By Thorsten Wuest, Christopher Irgens, Klaus-Dieter Thoben (auth.), Christos Emmanouilidis, Marco Taisch, Dimitris Kiritsis (eds.)
The volumes IFIP AICT 397 and 398 represent the completely refereed post-conference lawsuits of the overseas IFIP WG 5.7 convention on Advances in construction administration structures, APMS 2012, held in Rhodes, Greece, in September 2012. The 182 revised complete papers have been rigorously reviewed and chosen for inclusion within the volumes. they're prepared in 6 components: sustainability; layout, production and creation administration; human components, studying and innovation; ICT and rising applied sciences in creation administration; product and asset lifecycle administration; and prone, offer chains and operations.
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Additional resources for Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services: IFIP WG 5.7 International Conference, APMS 2012, Rhodes, Greece, September 24-26, 2012, Revised Selected Papers, Part II
Spyridon G. Mouroutsos and Eleftheria Mitka 550 XXXII Table of Contents – Part I Part III: Human Factors, Learning and Innovation Modern Learning in Manufacturing and Production Systems Applying Serious Games in Lean Manufacturing Training . . . . . . . Mourad Messaadia, Ahmed Bufardi, Julien Le Duigou, Hadrien Szigeti, Benoit Eynard, and Dimitris Kiritsis Flow and Physical Objects in Experiential Learning for Industrial Engineering Education . . . . .
Step 2-4. Change the velocity and position of the particles according to the equations (1) and (2). Step 2-5. If the maximum number of iterations is reached, stop. Otherwise, go to Step 2-1. Phase 3. Simplify the rules by combining the adjacent cells having the same class. Step 3-1. Represent each partitioning cell in terms of binary D-digits. Sort all cells in the ascending order of digits. Improving Tree-Based Classification Rules Using a Particle Swarm Optimization 13 Step 3-2. Starting from the smallest digit cell, find the adjacent cells having the same class.
1. Product State Change during Manufacturing Process Step  The product state can be derived theoretically at all times during the manufacturing process. In order to develop a manageable and sufficiently detailed model, the points when the product state should be derived have to be defined. The number of defined product state checkpoints during the manufacturing process affect the complexity of the model and the amount of data/information generated. It makes sense to choose at least as many check points (plus one) as there are process steps to grasp the major (intentional) product state changes.