Man-in-the-loop simulation

Buck, James R.; Deisenroth, Michael P.; Alford, Edwin C.

doi:10.1177/003754977803000502

Cited by 10 publications

(5 citation statements)

References 14 publications

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“…On-site studies are required to develop the simulation model. Laboratory man-inthe-loop simulation studies (Buck, Deisenroth, and Alford 1978) will also be required to provide parameter estimates for job performance under the new job designs. Since the computer simulation results only show workloads in terms of time percentages of directly observable tasks, additional information is needed to convert these time percentages to reflect human effort and to add operator tasks which are not directly observable.…”

Section: Discussionmentioning

confidence: 99%

A simulation model for ergonomic design of industrial processes

1987

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VORATAS KACHITVICHYANUKUL is an assistant professor in industrial and management engineering at The University of lowa. He holds a BS in chemical engineering from National Taiwan University, an M. Eng.from Asian Institute of Technology, and a PhD in industrial engineering from Purdue University. His current research interests are development of integrated simulation environment, special-purpose simulation language, and random variate generation. He is a member of ACM, TIMS, SCS, and IIE. JAMES R. BUCK is professor and chairman of the department of industrial and management engineering at The University of lowa. He holds BS and MS degrees in civil engineering from the Michigan Technological University and a PhD in industrial engineering from the University of Michigan. Prior to academia, he held positions in materials research, construction, and industrial design. He was on the faculties of the University of Michigan-Dearborn and Purdue University. His current teaching and research interests are in engineering ergonomics and economics where he has published about 75 research papers, book chapters, and technical reports. Dr. Buck has consulted with numerous firms and government agencies. He is a Senior Member of IIE and member of TIMS, HFS, ASEE, and Alpha Pi Mu. CHEE-SENG ONG holds a BS(1976), and MS(1979) in computer sciencefrom Purdue University. Since then he has worked as a system programmer with Boeing Commercial Airplane Company and later as a lecturer with the University of Malaya in Malaysia. Currently, he is a system analyst with Micromatics, a computer system house in Malaysia.ABSTRACT This study examines the feasibility and potential benefits of using simulation to aid designers of large industrial processes. A demonstration of simulations is provided in the basic oxygen furnace shop and subsequent steel-making operations prior to rolling slabs. We explore three design situations: (1) a new processing technology, (2) the removal of bottlenecks in current operations, and (3) sensitivities of processing to equipment failures. Overall shop productivity and the time workloads of crews and individual process operators are examined. Contrasts are made on these criteria between the current mode of operation and the potential design situations stated above through simulation experiments. Results of these simulation experiments provide the basis for economic and ergonomic justification as well as indications for further improvements in the ergonomic facets of design.

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Section: Discussionmentioning

confidence: 99%

A simulation model for ergonomic design of industrial processes

1987

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“…A particular feature of this type of architecture is that the traffic simulation model does not implement any control logic, instead it controls traffic flow in the simulation based on the phase states produced by the traffic signal control equipment. Simultaneously, the traffic signal control equipment uses the detector signals generated by the simulation to update its control logic (see Figure 2(a)) [5]. HILS has been used in the past to interface with traffic signal control equipment for testing purposes; however, previous systems focused on testing intersection control software.…”

Section: Hardware-in-the-loop Simulationmentioning

confidence: 99%

“…The diagram used in the configurator to show the Input File current assignments (see Figure 6) is the same as that used in [1] to describe the physical input number for each input file slot for a Model 334 cabinet. An input configurator was included in this tool, because it is necessary to map every detector used in the simulation to the corresponding detector in the 2070 controller, as recommended in [5]. In this configuration application, it is possible to independently change the state of each active input.…”

Section: A 2070 Controller Input Configuratormentioning

confidence: 99%

“…The real-time nature of the hardware-in-the-loop simulation (HILS) tool is limited by the performance of the Windows XP operating system, which only permits a 1 ms time resolution. Even though an actual HILS simulation step (∆t actual ) may take less than 1 ms, this time is usually larger, since Windows XP does not have sufficient realtime capability to effectively implement such precise timing [5]. To compensate for this limitation, the simulation was designed so that the timing of the simulator would be based on three time stamps: 1) a reference time stamp obtained at the beginning of the simulation run (t o ), 2) a time stamp recorded in the (i-1)th simulation step (t i−1 ), and 3) a time stamp obtained in the current (ith) simulation step (t i ).…”

Section: On-ramp Simulatormentioning

confidence: 99%

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Hardware-In-The-Loop On-ramp Simulation Tool to Debug and Test the Universal Ramp Metering Software

Sanchez

Horowitz

Varaiya

2009

IFAC Proceedings Volumes

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“…Furthermore, it is also prevalent in daily life, such as virtual reality games and education. 4 Real-time simulation is performed with discrete-time and constant steps. The time required to compute solutions must be shorter than the duration of the time step, or an overrun will occur, which usually means the real-time simulation is considered erroneous.…”

Section: Introductionmentioning

confidence: 99%

An implicit multistep numerical method for real-time simulation of stiff systems

Zhang

Wang

et al. 2021

SIMULATION

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Simulating a physical system in real-time is widely used in equipment design, test, and validation. Though an implicit multistep numerical method excels at solving physical models that are usually composed of stiff ordinary differential equations, it is not suitable for real-time simulation because of state discontinuity and massive iterations for root finding. Thus, a method based on the backward differential formula is presented. It divides the main fixed step of real-time simulation into limited minor steps according to computing cost and accuracy demand. By analyzing and testing its capability, this method shows advantage and efficiency in real-time simulation, especially when the system contains stiff equations. A simulation application will have more flexibility while using this method.

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Man-in-the-loop simulation

Cited by 10 publications

References 14 publications

A simulation model for ergonomic design of industrial processes

A simulation model for ergonomic design of industrial processes

Hardware-In-The-Loop On-ramp Simulation Tool to Debug and Test the Universal Ramp Metering Software

An implicit multistep numerical method for real-time simulation of stiff systems

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