock allocation policies in a divergent inventory system with shipment consolidation publication-title: European Journal of Operational Research – start-page: 189 year: 2017 end-page: 218 ident: bib0029 article-title: Green inventory management publication-title: Sustainable supply chains – start-page: 525 year: 2003 end-page: 559 ident: bib0004 article-title: Supply chain operations: Serial and distribution inventory systems publication-title: Handbooks in OR & MS, vol. 11, Supply Chain Management: Design, Coordination and Operation – volume: 4 start-page: 75 year: 2002 end-page: 97 ident: bib0007 article-title: Heuristic methods for centralized control of one-warehouse, N-retailer inventory systems publication-title: Manufacturing & Service Operations Management – volume: 37 start-page: 747 year: 2003 end-page: 768 ident: bib0011 article-title: Stochastic models for the dispatch of consolidated shipments publication-title: Transportation Research Part B: Methodological – volume: 49 start-page: 157 year: 1997 end-page: 174 ident: bib0020 article-title: Stock allocation in general multi-echelon distribution systems with (R,S) order-up-to-policies publication-title: International Journal of Production Economics – volume: 95 start-page: 1 year: 1996 end-page: 23 ident: bib0021 article-title: Materials coordination in stochastic multi-echelon systems publication-title: European Journal of Operational Research – volume: 89 start-page: 341 year: 1996 end-page: 354 ident: bib0039 article-title: Distribution planning for a divergent depotless two-echelon network under service constraints publication-title: European Journal of Operational Research – volume: 58 start-page: 492 year: 2010 end-page: 502 ident: bib0014 article-title: A power-of-two ordering policy for one-warehouse multiretailer systems with stochastic demand publication-title: Operations Research – volume: 16 start-page: 122 year: 1968 end-page: 141 ident: bib0034 article-title: Metric: A multi-echelon technique for recoverable item control publication-title: Operations Research – reference: Kiesmüller, G. P., & de Kok, A. G. (2005). A multi-item multi-echelon inventory system with quantity-based order consolidation. BETA publicatie: Working papers, No. 147. Eindhoven: Technische Universiteit Eindhoven. – volume: 46 start-page: 1032 year: 2000 end-page: 1048 ident: bib0010 article-title: Supply chain inventory management and the value of shared information publication-title: Management Science – volume: 30 start-page: 69 year: 1984 end-page: 84 ident: bib0017 article-title: Approximations of dynamic, multilocation production and inventory problems publication-title: Management Science – volume: 269 start-page: 955 year: 2018 end-page: 983 ident: bib0027 article-title: A typology and literature review on stochastic multi-echelon inventory models publication-title: European Journal of Operational Research – volume: 31 start-page: 1247 year: 1985 end-page: 1256 ident: bib0018 article-title: A multi-echelon inventory model for a repairable item with one-for-one replenishment publication-title: Management Science – volume: 40 start-page: 245 year: 1993 end-page: 253 ident: bib0002 article-title: Optimization of order-up-to-S policies in two-echelon inventory systems with periodic review publication-title: Naval Research Logistics – reference: Smits, S. R., & de Kok, A. G. (2001). Approximations for the waiting time in (s,nQ)-inventory models for different types of consolidation policies. BETA publicatie: Working papers, No. 67. Eindhoven: Technische Universiteit Eindhoven. – volume: 42 start-page: 1 year: 1996 end-page: 18 ident: bib0019 article-title: A multiechelon inventory model with fixed replenishment intervals publication-title: Management Science – volume: 60 start-page: 92 year: 2012 end-page: 105 ident: bib0030 article-title: Lower bounds and heuristics for supply chain stock allocation publication-title: