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Setyo Tri Windras Mara's Projects

catanzaro2015_uniformssp_jump icon catanzaro2015_uniformssp_jump

A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a mathematical formulation from Catanzaro, Gouviea, and Labbe (2015). Written in Julia and JuMP, solved with Gurobi.

dasilva2020_uniformssp_jump icon dasilva2020_uniformssp_jump

A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a multicommodity flow formulation from da Silva, Chaves, and Yanasse (2020). Written in Julia and JuMP, solved with Gurobi.

dfj_formulation_tsp_pyomo icon dfj_formulation_tsp_pyomo

An implementation of Dantzig-Fulkerson-Johnson formulation for traveling salesman problem, written in Pyomo and solved with Gurobi.

evdrp_instances icon evdrp_instances

Dataset of problem instances for electric vehicle-drone routing problem, used in Mara et al. (2023).

laporte2004_uniformssp_jump icon laporte2004_uniformssp_jump

A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a mathematical formulation from Laporte, Salazar-Gonzales, and Semet (2004). Written in Julia and JuMP, solved with Gurobi.

mtz_formulation_tsp_pyomo icon mtz_formulation_tsp_pyomo

An implementation of Miller-Tucker-Zemlin formulation for traveling salesman problem, written in Pyomo and solved with Gurobi.

sequencedependent_ssp_instances icon sequencedependent_ssp_instances

Dataset of problem instances for job sequencing and tool switching problem with sequence-dependent setup times, used in Mara et al. (2021) and Rifai et al. (2022).

tangdenardo1988_uniformssp_jump icon tangdenardo1988_uniformssp_jump

A code for solving a case of job sequencing and tool switching problem (SSP) with uniform setup time, using a mathematical formulation from Tang and Denardo (1988). Written in Julia and JuMP, solved with Gurobi.

vrptwd_instances icon vrptwd_instances

Dataset of problem instances for vehicle routing problem with drones and time windows, used in Kuo et al. (2022).

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