Agent-based modelling of movement rules in DRC systems for volume flexibility: human factors and technical performance

Sammarco, M.; Fruggiero, Fabio; Neumann, Patrick; Lambiase, Alfredo

doi:10.1080/00207543.2013.807952

Cited by 30 publications

(10 citation statements)

References 98 publications

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“…on decisions concerning when to move workers to cope with a labor shortfall, where workers should be moved to, and who to move (e.g. Bobrowski & Park, 1993;Malhotra & Kher, 1994;Fredendall & Melnyk, 1996;Jensen 2000;Kher, 2000a;Kher & Fry, 2001;Bokhorst et al, 2004;Salum & Araz, 2009;Sammarco et al, 2014). In contrast, there is very limited research on the performance impact of order release control methods in DRC shops Fredendall et al, 1996).…”

Section: Introductionmentioning

confidence: 99%

Workload control in dual-resource constrained high-variety shops: an assessment by simulation

Thürer

Stevenson

Renna

2018

International Journal of Production Research

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Workload Control (WLC) seeks to align capacity with demand, where capacity is typically assumed to be restricted by a single constraintmachine capacity. In practice however, shops are often restricted by dual resource constraints: labor and machines. This study therefore uses simulation to investigate the performance of WLC in Dual Resource Constrained (DRC) highvariety shops with fully interchangeable labor. By considering several environmental factors and different labor assignment and dispatching rules, it is demonstrated that the order release function of WLC maintains its positive impact on performance in a DRC shop under different staffing levels. The positive effect of considering labor availability at release, as proposed in previous research, could not however be confirmed. Thus, the original release method can be applied if labor is fully interchangeable. In terms of labor assignment, we show that a distinct assignment pattern that differs between upstream and downstream stations improves performance if the routing is directed. Meanwhile, dispatching plays a less important role but creates important interaction effects with the assignment rule. Finally, the results suggest that increasing the service rate is a better response to the reduction in capacity that results from labor absenteeism than lowering the input frequency of work.

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Section: Introductionmentioning

confidence: 99%

Workload control in dual-resource constrained high-variety shops: an assessment by simulation

Thürer

Stevenson

Renna

2018

International Journal of Production Research

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“…single operator or team simulation). Methods such as THERP or CREAM (Cognitive Reliability and Error Analysis) were born as approaches for nuclear power plants and they consider only the typical accident scenarios in this context; so much effort needs to be applied in different fields, as manual assembly or manufacturing systems (Le, et al, 2012;Sammarco, et al, 2014). Jett and George (2003) defined the rest break as "planned or spontaneous suspension from work on a task that interrupts the flow of activity and continuity".…”

Section: Hra Methodologiesmentioning

confidence: 99%

An HRA-based simulation model for the optimization of the rest breaks configurations in human-intensive working activities

et al. 2015

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Human errors in the workplace can have serious consequences such as accidents, malfunctions and quality defects in the performed task. The Simulator for Human Error Probability Analysis (SHERPA), recently proposed in literature, is able to estimate human reliability for different workplaces and to assess the impact of context via performance shaping factors (PSFs). SHERPA is not limited to the reliability assessment, as many existing HRA methods, but uses it in the operator recovery modelling and breaks scheduling simulation. The paper proposes a SHERPA-based methodology able to determine the rest breaks configuration which minimizes the costs associated with any type of error. More specifically, the model identifies the number, the relative time in shift and the duration of the work suspensions in order to ensure the operator's psychophysical recovery and consequently his optimal increase of reliability. The model has been applied to a case study showing interesting results in terms of economic effects of different breaks configurations.

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“…were not enough envestigated, and could be considered for future research. A few researchers have also studied the human factors and ergonomics in DRC systems (Jaber & Neumann, 2010;Sammarco et al, 2014;Botti et al, 2017).…”

Section: Dual Resource Constrained (Drc) Systemmentioning

confidence: 99%

Operations management issues in design and control of hybrid human-robot collaborative manufacturing systems: a survey

Hashemi-Petroodi

Thevenin

Kovalev

et al. 2020

Annual Reviews in Control

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A manufacturing system able to perform a high variety of tasks requires different types of resources. Fully automated systems using robots possess high speed, accuracy, tirelessness, and force, but they are expensive. On the other hand, human workers are intelligent, creative, flexible, and able to work with different tools in different situations. A combination of these resources forms a human-machine/robot (hybrid) system, where humans and robots perform a variety of tasks (manual, automated, and hybrid tasks) in a shared workspace. Contrarily to the existing surveys, this study is dedicated to operations management problems (focusing on the applications and features) for human and machine/robot collaborative systems in manufacturing. This research is divided into two types of interactions between human and automated components in manufacturing and assembly systems: dual resource constrained (DRC) and human-robot collaboration (HRC) optimization problems. Moreover, different characteristics of the workforce and machines/robots such as heterogeneity, homogeneity, and ergonomics are introduced. Finally, this paper identifies the optimization challenges and problems for hybrid systems. The existing literature on HRC focuses mainly on the robotic point of view and not on the operations management and optimization aspects. Therefore, the future research directions include the design of models and methods to optimize HRC systems in terms of ergonomics, safety, and throughput. In addition, studying flexibility and reconfigurability in hybrid systems is one of the main research avenues for future research.

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Agent-based modelling of movement rules in DRC systems for volume flexibility: human factors and technical performance

Cited by 30 publications

References 98 publications

Workload control in dual-resource constrained high-variety shops: an assessment by simulation

Workload control in dual-resource constrained high-variety shops: an assessment by simulation

An HRA-based simulation model for the optimization of the rest breaks configurations in human-intensive working activities

Operations management issues in design and control of hybrid human-robot collaborative manufacturing systems: a survey

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