Intermodal Freight Network Design for Transport of Perishable Products

The amount of perishable products transported via the existing intermodal freight networks has significantly increased over the last years. Perishable products tend to decay due to a wide range of external factors. Supply chain operations mismanagement causes waste of substantial volumes of perishable products every year. The heretofore proposed mathematical models optimize certain supply chain processes and reduce decay of perishable products, but primarily deal with local production, inventory, distribution, and retailing of perishable products. However, significant quantities of perishable products are delivered from different continents, which shall increase the total transportation time and decay potential of perishable products as compared to local deliveries. This paper proposes a novel optimization model to design the intermodal freight network for both local and long-haul deliveries of perishable products. The objective of the model aims to minimize the total cost associated with transportation and decay of perishable products. A set of piecewise approximations are applied to linearize the non-linear decay function for each perishable product type. CPLEX is used to solve the problem. Comprehensive numerical experiments are conducted using the intermodal freight network for import of the seafood perishable products to the United States to draw important managerial insights. Results demonstrate that increasing product decay cost may significantly change the design of intermodal freight network for transport of perishable products, cause modal shifts and affect the total transportation time and associated costs.

[1]  Maxim A. Dulebenets,et al.  A New Simulation Model for a Comprehensive Evaluation of Yard Truck Deployment Strategies at Marine Container Terminals , 2016 .

[2]  Luis Puigjaner,et al.  Simultaneous production and logistics operations planning in semicontinuous food industries , 2012 .

[3]  Michael Lütjen,et al.  Reducing food losses and carbon emission by using autonomous control – A simulation study of the intelligent container , 2015 .

[4]  Anna Nagurney,et al.  Competitive Food Supply Chain Networks with Application to Fresh Produce , 2012 .

[5]  Bilge Bilgen,et al.  Integrated production scheduling and distribution planning in dairy supply chain by hybrid modelling , 2013, Ann. Oper. Res..

[6]  Yanzhi Li,et al.  Grocery Perishables Management , 2012 .

[7]  Myo Min Aung,et al.  Temperature management for the quality assurance of a perishable food supply chain , 2014 .

[8]  B. Warf,et al.  THE PORT AUTHORITY OF NEW YORK-NEW JERSEY * , 1988 .

[9]  Sandra D. Eksioglu,et al.  Cost analysis for high-volume and long-haul transportation of densified biomass feedstock , 2013 .

[10]  Xiaojun Wang,et al.  A dynamic product quality evaluation based pricing model for perishable food supply chains , 2012 .

[11]  Jesus René Villalobos,et al.  A tactical model for planning the production and distribution of fresh produce , 2011, Ann. Oper. Res..

[12]  M. A. Dulebenets,et al.  The Vessel Scheduling Problem in a Liner Shipping Route with Heterogeneous Fleet , 2018 .

[13]  Kannan Govindan,et al.  Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food , 2014 .

[14]  Renzo Akkerman,et al.  Design and operations planning of municipal foodservice systems , 2013 .

[15]  Mihalis M. Golias,et al.  Evaluation of the floaterm concept at marine container terminals via simulation , 2015, Simul. Model. Pract. Theory.

[16]  Pedro Amorim,et al.  Lot sizing versus batching in the production and distribution planning of perishable goods , 2013 .

[17]  R. Akkerman,et al.  An optimization approach for managing fresh food quality throughout the supply chain , 2011 .

[18]  Selwyn Piramuthu,et al.  RFID and perishable inventory management with shelf-space and freshness dependent demand , 2013 .

[19]  Selwyn Piramuthu,et al.  RFID in highly perishable food supply chains – Remaining shelf life to supplant expiry date? , 2013 .

[20]  M. Dulebenets Bunker Consumption Optimization in Liner Shipping: A Metaheuristic Approach , 2015 .

[21]  Maxim A. Dulebenets,et al.  Models and solution algorithms for improving operations in marine transportation , 2015 .

[22]  K. H. Widodo,et al.  A periodical flowering-harvesting model for delivering agricultural fresh products , 2006, Eur. J. Oper. Res..

[23]  B. Slack,et al.  The Geography of Transport Systems , 2006 .