Search results for "Order picking"

showing 3 items of 3 documents

Using a TSP heuristic for routing order pickers in warehouses

2010

In this paper, we deal with the sequencing and routing problem of order pickers in conventional multi-parallel-aisle warehouse systems. For this NP-hard Steiner travelling salesman problem (TSP), exact algorithms only exist for warehouses with at most three cross aisles, while for other warehouse types literature provides a selection of dedicated construction heuristics. We evaluate to what extent reformulating and solving the problem as a classical TSP leads to performance improvements compared to existing dedicated heuristics. We report average savings in route distance of up to 47% when using the LKH (Lin-Kernighan-Helsgaun) TSP heuristic. Additionally, we examine if combining problem-sp…

Mathematical optimizationOrder pickingInformation Systems and ManagementGeneral Computer ScienceEconomicsOrder pickingLogisticsManagement Science and Operations ResearchAisleSteiner tree problemTravelling salesman problemIndustrial and Manufacturing Engineeringsymbols.namesakeLocal search (optimization)WarehousingMathematicsRoutingComputer. AutomationHeuristicbusiness.industryModeling and SimulationsymbolsRouting (electronic design automation)HeuristicsbusinessMathematicsofComputing_DISCRETEMATHEMATICSorder picking routing warehousing logistics
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A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems

2014

A number of intriguing decision scenarios, such as order picking, revolve around partitioning a collection of objects so as to optimize some application specific objective function. In its general form, this problem is referred to as the Object Partitioning Problem (OOP), known to be NP-hard. We here consider a variant of OPP, namely the Stochastic Online Equi-Partitioning Problem (SO-EPP). In SO-EPP, objects arrive sequentially, in pairs. The relationship between the arriving object pairs is stochastic: They belong to the same partition with probability p. From a history of object arrivals, the goal is to predict which objects will appear together in future arrivals. As an additional compl…

Object-oriented programmingOrder pickingCardinalityTheoretical computer scienceComputer scienceHeuristicStochastic processProbabilistic logicBayesian networkObject (computer science)Representation (mathematics)2014 13th International Conference on Machine Learning and Applications
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A combined interval-valued ELECTRE TRI and TOPSIS approach for solving the storage location assignment problem

2019

Abstract Efficiency and effectiveness of logistic activities, in general, and of distribution networks, in particular, are largely influenced by the way warehouses operate as nodes of these networks. In recent years, warehouse management has undergone major changes due to the increase of e-commerce and competition in time-reduction. Despite that, logistic costs of warehouse processes (e.g. receiving, storage, order picking and shipping, etc.) are still often high. Referring to the order picking process, related activities may be optimized by a proper assignment of products to storage locations. In the literature, this problem is known as Storage Location Assignment Problem (SLAP). Due to th…

Order picking021103 operations researchGeneral Computer ScienceOperations researchComputer scienceProcess (engineering)Random assignment0211 other engineering and technologiesGeneral EngineeringTOPSIS02 engineering and technologyInterval (mathematics)Interval valuedWarehouse managementInterval-valued ELECTRE TRI; Interval-valued TOPSIS; Storage location assignment problem; Warehouse managementSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingStorage location assignment problemELECTREAssignment problemInterval-valued TOPSISInterval-valued ELECTRE TRI
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