Mixed integer linear programming model for dynamic supplier selection problem considering discounts
Supplier selection is one of the most important elements in supply chain management. This function involves evaluation of many factors such as, material costs, transportation costs, quality, delays, supplier capacity, storage capacity and others. Each of
Adi Wicaksono Purnawan +4 more
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Multi-Location Assortment Optimization with Drone and Human Courier Joint Delivery
This paper studies the constrained multi-location assortment optimization problem under joint delivery by drone and human courier. To maximize the revenue of the retailer, product assortment and last-mile delivery methods are configured simultaneously ...
Mengting Wu, Zhi Pei
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An Efficient Mixed Integer Linear Programming Model for the Minimum Spanning Tree Problem
Finding a minimum spanning tree in a given network is a famous combinatorial optimization problem that appears in different engineering applications.
Tamer F. Abdelmaguid
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An A-Posteriori Multi-Objective Optimization Method for MILP-Based Distribution Expansion Planning
Distribution expansion planning (DEP) is a mixed integer nonlinear programming (MINLP) problem and contains various options to be considered where the nonlinearity makes it difficult to solve.
Reza Gholizadeh-Roshanagh +2 more
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Security-constrained unit commitment (SCUC) is a complex optimization problem in power system operation, which is computationally intensive. To bring significant time-savings, this paper presents a graph convolutional network (GCN)-based SCUC approach ...
Xian Tang +3 more
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Collaborative maintenance scheduling and unit commitment for hydropower and thermal power systems considering cascade hydropower coupling [PDF]
To avoid possible conflicts between the maintenance scheduling and the unit commitment for hydro-thermal power systems under the traditional non-collaborative optimization mode,a collaborative maintenance scheduling and unit commitment model for hydro ...
DAI Jiang +5 more
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Benchmarks for Current Linear and Mixed Integer Optimization Solvers
Linear programming (LP) and mixed integer linear programming (MILP) problems belong among very important class of problems that find their applications in various managerial consequences.
Josef Jablonský
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An Inverse QSAR Method Based on Linear Regression and Integer Programming
Background: Drug design is one of the important applications of biological science. Extensive studies have been done on computer-aided drug design based on inverse quantitative structure activity relationship (inverse QSAR), which is to infer chemical ...
Jianshen Zhu +5 more
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Optimal Antibody Purification Strategies Using Data-Driven Models
This work addresses the multiscale optimization of the purification processes of antibody fragments. Chromatography decisions in the manufacturing processes are optimized, including the number of chromatography columns and their sizes, the number of ...
Songsong Liu, Lazaros G. Papageorgiou
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Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes
We aim at maximizing the comfort of operators in mixed-model assembly lines. To achieve this goal, we evaluate two assembly line balancing models: the first that minimizes the maximum ergonomic risk and the second one that minimizes the average absolute ...
Joaquin Bautista +2 more
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