Operations Research – volume: 38 start-page: 64 year: 1990 end-page: 69 ident: bib0001 article-title: Simple solution procedures for a class of two-echelon inventory problems publication-title: Operations Research – volume: 230 start-page: 515 year: 2013 end-page: 526 ident: bib0008 article-title: Production, manufacturing and logistics: A model for heuristic coordination of real life distribution inventory systems with lumpy demand publication-title: European Journal of Operational Research – volume: 26 start-page: 547 year: 2004 end-page: 577 ident: bib0026 article-title: Evaluation of divergent N-echelon (s, nQ)-policies under compound renewal demand publication-title: OR Spectrum – volume: 35 start-page: 201 year: 1994 end-page: 206 ident: bib0006 article-title: Approximating general multi-echelon inventory systems by Poisson models publication-title: International Journal of Production Economics – volume: 267 start-page: 904 year: 2018 end-page: 916 ident: bib0038 article-title: Sustainable multi-echelon inventory control with shipment consolidation and volume dependent freight costs publication-title: European Journal of Operational Research – volume: 47 start-page: 1306 year: 2001 end-page: 1310 ident: bib0003 article-title: A note on stock replenishment and shipment scheduling for vendor-managed inventory systems publication-title: Management Science – volume: 111 start-page: 75 year: 1998 end-page: 97 ident: bib0015 article-title: Optimal control of a divergent multi-echelon inventory system publication-title: European Journal of Operational Research – volume: 49 start-page: 255 year: 2003 end-page: 272 ident: bib0032 article-title: Replenishment strategies for distribution systems under advance demand information publication-title: Management Science – volume: 63 start-page: 458 year: 2015 end-page: 475 ident: bib0033 article-title: Optimizing reorder intervals for two-echelon distribution systems with stochastic demand publication-title: Operations Research – year: 2015 ident: 10.1016/j.ejor.2019.06.045_bib0005 – volume: 4 start-page: 75 year: 2002 ident: 10.1016/j.ejor.2019.06.045_bib0007 article-title: Heuristic methods for centralized control of one-warehouse, N-retailer inventory systems publication-title: Manufacturing & Service Operations Management doi: 10.1287/msom.4.1.75.291 – volume: 30 start-page: 69 year: 1984 ident: 10.1016/j.ejor.2019.06.045_bib0017 article-title: Approximations of dynamic, multilocation production and inventory problems publication-title: Management Science doi: 10.1287/mnsc.30.1.69 – start-page: 189 year: 2017 ident: 10.1016/j.ejor.2019.06.045_bib0029 article-title: Green inventory management – volume: 42 start-page: 1 year: 1996 ident: 10.1016/j.ejor.2019.06.045_bib0019 article-title: A multiechelon inventory model with fixed replenishment intervals publication-title: Management Science doi: 10.1287/mnsc.42.1.1 – volume: 118 start-page: 275 year: 2009 ident: 10.1016/j.ejor.2019.06.045_bib0024 article-title: A multi-item periodic replenishment policy with full truckloads publication-title: International Journal of Production Economics doi: 10.1016/j.ijpe.2008.08.024 – volume: 269 start-page: 955 year: 2018 ident: 10.1016/j.ejor.2019.06.045_bib0027 article-title: A typology and literature review on stochastic multi-echelon inventory models publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2018.02.047 – volume: 47 start-page: 1306 year: 2001 ident: 10.1016/j.ejor.2019.06.045_bib0003 article-title: A note on stock replenishment and shipment scheduling for vendor-managed inventory systems publication-title: Management Science doi: 10.1287/mnsc.47.9.1306.9782 – volume: 49 start-page: 255 year: 2003 ident: 10.1016/j.ejor.2019.06.045_bib0032 article-title: Replenishment strategies for distribution systems under advance demand information publication-title: Management Science doi: 10.1287/mnsc.49.3.255.12738 – ident: 