A RFID-based storage assignment system for enhancing the efficiency of order picking

2014 ◽  
Vol 28 (1) ◽  
pp. 111-129 ◽  
Author(s):  
K. L. Choy ◽  
G. T. S. Ho ◽  
C. K. H. Lee
Keyword(s):  
Order Picking ◽  
Storage Assignment

scholarly journals Comparison of Lowest-Slot and Nearest-Stack Heuristics for Storage Assignment of Steel Bar Sets

2018 ◽  
Vol 9 (2) ◽  
pp. 37-45
Author(s):  
Jakob Marolt ◽  
Tone Lerher
Keyword(s):  
Information Infrastructure ◽  
Order Picking ◽  
Steel Plant ◽  
Steel Plates ◽  
Stored Products ◽  
Overhead Crane ◽  
Long Run ◽  
Steel Bar ◽  
Storage Assignment ◽  
Steel Coils

Abstract Our research objective is to lower intralogistics costs by minimizing the number of shuffling operations in a steel plant company commercial warehouse. The process of dispatching products consists of retrieving set of steel bar (SSB) from a floor stored stack or a special stacking frame by an overhead crane. To retrieve a targeted merchandise all SSB above targeted must be reshuffled. Proper assignment of storage locations is a key logistics problem for efficient order picking. We are comparing two heuristics, that do not require information of dispatching sequence of any stored products. We simulated the problem at hand with both methods. Our objective is to count the number of reshuffles using each heuristic on randomly generated examples and decide which is better in the long run. Our problem has similarities with storage assignment of steel plates or steel coils for minimization of reshuffling operations. The problem is also comparable to storage assignment of containers in a container yard. In our case we are dealing with a special stacking configuration of products, that demands different approach. We want to demonstrate which heuristic should be used in companies that lack necessary storage information infrastructure.

Optimising the storage assignment and order-picking for the compact drive-in storage system

2019 ◽  
Vol 58 (22) ◽  
pp. 6949-6969
Author(s):  
David Revillot-Narváez ◽  
Francisco Pérez-Galarce ◽  
Eduardo Álvarez-Miranda
Keyword(s):  
Storage System ◽  
Order Picking ◽  
Storage Assignment

scholarly journals Defining a storage-assignment strategy for precedence-constrained order picking

2021 ◽  
Vol 31 (2) ◽  
Author(s):  
Maria A. M. Trindade ◽  
Paulo S. A. Sousa ◽  
Maria R. A. Moreira
Keyword(s):  
Assignment Problem ◽  
Real Life ◽  
Order Picking ◽  
Quadratic Assignment ◽  
Assignment Model ◽  
Storage Assignment ◽  
Storage Location ◽  
Assignment Strategy ◽  
Location Assignment ◽  
The Creation

This paper proposes a zero-one quadratic assignment model for dealing with the storage location assignment problem when there are weight constraints. Our analysis shows that operations can be improved using our model. When comparing the strategy currently used in a real-life company with the designed model, we found that the new placement of products allowed a reduction of up to 22% on the picking distance. This saving is higher than that achieved with the creation of density zones, a procedure commonly used to deal with weight constraints, according to the literature.

An investigation of the effects of storage assignment and picker routing on the occurrence of picker blocking in manual picker-to-parts warehouses

2017 ◽  
Vol 28 (3) ◽  
pp. 841-863 ◽  
Author(s):  
Torsten Franzke ◽  
Eric H. Grosse ◽  
Christoph H. Glock ◽  
Ralf Elbert
Keyword(s):  
Simulation Model ◽  
Order Picking ◽  
Content Type ◽  
Agent Based ◽  
Routing Policy ◽  
Storage Assignment ◽  
Alternative Routing ◽  
Routing Policies ◽  
The Individual ◽  
Picker Blocking

Purpose Order picking is one of the most costly logistics processes in warehouses. As a result, the optimization of order picking processes has received an increased attention in recent years. One potential source for improving order picking is the reduction of picker blocking. The purpose of this paper is to investigate picker blocking under different storage assignment and order picker-route combinations and evaluate its effects on the performance of manual order picking processes. Design/methodology/approach This study develops an agent-based simulation model (ABS) for order picking in a rectangular warehouse. By employing an ABS, we are able to study the behaviour of individual order pickers and their interactions with the environment. Findings The simulation model determines shortest mean throughput times when the same routing policy is assigned to all order pickers. In addition, it evaluates the efficiency of alternative routing policies–storage assignment combinations. Research limitations/implications The paper implies that ABS is well-suited for further investigations in the field of picker blocking, for example, with respect to the individual behaviour of agents. Practical implications Based on the results of this paper, warehouse managers can choose an appropriate routing policy that best matches their storage assignment policy and the number of order pickers employed. Originality/value This paper is the first to comprehensively study the effects of different combinations of order picker routing and storage assignment policies on the occurrence of picker blocking.

