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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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Dissertation

Minimising the total travel distance to pick orders on a unidirectional picking line

De Villiers, +1 more
TL;DR: In this paper, the authors considered the SKU-to-Picking Line Assignment Problem (SPLAP) in a distribution center in Durban, South Africa, and presented a number of heuristic and metaheuristic approaches, together with an exact formulation to solve this problem.
Journal ArticleDOI

Order Batching and Routing in a Non-Standard Warehouse

TL;DR: A heuristic solution algorithm based on a fairly general graph model is developed for the retrieval of articles from a warehouse to fulfill customer orders of a large e-commerce business.
Journal ArticleDOI

A travel time model for order picking systems in automated warehouses

TL;DR: In this paper, an order picking problem in a multi-aisle automated warehouse, in which a single storage/retrieval (S/R) machine performs storage and retrieval operations, is addressed.
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Improving Order Picking Efficiency with the Use of Cross Aisles and Storage Policies

TL;DR: This research examines the placement of cross aisles in order picking operations and its effect on various storage policies and showed no difference between even and uneven placement and that within-aisle storage is better than across-aisles and random storage.
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Optimizing the order picking of a scholar and office supplies warehouse

TL;DR: In this article, an optimization approach to the stacker routing problem found in the order picking of a Brazilian scholar and office supplies company is presented. But the application of general approaches to deal with the routing of the warehouse pickers is not straightforward given the specific conditions and configurations and the singular design and operational policies commonly found in practice.
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
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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.