实例数据集用于资源有限的项目调度,材料流量不同
Marco Gehring1, Rebekka Volk1, Frank Schultmann1
1Karlsruhe Institute of Technology, Institute for Industrial Production (IIP), Hertzstr. 16, 76187 Karlsruhe, Germany.
Data in brief
|June 29, 2023
概括
这篇数据文章介绍了资源受限项目计划问题与累积资源 (RCPSP/c) 的数据集,对于核拆除等项目至关重要. 它提供了192个实例和基准解决方案,以推进调度方法研究.
科学领域:
- 运营研究 运营研究
- 计算机科学 计算机科学
- 工程管理工程管理工程管理
背景情况:
- 由于处理和储存能力有限,与材料流量分歧的项目安排存在挑战.
- 核拆除和拆除项目是复杂材料管理要求的例子.
- 现有的调度模型可能无法完全捕捉累积资源限制的复杂性.
研究的目的:
- 引入一个新的数据集,用于资源有限的项目规划问题和累积资源 (RCPSP/c).
- 为评估和开发RCPSP/c.的新解决方案方法提供一个基准.
- 促进研究涉及资源生产和消费的调度问题.
主要方法:
- 问题作为一个资源受限的项目安排问题与累积资源 (RCPSP/c) 的数学表述.
- 产生了192个具有不同复杂性的人工实例.
- 计算每个实例的启发式解决方案,包括不同的目标函数变量.
主要成果:
- 现在可以获得192个RCPSP/c实例的全面数据集.
- 为每个实例提供启发式解决方案和建模变体.
- 该数据集可以对调度算法进行比较分析.
结论:
- 该数据集是RCPSP/c.的宝贵基准.
- 它支持对复杂项目调度的启发式和精确方法的评估.
- 促进了对工业拆除和材料流量管理的调度进步.
相关概念视频
Design Example: Managing Concrete Workability
102
This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
102
Cluster Sampling Method
12.0K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.0K
Design Example: Aggregate Gradation
125
The right type and quality of aggregates are crucial for concrete as they significantly influence its properties, mix proportions, and cost-effectiveness. If different sources are available for sand, the commonly used fine aggregate in concrete, the selection of sand is primarily based on its gradation.
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
125
Distributed Loads: Problem Solving
680
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
680
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
73
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
73
Rapidly Varying Flow
101
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
101


