Vehicles Allocation for Fruit Distribution Considering CO 2 Emissions and Decisions on Subcontracting

Rafael Tordecilla-Madera, Andrés Polo and Adrián Cañón
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Rafael Tordecilla-Madera: Program of Industrial Engineering, Fundación Universitaria Agraria de Colombia, Calle 170#54A-10, Bogotá 111166, Colombia
Andrés Polo: Program of Industrial Engineering, Fundación Universitaria Agraria de Colombia, Calle 170#54A-10, Bogotá 111166, Colombia
Adrián Cañón: Faculty of Administration, Finance and Economic Sciences, Universidad EAN, Calle 79#11-45, Bogotá 110221, Colombia

Sustainability, 2018, vol. 10, issue 7, 1-21

Abstract: An important problem in rural-area supply chains is how to transport the harvested fruit to urban areas. Low- and medium-capacity vehicles are used in Colombia to carry out this activity. Operating them comes with an inherent cost and generates carbon emissions. Normally, minimizing operating costs and minimizing carbon emissions are conflicting objectives to allocate such vehicles efficiently in any of the supply chain echelons. We designed a multi-objective mixed-integer programming model to address this problem and solved it via the ε -constraint method. It includes decisions mainly about quantities of fruit to transport and store, types of vehicles to allocate according to their capacities, CO 2 emission levels of these vehicles, and subcontracting on the collection process. The main results show two schedules for allocating the vehicles, showing minimum and maximum CO 2 emissions. Minimum CO 2 emissions scheme require subcontracting and the maximum CO 2 scheme does not. Then, a Pareto frontier shows that CO 2 emissions level are inversely proportional to total management cost for different scenarios in which fruit supply was modified.

Keywords: CO 2 emissions; fruits supply chain; ε -constraint method; perishable food transportation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
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