Managing cutoff-based shipment promises for order fulfilment processes in warehousing (2024)

Skip Abstract Section

1. Boysen Nde Koster RFüßler DThe forgotten sons: warehousing systems for brick-and-mortar retail chainsEur J Oper Res2021288236138110.1016/j.ejor.2020.04.058Google ScholarCross Ref
2. Boysen Nde Koster RWeidinger FWarehousing in the e-commerce era: a surveyEur J Oper Res2019277239641110.1016/j.ejor.2018.08.023Google ScholarCross Ref
3. Boysen NSchwerdfeger SStephan KA review of synchronization problems in parts-to-picker warehousesEur J Oper Res202330731374139010.1016/j.ejor.2022.09.035Google ScholarCross Ref
4. Ceven EGue KOptimal wave release times for order fulfilment systems with deadlinesTransp Sci2017511526610.1287/trsc.2015.0642Google ScholarDigital Library
5. Chen TLCheng CYChen YYChan LKAn efficient hybrid algorithm for integrated order batching, sequencing and routing problemInt J Prod Econ201515915816710.1016/j.ijpe.2014.09.029Google ScholarCross Ref
6. Chew EPTang LCTravel time analysis for general item location assignment in a rectangular warehouseEur J Oper Res1999112358259710.1016/S0377-2217(97)00416-5Google ScholarCross Ref
7. de Koster RLe-Duc TRoodbergen KJDesign and control of warehouse order picking: a literature reviewEur J Oper Res2007182248150110.1016/j.ejor.2006.07.009Google ScholarCross Ref
8. Doerr KGue KA performance metric and goal-setting procedure for deadline-oriented processesProd Oper Manag201322372673810.1111/j.1937-5956.2012.01375.xGoogle ScholarCross Ref
9. Henn SSchmid VMetaheuristics for order batching and sequencing in manual order picking systemsComput Ind Eng201366233835110.1016/j.cie.2013.07.003Google ScholarDigital Library
10. Kim TYImproving warehouse responsiveness by job priority management: A european distribution centre field studyComput Ind Eng202013910.1016/j.cie.2018.12.011Google ScholarDigital Library
11. Klapp MErera AToriello AThe dynamic dispatch waves problem for same-day deliveryEur J Oper Res2018271251953410.1016/j.ejor.2018.05.032Google ScholarCross Ref
12. Law AMSimulation modelling and analysis20155New YorkMcGraw-Hill EducationGoogle Scholar
13. Le-Duc Tde Koster RMTravel time estimation and order batching in a 2-block warehouseEur J Oper Res2007176137438810.1016/j.ejor.2005.03.052Google ScholarCross Ref
14. MacCarthy BZhang LMuyldermans LBest performance frontiers for buy-online-pickup-in-store order fulfilmentInt J Prod Econ201921125126410.1016/j.ijpe.2019.01.037Google ScholarCross Ref
15. Menéndez BBustillo MPardo EGDuarte AGeneral variable neighbourhood search for the order batching and sequencing problemEur J Oper Res20172631829310.1016/j.ejor.2017.05.001Google ScholarCross Ref
16. Mohring UBaumann MFurmans KDiscrete-time analysis of levelled order release and staffing in order picking systemsLogist Res202010.23773/2020_9Google ScholarCross Ref
17. Schleyer MGue KThroughput time distribution analysis for a one-block warehouseTransport Res Part E Logist Transport Rev201248365266610.1016/j.tre.2011.10.010Google ScholarCross Ref
18. Scholz ASchubert DWäscher GOrder picking with multiple pickers and due dates-simultaneous solution of order batching, batch assignment and sequencing, and picker routing problemsEur J Oper Res2017263246147810.1016/j.ejor.2017.04.038Google ScholarCross Ref
19. Tempelmeier HInventory management in supply networks: problems, models, solutions20112NorderstedtBooks on DemandGoogle Scholar
20. Ulmer MDynamic pricing and routing for same-day deliveryTransport Sci20205441016103310.1287/TRSC.2019.0958Google ScholarDigital Library
21. van Gils TRamaekers KCaris ACools MThe use of time series forecasting in zone order picking systems to predict order pickers’ workloadInt J Prod Res201755216380639310.1080/00207543.2016.1216659Google ScholarCross Ref
22. van Gils TRamaekers KCaris Ade Koster RBDesigning efficient order picking systems by combining planning problems: state-of-the-art classification and reviewEur J Oper Res2018267111510.1016/j.ejor.2017.09.002Google ScholarCross Ref
23. van Nieuwenhuyse Ide Koster RBEvaluating order throughput time in 2-block warehouses with time window batchingInt J Prod Econ2009121265466410.1016/j.ijpe.2009.01.013Google ScholarCross Ref
24. Vanheusden Svan Gils TBraekers KRamaekers KCaris AAnalysing the effectiveness of workload balancing measures in order picking operationsInt J Prod Res20216072126215010.1080/00207543.2021.1884307Google ScholarCross Ref
25. Vanheusden Svan Gils TCaris ARamaekers KBraekers KOperational workload balancing in manual order pickingComput Ind Eng202014110.1016/j.cie.2020.106269Google ScholarDigital Library
26. Voccia SCampbell AThomas BThe same-day delivery problem for online purchasesTransport Sci201953116718410.1287/trsc.2016.0732Google ScholarDigital Library
27. Xu XLiu TLi KDong WEvaluating order throughput time with variable time window batchingInt J Prod Res20145282232224210.1080/00207543.2013.849009Google ScholarCross Ref
28. Yaman HKarasan OEKara BYRelease time scheduling and hub location for next-day deliveryOper Res201260490691710.1287/opre.1120.1065Google ScholarDigital Library
29. Zhang JWang XHuang KIntegrated on-line scheduling of order batching and delivery under B2C e-commerceComput Ind Eng20169428028910.1016/j.cie.2016.02.001Google ScholarDigital Library

• Lot sizing and unequal-sized shipment policy for an integrated production-inventory system

  This article develops a single-manufacturer single-retailer production-inventory model in which the manufacturer delivers the retailer’s ordered quantity in unequal shipments. The manufacturer’s production process is imperfect and it may produce some ...

  Read More

• Uncovering Critical Products in Retail Baskets: A Predictive Modelling Approach to Increase Order Fulfilment

  AIMLSystems '23: Proceedings of the Third International Conference on AI-ML Systems

  Order fulfilment is a key goal for retailers. It is impacted by item unavailability, poor item quality and delivery mishaps. Although the north star is to resolve these challenges completely, in practice, retailers would benefit by prioritizing perfect ...

  Read More

• A B2C e-commerce intelligent system for re-engineering the e-order fulfilment process

  The e-commerce internal order processing flow is streamlined and re-designed.A GA-rule-based system for efficient e-commerce order fulfilment is proposed.An optimal order processing plan is generated by genetic algorithm technique.A system ...

  Read More