10.1016/j.ejor.2019.06.045_bib0022 – volume: 16 start-page: 122 year: 1968 ident: 10.1016/j.ejor.2019.06.045_bib0034 article-title: Metric: A multi-echelon technique for recoverable item control publication-title: Operations Research doi: 10.1287/opre.16.1.122 – volume: 19 start-page: 761 year: 1971 ident: 10.1016/j.ejor.2019.06.045_bib0035 article-title: Stationary properties of a two-echelon inventory model for low demand items publication-title: Operations Research doi: 10.1287/opre.19.3.761 – volume: 46 start-page: 1032 year: 2000 ident: 10.1016/j.ejor.2019.06.045_bib0010 article-title: Supply chain inventory management and the value of shared information publication-title: Management Science doi: 10.1287/mnsc.46.8.1032.12029 – volume: 38 start-page: 64 year: 1990 ident: 10.1016/j.ejor.2019.06.045_bib0001 article-title: Simple solution procedures for a class of two-echelon inventory problems publication-title: Operations Research doi: 10.1287/opre.38.1.64 – volume: 135 start-page: 197 year: 2005 ident: 10.1016/j.ejor.2019.06.045_bib0013 article-title: Integrated inventory replenishment and temporal shipment consolidation: a comparison of quantity-based and time-based models publication-title: Annals of Operations Research doi: 10.1007/s10479-005-6241-9 – volume: 111 start-page: 75 year: 1998 ident: 10.1016/j.ejor.2019.06.045_bib0015 article-title: Optimal control of a divergent multi-echelon inventory system publication-title: European Journal of Operational Research doi: 10.1016/S0377-2217(97)00327-5 – volume: 42 start-page: 367 year: 2010 ident: 10.1016/j.ejor.2019.06.045_bib0031 article-title: An analytical model for computing the optimal time-and-quantity-based policy for consolidated shipments publication-title: IIE Transactions doi: 10.1080/07408170903462368 – volume: 37 start-page: 747 year: 2003 ident: 10.1016/j.ejor.2019.06.045_bib0011 article-title: Stochastic models for the dispatch of consolidated shipments publication-title: Transportation Research Part B: Methodological doi: 10.1016/S0191-2615(02)00060-7 – volume: 52 start-page: 3331 year: 2014 ident: 10.1016/j.ejor.2019.06.045_bib0009 article-title: Multi-echelon inventory control: an adjusted normal demand model for implementation in practice publication-title: International Journal of Production Research doi: 10.1080/00207543.2013.873555 – ident: 10.1016/j.ejor.2019.06.045_bib0036 doi: 10.1007/978-3-642-56183-2_22 – volume: 26 start-page: 547 year: 2004 ident: 10.1016/j.ejor.2019.06.045_bib0026 article-title: Evaluation of divergent N-echelon (s, nQ)-policies under compound renewal demand publication-title: OR Spectrum doi: 10.1007/s00291-004-0172-8 – start-page: 525 year: 2003 ident: 10.1016/j.ejor.2019.06.045_bib0004 article-title: Supply chain operations: Serial and distribution inventory systems – volume: 230 start-page: 515 year: 2013 ident: 10.1016/j.ejor.2019.06.045_bib0008 article-title: Production, manufacturing and logistics: A model for heuristic coordination of real life distribution inventory systems with lumpy demand publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2013.04.053 – start-page: 133 year: 1993 ident: 10.1016/j.ejor.2019.06.045_bib0016 article-title: Centralized planning models for multi-echelon inventory systems under uncertainty – volume: 49 start-page: 157 year: 1997 ident: 10.1016/j.ejor.2019.06.045_bib0020 article-title: Stock allocation in general multi-echelon distribution systems with (R,S) order-up-to-policies publication-title: International Journal of Production Economics doi: 10.1016/S0925-5273(97)00005-4 – volume: 211 start-page: 298 year: 2011 ident: 10.1016/j.ejor.2019.06.045_bib0023 article-title: Evaluation of stock allocation policies in a divergent inventory system with shipment consolidation publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2010.11.030 – volume: 63 start-page: 458 year: 2015 ident: 10.1016/j.ejor.2019.06.045_bib0033 article-title: