Mathematical Models in Logistic System Design

1988 ◽  
pp. 210-257
Author(s):  
Lucio Bianco
Keyword(s):  
Mathematical Models ◽  
System Design

Research and Design on a New Roll of Material Conveying Composite Regulating Machine System

2012 ◽  
Vol 503-504 ◽  
pp. 432-436
Author(s):  
Jun Xu Liu
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
System Design ◽  
Structure Design ◽  
Machine System ◽  
Design Structure ◽  
Conceptual Designs ◽  
Research And Design

This paper studies the old offset machine mathematical model, corrects the shortcomings of its mathematical model and presents a more effective, more reasonable mathematical models. Then the conceptual designs, system design, structure design of the model are carried out. After nearly 2 years operating, the deviation adjusting mechanism has been proved to possess a good practicability and adjusting deviation.

scholarly journals Mathematical Modelling of Solar Thermal Collectors and Storages

2019 ◽  
Vol 22 (4) ◽  
pp. 128-133
Author(s):  
János Tóth ◽  
István Farkas
Keyword(s):  
Mathematical Modelling ◽  
Mathematical Models ◽  
System Design ◽  
Solar Thermal ◽  
Hardware In The Loop ◽  
Thermal Systems ◽  
Solar Thermal Collectors ◽  
The Difference

Abstract Block-oriented modelling is a powerful tool in system design. The models developed this way can be used to study various systems, such as solar thermal systems. In the work presented, main goal is to compare different mathematical models of solar thermal devices. The difference in accuracy of such models in respect to the possibilities of a hardware-in-the-loop simulation will be discussed. Two models of solar thermal collectors will be compared and used in a system containing two different heat storages in order to study the behaviour of these models. The tests were carried out in a Simulink based block-oriented environment called SimSolar.

Using Mathematical Models of the Learning Curve in Training System Design

1985 ◽  
Vol 29 (8) ◽  
pp. 735-739 ◽  
Author(s):  
Steven L. Johnson
Keyword(s):  
Mathematical Modeling ◽  
Learning Curve ◽  
Mathematical Models ◽  
System Design ◽  
Training System ◽  
Design Development ◽  
Behavioral Sciences ◽  
Training Systems ◽  
Manufacturing Engineering ◽  
And Control

This paper reviews and synthesizes some of the literature on the mathematical modeling of the learning curve that has been developed by many diverse technical disciplines. These disciplines include the behavioral sciences, manufacturing engineering, and accounting. The paper discusses the relationships among the models and the potential uses of the models in the design, development, and control of training systems.

Mathematical Models for Manufacturing Systems Capacity Planning and Expansion – An Overview

2015 ◽  
Vol 791 ◽  
pp. 125-131 ◽  
Author(s):  
Arkadiusz Gola ◽  
Marcin Relich ◽  
Grzegorz Kłosowski ◽  
Antoni Świć
Keyword(s):  
Mathematical Models ◽  
System Design ◽  
Capacity Planning ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Optimal Investment ◽  
System Capacity ◽  
Market Demand ◽  
Manufacturing System Design ◽  
Major Decision

When planning a new manufacturing system, the optimal investment in the system capacity is a major decision to make. The problem of capacity planning is not an easy because of the unpredictable character of the market demand and multi-criteria optimization character of the task. Therefore there is still no one complex methodology of the capacity planning and management. In this paper some mathematical models for capacity planning which can be used at the stage of manufacturing system design or expansion are presented.

