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Dr. Tânia Lima
Department of Electromechanical Engineering, University of Beira Interior, Calçada Fonte do Lameiro, 6200-358 Covilhã, Portugal

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Research Keywords & Expertise

0 Industry 4.0
0 Decision Support Systems
0 Industrial safety and health
0 ergonomics and human factors
0 Quality management systems

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Industry 4.0
Decision Support Systems

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Journal article
Published: 29 May 2021 in Applied Sciences
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In recent years, deep learning algorithms have been successfully applied in the development of decision support systems in various aspects of agriculture, such as yield estimation, crop diseases, weed detection, etc. Agriculture is the largest consumer of freshwater. Due to challenges such as lack of natural resources and climate change, an efficient decision support system for irrigation is crucial. Evapotranspiration and soil water content are the most critical factors in irrigation scheduling. In this paper, the ability of Long Short-Term Memory (LSTM) and Bidirectional LSTM (BLSTM) to model daily reference evapotranspiration and soil water content is investigated. The application of these techniques to predict these parameters was tested for three sites in Portugal. A single-layer BLSTM with 512 nodes was selected. Bayesian optimization was used to determine the hyperparameters, such as learning rate, decay, batch size, and dropout size.The model achieved the values of mean square error values within the range of 0.014 to 0.056 and R2 ranging from 0.96 to 0.98. A Convolutional Neural Network (CNN) model was added to the LSTM to investigate potential performance improvement. Performance dropped in all datasets due to the complexity of the model. The performance of the models was also compared with CNN, traditional machine learning algorithms Support Vector Regression, and Random Forest. LSTM achieved the best performance. Finally, the impact of the loss function on the performance of the proposed models was investigated. The model with the mean square error as loss function performed better than the model with other loss functions.

ACS Style

Khadijeh Alibabaei; Pedro Gaspar; Tânia Lima. Modeling Soil Water Content and Reference Evapotranspiration from Climate Data Using Deep Learning Method. Applied Sciences 2021, 11, 5029 .

AMA Style

Khadijeh Alibabaei, Pedro Gaspar, Tânia Lima. Modeling Soil Water Content and Reference Evapotranspiration from Climate Data Using Deep Learning Method. Applied Sciences. 2021; 11 (11):5029.

Chicago/Turabian Style

Khadijeh Alibabaei; Pedro Gaspar; Tânia Lima. 2021. "Modeling Soil Water Content and Reference Evapotranspiration from Climate Data Using Deep Learning Method." Applied Sciences 11, no. 11: 5029.

Journal article
Published: 22 May 2021 in Energies
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Deep learning has already been successfully used in the development of decision support systems in various domains. Therefore, there is an incentive to apply it in other important domains such as agriculture. Fertilizers, electricity, chemicals, human labor, and water are the components of total energy consumption in agriculture. Yield estimates are critical for food security, crop management, irrigation scheduling, and estimating labor requirements for harvesting and storage. Therefore, estimating product yield can reduce energy consumption. Two deep learning models, Long Short-Term Memory and Gated Recurrent Units, have been developed for the analysis of time-series data such as agricultural datasets. In this paper, the capabilities of these models and their extensions, called Bidirectional Long Short-Term Memory and Bidirectional Gated Recurrent Units, to predict end-of-season yields are investigated. The models use historical data, including climate data, irrigation scheduling, and soil water content, to estimate end-of-season yield. The application of this technique was tested for tomato and potato yields at a site in Portugal. The Bidirectional Long Short-Term memory outperformed the Gated Recurrent Units network, the Long Short-Term Memory, and the Bidirectional Gated Recurrent Units network on the validation dataset. The model was able to capture the nonlinear relationship between irrigation amount, climate data, and soil water content and predict yield with an MSE of 0.017 to 0.039. The performance of the Bidirectional Long Short-Term Memory in the test was compared with the most commonly used deep learning method, the Convolutional Neural Network, and machine learning methods including a Multi-Layer Perceptrons model and Random Forest Regression. The Bidirectional Long Short-Term Memory outperformed the other models with an R2 score between 0.97 and 0.99. The results show that analyzing agricultural data with the Long Short-Term Memory model improves the performance of the model in terms of accuracy. The Convolutional Neural Network model achieved the second-best performance. Therefore, the deep learning model has a remarkable ability to predict the yield at the end of the season.

ACS Style

Khadijeh Alibabaei; Pedro Gaspar; Tânia Lima. Crop Yield Estimation Using Deep Learning Based on Climate Big Data and Irrigation Scheduling. Energies 2021, 14, 3004 .

