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Routing order pickers in a warehouse with a middle aisle

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TLDR
An algorithm is presented that can find shortest order picking tours in this type of warehouses and it appears that in many cases the average order picking time can be decreased significantly by adding a middle aisle to the layout.
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This article is published in European Journal of Operational Research.The article was published on 2001-08-16 and is currently open access. It has received 309 citations till now. The article focuses on the topics: Aisle & Order picking.

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Citations
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Queuing models to analyze dwell-point and cross-aisle location in autonomous vehicle-based warehouse systems

TL;DR: This work investigates the effect of design decisions such as the choice of vehicle dwell-point and location of cross-aisles using customized analytical models based on multi-class semi-open queuing network theory on the performance of an AVS/RS.
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Order picking problems under weight, fragility and category constraints

TL;DR: This work introduces, model and solve a rich order picking problem under weight, fragility and category constraints, motivated by a real-life application arising in the grocery retail industry, and develops five heuristic methods, including extensions of the classical largest gap, mid-point, S-shape and combined heuristics.
Journal ArticleDOI

Warehouse sequencing in the steel supply chain as a generalized job shop model

TL;DR: To capture all the dynamic situations of the warehousing processes, the problem is formulated as a generalized dynamic job shop sequencing model and a heuristic solution concept for a real warehouse of a steel supply chain is developed.
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Order picking under random and turnover-based storage policies in fishbone aisle warehouses

TL;DR: In this paper, the multi-item order picking problem can be solved in polynomial time for both fishbone and flying-V layouts for single-and dual-command operations.
Journal ArticleDOI

An interventionist strategy for warehouse order picking: Evidence from two case studies

TL;DR: An interventionist order picking strategy that aims to improve the responsiveness of order picking systems and allows a picker to be intervened during a pick cycle to consider new orders and operational disruptions is introduced.
References
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Book

An Algorithm for the Traveling Salesman Problem

TL;DR: A “branch and bound” algorithm is presented for solving the traveling salesman problem, where the set of all tours feasible solutions is broken up into increasingly small subsets by a procedure called branching.
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Order-Picking in a Rectangular Warehouse: A Solvable Case of the Traveling Salesman Problem

TL;DR: This paper addresses the problem of order-picking in a rectangular warehouse that contains crossovers only at the ends of aisles by presenting an algorithm for picking an order in minimum time.
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Distance approximations for routing manual pickers in a warehouse

TL;DR: In this article, the authors evaluate and compare strategies for routing a manual picker through a simple warehouse, by deriving equations which relate route length to warehouse attributes, and several rules of thumb are derived for selection of order picking strategies and optimization of warehouse shape.
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An evaluation of order picking routeing policies

TL;DR: The experimental results clearly indicate that the optimal routeing procedure generates significantly shorter routes than heuristic methods, and the shape of the warehouse and the location of the pick‐up/drop‐off point can affect the picking efficiency.
Journal ArticleDOI

Routing orderpickers in a warehouse: a comparison between optimal and heuristic solutions

TL;DR: In this paper, the problem of finding efficient orderpicking routes for both conventional warehouses, where pickers have a central depot for picking up and depositing carts and pick lists, and modern warehouses where order picking trucks can pick up and deposit pallets at the head of every aisle without returning to the depot is studied.
Related Papers (5)
Frequently Asked Questions (6)
Q1. What have the authors contributed in "Routing order pickers in a warehouse with a middle aisle" ?

This paper considers a parallel aisle warehouse, where order pickers can change aisles at the ends of every aisle and also at a cross aisle halfway along the aisles. An algorithm is presented that can find shortest order picking tours in this type of warehouses. 

In practice, the problem of finding order picking tours in a warehouse is mainly solved by the so-called S-shape heuristic in which order pickers move in a S-shape curve along the pick locations skipping the aisles where nothing has to be picked. 

The small peak for 3 aisles in the curve for the warehouse without cross aisles, is due to the fact that at least one of the aisles has to be entered and left from the same side to ensure that the order picker ends his tour at the front of the warehouse. 

Let Yj be the subgraph of the warehouse graph consisting of vertices bj and cj together with all edges and vertices between bj and cj and define L+yj = L − j ∪ Yj . 

Other order picking activities, like positioning the truck or crane at the pick location, picking items from the pick location and putting them onto a product carrier, have to be performed anyway. 

the algorithm can be used in warehouses with only one or two possibilities for aisle changing, by setting the appropriate distances between the aisles to infinity.