89 research outputs found

    Column generation approaches to ship scheduling with flexible cargo sizes

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    We present a Dantzig-Wolfe procedure for the ship scheduling problem with flexible cargo sizes. This problem is similar to the well-known pickup and delivery problem with time windows, but the cargo sizes are defined by an interval instead of a fixed value. We show that the introduction of flexible cargo sizes to the column generation framework is not straightforward, and we handle the flexible cargo sizes heuristically when solving the subproblems. This leads to convergence issues in the branch-and-price search tree, and the optimal solution cannot be guaranteed. Hence we have introduced a method that generates an upper bound on the optimal objective. We have compared our method with an a priori column generation approach, and our computational experiments on real world cases show that the Dantzig-Wolfe approach is faster than the a priori generation of columns, and we are able to deal with larger or more loosely constrained instances. By using the techniques introduced in this paper, a more extensive set of real world cases can be solved either to optimality or within a small deviation from optimalityTransportation; integer programming; dynamic programming

    Class, Race, and the Discourse of “College for All.” A Response to “Schooling for Democracy”

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    We critique the “college for all” discourse by unveiling its relationship to the politics of education, the broader economic and political contexts, and the class and race structures embedded in society and schooling, including higher education. We analyze the current and future labor markets to demonstrate the ways that the “college for all” discourse overstates the need for math and science knowledge and skills within the workforce, and we analyze the debt burdens associated with college attendance and completion to demonstrate that the promised benefits of “college for all” are often illusory for low-income, racially, culturally, and linguistically diverse students. Thus, we argue that “college for all”—just like “no child left behind” and the “race to the top”—functions as an ideological velvet to soften education policy talk, talk that actually carries big sticks that punish the very students proclaimed to be the beneficiaries of the proposed changes in schooling. The results of schooling practices articulated by the “college for all” discourse are (a) the reinforcement of material barriers to the stated aims of educational access and equity, and (b) the fortification of the class and race status quo. We examine the ways that the transformation of schooling must be linked to the establishment of just social, economic, and political institutions, and to the formation of a citizenry prepared to engage in the struggles for these institutions

    A MILP model for quasi-periodic strategic train timetabling

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    In railways, the long-term strategic planning is the process of evaluating improvements to the railway network (e.g., upgrading a single track line to a double track line) and changes to the composition/frequency of train services (e.g., adding 1 train per hour along a certain route). The effects of different combinations of infrastructure upgrades and updated train services (also called scenarios), are usually evaluated by creating new feasible timetables followed by extensive simulation. Strategic Train Timetabling (STT) is indeed the task of producing new tentative timetables for these what-if scenarios. Unlike the more classic train timetabling, STT can often overlook (or at least give less importance to) some complementary aspects, such as crew and rolling stock scheduling. On the other hand, the different scenarios are likely to lead to very different timetables, hindering the common and effective practice of using existing timetables to warm start the solution process. We introduce the concept of quasi-periodic timetables, that are timetables where certain subsets of trains need to start at almost (rather than precisely) the same minute of every period. The additional flexibility offered by quasi-periodic timetables turned out to be crucial in real-life scenarios characterized by elevated train traffic. We describe a MILP based approach for strategic quasi-periodic train timetabling and we test it on 4 different realistic what-if scenarios for an important line in Norway. The timetables produced by our algorithm were ultimately used by the Norwegian Railway Directorate to select 3 out of the 4 scenarios for phasing the progressive expansion of the JČŞren line.publishedVersio

    Closing Information Gaps in Kakuma Refugee Camp: A Youth Participatory Action Research Study

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    This study explores the role of academic and social support on young people’s educational pursuits in Kenya’s Kakuma Refugee Camp. Pairing ethnographic methods with youth participatory action research, we find that support often manifests as abstract, decontextualized encouragement with little grounding in the educational opportunity structure. We argue that this motivational discourse generates information gaps, fueling aspirations that neither prepare youth for understanding, nor navigating the constraints they will encounter. In response, we designed a social media platform orienting Kakuma youth to the opportunity structure, while encouraging them to set realistic goals and plan accordingly. Designing a resource by, for, and with Kakuma youth, we illustrate that refugees have the rights and means to access information on which their everyday well‐being and futures depend. This study illustrates that critical understanding of local and global opportunities can empower, rather than demoralize, young people as they shape their futures in exile.HighlightsEducational support has limited value when decontextualized from opportunity structures.Critical understanding of opportunity constraints can empower, rather than demoralize, youth.Balancing hope and critical awareness is a central challenge in participatory action research, and in settings of forced displacement.Refugee youth advocate for their right to information on which their well‐being and futures depend.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147082/1/ajcp12277_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/147082/2/ajcp12277.pd
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