Research Article
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Year 2019, Volume: 3 Issue: 1, 269 - 282, 30.06.2019

Abstract

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.
  • Herold, P., Roessler, R., Willam, A., Momm, H., & Zárate, A. V. (2010). Breeding and supply chain systems incorporating local pig breeds for small-scale pig producers in Northwest Vietnam. Livestock Science, 129(1), 63-72.
  • Kumar, A. (2007). From mass customization to mass personalization: a strategic transformation. International Journal of Flexible Manufacturing Systems, 19(4), 533-547.
  • Lazic, Z. R. (2006). Design of experiments in chemical engineering: A practical guide. John Wiley & Sons.
  • Marsden, T., Banks, J., & Bristow, G. (2000). Food supply chain approaches: exploring their role in rural development. Sociologia ruralis, 40(4), 424-438.
  • Matt, D. T., Rauch, E., & Dallasega, P. (2015). Trends towards Distributed Manufacturing Systems and modern forms for their design. Procedia CIRP, 33, 185-190.
  • Pomar, J., López, V., & Pomar, C. (2011). Agent-based simulation framework for virtual prototyping of advanced livestock precision feeding systems. Computers and electronics in agriculture, 78(1), 88-97.
  • Rich, K. M., Baker, D., Negassa, A., & Ross, R. B. (2009, August). Concepts, applications, and extensions of value chain analysis to livestock systems in developing countries. In International Association of Agricultural Economists Conference, August, Beijing.
  • Rich, K. M., Ross, R. B., Baker, A. D., & Negassa, A. (2011). Quantifying value chain analysis in the context of livestock systems in developing countries. Food Policy, 36(2), 214-222.
  • Shamsuddoha, M. (2011, June). Reverse supply chain process as environmental sustainability in the poultry industry of Bangladesh. In Curtin University, Curtin Business School, Doctoral Colloquium.
  • Soysal, M., Bloemhof-Ruwaard, J. M., & Van der Vorst, J. G. A. J. (2014). Modelling food logistics networks with emission considerations: The case of an international beef supply chain. International Journal of Production Economics,152, 57-70.
  • Uwizeye, A., Gerber, P. J., Schulte, R. P., & de Boer, I. J. (2016). A comprehensive framework to assess the sustainability of nutrient use in global livestock supply chains. Journal of Cleaner Production, 129, 647-658.
  • van der Gaag, M. A., Vos, F., Saatkamp, H. W., van Boven, M., van Beek, P., & Huirne, R. B. (2004). A state-transition simulation model for the spread of Salmonella in the pork supply chain. European Journal of Operational Research, 156(3), 782-798.
  • Van der Vorst, J. G., Tromp, S., & van der Zee, D. J. (2005, December). A simulation environment for the redesign of food supply chain networks: Modeling quality controlled logistics. In Proceedings of the 37th conference on Winter simulation (pp. 1658-1667). Winter Simulation Conference.
  • Van der Vorst, J. G., Tromp, S. O., & Zee, D. J. V. D. (2009). Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics. International Journal of Production Research, 47(23), 6611-6632

ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT

Year 2019, Volume: 3 Issue: 1, 269 - 282, 30.06.2019

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.

