A bi-objective mathematical model for integrated planning of sugarcane harvesting and transport operations

Motivated by a real situation arising in the Brazilian sugarcane industry, this paper addresses the integrated planning of harvesting and transport operations over a multi-period planning horizon. The aim is to develop a tactical plan for the deployment of harvesting and transport equipment that set...

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Vydané v:Computers & operations research Ročník 134; s. 105419
Hlavní autori: Aliano Filho, Angelo, Melo, Teresa, Pato, Margarida Vaz
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Elsevier Ltd 01.10.2021
Pergamon Press Inc
Predmet:
Crop yield
Decision making
Economic analysis
Equipment costs
Harvesting
Integrated sugarcane harvesting and transport planning
Linear programming
Mathematical models
Milling (machining)
Mixed integer
Mixed-integer programming
Multi-objective optimization
Nonlinear programming
Operations research
Planning
Road transportation
Schedules
Sugar industry
Sugarcane
Weather
Mixed-integer programming
Multi-objective optimization
Integrated sugarcane harvesting and transport planning
ISSN:0305-0548, 1873-765X, 0305-0548
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Shrnutí:Motivated by a real situation arising in the Brazilian sugarcane industry, this paper addresses the integrated planning of harvesting and transport operations over a multi-period planning horizon. The aim is to develop a tactical plan for the deployment of harvesting and transport equipment that sets the periods for the execution of the harvesting operations on the sugarcane fields and the type of harvesting machines and road haulage vehicles to be operated. These decisions are made subject to multiple constraints related to the projected crop yield, resource availability, demand for sugarcane at the mills and further technical requirements specific to the harvesting operations. The tactical plan to be determined minimizes the total cost incurred by the equipment used and the total time required to harvest all the fields. We propose a bi-objective mixed-integer non-linear programming model for this new problem. A computational study is conducted for test instances capturing the characteristics of a Brazilian milling company. Pareto-optimal solutions are identified by the Progressive Bounded Constraint method that is extended to the problem at hand. A comparative analysis highlights the trade-offs between economic performance and harvesting efficiency, thereby supporting the decision maker in making a more informed choice of the preferred tactical plan. Useful managerial insights are also provided into the profile of the harvesting and transport resources that should be used under different weather conditions and work schedules. •Tactical planning of harvesting and transport operations over multiple periods.•Novel bi-objective mixed-integer non-linear programming formulation.•Alternative tactical plans based on real data from a Brazilian sugarcane company.•Identification of trade-offs between economic performance and harvesting efficiency.
Bibliografia:ObjectType-Article-1
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ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/j.cor.2021.105419