Evaluation of reusable cardboard box designs: Biomechanical and perceptual aspects

Silva, Luciana Cristina da Cunha Bueno; Oliveira, Ana Beatriz; Silva, Danilo Corrêa; Paschoarelli, Luís Carlos; Coury, Helenice Jane Cote Gil

doi:10.1016/j.ergon.2012.12.001

Cited by 11 publications

(7 citation statements)

References 38 publications

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“…This handle positioning was associated with the reduction of spinal load due to smaller ranges of flexion, corresponding to a reduction of 4.5 kg of load on the lumbar region. On the other hand, more recent studies [11, 14, 25, 30], which evaluated load on upper limbs, suggested that handle modifications should be made according to the handling height. Handles located at the upper part of the box may create higher demands on upper limbs when the load is placed in higher places.…”

Section: Discussionmentioning

confidence: 99%

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Adding Handles to Optimize Manual Box Handling

Nogueira

Januário

Moreira

et al. 2018

BioMed Research International

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The risk factors for developing musculoskeletal disorders in material handling tasks are well known. Among strategies for controlling risks, modifying boxes by adding handles is suggested. However, there are no clear recommendations regarding box modification as an approach to improve musculoskeletal health. In this study, we investigated the main literature databases to identify effects of box modification on reducing physical load. Electronic and manual searches were performed to identify studies that evaluated effects of boxes handles on physical exposure during handling tasks. The included studies were very heterogeneous (methods of assessment, types of handles used, and methodological quality), jeopardizing synthesis of evidence. Despite the mentioned limitations, we could suggest some features that could improve manual handling in practical settings, like the use of cylindrical handles forms with intermediate diameters (between 31 and 51 mm) and 30° inclination. Those characteristics demonstrated positive results on physical exposure. Regular cut-outs were indicated as a beneficial approach when boxes are handled in high surfaces. When handling occurs in medium heights or in the floor level, handles positioned on the top of the box might bring better results. Efforts to standardize methods are important to support both objective and subjective assessment of box handle design, as well to improve the internal validity of studies.

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Section: Discussionmentioning

confidence: 99%

“…Silva et al [30] demonstrated advantages using cut-out handles as Drury [20] suggested. In palletizing tasks, handles that are outside of the box may hinder the usefulness of storage boxes.…”

Section: Discussionmentioning

confidence: 99%

Adding Handles to Optimize Manual Box Handling

Nogueira

Januário

Moreira

et al. 2018

BioMed Research International

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“…As in the user acceptance questionnaires, a global acceptability item (intention towards use) must be included in the evaluation to serve as a final utility score. Depending on the items defined in the previous step, the questions can be complemented using physiological measurements like electromyography (EMG), galvanic skin response (GSR), electroencephalography (EEG), heart rate (HR), temperature, and respiration rate for example (Silva et al, 2013).…”

Section: Data Collectionmentioning

confidence: 99%

An acceptability estimation and analysis methodology based on Bayesian networks

Garces

Rakotondranaivo

Bonjour

2016

International Journal of Industrial Ergonomics

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As companies are forced to conceive innovative products to stay competitive, designers face the challenge of developing products more suited to users' needs and perceptions in order to be accepted, thus reducing project risk failure. Evaluating users' acceptability has become an important research problem. Current approaches leave the acceptance evaluation question to be answered in the last stages of product development process (NPD), when an almost finished prototype is available and when there is no time left for important modifications. Acceptability evaluation methods suitable for use from the early stages of the NPD process are thus needed. This paper proposes a method for acceptability evaluation and analysis that can be used in the early stages of the development cycle. It is based on the evaluation of the solution concept by the users. The relationships among the factors (or criteria) are made explicit, thus helping designers to identify the key factors for acceptance. As the users' tests and the maturity of the concept prototype are limited in this stage, the proposed method exploits the inference properties of Bayesian networks making it possible to make useful estimations and allowing the exploration of actions that could improve the product acceptability level. Two case studies are presented in order to illustrate the method, the first related to a technological product design for a home-health care service provider and the second to a work-related musculoskeletal disorder prevention software design. Relevance to industry: The article describes an acceptability assessment and an analysis approach to be used by industrial engineers, designers and ergonomists in the early phases of design projects. The method can help the design team to identify the levers (key factors) for enhancing product acceptance and to identify different actions (e.g. product modification, deployment strategy, and training).

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“…To evaluate the criteria, in addition to the questionnaire, some objective measures can be used. They can be collected using physiological measurements like electromyography (EMG), galvanic skin response (GSR), electroencephalography (EEG), heart rate (HR), temperature, and respiration rate that can support the evaluation of the anxiety criterion for example (Silva et al, 2013;Zhou et al, 2011). The advantage of physiological measurements in comparison with cognitive ones (self-reports, questionnaires, etc.)…”

Section: Data Collectionmentioning

confidence: 99%

Improving users’ product acceptability: an approach based on Bayesian networks and a simulated annealing algorithm

Garces

Rakotondranaivo

Bonjour

2016

International Journal of Production Research

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Developing products that are properly suited to users' needs and preferences in order to be accepted is one of the main challenges designers and engineers face constantly. Evaluating and improving users' product acceptability has become an important research question. Many approaches leave the acceptability evaluation question for the last phases of the New Product Development process (NPD), when an almost finished prototype is available and when there is no time left for important modifications. In the early phase of the NPD process, the project managers need models and methods to evaluate the potential acceptability of the new concept and if required, to define actions to improve this concept. In this paper, a method with two main goals is proposed to tackle this problem. Its first goal consists in evaluating an index of users' product acceptability. When this index is too low, the second goal concerns the optimal selection of the most appropriate actions (improvement scenario) to increase this previously assessed index and to optimize the supplementary cost. As information collected from users in the early phase is subject to uncertainty, the proposed method exploits the inference properties of Bayesian networks (BN) making it possible to make useful estimations of the acceptability index. Furthermore, the improvement scenarios are composed of actions that make it possible to improve di↵erent criteria composing the users' acceptability index. The improvement problem is formulated as an optimization problem to be solved by a simulated annealing (SA) algorithm. In order to illustrate its interest, the proposed method is applied to a real case concerning the design of a medical-stocking threading device.

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Evaluation of reusable cardboard box designs: Biomechanical and perceptual aspects

Cited by 11 publications

References 38 publications

Adding Handles to Optimize Manual Box Handling

Adding Handles to Optimize Manual Box Handling

An acceptability estimation and analysis methodology based on Bayesian networks

Improving users’ product acceptability: an approach based on Bayesian networks and a simulated annealing algorithm

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