Human factors in order picking: a content analysis of the literature

2016 ◽  
Vol 55 (5) ◽  
pp. 1260-1276 ◽  
Author(s):  
Eric H. Grosse ◽  
Christoph H. Glock ◽  
W. Patrick Neumann
2015 ◽  
Vol 48 (3) ◽  
pp. 320-325 ◽  
Author(s):  
Eric H. Grosse ◽  
Christoph H. Glock ◽  
W. Patrick Neumann

2019 ◽  
Vol 28 (3) ◽  
pp. 344-355
Author(s):  
Xiaosong Zhao ◽  
Na Liu ◽  
Shumeng Zhao ◽  
Jinhui Wu ◽  
Kun Zhang ◽  
...  

Author(s):  
David Meister

One way to examine the progress of the Human Factors discipline is to perform a content analysis of the programs of the Society's early annual meetings. The period covered is 1959-1972, after which proceedings were published. The results of the analysis shows that interest in some research topics ebbs and flows, whereas other interests remain relatively stable.


Author(s):  
Sally M. Cohen ◽  
Michael D. Gravelle ◽  
Karen S. Wilson ◽  
Ann M. Bisantz

This paper describes a novel use of interview and focus group data to generate and substantiate hypotheses about a complex environment. In addition, it shows how MacSHAPA, a tool developed for analyzing sequential data, is a useful tool for analyzing these data. Although interviews and focus groups have been used extensively in social science and marketing, there are few examples documenting the use of these techniques in user-centered design. Furthermore, MacSHAPA has not been used to perform content analysis on interview and focus group data. In this paper, interviews and focus groups were collected as part of a larger study to understand human factors issues in quick service restaurant chains. These data were analyzed using MacSHAPA to perform content analysis. The results generated hypotheses that were validated by other data collection activities, and substantiated hypotheses that were derived by other analyses. The shortcomings and tradeoffs of using this analysis method for a human factors investigation are discussed.


2014 ◽  
Vol 156 (A3) ◽  

Research shows that more than 80% of accidents at sea were caused by human related factors. Some experts implied that less than adequate design is one significant element that may lead to human errors. There are several ways to discover whether a design has considered human factors, i.e., to refer to the design specification, to consult the designers, to conduct a direct observation through a site visit or through a model, to interview the users, or to look into the system that regulates the design. This paper applied a content analysis methodology to explore how human factors have been covered in the design of marine systems. Various documents such as rules, regulations, design guidelines, standards and other texts have been analysed. The results indicate that there are extensive references that cover human factors in designing ships. They are published with different degrees of enforcement, some are prescriptive and some are obligatory but still optional. The topic is developing very rapidly. A more assertive measure is required from the regulators to endorse human factors into implementation.


Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 32
Author(s):  
Wim Lambrechts ◽  
Jessica S. Klaver ◽  
Lennart Koudijzer ◽  
Janjaap Semeijn

Order picking is a logistics component of warehouse operations where substantial productivity gains are possible. In this study, we investigate implementation processes of collaborative order picking robots (cobots) and focus on the influence of human factors on their implementation in high volume distribution centres. These human factors are: resistance to change; organisational culture; communication on change; and leadership. Four case companies were selected that have experience with testing and introducing several types of cobot and have successfully implemented (at least) one type of cobot over an extended period. In-depth interviews with operational decision-makers led to the identification of 66 critical incidents related to human factors. The results demonstrate the importance of planning the implementation process in phases. Employees are hesitant or resistant to the change due to a lack of information, experience, and communication. The decisive role of the team leader is crucial to implement cobots successfully, and here the individual character traits (e.g., the variance in commitment, character, and motivation) influence the process as well. Although the introduction of cobots is not yet widespread, and the negative impact on the workforce (i.e., concerning job loss) is currently low, one should be aware of the possible future implications when robotisation becomes structurally embedded. Therefore, this article calls for a stronger link between human factors and the future of work, with a specific focus on reskilling and upskilling of logistics professionals in light of robotisation, rather than binary approaches in which robots are primarily seen as a threat to the current workforce.


2021 ◽  
Vol 10 (2) ◽  
pp. 448-465
Author(s):  
Farizha Ibrahim ◽  
Mohd Norsyarizad Razali ◽  
Noh Zainal Abidin

Human-related factors account for more than 80% of accidents at sea, based on studies. According to Global Claims Review 2017 released by Allianz Global Corporate & Specialty, an estimated 75-96% of shipping accidents have a high probability of involving human error (AGCS, 2017). Designs that do not meet human factors' needs play a significant role in contributing to human error. Documents in terms of design standards and guidelines, rules, and laws are analyzed. As a result, several documents related to human factors have been identified. These documents are based on whether to implement it, even if some are prescriptive, and others are mandatory, being published at different enforcement levels. In ensuring the consistent implementation of human factors, regulators and authorities need to take stricter measures in all the processes involved in designing and building such ships.


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