Montoya-Torres, J. (Jairo)

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    Improving effectiveness of parallel machine scheduling with earliness and tardiness costs: A case study
    (Growing Science, 2019) Muñoz-Villamizar, A. (Andres); Álvarez-Sánchez-Arjona, M.J. (María Jesús); Montoya-Torres, J. (Jairo); Santos, J. (Javier)
    This paper assesses the effectiveness in scheduling independent jobs with earliness/tardiness costs and variable setup times applying the Overall Equipment Effectiveness (OEE). The OEE is a common metric for measuring the manufacturing productivity. We defined a mixed-integer linear programming formulation of the parallel machine scheduling problem with four different objective functions in order to compare different scheduling configurations. Real data, from a plastic container manufacturing company located in the Basque Country (Spain), were used to validate this approach. A sensitivity analysis was performed with different production capacities and earliness/tardiness costs in order to evaluate the trade-offs between economic performance (i.e., costs) and the partial rates of OEE (i.e., quality, performance and availability). The objective of this study is to propose a guideline to help management make decisions regarding the measurement and improvement of scheduling effectiveness through contemplating earliness, tardiness and variable setup times.
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    Assessing sustainable production: A selection of indicators aligned with the SDGs
    (2024) Viles-Díez, E. (Elisabeth); Kalemkerian, F. (Florencia); Sol-Cavallieri, M. (María); Montoya-Torres, J. (Jairo); Santos, J. (Javier)
    Sustainability is a paramount concern for manufacturing companies, necessitating the adoption of sustainable production and circular economy strategies. However, quantifying these sustainability efforts remains a formidable challenge due to the absence of a standardized framework, consequently hindering the development of effective strategies. This study presents a framework comprising 39 indicators, each accompanied by a descriptive calculation method, recommended units, and a suggested trend. These indicators were meticulously selected through a comprehensive literature review and refined via expert consensus during semi-structured interviews. To establish a tangible connection between the operational world of companies and the Sustainable Development Goals (SDGs), we employ a visualization tool – the Sankey diagram. This diagram unravels the intricate links between the selected indicators and the SDGs. Both contributions provide manufacturers with a clear roadmap to quantify and align their actions with broader global objectives.