Supply chain management has become more
challenging with the emerging trend of globalization and
sustainability. Lately, research related to perishable products supply
chains, in particular agricultural food products, has emerged. This is
attributed to the additional complexity of managing this type of
supply chains with the recently increased concern of public health,
food quality, food safety, demand and price variability, and the
limited lifetime of these products. Inventory management for agrifood
supply chains is of vital importance due to the product
perishability and customers- strive for quality. This paper
concentrates on developing a simulation model of a real life case
study of a two echelon production-distribution system for agri-food
products. The objective is to improve a set of performance measures
by developing a simulation model that helps in evaluating and
analysing the performance of these supply chains. Simulation results
showed that it can help in improving overall system performance.
[1] V. Salin, 1998. Information technology in agri-food supply chains.
International Food and Agribusiness Management Review, (1998) 329-
334.
[2] J.D. Kinsey, 2001. The new food economy: Consumers, farms, pharms
and science. American Journal of Agricultural Economics, Vol.83
(2001) 1113-1130
[3] T. Heller, Sales grow so does competition, Progressive Grocer, Vol. 81
No. 10, (2002) 103-106.
[4] G. De Sensi, F. Longo, G. Mirabelli, Inventory policies analysis under
demand patterns and lead times constraints in a real supply chain.
International Journal of Production Research , (2008) 6997-7016.
[5] Rob A.C.M.Broekmeulen, Karel H.van Donselaar, A heuristic to manage
perishable inventory with batch ordering, positive lead-times, and time
varying demand. Computers &Operations Research, Vol 36 (2009)
3013-3018
[6] Xiao Yong-bo, CHEN Jian, XU Xiao-linC, Fresh Product Supply Chain
Coordination under CIF Business model with long distance
transportation. Systems Engineering ÔÇö Theory & Practice , (2008) 19-
34.
[7] Junxiu Jia, Qiying Hub, Dynamic ordering and pricing for a perishable
goods supply chain. Computers & Industrial Engineering, Vol. 60
(2011) 302-209
[8] K. Sari, Inventory inaccuracy and performance of collaborative supply
chain practices. Industrial Management & Data systems,Vol. 108 No. 4
(2008) 495-509.
[9] Sandra Transchel, Stefan Minner, Periodic review inventory-control for
perishable products under service level constraints. OR Spectrum,
Vol.32 (2010) 979-996.
[10] Aiying Rong, Renzo Akkerman , MartinGrunow , An optimization
approach for managing freshfood quality throughout the supply chain.
International Journal of Production Economics, (2009)
[11] Yong He, Shou-Yang Wang , K.K. Lai , An optimal productioninventory
model for deteriorating items with multiple market demand.
European Journal of Operational Research, Vol.203 (2010) 593-600.
[12] Francis Vanek, Yao Sun, Transportation versus perishability in life cycle
energy consumption: A case study of the temperature-controlled food
product supply chain. Transportation Research Part D , (2008) 383-391.
[13] Silpa Sagheer, S.S. Yadav , S.G. Deshmukh, Developing a conceptual
framework for assessing competitiveness of India-s agri food chain.
International Journal of Emerging markets, Vol 4 (2009) 137-159.
[14] Randy Stringer, Naiqan Sang, Andre Crpooenstedtn, Producers,
Processors, and Procurement Decisions: The Case of vegetable supply
chain in china. World Development , Vol. 37 No. 11 (2009) 1773-1780.
[15] P. Engelseth, Food product traceability and supply network integration.
Journal of Business & Industrial Marketing, (2009) 421-430.
[16] M. Bevilacqua, F.E. Ciarapica , G. Giacchetta, Business process
reengineering of a supply chain and a traceability system: a case study.
Journal of Food Engineering, Vol.93 (2009) 13-22.
[17] Charles X. Wang, Scott Webster , Markdown money contracts for
perishable goods with clearance pricing. European Journal of
Operational Research, Vol.196 (2009) 1113-1122.
[18] Supply Chain Council (2004), available at: www.supply-chain.org
[1] V. Salin, 1998. Information technology in agri-food supply chains.
International Food and Agribusiness Management Review, (1998) 329-
334.
