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  • Open Access

    ARTICLE

    Optimization of Heat Treatment Scheduling for Hot Press Forging Using Data-Driven Models

    Seyoung Kim1, Jeonghoon Choi1, Kwang Ryel Ryu2,*

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 207-220, 2022, DOI:10.32604/iasc.2022.021752

    Abstract Scheduling heat treatment jobs in a hot press forging factory involves forming batches of multiple workpieces for the given furnaces, determining the start time of heating each batch, and sorting out the order of cooling the heated workpieces. Among these, forming batches is particularly difficult because of the various constraints that must be satisfied. This paper proposes an optimization method based on an evolutionary algorithm to search for a heat treatment schedule of maximum productivity with minimum energy cost, satisfying various constraints imposed on the batches. Our method encodes a candidate solution as a permutation of heat treatment jobs and… More >

  • Open Access

    ARTICLE

    Relative Time Quantum-based Enhancements in Round Robin Scheduling

    Sardar Zafar Iqbal, Hina Gull*, Saqib Saeed, Madeeha Saqib, Mohammed Alqahtani, Yasser A. Bamarouf, Gomathi Krishna, May Issa Aldossary

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 461-477, 2022, DOI:10.32604/csse.2022.017003

    Abstract Modern human life is heavily dependent on computing systems and one of the core components affecting the performance of these systems is underlying operating system. Operating systems need to be upgraded to match the needs of modern-day systems relying on Internet of Things, Fog computing and Mobile based applications. The scheduling algorithm of the operating system dictates that how the resources will be allocated to the processes and the Round Robin algorithm (RR) has been widely used for it. The intent of this study is to ameliorate RR scheduling algorithm to optimize task scheduling. We have carried out an experimental… More >

  • Open Access

    ARTICLE

    ATS: A Novel Time-Sharing CPU Scheduling Algorithm Based on Features Similarities

    Samih M. Mostafa1,*, Sahar Ahmed Idris2, Manjit Kaur3

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6271-6288, 2022, DOI:10.32604/cmc.2022.021978

    Abstract Minimizing time cost in time-shared operating systems is considered basic and essential task, and it is the most significant goal for the researchers who interested in CPU scheduling algorithms. Waiting time, turnaround time, and number of context switches are the most time cost criteria used to compare between CPU scheduling algorithms. CPU scheduling algorithms are divided into non-preemptive and preemptive. Round Robin (RR) algorithm is the most famous as it is the basis for all the algorithms used in time-sharing. In this paper, the authors proposed a novel CPU scheduling algorithm based on RR. The proposed algorithm is called Adjustable… More >

  • Open Access

    ARTICLE

    A Modelling and Scheduling Tool for Crowd Movement in Complex Network

    Emad Felemban1, Faizan Ur Rehman2,*, Akhlaq Ahmad2, Muhamad Felemban3

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1361-1375, 2022, DOI:10.32604/iasc.2022.020235

    Abstract Managing events pose a unique challenge to the stakeholders and authorities to control the crowd in all three phases of the event (pre, during and post), ensuring crowd safety. One of the fundamental keys to provide crowd safety is to consider the mobility infrastructure hosting the crowd, i.e., routes, areas, entrances and exits. During Hajj, where millions of pilgrims worldwide fulfil the annual event’s rites, mina encampment incorporates pilgrims performing recurring stoning ritual conducted over multi-level Jamarat bridge. Pilgrims mobility through the available complex road network, to and back from the Jamarat bridge, forces upon authorities in charge to set… More >

  • Open Access

    ARTICLE

    Novel Power-Aware Optimization Methodology and Efficient Task Scheduling Algorithm

    K. Sathis Kumar1,*, K. Paramasivam2

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 209-224, 2022, DOI:10.32604/csse.2022.019531

    Abstract The performance of central processing units (CPUs) can be enhanced by integrating multiple cores into a single chip. Cpu performance can be improved by allocating the tasks using intelligent strategy. If Small tasks wait for long time or executes for long time, then CPU consumes more power. Thus, the amount of power consumed by CPUs can be reduced without increasing the frequency. Lines are used to connect cores, which are organized together to form a network called network on chips (NOCs). NOCs are mainly used in the design of processors. However, its performance can still be enhanced by reducing power… More >

