Interval-parameter chance-constrained programming model for uncertainty-based decision making in tire retreading industry. (20th November 2017)

• Record Type: Journal Article
• Authors: Simic, Vladimir; Dabic-Ostojic, Svetlana
• Is Part Of: Journal of cleaner production. Volume 167(2017)
• Page Start: 1490
• Page End: 1498
• Publication Date: 2017-11-20
• Subjects: Used tires -- Retreading -- Management -- Chance-constrained programming -- Interval-parameter programming -- Uncertainty; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2016.10.122
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Tire retreading is an economically attractive and environmentally beneficial process for extending the lifetime of used tires. It reduces the negative influence of used tires on the environment as well as natural resources exploitation. According to the latest data, 4.7 million units of used truck tires were retreaded in 2014 in Europe. This paper proposes an interval-parameter chance-constrained programming model for uncertainty-based decision making in tire retreading industry. A case study is conducted in order to demonstrate its potentials and applicability. When constraints violation level increases (0.01, 0.05 and 0.10), the system profit obtained in the analyzed nine-year planning horizon correspondingly raises (€[35.08, 82.03] × 10 6, €[38.94, 90.78] × 10 6 and €[40.87, 95.16] × 10 6 respectively). The uncertainty degree of the objective function under three considered system violation levels is around 80%, which demonstrates that used tires retreading management systems are highly uncertain. Profit per tonne of processed used tires is in €[1594.64, 3730.84] interval. The developed model can efficiently handle uncertainties expressed as interval values and probability distributions. It can address multiple interrelationships among numerous components of used tires retreading management systems. The proposed model can examine various admissible risk levels of violating retreading capacities. It can provide a trade-off between economic efficiency of tires retreading management systems and capacity constraints violations. Compared with the conventional chance-constrained programming approach, the formulated model can incorporate much more uncertain information. The presented model can provide valuable support for tire retreading managers in avoiding inferior or simply wrong decisions. In fact, it can help tire retreading managers optimize long-term purchasing, retreading and inventory planning schemes, and allocation patterns of retreaded, reusable and end-of-life tires under multiple uncertainties. The proposed model can be extended to other environmental problems related to part worn or worn-out products. Graphical abstract: Highlights: An interval-parameter chance-constrained programming model for decision making in tire retreading industry is developed. The model can tackle uncertainties expressed as intervals and probability distributions. The model can examine various admissible risk levels of violating retreading capacities. The model can provide a trade-off between economic efficiency and reliability of tires retreading management systems. The model can provide support for tire retreading managers to avoid inferior or simply wrong decisions.