ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT
Abstract
Turkey, including different climate structures, the presence of a variety of animals from different species and breeds and a large part of population still living in rural areas, is in a position that livestock issues should be given specific attention. However, in recent years, in the share of total agricultural production, animal production increased steadily in all developed countries, such an increase could not be achieved in Turkey. Since the beginnings of 2000's meeting the demand for more individual based products, customer specific product variants and shortest delivery times has increased their significance. In the process of examining the different parameters of mass customization and mass production, simulation techniques are able to be utilized to understand that which way have to be chosen. A livestock management framework is created and basically simulated under some specific criteria based on the paradigm shift of mass customization. This simulation is going to own an environment and agents, and these agents have to take their own decisions randomly to obtain much objective results. Therefore, an agent-based simulation approach need to be done in here. Livestock supply chain constitutes the main part of the livestock management, so the simulation basically works under the circumstances of the properties of this supply chain. The parameters can be expressed such as centralization & decentralization, environmental effects, complexity, customer satisfaction, product variation, democratization of design and open innovation, market and customer proximity, usage of resources, regionalism and authenticity, energy saving, sustainability. The condition and parameters of supply chain, environment and the agents are able to change to obtain specific results for different parameters of mass customization. Due to these changes, design of experiment have to be made for levels of the parameters to find the optimum condition.
Keywords
References
- Ahumada, O., & Villalobos, J. R. (2009). Application of planning models in the agri-food supply chain: A review. European journal of Operational research,196(1), 1-20.
- Aiyun, G., Debin, D., & Zhongwei, H. (2010, May). RFID in the livestock supply chain management: application and development. In E-Business and E-Government (ICEE), 2010 International Conference on (pp. 3424-3427). IEEE.
- Banhazi, T. M., & Black, J. L. (2009). Precision livestock farming: a suite of electronic systems to ensure the application of best practice management on livestock farms. Australian Journal of Multi-disciplinary Engineering, 7(1), 1-14.
- Boyer, C. N., & Brorsen, B. W. (2013). Changes in beef packers’ market power after the livestock mandatory price reporting act: An agent-based auction. American Journal of Agricultural Economics, aat005.
- Den Ouden, M., Nijsing, J. T., Dijkhuizen, A. A., & Huirne, R. B. M. (1997). Economic optimization of pork production-marketing chains: I. Model input on animal welfare and costs. Livestock Production Science, 48(1), 23-37.
- Guerrin, F. (2004). Simulation of stock control policies in a two-stage production system: Application to pig slurry management involving multiple farms. Computers and Electronics in Agriculture, 45(1), 27-50.
- Guo, X., Claassen, G. D. H., Lansink, A. O., & Saatkamp, H. W. (2014). A conceptual framework for economic optimization of single hazard surveillance in livestock production chains. Preventive veterinary medicine, 114(3), 188-200.
- Hassini, E., Surti, C., & Searcy, C. (2012). A literature review and a case study of sustainable supply chains with a focus on metrics. International Journal of Production Economics, 140(1), 69-82.
Details
Primary Language
English
Subjects
Industrial Engineering
Journal Section
Research Article
Authors
Deniz Efendioğlu
0000-0002-3710-9187
Türkiye
Publication Date
June 30, 2019
Submission Date
April 26, 2019
Acceptance Date
July 5, 2019
Published in Issue
Year 2019 Volume: 3 Number: 1