Master scheduling is concerned with synchronizing production activities with product demand, while also co-ordinating the use of different resources. It will thus be a key schedule in any control system intended for a...
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Master scheduling is concerned with synchronizing production activities with product demand, while also co-ordinating the use of different resources. It will thus be a key schedule in any control system intended for application in an integrated manufacturing environment. This paper combines earlier methodologies, in master scheduling and aggregate planning, to develop a master aggregate schedule (MA-schedule) model, which is better equipped to meet the needs of modern manufacturing facilities, The MA-schedule aggregates capacity, time, and products;models routing and capacity flexibility;considers the availability of material transporters;and has a multi-criteria objective function. The schedule is formulated as a large-scale mixed integer program. Experimental results with some test problems are reported, and the impact of the new features is studied.
In this paper, we introduce the Datarol-II processor, that can efficiently execute a fine-grain multi-thread program, called Datarol. In order to achieve the efficient multi-thread execution by reducing context switch...
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This paper explores an inspection method using object's skeleton pixel counts as neural network inputs to identify surface flaws without constraints on object position and orientation. The associated neural networ...
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This paper explores an inspection method using object's skeleton pixel counts as neural network inputs to identify surface flaws without constraints on object position and orientation. The associated neural networks have been specifically trained in advance using the skeleton pixel counts generated from the engineering drawings. Because only the pixel counts of an object has been used for inspecting flaws, it tremendously reduces the representative skeleton image data. The significant training time in each epoch is also saved in the application of neural networks. This method can be performed in parallel machines to achieve real time inspections.< >
作者:
DAVIS, CBMCNICHOLS, RJCharles B. Davis is principal statistician with Environmet- rics & Statistics Ltd. (EnviroStat
1853 Wellington Court Henderson NV 89014). After receiving his M.S. in mathematics and statistics and Ph.D. in statistics from the University of New Mexico he joined the Mathematics Department of the University of Toledo to establish its graduate program in statistics with emphasis on consulting and applications. He and McNichols became involved in consulting and research related to statistical issues arising in RCRA ground water monitoring regulation in 1985 and formed EnviroStat in 1990. Davis left academia in 1992 to concentrate on environmental statistics. Roger J. McNichols is professor and chairman of the Industrial Engineering Department at The University of Toledo
(Toledo OH 43606). After receiving his Ph.D. in industrial engineering from The Ohio State University he joined the faculty of Texas A and M University where he directed the Maintainability Engineering Graduate Program at Red River Army Depot. At University of Toledo he is also chairman of the Systems Doctoral Program and has served as associate dean of engineering. His research and consulting interests include reliability quality control manufacturing environmental monitoring mathematical modeling and applied statistics.
Current federal ground water monitoring statistical regulation dates from the revised RCRA Subtitle C Final Rule of 1988. That rule was a considerable advance over previous RCRA statistical rules. However, two major p...
Current federal ground water monitoring statistical regulation dates from the revised RCRA Subtitle C Final Rule of 1988. That rule was a considerable advance over previous RCRA statistical rules. However, two major problem areas remained: facility-wide false positive rate (FWFPR) control and spatial variability. Progress has been made in the 1991 Subtitle D Final Rule and in guidance;the 1992 Addendum to Interim Final Guidance in particular includes a substantial conceptual advance toward resolving the FWFPR problem. Other areas of improvement include normality testing and distribution assumptions, dropping the four independent samples per monitoring period requirement, allowing a preliminary evaluation short of a 40 CFR Part 258 Appendix II assessment upon finding a statistically significant increase, and suggesting superior alternatives to analyses of variance (ANOVAs) and tests of proportions. The problem of dealing with natural spatial variability remains. Although certain techniques listed in the regulations can control for inherent spatial variability and the performance standards require doing so ''when necessary,'' little attention has been paid to the ubiquity of such spatial variation. Moreover, regulatory traditions favoring upgradient-downgradient comparisons often make control of natural spatial variation difficult and ineffective. With new, lined facilities easily implemented statistical solutions are available;however, dealing with the several existing solid waste facilities which will now be regulated under Subtitle D will present major challenges. In short, the 1988 revision of the Subtitle C rules made it more possible to provide statistically sound monitoring programs, and there has been steady progress since then. Challenges remain, however. These vary from state to state, particularly with regard to controlling false positives and false negatives in the presence of natural spatial variability.
In 1990, the US Congress passed a new Clean Air Act which contains provisions to control sulfur dioxide (SO/sub 2/ a primary cause of acid rain) emitted from electric generation plants in the United States. Under this...
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In 1990, the US Congress passed a new Clean Air Act which contains provisions to control sulfur dioxide (SO/sub 2/ a primary cause of acid rain) emitted from electric generation plants in the United States. Under this Act, electric utilities will be able to choose from a wide range of SO/sub 2/ emissions control measures. This paper presents a comprehensive emissions control model which can systematically examine all available emissions control options and construct an optimal compliance plan. The model is a nonlinear integer program that uses probabilistic production costing to simulate system generation. A solution procedure based on generalized benders decomposition is developed, exploiting the special structure of the problem formulation.< >
Information retrieval using probabilistic techniques has attracted significant attention on the part of researchers in information and computer science over the past few decades. In the 1980s, knowledge-based techniqu...
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Over the last three years a Brunel University team has explored the implementation of simultaneous engineering (SE) in a number of British companies in order to: understand what SE means in a British context; reveal &...