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.
  • Herold, P., Roessler, R., Willam, A., Momm, H., & Zárate, A. V. (2010). Breeding and supply chain systems incorporating local pig breeds for small-scale pig producers in Northwest Vietnam. Livestock Science, 129(1), 63-72.
  • Kumar, A. (2007). From mass customization to mass personalization: a strategic transformation. International Journal of Flexible Manufacturing Systems, 19(4), 533-547.
  • Lazic, Z. R. (2006). Design of experiments in chemical engineering: A practical guide. John Wiley & Sons.
  • Marsden, T., Banks, J., & Bristow, G. (2000). Food supply chain approaches: exploring their role in rural development. Sociologia ruralis, 40(4), 424-438.
  • Matt, D. T., Rauch, E., & Dallasega, P. (2015). Trends towards Distributed Manufacturing Systems and modern forms for their design. Procedia CIRP, 33, 185-190.
  • Pomar, J., López, V., & Pomar, C. (2011). Agent-based simulation framework for virtual prototyping of advanced livestock precision feeding systems. Computers and electronics in agriculture, 78(1), 88-97.
  • Rich, K. M., Baker, D., Negassa, A., & Ross, R. B. (2009, August). Concepts, applications, and extensions of value chain analysis to livestock systems in developing countries. In International Association of Agricultural Economists Conference, August, Beijing.
  • Rich, K. M., Ross, R. B., Baker, A. D., & Negassa, A. (2011). Quantifying value chain analysis in the context of livestock systems in developing countries. Food Policy, 36(2), 214-222.
  • Shamsuddoha, M. (2011, June). Reverse supply chain process as environmental sustainability in the poultry industry of Bangladesh. In Curtin University, Curtin Business School, Doctoral Colloquium.
  • Soysal, M., Bloemhof-Ruwaard, J. M., & Van der Vorst, J. G. A. J. (2014). Modelling food logistics networks with emission considerations: The case of an international beef supply chain. International Journal of Production Economics,152, 57-70.
  • Uwizeye, A., Gerber, P. J., Schulte, R. P., & de Boer, I. J. (2016). A comprehensive framework to assess the sustainability of nutrient use in global livestock supply chains. Journal of Cleaner Production, 129, 647-658.
  • van der Gaag, M. A., Vos, F., Saatkamp, H. W., van Boven, M., van Beek, P., & Huirne, R. B. (2004). A state-transition simulation model for the spread of Salmonella in the pork supply chain. European Journal of Operational Research, 156(3), 782-798.
  • Van der Vorst, J. G., Tromp, S., & van der Zee, D. J. (2005, December). A simulation environment for the redesign of food supply chain networks: Modeling quality controlled logistics. In Proceedings of the 37th conference on Winter simulation (pp. 1658-1667). Winter Simulation Conference.
  • Van der Vorst, J. G., Tromp, S. O., & Zee, D. J. V. D. (2009). Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics. International Journal of Production Research, 47(23), 6611-6632
There are 22 citations in total.

Details

Primary Language English
Subjects Industrial Engineering
Journal Section Research Article
Authors

Deniz Efendioğlu 0000-0002-3710-9187

Beytullah Gültekin Çetiner 0000-0001-7932-1023

Publication Date June 30, 2019
Submission Date April 26, 2019
Acceptance Date July 5, 2019
Published in Issue Year 2019 Volume: 3 Issue: 1

Cite

APA Efendioğlu, D., & Çetiner, B. G. (2019). ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT. Journal of Turkish Operations Management, 3(1), 269-282.
AMA Efendioğlu D, Çetiner BG. ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT. JTOM. June 2019;3(1):269-282.
Chicago Efendioğlu, Deniz, and Beytullah Gültekin Çetiner. “ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT”. Journal of Turkish Operations Management 3, no. 1 (June 2019): 269-82.
EndNote Efendioğlu D, Çetiner BG (June 1, 2019) ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT. Journal of Turkish Operations Management 3 1 269–282.
IEEE D. Efendioğlu and B. G. Çetiner, “ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT”, JTOM, vol. 3, no. 1, pp. 269–282, 2019.
ISNAD Efendioğlu, Deniz - Çetiner, Beytullah Gültekin. “ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT”. Journal of Turkish Operations Management 3/1 (June 2019), 269-282.
JAMA Efendioğlu D, Çetiner BG. ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT. JTOM. 2019;3:269–282.
MLA Efendioğlu, Deniz and Beytullah Gültekin Çetiner. “ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT”. Journal of Turkish Operations Management, vol. 3, no. 1, 2019, pp. 269-82.
Vancouver Efendioğlu D, Çetiner BG. ASSESSMENT AND CREATION OF LIVESTOCK SUPPLY CHAIN MANAGEMENT. JTOM. 2019;3(1):269-82.

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