Analysis of Sheep Value Chain: The Case of Adama District, East Shoa Zone of Oromia Regional State, Ethiopia

The objective of this paper was to map out sheep value chain actors and their roles, identify the major constraints and suggest the specific areas of intervention for better performance of sheep value chain in Adama district of Ethiopia. Both qualitative and quantitative data were collected from primary and secondary sources. The study shows that multiple actors from public and private sectors involved in sheep value chain with diverse roles. Although large population of sheep, increased demand for sheep meat in local and foreign markets, institutional support and extension service delivery are the opportunities that will enhance the system. The value chain is constrained by low genetic potential, shortage of feed in quality and quantity, disease, lack of technology, both legal and illegal livestock marketing systems are operating at different magnitudes, lack of market information and lack of integration among chain actors. It is recommended that chain actors should work together in an integrated way to design alternative sheep production system, breed and feed improvement, disease control and strengthen sustainable market linkage. Therefore, empowering poor smallholder farmers will help to provide high-quality, sustainable livestock production with an identified market destination and access to basic production inputs, credit, capacity-building, market-related information. Keywords: Sheep, value chain, actors, mapping, Adama, Ethiopia

Spartan Daily, September 13, 2002

Volume 119, Issue 11https://scholarworks.sjsu.edu/spartandaily/10655/thumbnail.jp

Integration of Forecasting, Scheduling, Machine Learning, and Efficiency Improvement Methods into the Sport Management Industry

Sport management is a complicated and economically impactful industry and involves many crucial decisions: such as which players to retain or release, how many concession vendors to add, how many fans to expect, what teams to schedule, and many others are made each offseason and changed frequently. The task of making such decisions effectively is difficult, but the process can be made easier using methods of industrial and systems engineering (ISE). Integrating methods such as forecasting, scheduling, machine learning, and efficiency improvement from ISE can be revolutionary in helping sports organizations and franchises be consistently successful. Research shows areas including player evaluation, analytics, fan attendance, stadium design, accurate scheduling, play prediction, player development, prevention of cheating, and others can be improved when ISE methods are used to target inefficient or wasteful areas

Commonwealth Times 2011-09-29

https://scholarscompass.vcu.edu/com/2743/thumbnail.jp