Product Hardware Complexity and Its Impact on Inventory and Customer On-Time Delivery

2001 ◽  
pp. 61-79 ◽  
Author(s):  
Grace Y. Lin ◽  
Richard Breitwieser ◽  
Feng Cheng ◽  
John T. Eagen ◽  
Markus Ettl
Keyword(s):  
Hardware Complexity ◽  
On Time Delivery

Product Hardware Complexity and Its Impact on Inventory and Customer On-Time Delivery

2005 ◽  
pp. 373-397
Author(s):  
Grace Y. Lin ◽  
Richard Breitwieser ◽  
Feng Cheng ◽  
John Eagen ◽  
Markus Ettl
Keyword(s):  
Hardware Complexity ◽  
On Time Delivery

Asset Inspection Management System as a Reliable Inspection/ Monitoring Tool

2020 ◽  
Vol 78 (12) ◽  
pp. 1276-1285
Author(s):  
Shibu John A
Keyword(s):  
Asset Management ◽  
Management System ◽  
Balance Sheet ◽  
Integrity Assessment ◽  
Material Evaluation ◽  
The People ◽  
Physical Assets ◽  
Asset Management System ◽  
On Time Delivery ◽  
Capital Intensive

Enterprise asset management (EAM) systems are used by asset owners and/or operators to manage the maintenance of their physical assets. These assets, including equipment, facilities, vehicles, and infrastructure, need maintenance to sustain their operations. An EAM system provides the means to have less unplanned downtime and extended asset longevity, which offers clear business benefits that improve the profit and loss statement and balance sheet. Particularly for capital-intensive industries, like drilling and exploration, the failure of on-time delivery of critical equipment or processes is disruptive and costs nonproductive time and customer satisfaction. Organizations understand these issues and employ an appropriate asset management system to engineer their asset maintenance and management. An EAM system is needed to manage the people, assets/equipment, and processes. EAMs are used to plan, optimize, execute, and track the needed maintenance activities with associated priorities, skills, materials, tools, and information. Similarly, nondestructive testing (NDT) is used as a tool for integrity assessment of assets in drilling and exploration. The main advantage of using NDT is that the item’s intended use or serviceability is not affected. The selection of a specific technique should be based on knowledge and skills that include design, material processing, and material evaluation. Validating the purpose of this paper, we emphasize the importance of optimizing the asset utilization and serviceability to enhance overall efficiency by integrating EAM software that manages assets, the operation management system (OMS) controlling the processes, and asset inspection management systems (AIMSs).

An Efficient Distributed Single-hop Relay Supporting (EDSRS) MAC Protocol for Wireless Sensor Networks

2019 ◽  
Vol 9 (2) ◽  
pp. 153-164
Author(s):  
Arvind Kakria ◽  
Trilok Chand Aseri
Keyword(s):  
Energy Efficiency ◽  
Cooperative Communication ◽  
Mimo Systems ◽  
Mac Protocol ◽  
Multiple Input Multiple Output ◽  
Relay Node ◽  
Base Stations ◽  
Destination Node ◽  
Distributed Coordination ◽  
Hardware Complexity

Background & Objective: Wireless communication has immensely grown during the past few decades due to significant demand for mobile access. Although cost-effective as compared to their wired counterpart, maintaining good quality-of-service (QoS) in these networks has always remained a challenge. Multiple-input Multiple-output (MIMO) systems, which consists of multiple transmitter and receiver antennas, have been widely acknowledged for their QoS and transmit diversity. Though suited for cellular base stations, MIMO systems are not suited for small-sized wireless nodes due to their hardware complexity, cost, and increased power requirements. Cooperative communication that allows relays, i.e. mobile or fixed nodes in a communication network, to share their resources and forward other node’s data to the destination node has substituted the MIMO systems nowadays. To harness the full benefit of cooperative communication, appropriate relay node selection is very important. This paper presents an efficient single-hop distributed relay supporting medium access control (MAC) protocol (EDSRS) that works in the single-hop environment and improves the energy efficiency and the life of relay nodes without compensating the throughput of the network. Methods: The protocol has been simulated using NS2 simulator. The proposed protocol is compared with energy efficient cooperative MAC protocol (EECOMAC) and legacy distributed coordination function (DCF) on the basis of throughput, energy efficiency, transmission delay and an end to end delay with various payload sizes. Result and Conclusion: The result of the comparison indicates that the proposed protocol (EDSRS) outperforms the other two protocols.

