Search results for "Operations Research"
showing 10 items of 1297 documents
New Trends in Manufacturing Processes Research 2020.
2020
Advancing manufacturing processes research at NAMRC 46
2018
Research on manufacturing processes is further enriched and becomes stronger at the 46th North American Manufacturing Research Conference (NAMRC 46) at Texas A&M University, College Station, TX, USA. Manufacturing processes are tightly connected to innovation. They have been the key areas that support and influence a nation’s competitiveness and economy since the eighteenth century. As the primary driving force behind economic growth, manufacturing processes enable and facilitate innovative products realisation, ranging from heavy-duty machinery to smart home electronics. In the past centuries, they have contributed significantly to modern civilisation and created the momentum that driv…
New trends in manufacturing processes research
2019
Research on manufacturing processes is further enriched and becomes stronger at the 47th North American Manufacturing Research Conference (NAMRC 47) at Penn State University, The Behrend College, Erie, Pennsylvania USA. Innovation is fundamentally connected to products or processes: the former being rarer and more difficult to be obtained, the latter is definitively related to economy, competitiveness and welfare of a nation. Furthermore, the research and success in innovation of processes permit also the proposition of innovative products. Manufacturing processes engineering is of primary interest for industries and new challenges are faced every day in order to reduce costs, increase comp…
Latest developments in manufacturing processes at NAMRC 45
2017
Manufacturing processes are tightly connected to innovation.They have been the key areas that support and influence a nation’scompetitiveness and economy since the eighteenth century. Asthe primary driving force behind economic growth, manufactur-ing processes enable and facilitate innovative products realization,ranging from heavy-duty machinery to hi-tech home electronics.In the past centuries, they have contributed significantly to moderncivilization and created the momentum that drives today’s econ-omy. Despite various achievements in manufacturing processes, weare still facing challenges due to growing complexity in manufac-turing operations, introduction of new manufacturing technolog…
Ultrasonic phased array inspection of wire plus arc additive manufacture samples using conventional and total focusing method imaging approaches
2019
In this study, three aluminium samples produced by wire + arc additive manufacture (WAAM) are inspected using ultrasonic phased array technology. Artificial defects are machined using a centre drill, ø 3 mm, and electrical discharge machining (EDM), ø 0.5-1 mm, in a cylindrical through-hole topology. The samples are first inspected using a single-element wheel probe mounted on a KUKA robot in order to investigate the feasibility of using a conventional ultrasonic transducer approach. Unfortunately, the wheel probe is found to be unsuitable for scanning the WAAM specimens and ultrasonic phased arrays are employed next. The set-up includes 5 MHz and 10 MHz arrays (128 elements) in direct cont…
Stopover strategies in birds: a review of methods for estimating stopover length
1999
This study categorizes and reviews methods used to estimate stopover length in migratory birds. Stopover length is an important variable in analysing migration strategies. The analysis of the stopover pattern of migratory birds typically attempts to investigate variability in the number of stopovers and in the length of time spent at stopover sites in relation to species, age, sex and body condition. Although the number of capture-recapture studies analysing stopover length has increased substantially, most are analysed using the simple last-first capture method which gives biased estimates. The use of mathematical models to calculate stopover length is uncommon. Most researchers assume hom…
On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization
2016
Surrogate-assisted evolutionary multiobjective optimization algorithms are often used to solve computationally expensive problems. But their efficacy on handling constrained optimization problems having more than three objectives has not been widely studied. Particularly the issue of how feasible and infeasible solutions are handled in generating a data set for training a surrogate has not received much attention. In this paper, we use a recently proposed Kriging-assisted evolutionary algorithm for many-objective optimization and investigate the effect of infeasible solutions on the performance of the surrogates. We assume that constraint functions are computationally inexpensive and consid…
A multistage heuristic for storage and retrieval problems in a warehouse with random storage
2017
The warehouse is one of the essential components of logistics and supply chains. The efficiency of the whole chain is affected by the performance of warehouse operations and, more particularly, the storage and retrieval of goods. This paper considers a storage and retrieval problem in a real warehouse with random storage and different types of forklifts, depending on the locations they can access. The problem deals with selecting locations to store/retrieve a predefined set of pallets, assigning an adequately skilled forklift to each operation and determining the order in which each forklift will perform its operations so that the total employed time is minimized. The problem is solved heur…
A parallel variable neighborhood search approach for the obnoxious p -median problem
2018
Interactive Multiobjective Robust Optimization with NIMBUS
2018
In this paper, we introduce the MuRO-NIMBUS method for solving multiobjective optimization problems with uncertain parameters. The concept of set-based minmax robust Pareto optimality is utilized to tackle the uncertainty in the problems. We separate the solution process into two stages: the pre-decision making stage and the decision making stage. We consider the decision maker’s preferences in the nominal case, i.e., with the most typical or undisturbed values of the uncertain parameters. At the same time, the decision maker is informed about the objective function values in the worst case to support her/him to make an informed decision. To help the decision maker to understand the behavio…