Optimizing reorder intervals for two-echelon distribution systems with stochastic demand publication-title: Operations Research doi: 10.1287/opre.2015.1347 – volume: 46 start-page: 217 year: 2000 ident: 10.1016/j.ejor.2019.06.045_bib0012 article-title: Stock replenishment and shipment scheduling for vendor-managed inventory systems publication-title: Management Science doi: 10.1287/mnsc.46.2.217.11923 – volume: 35 start-page: 201 year: 1994 ident: 10.1016/j.ejor.2019.06.045_bib0006 article-title: Approximating general multi-echelon inventory systems by Poisson models publication-title: International Journal of Production Economics doi: 10.1016/0925-5273(94)90082-5 – volume: 58 start-page: 492 year: 2010 ident: 10.1016/j.ejor.2019.06.045_bib0014 article-title: A power-of-two ordering policy for one-warehouse multiretailer systems with stochastic demand publication-title: Operations Research doi: 10.1287/opre.1090.0707 – volume: 31 start-page: 1247 year: 1985 ident: 10.1016/j.ejor.2019.06.045_bib0018 article-title: A multi-echelon inventory model for a repairable item with one-for-one replenishment publication-title: Management Science doi: 10.1287/mnsc.31.10.1247 – volume: 58 start-page: 59 year: 2011 ident: 10.1016/j.ejor.2019.06.045_bib0028 article-title: Inventory control in divergent supply chains with time-based dispatching and shipment consolidation publication-title: Naval Research Logistics doi: 10.1002/nav.20441 – volume: 89 start-page: 341 year: 1996 ident: 10.1016/j.ejor.2019.06.045_bib0039 article-title: Distribution planning for a divergent depotless two-echelon network under service constraints publication-title: European Journal of Operational Research doi: 10.1016/0377-2217(94)00242-8 – ident: 10.1016/j.ejor.2019.06.045_bib0025 – volume: 95 start-page: 1 year: 1996 ident: 10.1016/j.ejor.2019.06.045_bib0021 article-title: Materials coordination in stochastic multi-echelon systems publication-title: European Journal of Operational Research doi: 10.1016/0377-2217(96)00080-X – volume: 60 start-page: 92 year: 2012 ident: 10.1016/j.ejor.2019.06.045_bib0030 article-title: Lower bounds and heuristics for supply chain stock allocation publication-title: Operations Research doi: 10.1287/opre.1110.1009 – volume: 64 start-page: 906 year: 2016 ident: 10.1016/j.ejor.2019.06.045_bib0037 article-title: Exact analysis of divergent inventory systems with time-based shipment consolidation and compound Poisson demand publication-title: Operations Research doi: 10.1287/opre.2016.1510 – volume: 40 start-page: 245 year: 1993 ident: 10.1016/j.ejor.2019.06.045_bib0002 article-title: Optimization of order-up-to-S policies in two-echelon inventory systems with periodic review publication-title: Naval Research Logistics doi: 10.1002/1520-6750(199303)40:2<245::AID-NAV3220400208>3.0.CO;2-M – volume: 267 start-page: 904 year: 2018 ident: 10.1016/j.ejor.2019.06.045_bib0038 article-title: Sustainable multi-echelon inventory control with shipment consolidation and volume dependent freight costs publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2017.12.029 |
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| Snippet | •Heuristics for controlling one-warehouse-multiple-retailer inventory systems.•Time based shipment consolidation and compound Poisson demand.•Single-item and... We consider a one-warehouse-multiple-retailer inventory system where the retailers face stochastic customer demand, modelled as compound Poisson processes.... |
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| SubjectTerms | Civil Engineering Compound Poisson demand Engineering and Technology Inventory Multi-echelon Samhällsbyggnadsteknik Shipment consolidation Stochastic Teknik Transport Systems and Logistics Transportteknik och logistik |
| Title | Controlling distribution inventory systems with shipment consolidation and compound Poisson demand |
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