  • Open Access

    ARTICLE

    Flow-Shop Scheduling with Transportation Capacity and Time Consideration

    Chia-Nan Wang1, Glen Andrew Porter2, Ching-Chien Huang3,*, Viet Tinh Nguyen4, Syed Tam Husain4

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3031-3048, 2022, DOI:10.32604/cmc.2022.020222

    Abstract Planning and scheduling is one of the most important activity in supply chain operation management. Over the years, there have been multiple researches regarding planning and scheduling which are applied to improve a variety of supply chains. This includes two commonly used methods which are mathematical programming models and heuristics algorithms. Flowshop manufacturing systems are seen normally in industrial environments but few have considered certain constraints such as transportation capacity and transportation time within their supply chain. A two-stage flowshop of a single processing machine and a batch processing machine are considered with their capacity and transportation time between two… More >

  • Open Access

    ARTICLE

    Heuristic Scheduling of Job Orders in a Build-to-Order Manufacturing System

    Chia-Nan Wang1, Chien-Chang Chou2, Yu-Chi Chung1,*, Nguyen Ky Phuc Phan3, Van Thanh Nguyen4, Viet Tinh Nguyen4

    Computer Systems Science and Engineering, Vol.40, No.3, pp. 1059-1072, 2022, DOI:10.32604/csse.2022.018259

    Abstract With the continuous development of technology, traditional manual work has been becoming more and more automated. Most large or medium-sized companies have applied Enterprise Resource Planning (ERP) software into their business and production activities. However, since many small firms cannot afford ERP because of its expensive cost, they often still employ manual work for the same tasks this software resolves, especially for scheduling. This paper aims to provide a possible solution for small businesses to try automated scheduling and discover whether it can help much. There are two main ways to make this determination: a mathematical model and a heuristic… More >

  • Open Access

    ARTICLE

    Fuzzy Based Ant Colony Optimization Scheduling in Cloud Computing

    K. Rajakumari1,*, M.Vinoth Kumar2, Garima Verma3, S. Balu4, Dilip Kumar Sharma5, Sudhakar Sengan6

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 581-592, 2022, DOI:10.32604/csse.2022.019175

    Abstract Cloud computing is an Information Technology deployment model established on virtualization. Task scheduling states the set of rules for task allocations to an exact virtual machine in the cloud computing environment. However, task scheduling challenges such as optimal task scheduling performance solutions, are addressed in cloud computing. First, the cloud computing performance due to task scheduling is improved by proposing a Dynamic Weighted Round-Robin algorithm. This recommended DWRR algorithm improves the task scheduling performance by considering resource competencies, task priorities, and length. Second, a heuristic algorithm called Hybrid Particle Swarm Parallel Ant Colony Optimization is proposed to solve the task… More >

  • Open Access

    ARTICLE

    Energy-Aware Scheduling for Tasks with Target-Time in Blockchain based Data Centres

    I. Devi*, G.R. Karpagam

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 405-419, 2022, DOI:10.32604/csse.2022.018573

    Abstract

    Cloud computing infrastructures have intended to provide computing services to end-users through the internet in a pay-per-use model. The extensive deployment of the Cloud and continuous increment in the capacity and utilization of data centers (DC) leads to massive power consumption. This intensifying scale of DCs has made energy consumption a critical concern. This paper emphasizes the task scheduling algorithm by formulating the system model to minimize the makespan and energy consumption incurred in a data center. Also, an energy-aware task scheduling in the Blockchain-based data center was proposed to offer an optimal solution that minimizes makespan and energy consumption.… More >

  • Open Access

    ARTICLE

    Towards Prevention of Sportsmen Burnout: Formal Analysis of Sub-Optimal Tournament Scheduling

    Syed Rameez Naqvi1, Adnan Ahmad1, S. M. Riazul Islam2,*, Tallha Akram1, M. Abdullah-Al-Wadud3, Atif Alamri4

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1509-1526, 2022, DOI:10.32604/cmc.2022.019653

    Abstract Scheduling a sports tournament is a complex optimization problem, which requires a large number of hard constraints to satisfy. Despite the availability of several such constraints in the literature, there remains a gap since most of the new sports events pose their own unique set of requirements, and demand novel constraints. Specifically talking of the strictly time bound events, ensuring fairness between the different teams in terms of their rest days, traveling, and the number of successive games they play, becomes a difficult task to resolve, and demands attention. In this work, we present a similar situation with a recently… More >

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