Negotiations of resource allocation in the process of organization manufacturing system structure under condition of distributed resources

2017 ◽  
Vol 18 (3) ◽  
pp. 0-0
Author(s):  
Kamil Czajka ◽  
Marek Dudek
Keyword(s):  
Resource Allocation ◽  
Manufacturing System ◽  
System Structure ◽  
Resources Allocation ◽  
Distributed Resources ◽  
Distributed Structure ◽  
Negotiation Protocols

This paper focuses on the problem of resources allocation in the process of shaping distributed structure of network manufacturing system. The aim of this paper is to show the proposal of the negotiation protocols, which are applicable in the process of organization network manufacturing system under condition of distributed resources. Negotiations protocols enable to negotiate the resources allocation according to the predefined assumptions.

scholarly journals When Scarcity Meets Disparity: “Resources Allocation and COVID-19 Patients with Diabetes”

2021 ◽  
pp. 193229682199111
Author(s):  
Jacob M. Appel
Keyword(s):  
Risk Factors ◽  
Resource Allocation ◽  
Life Expectancy ◽  
Ethical Challenge ◽  
Severe Illness ◽  
Resources Allocation ◽  
Economic Disparity ◽  
Patients With Diabetes ◽  
Current Stage

The COVID-19 pandemic raised distinct challenges in the field of scarce resource allocation, a long-standing area of inquiry in the field of bioethics. Policymakers and states developed crisis guidelines for ventilator triage that incorporated such factors as immediate prognosis, long-term life expectancy, and current stage of life. Often these depend upon existing risk factors for severe illness, including diabetes. However, these algorithms generally failed to account for the underlying structural biases, including systematic racism and economic disparity, that rendered some patients more vulnerable to these conditions. This paper discusses this unique ethical challenge in resource allocation through the lens of care for patients with severe COVID-19 and diabetes.

Integrated Study of Condition Monitoring and Fault Diagnosis System for Flexible Manufacturing System

2011 ◽  
Vol 179-180 ◽  
pp. 678-684 ◽  
Author(s):  
Xi Qin Wen ◽  
Zhong Min Zhao ◽  
Zhi Yu Xie
Keyword(s):  
Fault Diagnosis ◽  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
System Structure ◽  
Diagnosis System ◽  
Software Model ◽  
Fault Diagnosis System ◽  
Fault Mechanism ◽  
Integrated Study

On the basis of analyzing multiple fault mechanism of the flexible manufacturing system (FMS), the FMS diagnosis system architecture frameworks are built. The FMS status monitoring and fault diagnosis system and software model are especially proposed. The monitoring system structure and hardware composition are discussed, and software structure is also given. Finally, the FMS monitoring and diagnosis system are developed.

scholarly journals A meta-heuristic algorithm for integrated optimization of dynamic resource allocation planning and production scheduling in parallel machine system

2019 ◽  
Vol 11 (12) ◽  
pp. 168781401989834
Author(s):  
Na Wang ◽  
Yaping Fu ◽  
Hongfeng Wang
Keyword(s):  
Resource Allocation ◽  
Heuristic Algorithm ◽  
Production Scheduling ◽  
Optimization Problem ◽  
Manufacturing System ◽  
Parallel Machine ◽  
Dynamic Resource Allocation ◽  
Integration Problem ◽  
Advanced Information Technology ◽  
Dynamic Resource

With the wide application of advanced information technology and intelligent equipment in the manufacturing system, the decisions of design and operation have become more interdependent and their integration optimization has gained great concerns from the community of operational research recently. This article investigates an optimization problem of integrating dynamic resource allocation and production schedule in a parallel machine environment. A meta-heuristic algorithm, in which heuristic-based partition, genetic-based sampling, promising index calculation, and backtracking strategies are employed, is proposed for solving the investigated integration problem in order to minimize the makespan of the manufacturing system. The experimental results on a set of random-generated test instances indicate that the presented model is effective and the proposed algorithm exhibits the satisfactory performance that outperforms two state-of-the-art algorithms from literature.

scholarly journals Optimization of distribution of emergency resources for emergency rescue points of oil and gas pipelines

2021 ◽  
Vol 266 ◽  
pp. 01016
Author(s):  
Y.Y. Chen ◽  
L.B. Zhang ◽  
J.Q. Hu ◽  
Z.Y. Liu
Keyword(s):  
Resource Allocation ◽  
Oil And Gas ◽  
Resources Allocation ◽  
Gas Pipelines ◽  
Long Distance ◽  
Emergency Rescue ◽  
Oil And Gas Pipelines ◽  
Fixed Proportion ◽  
Optimized Allocation ◽  
Resource Shortage

According to the inherent characteristics of long-distance oil and gas pipelines, the optimization of emergency resources allocation can be implemented to maximize the utilization of pipeline emergency resources under a certain cost of emergency investment. We built an improved solution of a multiple knapsack problem in a greedy algorithm, proposed maximizing Emergency Resources Factor (ERF) as the greedy strategy, and established the optimization model of emergency resources allocation. This model innovatively combines factors such as the centrality of rescue points, the risk of pipe sections, and the necessity of emergency resources. The results show that, compared to a conventional resource allocation in a fixed proportion, an optimized allocation can reduce resource shortage and redundancy by 2.660% and 1.051%, respectively. Therefore, this model can be used to control the initialization of resource allocation in emergency rescue points of long-distance oil and gas pipelines.

