International Journal of Service and Computing Oriented Manufacturing (7 papers in press)
An Evaluation approach for modules developed from Design Structure Matrix
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
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 generalized algorithm of ship-building wharf scheduling
by Boris Sokolov, Vyacheslav Zelentsov, Semen Potryasaev, Vladimir Kalinin, Oleg Tolpegin
Abstract: We present a new multiple-model description and generalized 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 optimization.
Keywords: ship-building wharf; integrated modelling; natural dynamic decomposition; maximum principle; job-shop scheduling; optimal control; combinatorial optimization.
AGENT-BASED MODELING OF URBAN LAND-USE DEVELOPMENT: MODELLING AND SIMULATING HOUSEHOLDS AND ECONOMIC ACTIVITIES LOCATION CHOICE.
by Youssef Bouanan, Seghir Zerguini, Nathalie Gaussier
Abstract: This article aims to respond to growing concerns about sustainable urbanization, 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 modeling; location choice; accessibility; decision support system.
Risk management and design of mitigation plans through discrete events simulation and genetic algorithms in offshore wind processes
by David Chas Alvarez, Adolfo Lamas Rodriguez, Jose Antonio Muina Dono
Abstract: This paper tackles the difficult task of identifying risk and opportunities, quantify them and propose mitigation plans that minimize 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 optimizer based on genetic algorithms (GAs), allowing the design of new manufacturing strategies or new plant layouts. Finally, the experimental results were obtained customizing 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; offshore energy; discrete events simulation.
Numerical and experimental comparisons of pressed blades for large Francis turbine runners manufactured with a reconfigurable pressing setup and a conventional setup
by Henri Champliaud
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.
An operating simulation tool for modelling and managing a job shop system
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 minimization, the job shop has been reproduced and analysed using the simulation environment SIMUL8TM. Different dispatching rules have been assessed but, due to the extreme variability of the jobs (both in terms of times and routings), none of these rules performed much better than the other ones. It was then decided to turn the simulation into an operating tool that, depending on the current systems state, may support the production manager in selecting the most favourable dispatching rule. To this end, every week the simulation environment is preloaded with the current systems state and with the list of the incoming orders. Next, different dispatching rules can be selected and simulated, and for each rule, the queuing times, machines saturation and makespan are returned as performance. To validate the model, several tests based on historical data were carried on; obtained results demonstrated the superiority and the robustness of the proposed approach.
Keywords: Job shop; Dispatching rules; Food machinery industry; Scheduling; Simulation modelling.