| 1. |
- Hooshyar Yousefi, Bahram, Senior Lecturer, 1977-, et al.
(författare)
-
Integration of BIM and IoT in the Building Heritage : A KM Conceptual Framework
- 2018
-
Ingår i: Landscape in Transition. - Tehran : IFLA, Middle East. - 9786220005025 ; , s. 11-23
-
Konferensbidrag (refereegranskat)abstract
- The current progress in the field of Building Informa on Modeling (BIM) and the new possibili es facilitated by IoT (Internet of Things) pla orms could contribute to the stream of the integra ng improvement of the knowledge-based built heritage management. In this paper, ُthe concept of integra on of BIM and IoT would appear as a process of coordina on of all phases under a proper knowledge-based strategic approach. The op mal provided model would eventually be essen al to integrate common sub-processes grounded on the developed BIM-IoT principles/model. The eventual model has been conceptualized through the correspondence of BIM with WSN (Wireless Sensors Network) as the central management brain of the opera on and maintenance of the buildings referring to the sustainability concept and conducts as a Knowledge Management System (KMS).
|
|
| 2. |
- Håkansson, Nina, et al.
(författare)
-
Improvement of animal welfare by strategic analysis and logistic optimisation of animal slaughter transportation
- 2016
-
Ingår i: Animal Welfare. - : Universities Federation for Animal Welfare. - 0962-7286 .- 2054-1538. ; 25:2, s. 255-263
-
Tidskriftsartikel (refereegranskat)abstract
- The transportation of animals to slaughterhouses is a major welfare concern. The number of slaughterhouses has decreased over time in Europe due to centralisation. This is expected to increase transport time for animals and as a consequence negatively affect animal welfare. We propose an optimisation model based on a facility location model to perform strategic analysis to improve transportation logistics. The model is tested on the Swedish slaughter transport system. We show that, by strategic planning and redirection of transports while keeping the slaughterhouse capacities as of the originaldata, the potential exists to reduce transport distance by 25% for pigs and 40% for cattle. Furthermore, we demonstrated that approximately 50% of Swedish slaughterhouses can be shut down with a minimal effect on total transport distances. This implies that in terms of the overall welfare picture, the decision of which animals to send where plays a for more significant role than the number of slaughterhouses. In addition, by changing relative weights on distances in the optimisation function the amount of individualtransports with longjourney times can be decreased. We also show results from altered slaughterhouse capacity and geographical location of slaughterhouses. This is the first time an entire country has been analysed in great detail with respect to the location, capacity and number of slaughterhouses. The focus is mainly on the analysis of unique and detailed information of actual animal transports in Sweden and a demonstration of the potential impact redirection of the transports and/ or altering of slaughterhouses can have on animal welfare.
|
|
| 3. |
- Frisk, Mikael, et al.
(författare)
-
Route optimization as an instrument to improve animal welfare and economics in pre-slaughter logistics
- 2018
-
Ingår i: PLOS ONE. - : Public Library of Science. - 1932-6203. ; 13:3
-
Tidskriftsartikel (refereegranskat)abstract
- Each year, more than three million animals are transported from farms to abattoirs in Sweden. Animal transport is related to economic and environmental costs and a negative impact on animal welfare. Time and the number of pick-up stops between farms and abattoirs are two key parameters for animal welfare. Both are highly dependent on efficient and qualitative transportation planning, which may be difficult if done manually. We have examined the benefits of using route optimization in cattle transportation planning. To simulate the effects of various planning time windows and transportation time regulations and number of pick-up stops along each route, we have used data that represent one year of cattle transport. Our optimization model is a development of a model used in forestry transport that solves a general pick-up and delivery vehicle routing problem. The objective is to minimize transportation costs. We have shown that the length of the planning time window has a significant impact on the animal transport time, the total driving time and the total distance driven; these parameters that will not only affect animal welfare but also affect the economy and environment in the pre-slaughter logistic chain. In addition, we have shown that changes in animal transportation regulations, such as minimizing the number of allowed pick-up stops on each route or minimizing animal transportation time, will have positive effects on animal welfare measured in transportation hours and number of pick-up stops. However, this leads to an increase in working time and driven distances, leading to higher transportation costs for the transport and negative environmental impact.
|
|