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Over the last three years a Brunel University team has explored the implementation of simultaneous engineering (SE) in a number of British companies in order to: understand what SE means in a British context; reveal "best practice" in SE; and explore ways of using gaming techniques to empower team working. This paper reports those studies in summary form resulting from an early analysis of the observations made to date. In particular, case studies were made of five SE contexts to show what companies meant by SE, where they tried to implement it and what form this implementation took. A simple questionnaire, which aimed to identify key implementation issues was targeted at companies who had demonstrated an interest in SE. Another, complementary study, looked at the way communication can promote or inhibit SE. A final group of studies, in the university and industrial contexts, looked at how gaming techniques could be used to empower people with the teamworking attitudes and skills which is so essential to the fullest operation of SE. The key elements of this framework are summarised.< >
作者:
MOYER, EEOSTENDORF, DWKAMPBELL, DHXIE, YFEllen E. Moyer (ENSR Consulting and Engineering
35 Nagog Park Acton MA 01720) is a senior environmental engineer at ENSR Consulting and Engineering in Acton Massachusetts. Her research interests include bioremediation air sparging soil venting and analytical modeling of subsurface contamination. Moyer is a registered Professional Engineer with an M.S. in environmental engineering and a Ph.D. in civil engineering from the University of Massachusetts at Amherst and a member of the National Ground Water Association and the American Society of Civil Engineers. David W. Ostendorf (Civil Engineering Department
University of Massachusetts Amherst MA 01003) is an associate professor in the environmental engineering program of the Civil Engineering Department of the University of Massachusetts at Amherst. His research interests include unconfined aquifer contamination hazardous waste site remediation and analytical modeling of problems in environmental fluid mechanics. Ostendorf is a registered Professional Engineer and a member of the American Geophysical Union American Society of Civil Engineers Soil Science Society of America Water Pollution Control Federation and Association of Environmental Engineering Professors as well as the National Ground Water Association. Don H. Kampbell (Robert S. Kerr Environmental Research Laboratory
Ada OK 74820) is a research chemist at the U.S. EPA Robert S. Kerr Environmental Research Laboratory in Ada Oklahoma. His research interests include gas chromatog- raphy GC/mass spectrometry industrial waste processes soil bioreactor systems aquifer biorestoration and soil gas measurements. Kampbell is a certified Professional Soil Scientist and a registered Professional Engineer as well as a member of the Soil Science Society of America and the American Chemical Society. Yuefeng Xie (Civil Engineering Department
University of Massachusetts Amherst MA 01003) is a postdoctoral research associate in the environmental engineering program of the Civil Engineering Depart
Soil gas samples from intact soil cores were collected on adsorbents at a field site, then thermally desorbed and analyzed by laboratory gas chromatography (GC). Vertical concentration profiles of predominant vapor ph...
Soil gas samples from intact soil cores were collected on adsorbents at a field site, then thermally desorbed and analyzed by laboratory gas chromatography (GC). Vertical concentration profiles of predominant vapor phase petroleum hydrocarbons under ambient conditions were obtained for the zone directly above the capillary fringe. Water and residual phase weathered aviation gasoline were present in this region of the profile. The sampling, trapping, and GC methodology was effective in most respects. Reproducibility, trapping, and desorption efficiency were generally satisfactory, and different sorbent tubes gave similar results. A minor shortcoming of the method occurred with the most volatile compound, 2,3-dimethylbutane, which was poorly retained during several weeks of storage time and was also poorly desorbed. Vapor phase concentrations of predominant hydrocarbon compounds all increased with depth at one sampling location. At a more highly contaminated location, concentrations of highly volatile compounds increased with depth while concentrations of less volatile compounds remained constant or decreased, possibly indicating distillation effects. Scatter in the data was attributed to heterogeneities in water and residual phase distribution.
This panel considers the broad applicability of discrete event simulation analysis methodology to engineering design. A successful prototype multidisciplinary course, "Using Simulation Models for engineering Desi...
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ISBN:
(纸本)9780780321090
This panel considers the broad applicability of discrete event simulation analysis methodology to engineering design. A successful prototype multidisciplinary course, "Using Simulation Models for engineering Design", is examined and discussed. Issues related to the implementation of such a course at other institutions are considered, for both graduate and undergraduate versions.
Computer-Aided Design and Computer-Aided Manufacturing technology is being implemented in the U.S. Navy's Arleigh Burke (DDG-51) Class Aegis Destroyer program. Under the Navy's direction, the DDG-51 class cons...
Computer-Aided Design and Computer-Aided Manufacturing technology is being implemented in the U.S. Navy's Arleigh Burke (DDG-51) Class Aegis Destroyer program. Under the Navy's direction, the DDG-51 class construction yards are aggressively pursuing the transition to CAD-based design, construction and life cycle support. Through the CAD initiative, acquisition costs can be reduced without reduction of ships' capability. Building a three dimensional (3D) computer generated model of the ship prior to construction will facilitate the identification and resolution of interference and interface problems that would otherwise remain undetected until actual ship construction. The 3D database contains geometry and design data to support system design and concurrent engineering and is exchanged electronically between the construction yards. Detailed design drawings, fabrication sketches, and numerical control (NC) data are extracted directly from the database to support construction. At the completion of ship construction, as-built models will be provided to the planning yard for life cycle support.
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