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 Articles will not be published until the final proofs are validated by their authors.


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


Regular Issues


  • An Evaluation approach for modules developed from Design Structure Matrix   Order a copy of this article
    by Ying LI, Baosheng Ying, Zhijun Rong, Binbin DAN, Ming LI, Feng XIANG 
    Abstract: The main characteristics of its components and their interaction are represented in products architecture. A modular architecture can enhance the whole design cycle of a product. The idea of module identification is to minimize interactions between modules and maximize component interconnection within each module. Clustering DSM is a popular analysis technique for modularity. To assess the clustering efficiency, a new index of Cce is tendered to deal with a numerical DSM, as well as a binary DSM. A case study of a motorcycle engine of 17 parts is analyzed using the proposed assessment to get a better clustering result, which validates the feasibility of the evaluation approach.
    Keywords: Design Structure matrix; product architecture; clustering assessment.

  • Water Footprint Assessment for Iron and Steel Production based on Life Cycle and Input-Output Method   Order a copy of this article
    by Qi Yin, Feng Xiang, YuanYuan Huang, GuoZhang Jiang 
    Abstract: The related researches about energy saving and emission reduction (ESER) of iron and steel products are mostly focus on power or raw material, such as carbon footprint assessment (CFS), and rarely involves water. According to the view of water environment protection, the main index for water footprint assessment (WFA) is proposed in this paper. The concept and methodology of the production water footprint is advanced into life cycle WFA, a life cycle assessment & economic input-output method (LCA & EIO) are introduced to analyze the WFA process, which is mainly depending on grey water footprint, blue water footprint. Finally, a WFA case of iron and steel products is studied and several ESER methods are suggested.
    Keywords: energy saving and emission reduction (ESER); water footprint assessment (WFA); life cycle assessment (LCA); economic input-output (EIO).

Special Issue on: I3M2017 Smart Manufacturing Systems Theories, Advances and Applications

  • Multiple-model description and generalised algorithm of ship-building wharf scheduling   Order a copy of this article
    by Boris Sokolov, Vyacheslav Zelentsov, Semyon Potryasaev, Vladimir Kalinin, Oleg Tolpegin 
    Abstract: We present a new multiple-model description and generalised algorithm of ship-building wharf scheduling. This description is represented as a special case of the job-shop-scheduling problem with dynamically distributed jobs, resources, flows, structures. The approach is based on a natural dynamic decomposition of the problem and its solution with the help of a modified form of continuous maximum principle coupled with combinatorial optimisation.
    Keywords: ship-building wharf; integrated modelling; natural dynamic decomposition; maximum principle; job-shop scheduling; optimal control; combinatorial optimisation.
    DOI: 10.1504/IJSCOM.2018.10020796
  • Agent-based modelling of urban land-use development: modelling and simulating households and economic activities location choice   Order a copy of this article
    by Youssef Bouanan, Seghir Zerguini, Nathalie Gaussier 
    Abstract: This article aims to respond to growing concerns about sustainable urbanisation, which in recent years have generated a need for prospective assessment in the field of transport and land-use planning, by predicting future land-use development. We introduce a land use model (part LU of a land use transport interaction model) which aims to simulate households and economic activities location choice within an urban system. We use the agent-based approach to simulate location choices to account for land use changes and to estimate residential and economic activities location. This is a dynamic bottom-up approach with the households and the firms as their basic components. The MUST-B model considers the agents' location choices according to the utility theory and the equilibrium between real estate supply and demand. The model is used to simulate urban land-use development in the urban area of Bordeaux, France.
    Keywords: land use; agent-based modelling; location choice; accessibility; decision support system.
    DOI: 10.1504/IJSCOM.2018.10020797
  • Risk management and design of mitigation plans through discrete events simulation and genetic algorithms in offshore wind processes   Order a copy of this article
    by David Chas Álvarez, Adolfo Lamas Rodríguez, José Antonio Muiña Dono 
    Abstract: This paper tackles the difficult task of identifying risk and opportunities quantify them and propose mitigation plans that minimise the impact of the risk in manufacturing projects. For this reason, a discrete events simulation model representative of a manufacturing plant and manufacturing strategy has been developed. This simulation model will be able to identify and assess the risks of the project with regard to risk effect in the schedule or in the manufacturing cost and, on the other hand, simulation model will be used in combination with an optimiser based on genetic algorithms (GAs), allowing the design of new manufacturing strategies or new plant layouts. Finally, the experimental results were obtained customising the simulation model for a real project of manufacturing wind turbine foundations, in particular to the piles that hold the lattice structure (jacket) to the bottom of the sea.
    Keywords: genetic algorithms; risk management; mitigation plans; discrete events simulation; offshore wind processes; jacket.
    DOI: 10.1504/IJSCOM.2018.10020802
  • Numerical and experimental comparisons of pressed blades for large Francis turbine runners manufactured with a reconfigurable pressing setup and a conventional setup   Order a copy of this article
    by Henri Champliaud, Zhengkun Feng 
    Abstract: Quebec hydraulic power plants are mainly operated with large Francis turbines due to their ability to comply with a wide range of rates of flow and falls' heights. The variation of hydraulic conditions from one site to another forced engineers to create each time a new design for the runners and consequently lead to different thicknesses, sizes and shapes for the blades. The unit production costs are inevitably high since the punch and die matrices are completely redesigned for the production of a specific batch of blades. In this paper, the authors focus on a reconfigurable setup of punch and die matrices for forming blades from very thick plates offering a flexible alternative to the conventional setup. First, in order to validate the numerical model, a finite element simulation of the pressing process with a continuous conventional punch and die pair is performed. Second, the methodology for setting up a reconfigurable punch and die pair, based on a dense distribution of spherical headed poles, is presented. The model is then inserted in the previous finite element procedure. Numerical results agree well with data collected on blades pressed for the rehabilitation of a hydropower plant in Quebec.
    Keywords: pressing process; multi-point forming; finite element analysis; very thick plate; reconfigurable punch and die; experiments.
    DOI: 10.1504/IJSCOM.2018.10020805
  • An operating simulation tool for modelling and managing a job shop system   Order a copy of this article
    by Eleonora Bottani, Marta Rinaldi, Roberto Montanari, Massimo Bertolini, Francesco Zammori 
    Abstract: This study analyses the machinery department of a major Italian company, which manufacturers' equipment and plants for the food industry. At present, the machinery department is arranged as a pure job shop and the firm adopts a push strategy: every week the accepted orders are released in the shop floor and sequenced accordingly to the earliest due date dispatching rule, with no pre-emption. Yet, the resulting performance is not satisfactory: often the jobs are not completed within the planned week and work in progress accumulates in the shop floor increasing time and costs. Aiming to improve the current situation, especially in terms of makespan minimisation, the system has been first reproduced using the simulation environment SIMUL8™ and then different dispatching rules have been tested through simulation. Finally, the simulation model was turned into an operating tool that may support the production manager in selecting the most favourable dispatching rule depending on the list of jobs to be processed and on the current system's state. This tool was tested using historical data on the machinery department; the results obtained demonstrated the superiority and robustness of the proposed approach.
    Keywords: job shop; dispatching rules; food machinery industry; scheduling; simulation modelling.
    DOI: 10.1504/IJSCOM.2018.10020806