一种用于模拟和优化生产成本系统的新方法
1Department of Computer Science, College of Computer Engineering and Science, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Heliyon
|December 25, 2024
概括
本研究介绍了一种线性编程应用程序,用于模拟和优化生产成本. 该工具有效地将成本降至最低,最大限度地利用资源,并帮助在现实场景中做出决策.
科学领域:
- 运营研究 运营研究
- 管理科学 管理科学
背景情况:
- 生产成本计算系统是复杂的,需要有效的管理.
- 优化这些系统对于利能力和资源配置至关重要.
研究的目的:
- 开发和验证一种用于模拟和优化生产成本计算系统的新方法.
- 实现这种方法作为一个用户友好的计算机应用程序.
主要方法:
- 利用线性编程算法来建模生产成本行为.
- 开发了一个标准的平台计算机应用程序,用于自动化处理.
- 集成了一个数据库和用户界面,用于数据存储和可访问性.
主要成果:
- 该应用程序准确地模拟了生产成本计算系统.
- 实现了最佳解决方案,包括成本最小化和资源最大化.
- 证明有效的利计算和高效的资源利用.
结论:
- 线性编程方法是控制生产成本的强大工具.
- 开发的应用程序为决策提供了宝贵的见解.
- 该模型的效率和多功能性适用于各种工业部门.
相关概念视频
Production Efficiency
16.7K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
16.7K
Control Systems
952
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
At the heart...
952
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
25
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
25
Introduction to Statistical Process Control
51
Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
51
Response Surface Methodology
62
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
62
Estimation of the Physical Quantities
4.0K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.0K


