Ergonomics Improvement in Order Selection in a Refrigerated Environment

Yeow, Paul H.P.; Goomas, David T.

doi:10.1002/hfm.20374

Cited by 20 publications

(10 citation statements)

References 17 publications

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“…In particular, the need to develop studies that focus on picking error reduction is pointed out including, for example, consideration of the precise possible trade-offs between the cost of investment in paperless information technology and the return on investment from reduced picking errors. Furthermore, according to De Koster and Van Der Poort (1998) and Poon et al (2009), paperless order picking systems can be a useful strategy to obtain benefits in an order picking warehouse, as validated also in the case studies of some authors in the literature (Berger and Ludwig, 2007;Reif et al, 2010;Yeow and Goomas, 2012). All these studies have concluded that a possible solution that would reduce picking errors and hence improve picking performances is the adoption of paperless picking technologies.…”

Section: Introductionmentioning

confidence: 81%

A comparative analysis of different paperless picking systems

Battini

Calzavara

Persona

et al. 2015

Industrial Management &Amp; Data Systems

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Purpose – Warehouse picking is often referred to as the most labour-intensive, expensive and time consuming operation in manual warehouses. These factors are becoming even more crucial due to recent trends in manufacturing and warehousing requiring the processing of orders that are always smaller and needed in a shorter time. For this reason, in recent years more efficient and better performing systems have been developed, employing various technological solutions that can support pickers during their work. The purpose of this paper is to introduce a comparison of five paperless picking systems (i.e. barcodes handheld, RFID tags handheld, voice picking, traditional pick-to-light, RFID pick-to-light). Design/methodology/approach – Warehouse picking is often referred to as the most labour-intensive, expensive and time consuming operation in manual warehouses. These factors are becoming even more crucial due to recent trends in manufacturing and warehousing requiring the processing of orders that are always smaller and needed in a shorter time. For this reason, in recent years more efficient and better performing systems have been developed, employing various technological solutions that can support pickers during their work. The present paper introduces a comparison of five paperless picking systems (i.e. barcodes handheld, RFID tags handheld, voice picking, traditional pick-to-light, RFID pick-to-light. Findings – The proposed approach contributes to the understanding of the performance of different technologies in different application fields; some solutions are more suitable for a low-level warehouse, others bring greater benefits in the case of picking from multilevel shelving. Originality/value – The study concerns an issue that until now has received very little attention in the literature. It compares some traditional solutions with some innovative ones by an economic evaluation. The presented hourly cost function also takes into account the different errors arising and their probability of occurrence.

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Section: Introductionmentioning

confidence: 81%

A comparative analysis of different paperless picking systems

Battini

Calzavara

Persona

et al. 2015

Industrial Management &Amp; Data Systems

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“…Seven articles study perceptual aspects in planning problems for manual order picking (Figure 3). Six of these articles consider human information processing in combination with technical equipment such as pick-by-voice, pick-bylight or even the use of augmented reality technologies (Reif and Walch 2008;Reif and Günthner 2009;Reif et al 2010;Schwerdtfeger et al 2011;Yeow and Goomas 2014;Battini et al 2015a) and a single paper introduces a storage assignment strategy that reduces the amount of information a picker needs during handling (Brynzér and Johansson 1996).…”

Section: Perceptual Factormentioning

confidence: 99%

“…The most traditional way of order picking is with the use of paper pick lists (Yeow and Goomas 2014). Such systems are easy to implement in practice and straightforward to use.…”

Section: Perceptual Factormentioning

confidence: 99%

Practical factors in order picking planning: state-of-the-art classification and review

Vanheusden

Gils

Ramaekers

et al. 2022

International Journal of Production Research

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Market trends such as globalisation, increasing customer expectations, expensive industrial land and high labour costs cause a need for efficient order picking systems in practice. However, managers often do not implement findings from academic research on order picking planning into practice because researchers hardly account for practical factors (e.g., high-level storage, human factors, pick vehicle properties) or make unrealistic assumptions in their solution algorithms. A state-of-the-art review of the scientific literature on order picking planning (1) identifies and classifies highly influential practical factors, (2) shows the impact of these practical factors on order picking performance, and (3) illustrates how existing order picking planning models should be elaborated to account for practical factors. This study contributes to close the gap between research and practice by guiding future researchers to further increase the practical applicability of their research results.

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“…The results show that pick by vision outperformed the conventional picking list in terms of picking time and error rate. Yeow and Goomas (2014) studied technology design by comparing the conventional picking list with a wireless handheld scanning system. The perceptual and psychosocial HF aspects of order pickers were examined using visual/audio feedback and order picker satisfaction, performance being measured by productivity, wellbeing, and quality.…”

Section: Design Levelmentioning

confidence: 99%

Framework for incorporating human factors into production and logistics systems

Vijayakumar

Sgarbossa

Neumann

et al. 2021

International Journal of Production Research

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Many companies, despite there being opportunities for automation in production and logistics (P&L) systems, still rely on human workers due to their cognitive and motor skills. Taking Human Factor (HF) aspects into consideration when making P&L system design and management decisions is therefore important, an ignorance of HF potentially resulting in operator fatigue, discomfort, subsequent injuries and negative consequences for operator performance and the P&L system. A review of the literature shows that the majority of studies that take HF into consideration focus either on designing the workplace or on operation planning activities. There is also still a gap in the literature. Little has been published on P&L systems that incorporate HF and that combine different levels of shortterm operational policy decisions (e.g. job allocation) and long-term system characteristic decisions (e.g. layout design). Current state-of-the-art frameworks that support the design and management of P&L systems and that take HF into consideration rarely consider different decision levels. This study proposes a new framework that incorporates HF into P&L systems by combining different levels of decisions to improve performance, quality, and well-being.

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Ergonomics Improvement in Order Selection in a Refrigerated Environment

Cited by 20 publications

References 17 publications

A comparative analysis of different paperless picking systems

A comparative analysis of different paperless picking systems

Practical factors in order picking planning: state-of-the-art classification and review

Framework for incorporating human factors into production and logistics systems

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