Forthcoming articles

 


International Journal of Service and Computing Oriented Manufacturing

 

These articles have been peer-reviewed and accepted for publication in IJSCOM, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

 

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

 

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

 

Articles marked with this Open Access icon are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

 

Register for our alerting service, which notifies you by email when new issues of IJSCOM are published online.

 

We also offer RSS feeds which provide timely updates of tables of contents, newly published articles and calls for papers.

 

International Journal of Service and Computing Oriented Manufacturing (7 papers in press)

 

Regular Issues

 

  • MIMO wireless power transfer based on magnetic beamforming   Order a copy of this article
    by Zhigang Wen, Wenhao Qiao 
    Abstract: Wireless power transfer (WPT) promises to provide sufficient power for multiple users. However, majority of prior works focused on systems with single transmitter or receiver. In this paper, we base our MIMO wireless power transfer (MIMO-WPT) system with N transmitters and 2 receivers on magnetic beamforming which is similar to that in a MIMO system of wireless communication. From the perspective of signal processing and practical application, we formulate an optimization problem to minimize total power consumed by all transmitters, subject to the minimum power required by both receivers. Furthermore, we demonstrate that the semidefinite relaxation (SDR) of such a quadratically constrained quadratic programming (QCQP) problem is tight, thus can be solved by standard interior-point algorithm. Simulation results show that compared with the uncoordinated baseline scheme of identical current allocation, our MIMO-WPT system has boost power efficiency prominently. In the end, we consider a more general model with N transmitters and M receivers, and the characteristic of the optimal solution is deduced.
    Keywords: Wireless power transfer; magnetic beamforming; MIMO; semidefinite relaxation; convex optimization.

  • Advanced Planning and Scheduling System with Application in the Tobacco Industry   Order a copy of this article
    by Haijun Zhang 
    Abstract: For the reasonable and real-time planning, this paper proposes a case study of an advanced planning and scheduling system called APSoCT, which is developed for the tobacco industry. Firstly, the cut tobacco processing is modeled. Then, the function modules, the planning process, and the intelligent heuristic are designed for APSoCT. The optimization objectives included the changeover, the shift balance, the facility utilization, the continuous-batch production and so on. Finally, APSoCT is developed to verify the system design is feasible and reliable. The APSoCT system fulfills the requirements of cut tobacco flowshop in the tobacco industry.
    Keywords: Advanced Planning and Scheduling; Genetic Algorithm; Cut Tobacco.

  • A prot   Order a copy of this article
    by Feng Xiang, JiangChun Liu, XiaoWu Chen, GuoZhang Jiang 
    Abstract: Cloud manufacturing service model aimed at gathering global resources, optimize the allocation, provide new impetus for the core of manufacturing industry informatization and the reform, and the service combination technology is a key technologies to optimal allocate various resources in manufacturing cloud. However, because the multiple user demands, the high system scalability and task complexity, the potential constraint relationship between the various combinations must be taken into account. focus on the combinable relations, research on combinable relation classification by workflow and strength degree, such as sequential relationships branch/selection relationships, concurrent relationships, multiple selection, synchronous convergence, discriminator, arbitrary cycle, and delay selection. Finally, we uses OWL language to build a model of relations ontology for magnetic bearing.
    Keywords: cloud manufacturing; combination correlation; ontology.

  • Smart Factory and Education An Integrated Automation Concept   Order a copy of this article
    by Marcus Kurth, Carsten Schleyer, Daniel Feuser 
    Abstract: The introduction of cyber physical systems into production companies is highly changing working conditions and processes as well as business models. In practice a growing discrepancy between big and small respectively medium-sized companies can be observed. Bridging that gap a university smart factory is introduced to give that companies a platform to trial, educate employees and access consultancy. Realizing the smart factory a highly integrated, open and standardized automation concept is shown comprising single devices, production lines up to a higher automation system maintaining a community or business models.
    Keywords: cyber physical systems; smart factory; education; internet of things; data integration and visualization.

  • Multi-objective Machining Parameter Optimization for Residual Stress Based on Quantum Cat Swarm   Order a copy of this article
    by Guohai Zhang, Huibin Sun 
    Abstract: Residual stresses greatly affect parts performances, lives, fatigue strengths, corrosion resistance, etc. Due to the lack of analytical models, machining parameter optimization for better residual stresses is still a problem. In this paper, a multi-objective machining parameter optimization method is proposed. Based on the support vector machine, the machining parameters nonlinear relationships with the surface roughness and the residual stress are investigated. The cutting time consumption, surface roughness and absolute residual stress are the objectives, while the cutting speed, feed rate, axial cutting depth and the radial cutting deep are variables. The cutting power and cutting torque are constraints. The multi-objective cat swarm optimization is designed to solve the problem, while the quantum computation is used to improve its performance. An experimental study is presented to verify the method. Some Pareto solutions are obtained with good convergence and diversity. Compared with the empirical machining parameters, the material removal rate, surface roughness and residual stress are optimized greatly. Compared with non-dominated sorting genetic algorithm II, the algorithms precision and effectiveness are also verified.
    Keywords: residual stress; machining parameter optimization; multi-objective optimization; cat swarm optimization; quantum computation.

  • A big data services platform framework towards cloud manufacturing system   Order a copy of this article
    by Yongfeng Li, Yongping ZHANG 
    Abstract: The source of big data in cloud manufacturing (CMfg) is analyzed from two aspects. First, manufacturing cloud service lifecycle and manufacturing entire lifecycle, as well as its characteristics. Then, the classifications of big data resource and big data resource services in the CMfg are investigated respectively, and the relationship between them as well. After analyzing the requirements for big data technology in CMfg system, a framework for big data resource service platform is established, as well as its service operation model. The key technologies for implementing the proposed framework are studied, and the application process of the platform is illustrated from the perspective of supply-demand matching of cloud services.
    Keywords: big data;resource service; cloud manufacturing; life cycle;service platform.

  • Multi-task parallel collaborative design based on SoC multi-core architecture   Order a copy of this article
    by Xiaofu Zou, Yue Tang, Shicheng Zhan, Ying Zuo 
    Abstract: The high efficiency of executing tasks is demanded in aerospace field. In the design of the control system, adopting single processor can hardly meet the demand of efficiency required by the system. Although adopting processor array composed by multiple single processors can enhance the execution efficiency of multi-task to some extent, the drawbacks of processor array in terms of the size of the hardware, payload and off-chip bus delay cannot be ignored. In order to solve the above mentioned problems, this paper is intended to study the multi-core environment construction based on SOC (System on Chip) and collaborative parallel design of multi-task from the perspective of multi-processors array based on on-chip high-speed bus. Firstly, multi-core architecture based on SOC is achieved, which includes constructing two MicroBlaze cores and designing inter-core communication based on MailBox, constructing two ARM (advanced RISC machines) cores and designing inter-core communication based on OCM (on chip memory), designing communication between MicroBlaze cores and ARM cores based on OCM, as well as designing external data collection and hardware acceleration unit based on FPGA (field programmable gate array). Secondly, approaches used in the study should be used into actual projects. In this paper, collaborative parallel design of some of the tasks in the design of the missile control system is studied. Finally, a verification platform is developed. By comparing with single core processor, it is proved that the approaches proposed in this paper have advantages over enhancing the efficiency of executing multiple tasks.
    Keywords: multi-core; SoC; multi-task; parallel; FPGA; ARM.