{"title":"可持续制造的人为因素评价模型","authors":"M. Peruzzini, M. Pellicciari","doi":"10.1504/IJASM.2017.088511","DOIUrl":null,"url":null,"abstract":"Although factories are becoming smarter and more and more automated, thanks to ICT penetration, process performances still highly depend on 'humans in the loop' who have to carry out their tasks by perceiving and understanding increasingly complex multidimensional data sets. Forecasting the human behaviours and assessing how human factors affect the process performance are very difficult but fundamental for strategic decision-making and sustainable manufacturing. In this context, the research highlights the need of predictive methods to design human-centred smart manufacturing systems from the early design stages as an important part of the overall assessment of process sustainability. The paper defines a model to early assess human factors to be integrated with other existing models (i.e., cost estimation and lifecycle assessment) to evaluate manufacturing process sustainability. The proposed integrated method can be fruitfully used to support the design of sustainable manufacturing systems by taking into account also the impact on workers. An industrial case study focusing on packaging machines design is presented to demonstrate the validity of the proposed method and its adoption to propose re-design action promoting sustainability.","PeriodicalId":38028,"journal":{"name":"International Journal of Agile Systems and Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJASM.2017.088511","citationCount":"4","resultStr":"{\"title\":\"A human factors assessment model for sustainable manufacturing\",\"authors\":\"M. Peruzzini, M. Pellicciari\",\"doi\":\"10.1504/IJASM.2017.088511\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although factories are becoming smarter and more and more automated, thanks to ICT penetration, process performances still highly depend on 'humans in the loop' who have to carry out their tasks by perceiving and understanding increasingly complex multidimensional data sets. Forecasting the human behaviours and assessing how human factors affect the process performance are very difficult but fundamental for strategic decision-making and sustainable manufacturing. In this context, the research highlights the need of predictive methods to design human-centred smart manufacturing systems from the early design stages as an important part of the overall assessment of process sustainability. The paper defines a model to early assess human factors to be integrated with other existing models (i.e., cost estimation and lifecycle assessment) to evaluate manufacturing process sustainability. The proposed integrated method can be fruitfully used to support the design of sustainable manufacturing systems by taking into account also the impact on workers. An industrial case study focusing on packaging machines design is presented to demonstrate the validity of the proposed method and its adoption to propose re-design action promoting sustainability.\",\"PeriodicalId\":38028,\"journal\":{\"name\":\"International Journal of Agile Systems and Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1504/IJASM.2017.088511\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Agile Systems and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJASM.2017.088511\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Multidisciplinary\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Agile Systems and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJASM.2017.088511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Multidisciplinary","Score":null,"Total":0}
A human factors assessment model for sustainable manufacturing
Although factories are becoming smarter and more and more automated, thanks to ICT penetration, process performances still highly depend on 'humans in the loop' who have to carry out their tasks by perceiving and understanding increasingly complex multidimensional data sets. Forecasting the human behaviours and assessing how human factors affect the process performance are very difficult but fundamental for strategic decision-making and sustainable manufacturing. In this context, the research highlights the need of predictive methods to design human-centred smart manufacturing systems from the early design stages as an important part of the overall assessment of process sustainability. The paper defines a model to early assess human factors to be integrated with other existing models (i.e., cost estimation and lifecycle assessment) to evaluate manufacturing process sustainability. The proposed integrated method can be fruitfully used to support the design of sustainable manufacturing systems by taking into account also the impact on workers. An industrial case study focusing on packaging machines design is presented to demonstrate the validity of the proposed method and its adoption to propose re-design action promoting sustainability.
期刊介绍:
The objective of IJASM is to establish an effective channel of communication between academia, industry and persons concerned with the design and development of systems. Change is eternal and perpetual, irrespective of type of system. Systems created in the course of the advance of human civilization need to be functionally and operationally sustainable amid changes in technological, political, socio-economical, financial, cultural and other environmental challenges. IJASM aims to promote and harmonize knowledge developments in the emerging fields of agile systems research, sustainability and vulnerability analysis, risk assessments methodologies, complex systems science, e-organisation and e-supply chain management, with emphasis on the international dimension, particularly breaking cultural barriers, and on national contexts, globalisation and new business practices. As such, we aim to publish papers presenting new research, innovative theoretical approaches, changes in agile management paradigms, and action (both examples of successes and failures as long as there are important lessons to be learned) from leading scholars and practitioners. Papers generally fall into two broad categories: those grounded in theory and/or papers using scientific research methods (e.g., reports of original empirical studies, models, critical reviews of existing empirical research, theory pieces that clearly extend current thinking); and those focusing on innovative agile approaches that are based on well reasoned extensions of existing research, experiential knowledge, or exemplary cases (e.g., thought pieces, case studies, etc).