2018
DOI: 10.1016/j.procir.2018.01.032
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Simulation-based Planning of a Kind of Complex Product General Assembly Line

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Cited by 12 publications
(4 citation statements)
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“…To better simulate the production of real assembly lines, more manufacturing elements were synthesized in simulation models, such as assembly line balance [13], machines energy consumption [14], material flow [15] and operating cost [16]. Wei [17] established a simulation model containing many environment factors like room temperature and lighting. Leung [18] enumerated machines' states such as stock-out, blocking and starvation that can be considered in a simulation model.…”
Section: Simulation Methodsmentioning
confidence: 99%
“…To better simulate the production of real assembly lines, more manufacturing elements were synthesized in simulation models, such as assembly line balance [13], machines energy consumption [14], material flow [15] and operating cost [16]. Wei [17] established a simulation model containing many environment factors like room temperature and lighting. Leung [18] enumerated machines' states such as stock-out, blocking and starvation that can be considered in a simulation model.…”
Section: Simulation Methodsmentioning
confidence: 99%
“…In order to obtain the resource allocation solution that meets the demand of the order, we should optimize multiple responses simultaneously. The response surface metamodel y m of the performance indicator m is built as shown in Equation (1).…”
Section: Metamodel-based Multi-response Optimization Methodsmentioning
confidence: 99%
“…A fully quadratic regression analysis is chosen to establish the second-order RSM metamodels, as shown in Equation (1). There are seven second-order RSM metamodels representing the system performance indicators studied, as listed in Table 2.…”
Section: Metamodel Construction Based On Second-order Rsmmentioning
confidence: 99%
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