Resource-loaded piping spool fabrication scheduling: material-supply-driven optimization

Liu, Jing; Soleimanifar, Meimanat; Lu, Ming

doi:10.1186/s40327-017-0044-3

Cited by 14 publications

(3 citation statements)

References 24 publications

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“…Among the relevant achievements, Srinivasan and Pandharipande [27] designed a self-configuring scheduling protocol for ultrasonic sensor systems using a timeslot allocation algorithm, which simplified the deployment of ultrasonic sensor systems. Further, Long et al [32] proposed a time-division-multiple-access-based energy consumption balancing algorithm for general k-hop wireless sensor networks, where one data packet is collected in a cycle; the results demonstrated the effectiveness of the algorithm in terms of the energy efficiency and timeslot scheduling. A distributed ultrasonic sensor system has also been used in many application scenarios [36–40].…”

Section: Related Workmentioning

confidence: 99%

Improved scheduling algorithm for signal processing in asynchronous distributed ultrasonic total-focusing-method system

Tang

Liu

2019

PLoS ONE

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Compared to the conventional ultrasonic phased-array system, a large-element phased-array system employing the total focusing method (TFM) can yield improved image resolution and accuracy, providing more flexible scanning methods and image merging functionality. In order to meet various forms of ultrasonic multi-group scanning, an architecture for multi-group scan integration called the “asynchronous distributed ultrasonic TFM system” is proposed, and a novel scheduling algorithm called “the sum of start time and processing time adjacent (SSPA) algorithm” is presented. The architecture adds a focus and group scheduler (FGS) and signal processing scheduler (SPS) to the traditional ultrasonic phased array system and constructs a signal processing arbitration (SPA) with several signal processing modules (SPMs). The FGS provides the focus parameters, pixel memory range, and number of pixels in each group. The SPS controls the SPA for the ultrasonic scanning data obtained from the elements, with SPM-sharing output data; hence, the optimal priority order and SPM assignment are realized, enabling switching of reading operations among the first-in−first-out memories for signal processing and minimal time-slot waiting. The SSPA algorithm is used to solve the job-shop scheduling problem with start time, which considers the processing time and start time, in order to reduce the time slot after each scheduling using adjacent operations. Therefore, the architecture enhances the flexibility of the multi-group scan, and this algorithm decreases the makespan, achieving higher efficiency compared to conventional scheduling algorithms. The reliability and validity of the algorithm are substantiated after its implementation using FPGA technology. The SPM utilization rate and the real-time performance of the ultrasonic TFM are improved. Thus, the proposed algorithm and architecture have considerable potential application in multi-sensor systems.

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Section: Related Workmentioning

confidence: 99%

Improved scheduling algorithm for signal processing in asynchronous distributed ultrasonic total-focusing-method system

Tang

Liu

2019

PLoS ONE

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“…Unfortunately, the process of the reallocation will make the time slice resources more fragmented, and increase the complexity of the scheduling algorithm. Multiple examples of implementation for the scheduling algorithm are available in the open literatures [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. Srinivasan et al designed a self-configuring scheduling protocol for ultrasonic sensor systems by using an algorithm of the timeslot allocation, which simplified the deployment of the present detection system [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

An Improved Scheduling Algorithm for Data Transmission in Ultrasonic Phased Arrays with Multi-Group Ultrasonic Sensors

Tang

Liu

Tan

2017

Sensors

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High data transmission efficiency is a key requirement for an ultrasonic phased array with multi-group ultrasonic sensors. Here, a novel FIFOs scheduling algorithm was proposed and the data transmission efficiency with hardware technology was improved. This algorithm includes FIFOs as caches for the ultrasonic scanning data obtained from the sensors with the output data in a bandwidth-sharing way, on the basis of which an optimal length ratio of all the FIFOs is achieved, allowing the reading operations to be switched among all the FIFOs without time slot waiting. Therefore, this algorithm enhances the utilization ratio of the reading bandwidth resources so as to obtain higher efficiency than the traditional scheduling algorithms. The reliability and validity of the algorithm are substantiated after its implementation in the field programmable gate array (FPGA) technology, and the bandwidth utilization ratio and the real-time performance of the ultrasonic phased array are enhanced.

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“…These studies have primarily addressed a single supply chain stage and have addressed issues like inventory management [38], vehicle routing [39], and integrated truck planning [40]. Some researchers have proposed optimization models that integrate various supply chain stages, such as combining production with logistics [41] and logistics with installation [42]. These integrated approaches aim to provide more holistic solutions but often ignore the uncertainties and dynamic interactions, which are critical in real-world applications.…”

mentioning

confidence: 99%

Multi-Agent Simulation Approach for Modular Integrated Construction Supply Chain

Attajer,

Mecheri

2024

Applied Sciences

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The shift from traditional on-site to off-site construction marks a significant evolution in the construction industry, characterized by increasing levels of prefabrication. These advancements enhance construction efficiency, reduce lead times, and mitigate environmental impacts, leading to modular integrated construction (MiC). However, MiC presents complex supply chain challenges, particularly in the transportation of prefabricated components and fully integrated modules. This study addresses these challenges by employing a multi-agent simulation using AnyLogic to optimize MiC transport logistics. The simulation models the interactions of various agents involved in the MiC process to improve operational efficiency and reduce costs. Results demonstrate that using three vehicles per supplier minimizes total transport costs, effectively balancing fixed and variable expenses while eliminating penalties for project delays. The findings highlight the cost efficiency of MiC, showing potential savings due to centralized assembly and optimized logistics. These significantly reduce material transportation and related costs, contributing to the overall efficiency and sustainability of construction projects. These insights underscore the value of multi-agent simulation in addressing the complexities of MiC supply chains.

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Resource-loaded piping spool fabrication scheduling: material-supply-driven optimization

Cited by 14 publications

References 24 publications

Improved scheduling algorithm for signal processing in asynchronous distributed ultrasonic total-focusing-method system

Improved scheduling algorithm for signal processing in asynchronous distributed ultrasonic total-focusing-method system

An Improved Scheduling Algorithm for Data Transmission in Ultrasonic Phased Arrays with Multi-Group Ultrasonic Sensors

Multi-Agent Simulation Approach for Modular Integrated Construction Supply Chain

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