Environmentally Sustainable Management of 3D Printing Network: Decision Support for 3D Printing Work Allocation

2019 ◽  
Vol 21 (3) ◽  
pp. 537-544
Author(s):  
Jungmok Ma
Keyword(s):  
Decision Support ◽  
3D Printing ◽  
Sustainable Management ◽  
Environmentally Sustainable ◽  
Work Allocation

scholarly journals Development of a Decision Support System for 3D Printing Processes based on Cyber Physical Production Systems

Procedia CIRP ◽  
2021 ◽  
Vol 98 ◽  
pp. 348-353
Author(s):  
Rishi Kumar ◽  
Christopher Rogall ◽  
Sebastian Thiede ◽  
Christoph Herrmann ◽  
Kuldip Singh Sangwan
Keyword(s):  
Decision Support ◽  
3D Printing ◽  
Decision Support System ◽  
Support System ◽  
Production Systems ◽  
Cyber Physical Production Systems ◽  
Printing Processes

scholarly journals Building a 4D Voxel-Based Decision Support System for a Sustainable Management of Marine Geological Resources

2016 ◽  
pp. 224-252 ◽  
Author(s):  
Vera Van Lancker ◽  
Frederic Francken ◽  
Lars Kint ◽  
Nathan Terseleer ◽  
Dries Van den Eynde ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Sustainable Management ◽  
Resource Depletion ◽  
Relevant Parameter ◽  
User Friendliness ◽  
The North ◽  
Other Information ◽  
Sand And Gravel

For sustainable management of marine geological resources, a geological knowledge base is being built for the Belgian and southern Netherlands part of the North Sea. Voxel models of the subsurface are used for predictions on sand and gravel quantities and qualities, to ensure long-term resource use. The voxels are filled with geological data from boreholes and seismic lines, but other information can be added also. The geology provides boundary conditions needed to run environmental impact models that calculate resource depletion and regeneration under various scenarios of aggregate extraction. Such analyses are important in monitoring progress towards good environmental status, as outlined in the Marine Strategy Framework Directive. By including uncertainty, data products can be generated with confidence limits, which is critical for assessing the significance of changes in the habitat or in any other resource-relevant parameter. All of the information is integrated into a cross-domain, multi-criteria decision support system optimised for user-friendliness and online visualisation.

Circular Economy, 3D Printing, and the Biosphere Rules

2018 ◽  
Vol 60 (3) ◽  
pp. 95-111 ◽  
Author(s):  
Gregory Unruh
Keyword(s):  
3D Printing ◽  
Circular Economy ◽  
Sustainable Manufacturing ◽  
Three Dimensional ◽  
Spare Parts ◽  
Policy Makers ◽  
Management Framework ◽  
Environmentally Sustainable ◽  
Industrial Sectors ◽  
Cradle To Cradle

This article applies the Biosphere Rules—a biomimicry-inspired management framework for circular economy initiatives—to the emerging field of additive manufacturing and three-dimensional (3D) Printing, which are revolutionizing industrial sectors from medical devices to spare parts. They are also potentially keys in the emergence of a true circular economy that will bring about environmentally sustainable manufacturing. This article lays out an established strategy that can guide managers and policy makers in pursuit of a cradle-to-cradle economy.

scholarly journals Sustainable Change Management through Employee Readiness: Decision Support System Adoption in Technology-Intensive British E-Businesses

2019 ◽  
Vol 11 (11) ◽  
pp. 2998 ◽  
Author(s):  
Fawad Ahmed ◽  
Yuan Jian Qin ◽  
Luis Martínez
Keyword(s):  
Decision Support ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Sustainable Management ◽  
Management Practices ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Technology brings green sustainable management practices to the workplace. It is important to ascertain the factors that enable or inhibit employees’ perceptions towards technology adoption. Corporate sustainability and sustainable management practices partially depend on employees for the successful implementation of technological changes in the workplace. This study aims at applying the technology acceptance model (TAM) from an employees’ user-perspective. It addresses those factors that form employee readiness for e-business and enable their intention to use e-business technologies such as decision support systems (DSS). It focuses on technology intensive firms while combining Davis’ technology acceptance model and Lai and Ong’s employee readiness for e-business (EREB) model. A survey questionnaire was used to collect the data for this cross-sectional study from 331 employees of 28 well-established small and medium-sized e-businesses located in the United Kingdom. The outcomes show that the four dimensions of EREB explain the 58.2% of variance in perceived ease of use and the 50.2% of variance in perceived usefulness. Together, perceived usefulness and perceived ease of use explain the 51.8% of variance in intention to use while fully mediating the relationship between higher order EREB construct and intention to use DSS.

scholarly journals Decision Support to Sustainable Management of Bottom Trawl Fleet

2016 ◽  
Vol 8 (3) ◽  
pp. 204 ◽  
Author(s):  
Irena Bitunjac ◽  
Nikša Jajac ◽  
Ivan Katavić
Keyword(s):  
Decision Support ◽  
Sustainable Management ◽  
Bottom Trawl
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