Analytic Techniques for the Assessment of Operator Workload

1987 ◽  
Vol 31 (3) ◽  
pp. 368-372 ◽  
Author(s):  
Susan G. Hill ◽  
Brian D. Plamondon ◽  
Walter W. Wierwille ◽  
Robert J. Lysaght ◽  
A. O. Dick ◽  
...  
Keyword(s):  
Mathematical Models ◽  
System Design ◽  
Expert Opinion ◽  
System Development ◽  
Simulation Models ◽  
Analytic Methods ◽  
Design Flexibility ◽  
Operator Workload

Workload techniques may be divided into two broad classes: 1) Analytic techniques — predictive techniques that may be applied early in system design before “operator-in-the-loop” studies; and 2) Empirical techniques — workload measurements taken with “operator-in-the-loop” during simulator, prototype, or system evaluations. Described here are five categories of the analytic techniques: 1) Comparability Analysis; 2) Mathematical Models; 3) Expert Opinion; 4) Task Analytic Methods; and 5) Simulation Models. A description, with examples, is given for each category. The motivation for focusing on the analytic techniques lies in their application during the earliest stages of system development where the greatest design flexibility is available at the least cost.

Applied Expert System Design for Energy-Efficient Distillation

2013 ◽  
Vol 278-280 ◽  
pp. 531-534
Author(s):  
Rui Duan Li ◽  
Wei Ping Gao
Keyword(s):  
Expert System ◽  
Optimal Design ◽  
Expert Systems ◽  
Mathematical Models ◽  
System Design ◽  
Knowledge Base ◽  
Energy Efficient ◽  
Distillation Process ◽  
System Software ◽  
Windows Xp

There are so many energy-efficient distillation processes that it is difficult to select the best distillation process and achieve optimal design for a mixture of separation. Studying on different energy-efficient distillation processes, and we finally extracted 30 typical energy-efficient distillation processes, and established mathematical models of these processes to optimize and design. The characters and applicable conditions of every flow were obtained. According to the summary, we build a knowledge base for the expert systems. This was main content of the knowledge base of the system software. This expert system software ，based on windows XP system, was installed with Prolog and. Net.

scholarly journals Weighted networks in socio-technical systems: Concepts and challenges

2020 ◽  
Author(s):  
Z. Stojanov ◽  
J. Stojanov ◽  
G. Jotanovic ◽  
D. Dobrilovic
Keyword(s):  
Social Networks ◽  
Comparative Analysis ◽  
Mathematical Models ◽  
System Design ◽  
Scientific Collaboration ◽  
Urban Traffic ◽  
Multidisciplinary Teams ◽  
Weighted Networks ◽  
Technical Systems ◽  
Basic Concepts

Socio-technical systems join together humans and technique. Basic concepts and principles of socio-technical systems are outlined, as well as weighted networks as the appropriate mathematical models. Particular examples of socio-technical systems with various usages of weighted networks in domains such as airline connection networks, scientific collaboration, social networks, software engineering and urban traffic are presented. Comparative analysis of the selected examples is outlined with the focus on the nature and functions of nodes, links and weights. The identified challenges, such as the creation of networks, evolving nature of systems, and the need for multidisciplinary teams in the system design are discussed.

Vision Based Eccentricity Measurement of Auto-Hub and its Simulation

2012 ◽  
Vol 503-504 ◽  
pp. 1420-1423 ◽  
Author(s):  
Feng Ling Zhang ◽  
Rui Han ◽  
Yin Peng ◽  
Lei Wang
Keyword(s):  
Machine Vision ◽  
Mathematical Models ◽  
System Design ◽  
Mechanical System ◽  
Measurement System ◽  
Rotation Angle ◽  
Angle Error ◽  
Rotation Center ◽  
Bolt Holes

A machine vision based measurement system of auto-hub’s eccentricity between the center circle and the pitch circle of bolt holes is proposed in this article. Pictures of all bolt holes are shot when the auto-hub is rotating. The eccentricity can be calculated by tiling these pictures to a global image. There are some error factors in the system such as run-out of rotation center, inclined platform, rotation angle error, tilted auto-hub’s surface, roundness of the center hole and angle between bolt holes uneven. Mathematical models of these error factors are studied. By stimulating all these error factors, run-out of rotation center has the greatest impact and some key parameters are given in mechanical system design.

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