Supporting decision-making of collaborative robot (cobot) adoption: The development of a framework
Collaborative robots (cobots) are emerging in manufacturing as a response to the current mass customization production paradigm and the fifth industrial revolution. Before adopting this technology in production processes and benefiting from its advantages, manufacturers need to analyze the investmen...
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| Published in: | Technological forecasting & social change Vol. 204; p. 123406 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Inc
01-07-2024
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| Abstract | Collaborative robots (cobots) are emerging in manufacturing as a response to the current mass customization production paradigm and the fifth industrial revolution. Before adopting this technology in production processes and benefiting from its advantages, manufacturers need to analyze the investment. Therefore, this study aims to develop a decision-making framework for cobot adoption, incorporating a comprehensive set of quantitative and qualitative criteria, to be used by decision-makers in manufacturing companies. To achieve that objective, a qualitative study was conducted by collecting data through interviews with key actors in the cobot (or advanced manufacturing technologies) adoption decision process in manufacturing companies. The main findings of this study include, firstly, an extensive list of decision criteria, as well as some indicators to be used by decision-makers, some of which are new to the literature. Secondly, a decision-making framework for cobot adoption is proposed, as well as a set of guidelines to use it. The framework is based on a weighted scoring method and can be customizable by the manufacturing company depending on its specific context, needs, and resources. The main contribution of this study consists in assisting decision-makers of manufacturing companies in performing more complete and sustained decision analyses regarding cobots adoption.
•Financial aspects, safety, productivity, and ergonomics are important criteria.•A decision-making framework for cobot adoption based on the weighted scoring method•Incorporating quantitative and qualitative criteria in the adoption decision•The framework is customizable to the company's context, needs, and resources.•Empirical perspective of decision-makers in manufacturing companies was considered. |
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| AbstractList | Collaborative robots (cobots) are emerging in manufacturing as a response to the current mass customization production paradigm and the fifth industrial revolution. Before adopting this technology in production processes and benefiting from its advantages, manufacturers need to analyze the investment. Therefore, this study aims to develop a decision-making framework for cobot adoption, incorporating a comprehensive set of quantitative and qualitative criteria, to be used by decision-makers in manufacturing companies. To achieve that objective, a qualitative study was conducted by collecting data through interviews with key actors in the cobot (or advanced manufacturing technologies) adoption decision process in manufacturing companies. The main findings of this study include, firstly, an extensive list of decision criteria, as well as some indicators to be used by decision-makers, some of which are new to the literature. Secondly, a decision-making framework for cobot adoption is proposed, as well as a set of guidelines to use it. The framework is based on a weighted scoring method and can be customizable by the manufacturing company depending on its specific context, needs, and resources. The main contribution of this study consists in assisting decision-makers of manufacturing companies in performing more complete and sustained decision analyses regarding cobots adoption.
•Financial aspects, safety, productivity, and ergonomics are important criteria.•A decision-making framework for cobot adoption based on the weighted scoring method•Incorporating quantitative and qualitative criteria in the adoption decision•The framework is customizable to the company's context, needs, and resources.•Empirical perspective of decision-makers in manufacturing companies was considered. |
| ArticleNumber | 123406 |
| Author | Silva, Andreia Blanc, Renata Correia Simões, Ana |
| Author_xml | – sequence: 1 givenname: Andreia surname: Silva fullname: Silva, Andreia email: silva99andreia@hotmail.com organization: School of Economics and Management of the University of Porto, R. Dr. Roberto Frias, 4200-464 Porto, Portugal – sequence: 2 givenname: Ana surname: Correia Simões fullname: Correia Simões, Ana email: ana.c.simoes@inesctec.pt organization: Centre for Enterprise Systems Engineering (CESE) of INESC TEC R., Dr. Roberto Frias, 4200-465 Porto, Portugal – sequence: 3 givenname: Renata surname: Blanc fullname: Blanc, Renata email: renatablanc@fep.up.pt organization: School of Economics and Management of the University of Porto, R. Dr. Roberto Frias, 4200-464 Porto, Portugal |
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| Keywords | Technology adoption Decision-making Advanced manufacturing technology Decision criteria Framework Collaborative robots |
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