[2] J.D. Kinsey, 2001. The new food economy: Consumers, farms, pharms
and science. American Journal of Agricultural Economics, Vol.83
(2001) 1113-1130
[3] T. Heller, Sales grow so does competition, Progressive Grocer, Vol. 81
No. 10, (2002) 103-106.
[4] G. De Sensi, F. Longo, G. Mirabelli, Inventory policies analysis under
demand patterns and lead times constraints in a real supply chain.
International Journal of Production Research , (2008) 6997-7016.
[5] Rob A.C.M.Broekmeulen, Karel H.van Donselaar, A heuristic to manage
perishable inventory with batch ordering, positive lead-times, and time
varying demand. Computers &Operations Research, Vol 36 (2009)
3013-3018
[6] Xiao Yong-bo, CHEN Jian, XU Xiao-linC, Fresh Product Supply Chain
Coordination under CIF Business model with long distance
transportation. Systems Engineering ÔÇö Theory & Practice , (2008) 19-
34.
[7] Junxiu Jia, Qiying Hub, Dynamic ordering and pricing for a perishable
goods supply chain. Computers & Industrial Engineering, Vol. 60
(2011) 302-209
[8] K. Sari, Inventory inaccuracy and performance of collaborative supply
chain practices. Industrial Management & Data systems,Vol. 108 No. 4
(2008) 495-509.
[9] Sandra Transchel, Stefan Minner, Periodic review inventory-control for
perishable products under service level constraints. OR Spectrum,
Vol.32 (2010) 979-996.
[10] Aiying Rong, Renzo Akkerman , MartinGrunow , An optimization
approach for managing freshfood quality throughout the supply chain.
International Journal of Production Economics, (2009)
[11] Yong He, Shou-Yang Wang , K.K. Lai , An optimal productioninventory
model for deteriorating items with multiple market demand.
European Journal of Operational Research, Vol.203 (2010) 593-600.
[12] Francis Vanek, Yao Sun, Transportation versus perishability in life cycle
energy consumption: A case study of the temperature-controlled food
product supply chain. Transportation Research Part D , (2008) 383-391.
[13] Silpa Sagheer, S.S. Yadav , S.G. Deshmukh, Developing a conceptual
framework for assessing competitiveness of India-s agri food chain.
International Journal of Emerging markets, Vol 4 (2009) 137-159.
[14] Randy Stringer, Naiqan Sang, Andre Crpooenstedtn, Producers,
Processors, and Procurement Decisions: The Case of vegetable supply
chain in china. World Development , Vol. 37 No. 11 (2009) 1773-1780.
[15] P. Engelseth, Food product traceability and supply network integration.
Journal of Business & Industrial Marketing, (2009) 421-430.
[16] M. Bevilacqua, F.E. Ciarapica , G. Giacchetta, Business process
reengineering of a supply chain and a traceability system: a case study.
Journal of Food Engineering, Vol.93 (2009) 13-22.
[17] Charles X. Wang, Scott Webster , Markdown money contracts for
perishable goods with clearance pricing. European Journal of
Operational Research, Vol.196 (2009) 1113-1122.
[18] Supply Chain Council (2004), available at: www.supply-chain.org
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:62009", author = "Sherine Beshara and Khaled S. El-Kilany and Noha M. Galal", title = "Simulation of Agri-Food Supply Chains", abstract = "Supply chain management has become more
challenging with the emerging trend of globalization and
sustainability. Lately, research related to perishable products supply
chains, in particular agricultural food products, has emerged. This is
attributed to the additional complexity of managing this type of
supply chains with the recently increased concern of public health,
food quality, food safety, demand and price variability, and the
limited lifetime of these products. Inventory management for agrifood
supply chains is of vital importance due to the product
perishability and customers- strive for quality. This paper
concentrates on developing a simulation model of a real life case
study of a two echelon production-distribution system for agri-food
products. The objective is to improve a set of performance measures
by developing a simulation model that helps in evaluating and
analysing the performance of these supply chains. Simulation results
showed that it can help in improving overall system performance.", keywords = "Agri-food supply chains, inventory model,
modelling and Simulation, supply chain.", volume = "6", number = "5", pages = "982-6", }
