Class-based Storage Location Assignment: An Overview of the Literature

Bahrami, Behnam; Piri, Hemen; Aghezzaf, El‐Houssaine

doi:10.5220/0007952403900397

Cited by 11 publications

(13 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The random storage policy is popular, thanks to its ease of implementation and ability to adapt in line with demand fluctuations [5]. However, the lack of defined storage locations results in disorganisation, poor use of product information, and increased order-picking times in large warehouses (such as FarmCorp SA's Centurion warehouse) [6].…”

Section: Storage Policiesmentioning

confidence: 99%

Increasing Warehouse Throughput Through the Development of a Dynamic Class-Based Storage Assignment Algorithm

McInerney

Yadavalli²

2022

SAJIE

View full text Add to dashboard Cite

This study investigates the problems faced by an agricultural wholesaler arising from an inefficient random storage assignment policy. Research was conducted on warehouse operations and storage policies. The ABC classification technique was used to create a class-based storage assignment policy. This policy was then input into an algorithm that packs products according to how frequently they are ordered. The aim of the algorithm is to store fast-moving products closest to the shipping area. If this is done, the order picking times would decrease by an average of 3 hours 20 mins per day. This would increase the warehouse’s throughput and profitability. Keywords Storage policy; SLAP; Inventory Management

show abstract

Section: Storage Policiesmentioning

confidence: 99%

Increasing Warehouse Throughput Through the Development of a Dynamic Class-Based Storage Assignment Algorithm

McInerney

Yadavalli²

2022

SAJIE

View full text Add to dashboard Cite

show abstract

“…In terms of warehouse systems and classification of cargo space storage, Azadeh et al and Bahrami et al [9,10] summarized the automatic robot processing system, discussed the storage strategy, and allocated cargo storage location. Ramanathan et al and Rezaei and Dowlatshahi [11,12] considered multiple criteria for inventory classification and proposed a simple classification scheme based on weighted linear optimization.…”

Section: Related Workmentioning

confidence: 99%

A Random Classified-Storage Picking Path Model for V-Type Storage Layout

et al. 2020

View full text Add to dashboard Cite

This paper studies a V-type layout design, establishes the area utilization model of a V-type layout based on big data technology, and verifies the validity of the area model. This paper studies the ABC classification and storage strategy of V-type layout and establishes a random model of return-shape picking paths for V-type layout. By calculating the sum of the expected picking distance in the main channel and the expected picking distance of the subchannel, a mathematical model for return-shape picking paths of the V-type layout is established. By using big data mining technology, this paper simulates a random picking path model and obtains simulated data for cases with multiple orders, providing a theoretical basis for research on random picking path models with a classified-storage strategy using an improved layout.

show abstract

“…"Storage, per se, is not only an important process in a warehouse, also it has the greatest influence on the most expensive one, i.e., order picking" (Bahrami et al, 2019). The Order Picking (OP) system can be grouped basically into two: (1) Parts-to-picker systems and (2) Picker-to-parts systems.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, this work developed a hybrid model to solve the SLAP for a picker-to-parts system and generating key performance indicators (KPIs) in warehouse. According to Bahrami et al (2019), future research should focus on other performance measures, beside economics measures. Thus, three objectives, or KPIs, were considered, that were: (a) storage space used, (b) travel distance, and (c) travel time for retrieval operations.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, Horne et al (2015) argued that "research suggests that one possible key to development may be the growth 3/14 of micro-entrepreneurial firms". Moreover, "application of information systems in warehouse management is a growing tendency" (Bahrami et al, 2019). However, many of these firms suffer with the same pressures as large enterprises for better service levels, without the same economic support and skilled labour, which prevents the acquisition of complete Warehouse Management Systems, for example.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A hybrid approach development to solving the storage location assignment problem in a picker-to-parts system

Fontana

Nepomuceno

Garcez

2020

BJO&PM

View full text Add to dashboard Cite

Goal: This study developed a structured decision model capable of solving the storage location assignment problem (SLAP) in a picker-to-parts system, using multiples key performance indicators (KPIs). Design / Methodology / Approach: A hybrid approach was developed. For that, a Multi-Objective Genetic Algorithm (MOGA) was used considering three fitness functions, but more functions may be considered. Through MOGA it was possible to verify a high number of solutions and reduce it into a Pareto frontier. After that, a Multiple-Criteria Decision-Making (MCDM) approach was used to choose the best solution. Results: This model was able to find viable solutions considering multiples objectives, warehouse restrictions and decision makers' preferences, and the required processing time for the simulated cases was insignificant. Limitations of the investigation: One limitation of this work was the consideration of known and predictable data. Practical implications: The proposed model was developed with the purpose of assisting companies that face this type of problem, providing a solution for SLAP requiring the minimum information and operational actions. Originality / Value: SLAP is a NP (Non-Deterministic Polynomial time) complex problem and, after the MOGA, the number of solution can be still high for the final decision making by the engineering manager (decision maker-DM). Thus, the MOGA-MCDM hybrid approach developed was able incorporate the DM' preferences into a compensatory view, vetoing alternatives that were worse in any of the KPIs, to recommend a final solution.

show abstract

Class-based Storage Location Assignment: An Overview of the Literature

Cited by 11 publications

References 43 publications

Increasing Warehouse Throughput Through the Development of a Dynamic Class-Based Storage Assignment Algorithm

Increasing Warehouse Throughput Through the Development of a Dynamic Class-Based Storage Assignment Algorithm

A Random Classified-Storage Picking Path Model for V-Type Storage Layout

A hybrid approach development to solving the storage location assignment problem in a picker-to-parts system

Contact Info

Product

Resources

About