The Effect of Road Traffic Delay on Supply Chain Performance of Manufacturing Firms in Lagos State, Nigeria (Published)
This study examined the trend of traffic growth and its resultant effect on supply chain performance on manufacturing firms in Lagos State, Nigeria. The study adopted purposive and simple random sampling technique. Firms along transport congestion corridors were purposively selected. and workers in the selected firms were randomly selected. Sampled firms distributors and customers were also used to gather information regarding supply chain performance. A total number of 225 respondents were randomly sampled from 3,981 workers of two firms to solicit information on how congestion affects supply chain performance, analysis was done using multiple regression analyze. Result shows that all identified variable were statistically significant except goods returned and fuel consumption at p<0.005. From the findings, the study concluded that there is inverse relationship between traffic congestion and supply chain performance. This implied that as traffic congestion increases it have a resultant effect on supply chain performance. Therefore, the study recommended that government and other stakeholders should see congestion as a collective task in order to improve free flow of traffic that would significantly improve supply chain performance both in local and national economy.
AI Based Congestion Relief Method in GSM 900MHZ (Review Completed - Accepted)
It is commonly accepted that the problem of network congestion control remains a critical issue and a high priority, especially given the growing size, demand, and speed of the increasingly integrated services networks. This is where the need for an intelligent multi criteria handoff algorithm becomes apparent. Efficient load balancing algorithm is important in serving more mobile stations in the wireless networks.
This paper presents the design and implementation of a fuzzy multi-criteria handoff algorithm based on signal strength, path-loss and traffic load of base stations and the received signal to interference ratio as to balance traffic in all the neighboring sites at any time. This can be achieved by using Fuzzy Logic.
The proposed algorithm is able to balance load of the base station by handing off some ongoing calls on cell edge in highly loaded cells to migrate to overlapping under-loaded cells, such that the coverage area of loaded BTS virtually shrunk towards cell center of a loaded sector. In case of low load scenarios, the coverage area of a BTS is presumed to be virtually widened to cover up to the partial serving area of neighboring BTS. This helps a highly loaded neighboring BTS.