The forgotten sons: Warehousing systems for brick-and-mortar retail chains

Boysen, Nils; Koster, René de; Füßler, David

doi:10.1016/j.ejor.2020.04.058

Cited by 71 publications

(29 citation statements)

References 134 publications

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“…Warehouse systems differ due to the diversity of existing order characteristics in B&M retailing (Boysen et al, 2021). Detailed reviews on warehousing in general can be found in de Koster et al (2007), Gu et al (2010), and Boysen et al (2021).…”

Section: Manual and Automated Warehouse Systems For Brick-and-mortar ...mentioning

confidence: 99%

“…Warehouses are a necessary component of brick‐and‐mortar (B&M) grocery retailing (Richards, 2021), accounting for 22% of the total logistics costs in the United States (25% in Europe) (Baker & Canessa, 2009). Recent figures indicate that 80% of all orders are processed in manual picker‐to‐parts setups (Boysen et al, 2021). Order picking remains a labor‐intensive task, accounting for more than 50% of warehouse operating costs (de Koster et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Empirical evidence on human learning and work characteristics in the transition to automated order picking

Loske

2022

J of Business Logistics

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Although technological innovation has enabled a new wave of warehouse automation, human involvement remains necessary for most order picking operations in grocery retailing. This has spawned new forms of interaction between humans, machines, and intelligent software, that is, cyber‐sociotechnical systems. However, scant empirical field‐based research has been conducted on how this transition impacts human learning and the perception of work characteristics. Considering that humans are an essential element of these systems, it is fundamentally important to quantify the impact of these transformations when aspiring to improve performance, quality, and workers' well‐being as primary outcomes of order picking systems. This study utilized a mixed‐methods design, developing and applying parametric and non‐parametric approaches to operationalize learning progress, and semi‐structured interviews were conducted to examine perceived work characteristics. The findings indicate that the perception–cognition–motor–action cycle for learning by doing tasks can be accelerated through real‐time feedback provided by the order picking system. Furthermore, perceived work autonomy and feedback from the picking system are constant or perceived as greater when human decisions are accepted. The results have valuable implications for logistics practitioners, emphasizing the need for human‐centered work system design.

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Section: Manual and Automated Warehouse Systems For Brick-and-mortar ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Empirical evidence on human learning and work characteristics in the transition to automated order picking

Loske

2022

J of Business Logistics

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“…Teniendo en cuenta la importancia de el modelo de negocio, múltiples autores han investigado alrededor de este tema, algunos de estos autores son Boysen et al, (2020); Caro et al, (2020); Delage et al, (2020) ;Kang, (2019); Talbot et al, (2020). Viendo este panorama es pertinente hacer una revisión de la bibliografía que permita ver un panorama general del campo de estudio.…”

Section: Retailunclassified

Revisión cienciométrica del retail 1887-2020 : Scientometric review of retail 1887-2020

Chaves¹

2020

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Initially, a selected scientometric review was carried out in the scopus database, the affected analyzed records ranged between 1887 and 2020, resulting in 59039 records, in the second part of the document the results between 2018 and 2020 were analyzed using the data, web of science and the reference, will better understand the role at a global level in general and Colombia at a specific level, they will find that Colombia does not have a leading role in the world concert, however at a national level the research shows growth rates.

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“…The display of goods and the availability of goods, which is supported by the role of the warehouse in retailers, are two factors that attract consumers when purchasing goods in stores [4]. Warehousing, as a location for storing intermediate products stages in the supply chain, plays a critical role in the supply chain [5]. Warehousing activities have a direct impact on all supply chain processes and improvements [1].…”

Section: Introductionmentioning

confidence: 99%

Improving Efficiency for Retail Warehouse Using Data Envelopment Analysis

Kusrini¹,

Prakoso²,

Hidayatuloh³

2022

MMEP

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Warehouse has an important role in supply chain management and has many complex activities that require special attention. This study aims to improve warehouse efficiency performance. Data Envelopment Analysis (DEA) method is employed to obtain the level of efficiency and benchmarking on five indicators, namely financial, productivity, utilization, quality, and cycle time along with five business processes in warehousing, i.e. receiving, put away, storage, order picking, and shipping. The decision making unit is a warehouse in four retailers in Yogyakarta province, in Indonesia. The input and output variables are selected based on the highest priority weight using the Analytical Hierarchy Process (AHP). The most important variable for receiving is productivity (receipt per man-hour), variable for put away is cycle time (put away cycle time), variable for storage is utilization (% location and cube occupied), variable for order picking is cycle time (order picking cycle time) and variable for shipping is productivity (order prepared for shipment per man-hour). The research results show that the benchmarking model with DEA can be used to increase warehouse efficiency performance by up to 22% by increasing receiving and shipping productivity, increasing storage utilization and reducing cycle time at put away and order picking.

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The forgotten sons: Warehousing systems for brick-and-mortar retail chains

Cited by 71 publications

References 134 publications

Empirical evidence on human learning and work characteristics in the transition to automated order picking

Empirical evidence on human learning and work characteristics in the transition to automated order picking

Revisión cienciométrica del retail 1887-2020 : Scientometric review of retail 1887-2020

Improving Efficiency for Retail Warehouse Using Data Envelopment Analysis

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