AMA Style

Khadijeh Alibabaei, Pedro Gaspar, Tânia Lima. Crop Yield Estimation Using Deep Learning Based on Climate Big Data and Irrigation Scheduling. Energies. 2021; 14 (11):3004.

Chicago/Turabian Style

Khadijeh Alibabaei; Pedro Gaspar; Tânia Lima. 2021. "Crop Yield Estimation Using Deep Learning Based on Climate Big Data and Irrigation Scheduling." Energies 14, no. 11: 3004.

Articles
Published: 25 February 2021 in International Journal of Occupational Safety and Ergonomics
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Introduction. The study assessed musculoskeletal complaints (MSCs) in administrative workers, associating MSCs with non-paid housework, home use of electronic devices and physical exercise, while keeping a distinctive gender approach. This may promote the development of more effective preventive measures, by meeting the specific strengths and weaknesses of each gender. Method. 96 administrative workers (58 women and 38 men) who used computers more than 50% of their working time participated in a cross-sectional study. A questionnaire concerning individual socio-demographic data, habits and lifestyle, and including the Nordic Musculoskeletal Questionnaire (NMQ), was deployed. Gender based odd ratios for MSCs in body areas over the previous 12 months and correlation coefficients between habits and lifestyle variables and NMQ variables were computed. Results. Women did not incur a higher risk of MSC than men. Analysis of association did not yield meaningful associations for either gender. Results suggest giving future consideration to development of a gender specific preventive measures. Conclusion. Computerized work performed concomitantly with physical exposures outside the workplace, showed mixed associations with MSCs, according to gender and depending on kind of exposure. Results are indicative of the need for development of gender specific preventive measures.

ACS Style

Tânia M. Lima; Denis A. Coelho. Gender differences in associating musculoskeletal complaints, housework, electronic device usage and physical exercise for administrative workers. International Journal of Occupational Safety and Ergonomics 2021, 1 -9.

AMA Style

Tânia M. Lima, Denis A. Coelho. Gender differences in associating musculoskeletal complaints, housework, electronic device usage and physical exercise for administrative workers. International Journal of Occupational Safety and Ergonomics. 2021; ():1-9.

Chicago/Turabian Style

Tânia M. Lima; Denis A. Coelho. 2021. "Gender differences in associating musculoskeletal complaints, housework, electronic device usage and physical exercise for administrative workers." International Journal of Occupational Safety and Ergonomics , no. : 1-9.

Journal article
Published: 03 December 2020 in Applied System Innovation
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Cognitive manufacturing utilizes cognitive computing, the industrial Internet of things (IoT), and advanced analytics to upgrade manufacturing processes in manners that were not previously conceivable. It enables associations to improve major business measurements, for example, productivity, product reliability, quality, and safety, while decreasing downtime and lowering costs. Considering all the facts that can prejudice the manufacturing performance in Industry 4.0, the cognitive load has received more attention, since it was previously neglected with respect to manufacturing industries. This paper aims to investigate what causes cognitive load reduction in manufacturing environments, i.e., human–computer interaction technologies that reduce the identified causes and the applications of cognitive manufacturing that use the referred technologies. Thus, a conceptual framework that links cognitive manufacturing to a reduction of the cognitive load was developed.

ACS Style

Adriana Ventura Carvalho; Amal Chouchene; Tânia M. Lima; Fernando Charrua-Santos. Cognitive Manufacturing in Industry 4.0 toward Cognitive Load Reduction: A Conceptual Framework. Applied System Innovation 2020, 3, 55 .

AMA Style

Adriana Ventura Carvalho, Amal Chouchene, Tânia M. Lima, Fernando Charrua-Santos. Cognitive Manufacturing in Industry 4.0 toward Cognitive Load Reduction: A Conceptual Framework. Applied System Innovation. 2020; 3 (4):55.

Chicago/Turabian Style

Adriana Ventura Carvalho; Amal Chouchene; Tânia M. Lima; Fernando Charrua-Santos. 2020. "Cognitive Manufacturing in Industry 4.0 toward Cognitive Load Reduction: A Conceptual Framework." Applied System Innovation 3, no. 4: 55.

Conference paper
Published: 01 November 2020 in ICERI2020 Proceedings
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ACS Style

Ana Paula Braga Garcez; Ricardo Silva; Tânia Daniela Felgueiras Miranda Lima; Fernando Manuel Bigares Charrua Santos; Gerardo J. Osório; Mário José Batista Franco. BECOME AN ENTREPRENEUR: THE SKILL NEEDS OF LABOUR MARKET. ICERI2020 Proceedings 2020, 471 -478.

