The application of multi-floor manufacturing (MFM) in huge cities is related to the rational use of urban areas and the solution to traffic problems. The operation of the city MFM clusters depends on the efficiency of production and transport management considering technical, economic, environmental, and other factors. The primary goal of this paper was to identify and analyze the drivers of sustainable supply chains (SSCs) that influence or encourage the design of sustainable processes in city MFM clusters under uncertainty in supply chains. This paper presents an SSC performance model for city MFM clusters under uncertainty. The proposed model is universal and is based on material flow analysis (MFA) methodology. The presented analysis helps to determine the conditions for rhythmic deliveries with the use of the multi-IRTs. The coefficients of rhythmic deliveries for multiple intelligent reconfigurable trolleys (IRTs) and the capacity loss of freight elevators allow us to periodically assess the sustainability processes in city MFM clusters related to the flow materials. These assessments are the basis for the decision-making and planning of SSCs.
The purpose of the article is to present the integrated sustainable freight transport system dedicated for city clusters. The presented concept and calculation model is the result of a broader study on the effectiveness of production and transport systems in urban areas. The integrated sustainable freight transport system described in this paper serves multi-floor manufacturing clusters and therefore meets two efficiency requirements: technological integration and process sustainability. The integration of in-house transport system servicing multi-floor manufacturing building and supply chain deliveries to/from logistic node is based on efficient use of Intelligent Reconfigurable Trolleys (IRTs). The calculation model of integrated freight transport system allows for the quantitative matching of key elements of the transport system to the multi-floor manufacturing cluster needs. Properly selected and functionally integrated elements of proposed transport system allows to minimize losses and reduce the negative impact of transport on the environment.
This paper presents a possible application of the Analytic Hierarchy Process (AHP) in a multi-criteria analysis of components importance to a system reliability structure illustrated by a stern tube sealing system installed on deep sea ships. We used the AHP to determine the relevance of the importance ranks and made an importance analysis for the criteria of reliability, safety and repair costs. We compared our results with the measures analysed and presented in literature before. We also presented some conclusions on using the AHP for multi-criteria analysis of components importance in Complex Technical Systems (CTS). We finished with suggestions for further research on quantitative and qualitative methods of importance analysis.
Abstract:The article presents a method for evaluating the efficiency of port container terminals. The research was conducted for nine European terminals which use different handling technologies. The terminals have been divided due to the level of automation of transport processes. In the efficiency research DEA (Data Envelopment Analysis) method is applied, that was previously used in studies of the relative productivity in the industry. This method allows you to multicriteria process analysis based on the properly selected production system model processing input parameters on output. Conclusions from analysis can be a ground for making a decision on organizational or investment issues.
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