THE RESEARCH OF OPTIMAL DELIVERY TECHNOLOGY OF CONFECTIONERY IN A SUPPLY CHAIN

Аннотация

This research is dedicated to the issue of choosing the optimal technology of each participant in a supply chain, namely the transportation mode choice (road or rail) during the trunk traffic, the choice of optimal technology of loading and unloading machines of wholesaler (mechanized or automated). The optimal delivery technology of confectionery while shipping in Ukraine of the chain participants and the chain on the whole have been determined.

 

Keywords: transport mode, delivery, distribution centre, supply chain.

Литература

References

Hyland, M. F., Mahmassani, H.S., & Bou Mjahed, L. (2016). Analytical models of rail transportation service in the grain supply chain: Deconstructing the operational and economic advantages of shuttle train service. Transportation Research Part E: Logistics and Transportation Review; 93, 294-315.

Nagurney, A. (2006). On the relationship between supply chain and transportation network equilibria: A supernetwork equivalence with computations. Transportation Research Part E: Logistics and Transportation Review; 42, 293-316.

Tsao, Y-C, & Lu, J-C. (2012). A supply chain network design considering transportation cost discounts. Transportation Research Part E: Logistics and Transportation Review, 48, 401-414.

Wilson, M.C. (2007) The impact of transportation disruptions on supply chain performance. Transportation Research Part E: Logistics and Transportation Review, 43, 295-320.

Yamada, T. & Febri, Z. (2015). Freight transport network design using particle swarm optimisation in supply chain–transport supernetwork equilibrium. Transportation Research Part E: Logistics and Transportation Review 2015, 75, 164-187.

Yamada, T., Imai, K., Nakamura, T., et al. (2011). A supply chain-transport supernetwork equilibrium model with the behaviour of freight carriers. Transportation Research Part E: Logistics and Transportation Review, 47, 887-907.

Chopra, S. (2003) Designing the distribution network in a supply chain. Transportation Research Part E: Logistics and Transportation Review, 39, 123-140

Sheu, J.B. & Kundu, T. (2017). Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context. Transportation Research Part E: Logistics and Transportation Review,7, 279-238.

Feng X, Moon, I. & Ryu K. (2017). Warehouse capacity sharing via transshipment for an integrated two-echelon supply chain. Transportation Research Part E: Logistics and Transportation Review, 104, 17-35.

Mason, S.J., Mauricio Ribera, P., Farris, J.A., et al. (2003). Integrating the warehousing and transportation functions of the supply chain. Transportation Research Part E: Logistics and Transportation Review, 39, 141-159.

Nagurney, A,. Saberi, S., Shukla, S., et al. (2015). Supply chain network competition in price and quality with multiple manufacturers and freight service providers. Transportation Research Part E: Logistics and Transportation Review, 77, 248-267.

Dong, Y. & Xu, K. A. (2002). Supply chain model of vendor managed inventory. Transportation Research Part E: Logistics and Transportation Review, 38, 75-95.

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Lin, Z. (2016). Price promotion with reference price effects in supply chain. Transportation Research Part E: Logistics and Transportation Review, 85, 52-68.

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Література

Hyland, M. F., Mahmassani, H.S., & Bou Mjahed, L. (2016). Analytical models of rail transportation service in the grain supply chain: Deconstructing the operational and economic advantages of shuttle train service. Transportation Research Part E: Logistics and Transportation Review; 93, 294-315.

Nagurney, A. (2006). On the relationship between supply chain and transportation network equilibria: A supernetwork equivalence with computations. Transportation Research Part E: Logistics and Transportation Review; 42, 293-316.

Tsao, Y-C, & Lu, J-C. (2012). A supply chain network design considering transportation cost discounts. Transportation Research Part E: Logistics and Transportation Review, 48, 401-414.

Wilson, M.C. (2007) The impact of transportation disruptions on supply chain performance. Transportation Research Part E: Logistics and Transportation Review, 43, 295-320.

Yamada, T. & Febri, Z. (2015). Freight transport network design using particle swarm optimisation in supply chain–transport supernetwork equilibrium. Transportation Research Part E: Logistics and Transportation Review 2015, 75, 164-187.

Yamada, T., Imai, K., Nakamura, T., et al. (2011). A supply chain-transport supernetwork equilibrium model with the behaviour of freight carriers. Transportation Research Part E: Logistics and Transportation Review, 47, 887-907.

Chopra, S. (2003) Designing the distribution network in a supply chain. Transportation Research Part E: Logistics and Transportation Review, 39, 123-140

Sheu, J.B. & Kundu, T. (2017). Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context. Transportation Research Part E: Logistics and Transportation Review,7, 279-238.

Feng X, Moon, I. & Ryu K. (2017). Warehouse capacity sharing via transshipment for an integrated two-echelon supply chain. Transportation Research Part E: Logistics and Transportation Review, 104, 17-35.

Mason, S.J., Mauricio Ribera, P., Farris, J.A., et al. (2003). Integrating the warehousing and transportation functions of the supply chain. Transportation Research Part E: Logistics and Transportation Review, 39, 141-159.

Nagurney, A,. Saberi, S., Shukla, S., et al. (2015). Supply chain network competition in price and quality with multiple manufacturers and freight service providers. Transportation Research Part E: Logistics and Transportation Review, 77, 248-267.

Dong, Y. & Xu, K. A. (2002). Supply chain model of vendor managed inventory. Transportation Research Part E: Logistics and Transportation Review, 38, 75-95.

Lai, K-h, Ngai, E.W.T. & Cheng T.C.E. (2002). Measures for evaluating supply chain performance in transport logistics. Transportation Research Part E: Logistics and Transportation Review, 38, 439-456.

Lin, Z. (2016). Price promotion with reference price effects in supply chain. Transportation Research Part E: Logistics and Transportation Review, 85, 52-68.

Mesa-Arango, R. & Ukkusuri, S. V. (2015). Demand clustering in freight logistics networks. Transportation Research Part E: Logistics and Transportation Review, 81: 36-51.

Rezapour, S., Farahani, R.Z., Dullaert, W., et al. (2014). Designing a new supply chain for competition against an existing supply chain. Transportation Research Part E: Logistics and Transportation Review, 67, 124-140.

Rutner, S.M., Gibson, B.J. & Williams, S.R. (2003). The impacts of the integrated logistics systems on electronic commerce and enterprise resource planning systems. Transportation Research Part E: Logistics and Transportation Review, 39, 83-93.

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Опубликован
2018-10-01