AMA Style

Ana Paula Braga Garcez, Ricardo Silva, Tânia Daniela Felgueiras Miranda Lima, Fernando Manuel Bigares Charrua Santos, Gerardo J. Osório, Mário José Batista Franco. BECOME AN ENTREPRENEUR: THE SKILL NEEDS OF LABOUR MARKET. ICERI2020 Proceedings. 2020; ():471-478.

Chicago/Turabian Style

Ana Paula Braga Garcez; Ricardo Silva; Tânia Daniela Felgueiras Miranda Lima; Fernando Manuel Bigares Charrua Santos; Gerardo J. Osório; Mário José Batista Franco. 2020. "BECOME AN ENTREPRENEUR: THE SKILL NEEDS OF LABOUR MARKET." ICERI2020 Proceedings , no. : 471-478.

Journal article
Published: 12 September 2020 in Journal of Cleaner Production
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There are numerous methodologies to measure sustainability, but there are few models on Energy Sustainability (ES) that focus on the proper use of energy sources. This manuscript aims to present the ESUI (Energy Sustainability Universal Index) framework for power generation. The method development consisted of four stages: (i) A survey of the State-of-the-Art to choose the dimensions and variables; (ii) The definition of “damage” concept to incorporate subjective values; (iii) Validation of the found variables through the analysis of 34 electric power plants randomly chosen and tested; and (iv) The mathematical model. From the analyzed power plants through the proposed model, as an example, the Itaipu Binacional Hydroelectric Power Plant is 42% sustainable with an emphasis in the Political-Territorial dimension, while Trillo Nuclear Power Plant is not economically sustainable. The main contributions of the proposed ESUI framework are the classification and evaluation of ES in five dimensions (Environmental, Economic, Social-Cultural, Political-Territorial, and Technological) through a simple process, helping in the management of the decision-making process, accounting simultaneously for subjective aspects and incorporating weighting factors according to the user’s expert opinion.

ACS Style

Ricardo M. Silva; Ana R.C. Silva; Tânia M. Lima; Fernando Charrua-Santos; Gerardo J. Osório. Energy Sustainability Universal Index (ESUI): A proposed framework applied to the decision-making evaluation in power system generation. Journal of Cleaner Production 2020, 275, 124167 .

AMA Style

Ricardo M. Silva, Ana R.C. Silva, Tânia M. Lima, Fernando Charrua-Santos, Gerardo J. Osório. Energy Sustainability Universal Index (ESUI): A proposed framework applied to the decision-making evaluation in power system generation. Journal of Cleaner Production. 2020; 275 ():124167.

Chicago/Turabian Style

Ricardo M. Silva; Ana R.C. Silva; Tânia M. Lima; Fernando Charrua-Santos; Gerardo J. Osório. 2020. "Energy Sustainability Universal Index (ESUI): A proposed framework applied to the decision-making evaluation in power system generation." Journal of Cleaner Production 275, no. : 124167.

Chapter
Published: 21 February 2020 in Developments in Advanced Control and Intelligent Automation for Complex Systems
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The Agri-food Industry is the largest Portuguese Industry, constituted mainly by micro, small and medium enterprises (MSMEs). Occupational Safety and Health (OSH) conditions in an agri-food MSME have its own characteristics depending on the specific food sector. This condition makes the prevention strategies implementation difficult and heightens the problematic of work accidents. In this chapter are described online and offline free computational tools developed to perform OSH risks assessment in the dairy, meat processing, bakery and horticultural subsectors. The tools provide a simple and expedite diagnostic of occupational hazards and risks. Depending on the input data, the tools output identifies successful practices and easy-to-implement solutions for occupational risk prevention. These computational tools aim to empower Portuguese agri-food SMEs to implement innovative OSH management practices in order to prevent work accidents.

ACS Style

Pedro D. Gaspar; Tânia M. Lima. OSH Empowerment of Portuguese Agri-food MSMEs Through the Application of Computational Tools of Risks Assessment. Developments in Advanced Control and Intelligent Automation for Complex Systems 2020, 755 -763.

AMA Style

Pedro D. Gaspar, Tânia M. Lima. OSH Empowerment of Portuguese Agri-food MSMEs Through the Application of Computational Tools of Risks Assessment. Developments in Advanced Control and Intelligent Automation for Complex Systems. 2020; ():755-763.

Chicago/Turabian Style

Pedro D. Gaspar; Tânia M. Lima. 2020. "OSH Empowerment of Portuguese Agri-food MSMEs Through the Application of Computational Tools of Risks Assessment." Developments in Advanced Control and Intelligent Automation for Complex Systems , no. : 755-763.

