A solution method for a two-layer sustainable supply chain distribution model

This article presents an effective solution method for a two-layer, NP-hard sustainable supply chain distribution model. A DoE-guided MOGA-II optimiser based solution method is proposed for locating a set of non-dominated solutions distributed along the Pareto frontier. The solution method allows de...

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Veröffentlicht in:Computers & operations research Jg. 54; S. 204 - 217
Hauptverfasser: Validi, Sahar, Bhattacharya, Arijit, Byrne, P.J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Elsevier Ltd 01.02.2015
Pergamon Press Inc
Schlagworte:
Carbon dioxide
Computer networks
Decision making models
Design of experiment
Distribution system
Effectiveness studies
Emissions control
Experimentation
Mathematical models
MOGA-II optimiser
Multi-objective mixed-integer programming
Networks
Pareto optimality
Pareto optimum
Route optimization
Routing (telecommunications)
Solution method
Supply chain management
Supply chains
Sustainable development
Sustainable supply chain
Transportation
Ireland
Solution method
Multi-objective mixed-integer programming
MOGA-II optimiser
Distribution system
Sustainable supply chain
Design of experiment
ISSN:0305-0548, 1873-765X, 0305-0548
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Zusammenfassung:This article presents an effective solution method for a two-layer, NP-hard sustainable supply chain distribution model. A DoE-guided MOGA-II optimiser based solution method is proposed for locating a set of non-dominated solutions distributed along the Pareto frontier. The solution method allows decision-makers to prioritise the realistic solutions, while focusing on alternate transportation scenarios. The solution method has been implemented for the case of an Irish dairy processing industry׳s two-layer supply chain network. The DoE generates 6100 real feasible solutions after 100 generations of the MOGA-II optimiser which are then refined using statistical experimentation. As the decision-maker is presented with a choice of several distribution routes on the demand side of the two-layer network, TOPSIS is applied to rank the set of non-dominated solutions thus facilitating the selection of the best sustainable distribution route. The solution method characterises the Pareto solutions from disparate scenarios through numerical and statistical experimentations. A set of realistic routes from plants to consumers is derived and mapped which minimises total CO2 emissions and costs where it can be seen that the solution method outperforms existing solution methods.
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ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/j.cor.2014.06.015