Warehousing process performance improvement: a tailored framework for 3PL

2020 ◽  
Vol 26 (6) ◽  
pp. 1619-1641
Author(s):  
Giulia Baruffaldi ◽  
Riccardo Accorsi ◽  
Riccardo Manzini ◽  
Emilio Ferrari
Keyword(s):  
Performance Improvement ◽  
Performance Indicator ◽  
Practical Implication ◽  
Order Picking ◽  
Third Party ◽  
Content Type ◽  
Storage Assignment ◽  
Challenging Environment ◽  
Travelling Time

PurposeThird-party logistic providers (3PLs) continuously strive for controlling and improving their performances to gain a competitive advantage. The challenging environment where they operate is affected by high variety in type and number of clients, the inventory mix and the demand profiles they have to meet. Consequently, better understanding the dynamics of warehousing operations and the characteristics of the inventory mix is critical to handle such a complexity.Design/Methodology/approachThis paper proposes a decision-support framework, suited for 3PL warehouse practitioners, that aids to design and implement effective and affordable activities for measuring and improving the warehousing performances. Such goal is pursued by the framework by leading the managers through an initial mapping and diagnosis of the system, then by developing a tailored measurement system to track the performance, paving the way to the identification of the criticalities and the potential improvement scenarios.FindingsThis paper presents a case study on the implementation of the proposed framework at a warehouse of an Italian 3PL provider to introduce a new storage assignment policy and reduce the travelling time for order picking. Furthermore, the paper exemplifies how the framework contributes to enhance the awareness of managers on warehousing operations and the involvement of the personnel throughout the improvement process.Practical implicationThe proposed framework can be implemented by operations managers of 3PL warehouses who want to pursue general performance improvement projects. With respect to the case study, this framework contributes to identify the storage assignment policy that reduces the travelling for order picking in the observed warehouse of 8 percent in a month but is intended to address to even other areas of improvement in 3PL warehousing environments.Originality/valueInstead of focusing on the proper methods and models that optimize a specific task or performance indicator, it provides a general framework that leads the managers through the decisional process, from the preliminary diagnosis of the system, to its benchmarking, towards the implementation of corrective and improving solutions.

scholarly journals Throughput models for a dual-bay VLM order picking system under different configurations

2019 ◽  
Vol 119 (6) ◽  
pp. 1268-1288 ◽  
Author(s):  
Fabio Sgarbossa ◽  
Martina Calzavara ◽  
Alessandro Persona
Keyword(s):  
Design Methodology ◽  
Real Data ◽  
Order Picking ◽  
Analytical Models ◽  
Accurate Estimation ◽  
Throughput Performance ◽  
Content Type ◽  
Storage Assignment ◽  
Particular Solution ◽  
Vertical Lift

Purpose Vertical lift module (VLM) is a parts-to-picker system for order picking of small products, which are stored into two columns of trays served by a lifting crane. A dual-bay VLM order picking (dual-bay VLM-OP) system is a particular solution where the operator works in parallel with the crane, allowing higher throughput performance. The purpose of this paper is to define models for different operating configurations able to improve the total throughput of the dual-bay VLM-OP system. Design/methodology/approach Analytical models are developed to estimate the throughput of a dual-bay VLM-OP. A deep evaluation has been carried out, considering different storage assignment policies and the sequencing retrieval of trays. Findings A more accurate estimation of the throughput is demonstrated, compared to the application of previous models. Some use guidelines for practitioners and academics are derived from the analysis based on real data. Originality/value Differing from previous contributions, these models include the acceleration/deceleration of the crane and the probability of storage and retrieve of each single tray. This permits to apply these models to different storage assignment policies and to suggest when these policies can be profitably applied. They can also model the sequencing retrieval of trays.

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