Conference paper
Published: 01 February 2020 in 2020 9th International Conference on Industrial Technology and Management (ICITM)
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The goal of most companies is to increase the productivity minimizing the resources' usage. In this sense, Lean Production (LP) is one of the major concepts in the creation of highly efficient processes since the early 1990s, having successfully challenged conventional mass-production practices, reducing non-value-added activities, and delivering quality products focused on customers' satisfaction. Nonetheless, with the latest technologies changes and markets requirements, companies have to led with the emergence of innovative management and production methodologies in order to achieve the necessary flexibility to survive in highly competitive environments. The Fourth Industrial Revolution and the related Industry 4.0 technologies are driving the current manufacturing systems to a new level of organizational development. This manuscript focuses on the work that has been developed by the Group of Industrial Engineering and Management (GIEM) from University of Beira Interior, Portugal, aiming to fill the gap in the broad body of knowledge fields related with operation and management. The theoretical background of LP is summarized, followed by a survey conducted in 87 manufacturing companies located in Angola. Then, an Industry 4.0 overview highlights are summarized. Lastly, it is explored how LP and Industry 4.0 integration can contribute to increasing the desirable flexibility and productivity. Although the results are in progress, so far, it is suggested that the implementation of LP and Industry 4.0 concepts in Angola are not being uniformed in terms of companies' size and geography, which is in line with the available literature.

ACS Style

Fernando Charrua-Santos; Beatrice P. Santos; Daisy V. Enrique; Agostinho Alberto; Henrique Bibete; Gerardo J. Osorio; Tânia Lima. An Overview of Lean Production and Industry 4.0 in Different Context. 2020 9th International Conference on Industrial Technology and Management (ICITM) 2020, 69 -72.

AMA Style

Fernando Charrua-Santos, Beatrice P. Santos, Daisy V. Enrique, Agostinho Alberto, Henrique Bibete, Gerardo J. Osorio, Tânia Lima. An Overview of Lean Production and Industry 4.0 in Different Context. 2020 9th International Conference on Industrial Technology and Management (ICITM). 2020; ():69-72.

Chicago/Turabian Style

Fernando Charrua-Santos; Beatrice P. Santos; Daisy V. Enrique; Agostinho Alberto; Henrique Bibete; Gerardo J. Osorio; Tânia Lima. 2020. "An Overview of Lean Production and Industry 4.0 in Different Context." 2020 9th International Conference on Industrial Technology and Management (ICITM) , no. : 69-72.

Conference paper
Published: 01 February 2020 in 2020 9th International Conference on Industrial Technology and Management (ICITM)
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Inspection has been always a topic of interest in the industrial environment. Indeed, the inspection process is particularly very essential for controlling the quality of the finished products. Within this context, in this work is proposed an automated artificial vision system in order to control the non-conformities in vehicles. In fact, the main idea of the proposed system resides in the adoption of the Artificial Intelligence (AI), in order to identify automatically the defects, while supporting at the same time the concept of a smart industry 4.0. Moreover, some works, which rely on AI for quality control inspection in smart industries, are briefly reviewed in this paper, in order to highlight the issues of Visual Inspection (VI) as well as to prove the effectiveness of the AI in industries, notably those related to vehicle manufacturing.

ACS Style

Amal Chouchene; Adriana Carvalho; Tânia Lima; Fernando Charrua-Santos; Gerardo J. Osorio; Walid Barhoumi. Artificial Intelligence for Product Quality Inspection toward Smart Industries: Quality Control of Vehicle Non-Conformities. 2020 9th International Conference on Industrial Technology and Management (ICITM) 2020, 127 -131.

AMA Style

Amal Chouchene, Adriana Carvalho, Tânia Lima, Fernando Charrua-Santos, Gerardo J. Osorio, Walid Barhoumi. Artificial Intelligence for Product Quality Inspection toward Smart Industries: Quality Control of Vehicle Non-Conformities. 2020 9th International Conference on Industrial Technology and Management (ICITM). 2020; ():127-131.

Chicago/Turabian Style

Amal Chouchene; Adriana Carvalho; Tânia Lima; Fernando Charrua-Santos; Gerardo J. Osorio; Walid Barhoumi. 2020. "Artificial Intelligence for Product Quality Inspection toward Smart Industries: Quality Control of Vehicle Non-Conformities." 2020 9th International Conference on Industrial Technology and Management (ICITM) , no. : 127-131.

