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.
Livestock Supply Chain Agent Based Simulation Framework System Analysis & Design Design of Experiment
Primary Language | English |
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Subjects | Industrial Engineering |
Journal Section | Research Article |
Authors | |
Publication Date | June 30, 2019 |
Submission Date | April 26, 2019 |
Acceptance Date | July 5, 2019 |
Published in Issue | Year 2019 Volume: 3 Issue: 1 |