A closed-loop model of a multi-station and multi-product manufacturing system using bond graphs and hybrid controllers

Sagawa, Juliana Keiko; Nagano, Marcelo Seido; Neto, Mauro Speranza

doi:10.1016/j.ejor.2016.08.056

Cited by 16 publications

(4 citation statements)

References 40 publications

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“…of the output flow) of stations upstream station i , and this relationship will be applied in the next subsection. Further details on the application of those equations on multiproduct manufacturing systems can be seen in Sagawa et al (2017) and in Sagawa & Nagano (2015) .…”

Section: Research Steps and Modelling Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Smart workload input-output control of production systems: A proof of concept

Sagawa

Oliveira

Mušič

et al. 2023

European Journal of Operational Research

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Section: Research Steps and Modelling Methodsmentioning

confidence: 99%

“…The controller deals with normalized error signals and its output is considered as a relative deviation from the steady state processing frequencies (for more information, see Sagawa et al, 2017 ). Depending on the specific scenario, this leads to different integrator gains K of the simplified process dynamics.…”

Section: Wlc Control Simulationmentioning

confidence: 99%

Smart workload input-output control of production systems: A proof of concept

Sagawa

Oliveira

Mušič

et al. 2023

European Journal of Operational Research

Self Cite

View full text Add to dashboard Cite

“…Similarly, risk aversion is also largely applied in supply chain analysis. Decision makers tend to avoid possible risk, sometimes at the cost of profit [16]. Risk sensitivity also has a direct impact on optimal strategy.…”

Section: Introductionmentioning

confidence: 99%

Fair but Risky? Recycle Pricing Strategies in Closed-Loop Supply Chains

Zhang

et al. 2018

IJERPH

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We argue that a Nash bargaining model with behavioral factors (i.e., fairness concern and risk aversion) should be introduced to the price strategizing process in the context of a closed-loop supply chain. We consider three different pricing models: The first is when both the manufacturer and the retailer have fairness concerns; the second is when both the manufacturer and the retailer have risk aversion; and the final is when the manufacturer has risk aversion but the retailer has both risk aversion and fairness concern. Then we examine the model with game theory. The results have shown that fairness and risk aversion change the optimal pricing strategy, which affects the expected profits of retailers and manufacturers. The impacts of two (relatively irrational) behavioral factors on the wholesale and retail prices of new products, the recycle price and recycle transfer price of the waste products, are not the same. For new products, the wholesale price is most affected by behavioral factors and the sales price scores second. For waste recycling products, the transfer price is most affected by behavioral factors and the recycle price scores second. When considering fairness and risk aversion in retail, fairness concern is good for both manufacturers and retailers. This innovative pricing strategy model adds implications for sustainability in supply chain operations.

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“…The method of Bond Graphs (BG) which is the core of this study was initiated by Paynter [20] and has been developed in a number of monographs [1,3,10,26,27,28] and publications [5,8,13,15,17,19,21,22,23,25]. Thanks to a singular approach to modeling elements of different physical nature, this method is especially suited for modeling energy systems consisting of mechanical, thermal, electrical and hydraulic elements which operate in the power system of an engine room.…”

Section: Introductionmentioning

confidence: 99%