Journal article
Published: 30 January 2020 in International Journal of Recent Technology and Engineering
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Industry 4.0 promises to revolutionize industrial production with increased operational efficiency, the development of new business models, services and products. It enables real-time production planning and dynamic optimization in contrast to conventional forecast. The tools and technological advances developed by Industry 4.0 will have a significant role to improving the quality of life in society in order to enable a happier, motivated, and satisfied and with more time for leisure. As a consequence, it will increase productivity and the mankind will choose the direction and the kind of society we want to create in the future to promote equal wealth distribution. As consequence of Industry 4.0 emerges Society 5.0, beginning in Japan, due to the concern of the ageing population. Society 5.0 focuses on the use of tools and technologies developed by Industry 4.0 to benefit the humankind. Intelligent systems, developed by Industry 4.0, could be seen by society as a beneficial rather than as adversaries. Future society could benefit from advanced technology in solving problems and economically. Society 5.0 has a special focus to position the human being at the centre of innovation, technological transformation and industrial automation, stimulated by Industry 4.0. This new Society 5.0 paradigm will play a predominant role in creating a happier, satisfied, fulfilled and consequently more productive society. Society 5.0, also called the super intelligent society, intends to use advanced technology of Industry 4.0 for enjoyment of humankind, in order to promote an interconnection between people and systems in cyberspace with optimization of results by artificial intelligence.

ACS Style

Andreia G. Pereira; Tânia Lima; Fernando Charrua-Santos. Industry 4.0 and Society 5.0: Opportunities and Threats. International Journal of Recent Technology and Engineering 2020, 8, 3305 -3308.

AMA Style

Andreia G. Pereira, Tânia Lima, Fernando Charrua-Santos. Industry 4.0 and Society 5.0: Opportunities and Threats. International Journal of Recent Technology and Engineering. 2020; 8 (5):3305-3308.

Chicago/Turabian Style

Andreia G. Pereira; Tânia Lima; Fernando Charrua-Santos. 2020. "Industry 4.0 and Society 5.0: Opportunities and Threats." International Journal of Recent Technology and Engineering 8, no. 5: 3305-3308.

Journal article
Published: 15 November 2019 in International Journal of Occupational and Environmental Safety
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The Agrifood Industry is the largest Portuguese Industry, constituted mainly by micro, small and medium-sized enterprises (SMEs). It is noted that more than any other type of organization SMEs have their own speci?cities that make it particularly appropriate to develop tools to facilitate communication and knowledge sharing for employers and workers. To this extent, identifying critical success factors is the key to increase SMEs productivity. Likewise, Occupational Safety and Health (OSH) in SMEs have their own characteristics, which dif?cult the prevention strategies implementation and aggravate the problematic of work accidents. This study analyses a ?eldwork in 60 food processing companies in Portugal, related to the dairy, meat processing, bakery and horticultural subsectors. The analysis of the results allowed to identify that, at the national and regional level, the main failures are concerned with (1) lack of risk assessments regarding occupational noise, lighting, thermal environment and vibrations; (2) safety signaling, the circulation ways are not identi?ed with appropriate safety colors; (3) general lighting, with too many shade areas and finally (4) complementary presence of associated risks to falls at the same level, falling of objects, thermal burns, the use of machines and equipment, ?re, mechanical, ergonomic hazards and incorrect body postures. This study assesses the most relevant occupational health and safety risks in the Portuguese food processing industry to contribute to the improvement of OSH management and prevention of work accidents.

ACS Style

Pedro D. Gaspar; Tânia Lima; Mariana Lourenço. Relevant occupational health and safety risks in the Portuguese food processing industry. International Journal of Occupational and Environmental Safety 2019, 3, 23 -33.

AMA Style

Pedro D. Gaspar, Tânia Lima, Mariana Lourenço. Relevant occupational health and safety risks in the Portuguese food processing industry. International Journal of Occupational and Environmental Safety. 2019; 3 (3):23-33.

Chicago/Turabian Style

Pedro D. Gaspar; Tânia Lima; Mariana Lourenço. 2019. "Relevant occupational health and safety risks in the Portuguese food processing industry." International Journal of Occupational and Environmental Safety 3, no. 3: 23-33.

Conference paper
Published: 25 July 2019 in Advances in Intelligent Systems and Computing
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In the XX century, arises the mass production implemented by Henry Ford to overcome the period of crisis lived in the World. In 1988, the term Lean emerged and this philosophy successfully challenged the mass production implemented in the automotive industry, focused on customers’ requirements and satisfaction with the minimum use of resources and waste elimination. A Lean environment can be a promoter in the implementation of the fourth industrial revolution, named Industry 4.0 (I4.0). In the succession of Industry 4.0 emerged the Society 5.0 in Japan, as a strategy to deal with the impact of an ageing population. The focus of this quiet revolution is the humankind and the creation of conditions to promote a happy, motivated and satisfied society with more time for leisure and consequently increase productivity and wealth. This article presents a historical approach to the technological evolution of productive systems, and their influence on societies.

