Fast Truck - Packing of 3 D boxes

The purpose of this research is to estimate the repair effects a repairable system undergoes repeated failures and repairs. Data was collected on a cement kiln incurring150 failures and 5 shutdowns for overhaul. Causes of failure were identified as operational, mechanical or electrical. The unit was restarted but with an (expected) improved failure rate by virtue of the repair. Repair improvements are modeled is a Kijima Type-II virtual age framework. Covariate data was also used to better estimate the failure/repair process. 2 Confidence-based Optimization for the Newsvendor Problem Roberto Rossi, Business School, University of Edinburgh, 29 Buccleuch place, EH8 9JS, Edinburgh, United Kingdom, [email protected], Steven Prestwich, Armagan Tarim, Brahim Hnich We consider a Newsvendor problem in which the decision maker is given a set of past demand samples. We employ confidence interval analysis in order to identify a range of candidate order quantities that, with prescribed confidence probability, includes the real optimal order quantity for the underling stochastic demand process with known distribution and unknown parameter(s). For these order quantities, we also produce cost upper and lower bounds. We apply our approach to Binomial, Poisson, and Exponential demand. For two of these distributions we discuss the case of unobserved lost sales. 3 Economic order quantity of an inventory control system with order backlog Eline De Cuypere, TELIN, University Ghent, St-Pietersnieuwstraat 41, 9000, Ghent, Belgium, [email protected], Koen De Turck, Dieter Fiems We present a mathematical model which evaluates the performance of inventory control systems with order backlog. In terms of cost, we account for holding, set-up and backlog costs. Production of units starts when the inventory level drops below the threshold value and stops when stock capacity is reached. Moreover, orders are backlogged and coupled to the completion of the units. The inventory problem is studied in a Markovian setting. Set-up times are phase-type distributed while order and product arrivals are modelled by a Markovian arrival process. 4 Two Modified Preventive Maintenance Models in a Finite Time Span with Failure Rate Reduction Chun-Yuan Cheng, Dept. of Industrial Engineering & Management, Chaoyang Univerisity of Technology, 168 Gifong E. Rd., Wufeng„ 413, Taichung County, Taiwan, [email protected], Min Wang, Mei-Ling Liu For a preventive maintenance (PM) model over a finite time span, shorter PM interval can result in a better expected total maintenance cost (TC). However, the original optimal PM policies shown in literature are obtained by searching the optimal PM interval over a constrained range. We propose two modified failure-rate-reduction optimal PM policies: one is developed by releasing the constraint of the PM interval searching range; another is constructed by postponing the starting time of the PM program based on the fact that equipment is not easily fail in the early stage of its useful life.