Results 11 to 20 of about 22,036,383 (349)
Learning to Approximate Industrial Problems by Operations Research Classic Problems
Operational Research, 2021 Operations research (OR) practitioners are accustomed to dealing with variants of classic OR problems. Indeed, an industrial problem often looks like a traveling salesman problem, a vehicle routing problem, a shortest path problem, etc., but has an ...
Axel Parmentier
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Soft OR and Practice: The Contribution of the Founders of Operations Research
Operational Research, 2021 “Soft Operation Research and Practice: The Contribution of the Founders of Operations Research” explores two themes relating to the 43 people whose profiles constitute the Assad and Gass book referred to in the article.
R. Dyson, F. O'Brien, Devan B. Shah
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An Imitation and Heuristic Method for Scheduling with Subcontracted Resources
Mathematics, 2021 A scheduling problem with subcontracted resources is widely spread and is associated with the distribution of limited renewable and non-renewable resources, both own and subcontracted ones based on the work’s due dates and the earliest start time ...
Anna Antonova +2 more
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Inventory Routing Analysis for Maritime LNG Supply of German Ports
Transport and Telecommunication, 2021 After the implementation of Emission Control Areas (ECA) in Northern Europe in 2015, ship operators have to decide for new compliance methods. Among different abatement technologies, also the use of LNG as maritime fuel is one option.
Prause Felix, Prause Gunnar
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Operations research games: A survey [PDF]
Top, 2001 This paper surveys the research area of cooperative games associated with several types of operations research problems in which various decision makers (players) are involved.Cooperating players not only face a joint optimisation problem in trying, e.g., to minimise total joint costs, but also face an additional allocation problem in how to distribute
Borm, P.E.M. +2 more
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Algorithms, 2020 This paper studies the hybridization of Mixed Integer Programming (MIP) with dual heuristics and machine learning techniques, to provide dual bounds for a large scale optimization problem from an industrial application.
Nicolas Dupin, El-Ghazali Talbi
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Education Sciences, 2022 The purpose of this study is to analyze the increase in the mathematical problem-solving (MPS), mathematical communication (MC), and self-proficiency (SPr) abilities of students by applying the team-assisted individualization type (TAI) of the ...
Georgina Maria Tinungki +3 more
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European Transport Research Review, 2019 Synchromodality, also referred to as “synchronized intermodality”, employs multiple transport modes in a flexible, dynamic way in order to induce a modal shift towards more environmentally friendly transport modes like rail or inland waterways, without ...
Nina Lemmens +2 more
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A comparison of Artificial Bee Colony algorithm and the Genetic Algorithm with the purpose of minimizing the total distance for the Vehicle Routing Problem [PDF]
Revista Română de Informatică și Automatică, 2022 Nowadays, the vehicle routing problem is one of the most important combinational optimization problems and it has received much attention because of its real application in industrial and service-related contexts.
Amel Mounia DJEBBAR, Chérifa BOUDIA
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Approaches for the Prediction of Lead Times in an Engineer to Order Environment—A Systematic Review
IEEE Access, 2020 The interest of manufacturing companies in a sufficient prediction of lead times is continuously increasing - especially in engineer to order environments with typically a large number of individual parts and complex production processes.
Peter Burggraf +3 more
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