ACS Style

Andreia G. Pereira; Tânia M. Lima; Fernando Charrua-Santos. Society 5.0 as a Result of the Technological Evolution: Historical Approach. Advances in Intelligent Systems and Computing 2019, 700 -705.

AMA Style

Andreia G. Pereira, Tânia M. Lima, Fernando Charrua-Santos. Society 5.0 as a Result of the Technological Evolution: Historical Approach. Advances in Intelligent Systems and Computing. 2019; ():700-705.

Chicago/Turabian Style

Andreia G. Pereira; Tânia M. Lima; Fernando Charrua-Santos. 2019. "Society 5.0 as a Result of the Technological Evolution: Historical Approach." Advances in Intelligent Systems and Computing , no. : 700-705.

Conference paper
Published: 14 April 2019 in Springer Texts in Business and Economics
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In most real cases the problem of scheduling operations are sequence dependent, that is, the setup time depends on the sequencing of tasks/batches in the machine. Given the current industrial manufacturing trends and requirements such as high variability, customization and reduction of product life cycles, organizations seek to implement new methodologies to adapt and respond with more flexibly to new demands of the global markets. Thus, this work sought to analyse, inspired by a real case of the textile industry, how production scheduling can be understood as a complement to SMED in order to achieve productivity improvement. In the case under analysis we presented the problem of scheduling tasks in uniform parallel machines with sequence-dependent setup times. The main objective of this work was to minimize the total production time. To this goal, optimization heuristics were used, in this case, simulated annealing algorithm, that demonstrated how the use of heuristics can be an advantage to reduce setup times when associated with other methodologies such as SMED.

ACS Style

Fernando Charrua-Santos; Beatrice Paiva Santos; Cindy Calderón-Arce; Geovanni Figueroa-Mata; Tânia Miranda Lima. Scheduling Operations and SMED: Complementary Ways to Improve Productivity. Springer Texts in Business and Economics 2019, 221 -227.

AMA Style

Fernando Charrua-Santos, Beatrice Paiva Santos, Cindy Calderón-Arce, Geovanni Figueroa-Mata, Tânia Miranda Lima. Scheduling Operations and SMED: Complementary Ways to Improve Productivity. Springer Texts in Business and Economics. 2019; ():221-227.

Chicago/Turabian Style

Fernando Charrua-Santos; Beatrice Paiva Santos; Cindy Calderón-Arce; Geovanni Figueroa-Mata; Tânia Miranda Lima. 2019. "Scheduling Operations and SMED: Complementary Ways to Improve Productivity." Springer Texts in Business and Economics , no. : 221-227.

Chapter
Published: 28 February 2019 in Developments in Advanced Control and Intelligent Automation for Complex Systems
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The Agrifood Industry is the largest Portuguese Industry, constituted mainly by micro, small and medium-sized enterprises (SMEs). It is noted that more than any other type of organization SMEs have their own specificities that make it particularly appropriate to develop tools to facilitate communication and knowledge sharing for employers and workers. To this extent, identifying critical success factors is the key to increase SMEs productivity. Likewise, Occupational Safety and Health (OSH) in SMEs have their own characteristics, which difficult the prevention strategies implementation and aggravate the problematic of work accidents. This study analyzes a fieldwork in 60 food processing companies in Portugal, related to the dairy, meat processing, bakery and horticultural subsectors, collected in the report “Characterization and Analysis of the Conditions of Safety and Health at Work in Agrifood Enterprises”. The analysis of the results allowed to identify that, at the national and regional level, the main failures are concerned with (1) lack of risk assessments regarding occupational noise, lighting, thermal environment and vibrations; (2) safety signaling, the circulation ways are not identified with appropriate safety colors; (3) general lighting, with too many shade areas and finally (4) complementary presence of associated risks to falls at the same level, falling of objects, thermal burns, the use of machines and equipment, fire, mechanical, ergonomic hazards and incorrect body postures. The present study aims to interpret the requirements that are in the ideal pattern of work through literature review regarding reality in the fields of OSH, in the Agrifood Industry, with the aim of contributing to the improvement of OSH management and accident prevention of work accidents.

ACS Style

Mariana Lourenço; Tânia M. Lima; Pedro D. Gaspar; Fernando Charrua-Santos. Assessment and Improvement Opportunities for Occupational Health and Safety in the Portuguese Food Processing Industry. Developments in Advanced Control and Intelligent Automation for Complex Systems 2019, 731 -738.

AMA Style

Mariana Lourenço, Tânia M. Lima, Pedro D. Gaspar, Fernando Charrua-Santos. Assessment and Improvement Opportunities for Occupational Health and Safety in the Portuguese Food Processing Industry. Developments in Advanced Control and Intelligent Automation for Complex Systems. 2019; ():731-738.