On Time Delivery: The Dog Team Mail Carriers

2013 ◽  
Vol 40 (2) ◽  
pp. 389-391
Author(s):  
Peggy M. Dillon
Keyword(s):  
On Time Delivery

Design of Lightweight Hash Function Based on Iterate

2014 ◽  
Vol 577 ◽  
pp. 786-789
Author(s):  
Shu Jing Gao ◽  
Rui Quan Zhang ◽  
Wei Zhang
Keyword(s):  
Hash Function ◽  
Information Loss ◽  
Basic Component ◽  
Hardware Complexity ◽  
Passive Devices

A hash functionhMISRthat suitable for passive devices is proposed. Taking parallel LFSR as the basic componenthMISRprovides the security through one-wayness brought by the information loss in the process of compression. When implemented, the hardware complexity ofhMISRis much lower than Toeplitz hash.

A Literature Survey on Algorithms and Hardware Architectures of Max-Log-MAP Demapping

2021 ◽  
pp. 2230001
Author(s):  
Mostafa Rizk ◽  
Amer Baghdadi ◽  
Michel Jézéquel
Keyword(s):  
Research Effort ◽  
High Order ◽  
Performance Criteria ◽  
Hardware Complexity ◽  
Map Algorithm ◽  
Resource Requirements ◽  
Hardware Resource ◽  
Modulation Schemes ◽  
And Performance ◽  
Log Map

Emergent wireless communication standards, which are employed in different transmission environments, support various modulation schemes. High-order constellations are targeted to achieve high bandwidth efficiency. However, the complexity of the symbol-by-symbol Maximum A Posteriori (MAP) algorithm increases dramatically for these high-order modulation schemes. In order to reduce the hardware complexity, the suboptimal Max-Log-MAP, which is the direct transformation of the MAP algorithm into logarithmic domain, is alternatively implemented. In the literature, a great deal of research effort has been invested into Max-Log-MAP demapping. Several simplifications are presented to meet with specific constellations. In addition, the hardware implementations dedicated for Max-Log-MAP demapping vary greatly in terms of design choices, supported flexibility and performance criteria, making them a challenge to compare. This paper explores the published Max-Log-MAP algorithm simplifications and existing hardware demapper designs and presents an extensive review of the current literature. In-depth comparisons are drawn amongst the designs and different key performance characteristics are described, namely, achieved throughput, hardware resource requirements and flexibility. This survey should facilitate fair comparisons of future designs, as well as opportunities for improving the design of Max-Log-MAP demappers.

scholarly journals Energy and Information Beamforming in Airborne Massive MIMO System for Wireless Powered Communications

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3540 ◽  
Author(s):  
Yurong Wang ◽  
Aijun Liu ◽  
Kui Xu ◽  
Xiaochen Xia
Keyword(s):  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Hardware Complexity ◽  
Mimo Channels ◽  
Channel State ◽  
Active Antennas ◽  
Large Numbers ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Critical Problems

Energy supply and information backhaul are critical problems for wireless sensor networks deployed in remote places with poor infrastructure. To deal with these problems, this paper proposes an airborne massive multiple-input multiple-output (MIMO) system for wireless energy transfer (WET) and information transmission. An air platform (AP) equipped with a two-dimensional rectangular antenna array is employed to broadcast energy and provide wireless access for ground sensors. By exploiting the statistical property of air-terrestrial MIMO channels, the energy and information beamformers are jointly designed to maximize the average received signal-to-interference-plus-noise ratio (SINR), which gives rise to a statistical max-SINR beamforming scheme. The scheme does not rely on the instantaneous channel state information, but still requires large numbers of RF chains at AP. To deal with this problem, a heuristic strongest-path energy and information beamforming scheme is proposed, which can be implemented in the analog-domain with low computational and hardware complexity. The analysis of the relation between the two schemes reveals that, with proper sensor scheduling, the strongest-path beamforming is equivalent to the statistical max-SINR beamforming when the number of AP antennas tends to infinity. Using the asymptotic approximation of average received SINR at AP, the system parameters, including transmit power, number of active antennas of AP and duration of WET phase, are optimized jointly to maximize the system energy efficiency. The simulation results demonstrate that the proposed schemes achieve a good tradeoff between system performance and complexity.

Research on DBR Production Scheduling System Application Based on Simulation

2014 ◽  
Vol 889-890 ◽  
pp. 1207-1212
Author(s):  
Guo En Sun ◽  
Zai Lin Guan ◽  
Lei Yue ◽  
Zhi Ming Zheng ◽  
Han Lin
Keyword(s):  
Production Scheduling ◽  
Simulation Optimization ◽  
Production Capacity ◽  
Production Plan ◽  
Process Scheduling ◽  
Scheduling System ◽  
Work In Process ◽  
Planning Methods ◽  
On Time Delivery ◽  
High Output

Traditional planning methods ignore the enterprise production capacity,the paper depend on the specific case in enterprise production to build a Production Scheduling System which applies Drum-Buffer-Rope theory. This system proposes the high output, low work in process and on time delivery as the goals, considering the bottleneck resource as well as providing the master production plan with the bottleneck resource, in addition employing the simulation optimization software-Simio to optimize the bottleneck process scheduling and raise the utilization ratio of bottleneck resource.

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