A Proposal of Resource Allocation Method Based on Combinatorial Double Auction Technique in Crowdsourced Manufacturing

2020 ◽  
Author(s):  
Daisuke Kokuryo ◽  
Yoshiaki Harada ◽  
Toshiya Kaihara ◽  
Nobutada Fujii
Keyword(s):  
Resource Allocation ◽  
Internet Of Things ◽  
Computational Experiment ◽  
Manufacturing System ◽  
Cloud Service ◽  
Smart Manufacturing ◽  
Double Auction ◽  
Allocation Method ◽  
Production Resources

Abstract With the development of the IoT (Internet of Things), smart manufacturing system with cloud service and computing techniques has gained worldwide attention. Crowdsourced manufacturing system is a production styles that connects among different companies and factories to share the production resources. In this system, it is important to distribute resources appropriately to increase the productivity. In this proceeding, a resource allocation method based on combinatorial double auction technique is proposed. In the computational experiment, a characteristic of the proposed resource allocation method is evaluated.

Multi-Task Scheduling Based on QoS Evaluation in Cloud Manufacturing System

2017 ◽  
Author(s):  
Feng Li ◽  
Lin Zhang ◽  
Yuanjun Laili
Keyword(s):  
Genetic Algorithm ◽  
Task Scheduling ◽  
Manufacturing System ◽  
Comprehensive Evaluation ◽  
Effective Means ◽  
Cloud Manufacturing ◽  
Optimal Scheduling ◽  
Distributed Resources ◽  
Scheduling Strategies ◽  
Qos Evaluation

Cloud manufacturing (CMfg) mode provides an effective means to intensely utilize distributed resources and manufacturing capability for personalized production. Increasing personalized customization implies more and more heterogeneous tasks and hence more sorts of requirements for services. As the granularity of tasks vary with changing users and products, the solution (or scheme) of task scheduling should be different. In order to efficiently provide the most suitable solution for each kind of tasks, different scheduling ways should be adopted under different circumstances. In this paper, we study scheduling issues for heterogeneous tasks with variable granularity and present two kinds of optimal scheduling mode based on user-oriented comprehensive evaluation. Then different encoding schemes relied on the genetic algorithm are proposed according to different scheduling strategies.

The Design of Rolling Steel Computer Aided Manufacturing System Based on Internet

2014 ◽  
Vol 621 ◽  
pp. 543-548
Author(s):  
Feng Qin Yu ◽  
Jun Wang ◽  
Feng He Wu
Keyword(s):  
Operations Management ◽  
Manufacturing System ◽  
Production Systems ◽  
Raw Materials ◽  
Computer Control ◽  
Steel Production ◽  
System Structure ◽  
Computer Aided Manufacturing ◽  
Computer Aided ◽  
Enterprise Competitiveness

The production of rolling steel is a complicated process which includes management of production operations and production process. The former includes costs accounting, procurement plan of raw materials and auxiliary materials and quality control. The latter includes devices, technology and production rhythm of iron making, steel making, casting and rolling. Nowadays, the departments of these two have adopted the computer managing system to improve the efficiency of management. But the concept of collective design of CIMS is not considered thus the computer control system and operations management computer system are isolated. Furthermore, resources are not shared and information is not integrated among the systems thus enterprise competitiveness decreases. This paper designs the rolling steel computer aided manufacturing system based on internet and introduces the three levels system structure of CIMS technology strategy as well as the key technology. This study is of great significance not only in the integration of rolling steel production systems and the sharing information, but also in upgrading the steel enterprises, reducing costs and increasing enterprise competitiveness.

Study on Structural Complexity of Transmission Case Production Line

2013 ◽  
Vol 765-767 ◽  
pp. 163-166
Author(s):  
Ping Han ◽  
Li Li Ma ◽  
Nai Wei Zou
Keyword(s):  
System Design ◽  
Production Line ◽  
Manufacturing System ◽  
Structural Complexity ◽  
System Structure ◽  
Production Lines ◽  
Complexity Level ◽  
Transmission Case ◽  
Manufacturing System Design ◽  
And Control

Complexity level is one of the factors that affect manufacturing system design and control, so study on complexity quantification is gaining more attention. A method that combined information entropy and system structure factor is introduced to measure the complexity of transmission case production line. The method can realize structural complexity comparison among various production lines that provide reference for manufacturing system design, and in practice systems designed with lower complexity level are controlled and managed more easily and accurately.

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