Chicago/Turabian Style

Mariana Lourenço; Tânia M. Lima; Pedro D. Gaspar; Fernando Charrua-Santos. 2019. "Assessment and Improvement Opportunities for Occupational Health and Safety in the Portuguese Food Processing Industry." Developments in Advanced Control and Intelligent Automation for Complex Systems , no. : 731-738.

Journal article
Published: 01 January 2019 in International Journal of Human Factors and Ergonomics
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A participatory ergonomics program enables a company to engage employees in its preventive strategy. This paper presents [email protected], an integrated methodology devised for promoting continuous implementation of preventive measures while monitoring their effectiveness over time in a participatory manner. It consists of a straightforward and cost-effective resource which is primarily aimed at supporting the identification of the need for implementation of interventions for strategic prevention of musculoskeletal disorders. As a practitioner tool, [email protected] guides the deployment of a participatory approach to ergonomics in both the analysis as well as in the intervention phase. The implementation of the measures envisaged in this planning support framework result from teamwork between the OSHS (Occupational Health and Safety Services) and the employee whose work is under focus. The implemented measures should then be monitored, which will enable assessing their effectiveness and their adjustment to the labour setting in an up-to-date manner.

ACS Style

Tânia Lima; Denis A. Coelho. A participatory ergonomics approach to prevention of musculoskeletal disorders in Portuguese small and medium enterprises: [email protected] International Journal of Human Factors and Ergonomics 2019, 6, 273 .

AMA Style

Tânia Lima, Denis A. Coelho. A participatory ergonomics approach to prevention of musculoskeletal disorders in Portuguese small and medium enterprises: [email protected] International Journal of Human Factors and Ergonomics. 2019; 6 (3):273.

Chicago/Turabian Style

Tânia Lima; Denis A. Coelho. 2019. "A participatory ergonomics approach to prevention of musculoskeletal disorders in Portuguese small and medium enterprises: [email protected]" International Journal of Human Factors and Ergonomics 6, no. 3: 273.

Conference paper
Published: 01 January 2019 in Transactions on Engineering Technologies
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The evolution of information and communication technologies and its introduction into production processes are transforming traditional industry, bringing it to a new level of organizational development. In order to avail the benefits of these technologies to strengthen competitiveness in the global market, a new paradigm is being discussed worldwide. Industry 4.0 or 4th Industrial Revolution are some of the terms used to describe the implementation of “smart” devices that can communicate autonomously along the value chain. In this approach, machines use self-optimization, self-configuration, and artificial intelligence to provide better quality goods and services. In this context, the overall goal of the study is to intensify the discussion and provide a state-of-art of Industry 4.0 in order to show how combination of advanced technologies and internet can create new opportunities to overcome the current and future industrial challenges.

ACS Style

Beatrice Paiva Santos; Fernando Charrua-Santos; Tânia Lima. Challenges and Opportunities Towards an Industry 4.0 Production. Transactions on Engineering Technologies 2019, 317 -329.

AMA Style

Beatrice Paiva Santos, Fernando Charrua-Santos, Tânia Lima. Challenges and Opportunities Towards an Industry 4.0 Production. Transactions on Engineering Technologies. 2019; ():317-329.

Chicago/Turabian Style

Beatrice Paiva Santos; Fernando Charrua-Santos; Tânia Lima. 2019. "Challenges and Opportunities Towards an Industry 4.0 Production." Transactions on Engineering Technologies , no. : 317-329.

Conference paper
Published: 01 January 2019 in Transactions on Engineering Technologies
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In face of the pressures exerted by the globalization of the markets and the needs to meet the expectations of consumers, companies seek to improve their organizations at different levels. To meet these requirements and survive in increasingly dynamic scenarios, companies must be aware that they can not to be more static and they must adapt to gain competitive strength. In this context, the study of the industrial layout assumes an important role integrating all the elements involved in the production process. Thus, this article intends to demonstrate the relevance of the thematic study. To this objective, we present a case study layout of a manufacturing wood-based, with a proposal for improvement based on the SLP – systematic layout planning, method, combined with practical considerations and constraints, discussed here, and presents in industrial facilities.

ACS Style

F. Charrua-Santos; J. Calais; B. Paiva Santos; Tânia Lima. Layout and Industrial Efficiency: A Case Study. Transactions on Engineering Technologies 2019, 331 -345.

AMA Style

F. Charrua-Santos, J. Calais, B. Paiva Santos, Tânia Lima. Layout and Industrial Efficiency: A Case Study. Transactions on Engineering Technologies. 2019; ():331-345.

