In the literature, some works deal with the two-machine flow shop scheduling problem under availability constraints. Most of them consider those constraints only for one machine at a time and also with limited unavailability periods. In this work, we were interested by the unlimited periodic and synchronized maintenance applied on both machines. The problem is NP-hard. We proposed a mixed integer programming model and a variable neighborhood search for solving large instances in order to minimize the makespan. Computational experiments show the efficiency of the proposed methods.
In this paper, an efficient rolling horizon-based heuristic is presented to solve the integrated berth allocation and crane assignment problem in bulk ports. We were guided by a real case study of a multi-terminal port, owned by our Moroccan industrial partner, under several restrictions as high tides and installation's availability. First, we proposed a mixed integer programming model for the problem. Then, we investigated a strategy to dissipate the congestion within the presented rolling horizon. A variety of experiments were conducted, and the obtained results show that the proposed methods were efficient from a practical point of view.
PurposeAccording to United Nations reports, the worldwide population is expected to reach around 9.6 billion by 2050. This forecasting emphasizes the role of phosphate-based fertilizers for developing sustainable agriculture and ensures the demand all over the planet. From this perspective, phosphate companies are racing to improve their industrial performance and guarantee the quality, reliability and integrity of information efficiently. The purpose of this paper is to propose a traceability system framework that ensures product quality tracing and real-time operations monitoring for open-pit mines.Design/methodology/approachThe authors develop a hybrid approach that integrates Business Process Model and Notation techniques with System Modeling Language to formalize several use cases and scenarios to model quality traceability processes related to open-pit mines. This framework also embeds an optimization module based on mathematical modeling approaches to optimize stockpiles’ movement and respect the distinction between different qualities.FindingsThis paper explains a successful implementation of a quality traceability tool for an African mining company. The research team was able to understand and scale down the problem faced by the managers. Further, the study is focused on improving quality tracing over time and automatizing the current compliance processes related to the mine extraction activities. The proposed tool is proved highly effective in reducing the time of tracing quality claims by 46% compared with the manual procedure. Second, the implementation of this tool reduced fuel costs by 34% and CO2 emissions by 10%.Originality/valueThe originality of the contributions lies in four aspects: (1) adapting quality traceability concept for the mining industry; (2) assessing the current trends of traceability systems considering the mining industry context; (3) hybridizing business processes re-engineering, quality system and optimization modeling; and (4) using a real case study of a phosphate company to evaluate the framework.
In this article the affiliation details for the below authors were published incorrectly.Author "Rachid Benmansour" affiliation were incorrectly given as 'Rabat Business School, BEAR-
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