Design of warehousing system in order picking process: literature review

Melinda, Tiara; Nazaruddin, Nazaruddin; Ginting, Rosnani

doi:10.1088/1757-899x/801/1/012126

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…In summary, the article emphasized the significance of optimizing storage assignments in FRMFS and highlighted the efficacy of the AGA in addressing this issue. Melinda and Ginting [3] highlighted the warehouse's crucial role in the broader supply chain, emphasizing the pivotal significance of the order picking process within warehouse operations. The paper proposed utilizing the Genetic Algorithm method to improve the order picking process by considering variables such as travel time, search time, pick time, setup time, number of workers, and worker efficiency.…”

Section: A Order Assignment-ga Relatedmentioning

confidence: 99%

“…In practical terms, order picking is the most costly process and should be Figure 1: The entire map of order picking process executed with precision and efficiency. As the preparation for several customer orders is increasing, every order is anticipated to sort up at a minimum cost, it is then considered order assignment as one of the tools to minimize the sorting up efforts and as well as costs [3].…”

Section: Introductionmentioning

confidence: 99%

“…They operate on entire populations of data, generating solution populations instead of a singular solution. Ongoing efforts by researchers involve the creation of novel variants and enhancements to the fundamental GA algorithm [3].…”

Section: Introductionmentioning

confidence: 99%

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Hybrid Genetic Algorithms for Order Assignment and Batching in Picking System: A Systematic Literature Review

Ou,

Ismail,

Sariff

2024

IEEE Access

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The Order-Picking System (OPS) is vital for inbound logistics, ensuring efficient customer order fulfillment and minimizing costs. Efficient execution and implementation of OPS are critical to meeting customer demands and reducing dissatisfaction, necessitating a thorough examination of the process of order picking features. The order picking, a cornerstone of warehouse operations, involves meticulous selection and gathering of items from designated storage locations, unfolding through stages like order assignment and order batching. In order assignment, specific orders are methodically delegated to pickers or teams, considering factors like urgency, order size, item location, and picker availability. The overarching goal is to optimize resource utilization and simultaneously reduce the time needed for order fulfillment, ensuring a streamlined and efficient approach. Conversely, order batching strategically groups multiple orders for concurrent picking, aiming to minimize trips and enhance overall efficiency and productivity. Throughout the order-picking process, pickers utilize tools like pick lists, barcode scanners, and automated storage and retrieval systems (AS/RS) for precise item location and retrieval. Post-collection, items are transported to a dedicated packing area for meticulous preparations before shipping to the customer. Orchestrating the order-picking process requires careful planning, coordination, and execution for punctual and precise customer order fulfillment. This paper highlighted a systematic reviewing process which analyzed relevant research papers, with a primary focus on the problems of order assignment and batching-a key area within the order-picking process. The objective was to provide a comprehensive overview of hybrid Genetic Algorithm solutions for these challenges, achieved through a systematic review from 2018 to 2023 using Web of Science and Scopus databases. After screening, the relevant references were selected, focusing on terms like storage assignment problems. A thorough examination delved into various subcategories, encompassing recent approaches of genetic algorithms and openly accessible datasets. The resulting review offers a concise summary, highlighting key findings, challenges, and potential directions associated with hybrid genetic algorithms, specifically in relation to storage assignment, storage location assignment problems, and order batching issues.INDEX TERMS Order picking system, order assignment, order batching, hybrid genetic algorithms, systematic literature review

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Section: A Order Assignment-ga Relatedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hybrid Genetic Algorithms for Order Assignment and Batching in Picking System: A Systematic Literature Review

Ou,

Ismail,

Sariff

2024

IEEE Access

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Trends and new practical applications for warehouse allocation and layout design: a literature review

Albert,

Rönnqvist,

Lehoux

2023

SN Appl. Sci.

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Companies’ productivity is critical in contemporary warehouse environment to maintain efficiency and competitiveness within their supply chain. Warehousing operations are well known for their impact on the overall supply chain and need to be wisely managed. Among those activities, allocation planning and layout design are some of the most important concepts in practice. Current research tends to emphasize homogeneous environment, which leaves heterogeneous and non-standard cases with less attention, even today. This paper aims to review the literature regarding warehouse allocation planning and layout design methods that could suit practical industry problems, with a focus on heterogeneous and non-standard spare parts. It also aims to describe the current trends in these fields. Following a literature review methodology, a total of fifty-seven articles were reviewed to identify the methods developed and used. The reviewed papers were also investigated in order to identify research gaps and future directions. The analysis concluded that more research is needed to better understand and optimize heterogeneous and non-standard spare parts environments in terms of allocation and layout design. More practical case applications also remain a gap to address. Article highlights This article evaluates 8 concepts/parameters related to warehouse allocation operation. This is to ensure a deep analysis of heterogeneous and non-standard parts presence in literature. A research gap is identified regarding heterogeneous and non-standard parts in warehouse allocation and layout design methods in the scientific literature. This article evaluates 3798 scientific papers over a 20-year timeframe. From this, we present 57 methods and 8 gaps in scientific literature.

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Design of warehousing system in order picking process: literature review

Cited by 2 publications

References 4 publications

Hybrid Genetic Algorithms for Order Assignment and Batching in Picking System: A Systematic Literature Review

Hybrid Genetic Algorithms for Order Assignment and Batching in Picking System: A Systematic Literature Review

Trends and new practical applications for warehouse allocation and layout design: a literature review

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