Chicago/Turabian Style

F. Charrua-Santos; J. Calais; B. Paiva Santos; Tânia Lima. 2019. "Layout and Industrial Efficiency: A Case Study." Transactions on Engineering Technologies , no. : 331-345.

Review
Published: 17 October 2018 in Advances in Intelligent Systems and Computing
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Kaizen is one of the continuous improvement management tools encompassed by Lean Manufacturing. 5S methodology is a reorganization technique for the companies generally associated with Kaizen technique. It was specifically developed with the aim of transforming the environment of people’s organizations and attitudes, resulting in improvement of employees’ quality of life and the reduction of waste and costs, and aiming significant increases in productivity. Portuguese food industry is composed mainly by Small and Medium Enterprises that are now implementing new information and communication technologies and electronics. In order to promote their efficiency the SME should update their computational tools to support scenario creation that are used to ease the decision-making, so they are able to adapt rapidly to an increasingly computerized industry named as Industry 4.0. It is presented a computational tool to facilitate and implement a new culture of business management directed to agrifood SME, that aims to improve the organization and Occupational Safety and Health.

ACS Style

Renan Zocca; Tânia Lima; Pedro Dinis Gaspar; Fernando Charrua-Santos. Kaizen Approach for the Systematic Review of Occupational Safety and Health Procedures in Food Industries. Advances in Intelligent Systems and Computing 2018, 722 -727.

AMA Style

Renan Zocca, Tânia Lima, Pedro Dinis Gaspar, Fernando Charrua-Santos. Kaizen Approach for the Systematic Review of Occupational Safety and Health Procedures in Food Industries. Advances in Intelligent Systems and Computing. 2018; ():722-727.

Chicago/Turabian Style

Renan Zocca; Tânia Lima; Pedro Dinis Gaspar; Fernando Charrua-Santos. 2018. "Kaizen Approach for the Systematic Review of Occupational Safety and Health Procedures in Food Industries." Advances in Intelligent Systems and Computing , no. : 722-727.

Conference paper
Published: 17 October 2018 in Advances in Intelligent Systems and Computing
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Participatory ergonomics programs engage employees in preventive strategies. [email protected] is an integrated methodology for continuously implementing preventive measures while participatorily monitoring their effectiveness. [email protected] is directed towards computerized workplaces and aims identification and assessment of ergonomic risks, job psychosocial factors, musculoskeletal complaints and symptoms of disorders and individual characteristics and habits. This is followed by design and implementation of an intervention action plan. Initially, an occupational health and safety technician (HST) applies the risk factor identification methodology. The objective of the training that ensues is to capacitate and enable workers to propose an intervention plan for their work. To this follows application of suitable risk assessment methods to situations where ergonomic mismatches were detected by the HST. Finally, preventive and corrective measures to be implemented in each job, are devised in an ergonomic intervention plan for each employee. Monitoring of implemented measures enables assessing their effectiveness and their up-to-date adjustment.

ACS Style

Tânia M. Lima; Denis Coelho. [email protected]: A Participatory Ergonomics Approach for Strategic Interventions and Prevention of Musculoskeletal Disorders in SMEs. Advances in Intelligent Systems and Computing 2018, 819 -825.

AMA Style

Tânia M. Lima, Denis Coelho. [email protected]: A Participatory Ergonomics Approach for Strategic Interventions and Prevention of Musculoskeletal Disorders in SMEs. Advances in Intelligent Systems and Computing. 2018; ():819-825.

Chicago/Turabian Style

Tânia M. Lima; Denis Coelho. 2018. "[email protected]: A Participatory Ergonomics Approach for Strategic Interventions and Prevention of Musculoskeletal Disorders in SMEs." Advances in Intelligent Systems and Computing , no. : 819-825.

Journal article
Published: 01 July 2018 in International Journal of Industrial Ergonomics
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ACS Style

Tânia M. Lima; Denis A. Coelho. Ergonomic and psychosocial factors and musculoskeletal complaints in public sector administration – A joint monitoring approach with analysis of association. International Journal of Industrial Ergonomics 2018, 66, 85 -94.

AMA Style

Tânia M. Lima, Denis A. Coelho. Ergonomic and psychosocial factors and musculoskeletal complaints in public sector administration – A joint monitoring approach with analysis of association. International Journal of Industrial Ergonomics. 2018; 66 ():85-94.

Chicago/Turabian Style

Tânia M. Lima; Denis A. Coelho. 2018. "Ergonomic and psychosocial factors and musculoskeletal complaints in public sector administration – A joint monitoring approach with analysis of association." International Journal of Industrial Ergonomics 66, no. : 85-94.