Worker deployment in dual resource constrained systems with a task-type factor

Zamiska, John R.; Jaber, Mohamad Y.; Kher, Hemant V.

doi:10.1016/j.ejor.2005.04.018

Cited by 29 publications

(16 citation statements)

References 15 publications

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“…The simplification also leads us to omit another important stream of literature on labor assignment, specifically in the context of cross-trained workforces that may possess different skill levelsthat on learning/forgetting (e.g. Malhotra et al, 1993;Fry et al, 1995;Kher et al, 1999;Kher, 2000b;Kannan & Jensen, 2004;Zamiska et al, 2007;Yue et al, 2008).…”

Section: Labor Assignment Rulesmentioning

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: Labor Assignment Rulesmentioning

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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“…The second group of studies investigated the effects of learning and forgetting on DRC systems (e.g., Jaber, Kher, & Davis, 2003;Kher et al, 1999;McCreery & Krajewski, 1999). These studies indicated that when workers are cross-trained, they incur productivity losses due to cycles of learning and forgetting that can negatively affect system performance (e.g., Jaber et al, 2003;Kher et al, 1999;Wisner & Pearson, 1993;Zamiska, Jaber, & Kher, 2007). These studies reported that forgetting on the part of the system operators can have a negative impact on the system's performance.…”

Section: Introductionmentioning

confidence: 97%

Modelling worker fatigue and recovery in dual-resource constrained systems

Jaber

Neumann

2010

Computers & Industrial Engineering

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“…In addition this study considered two further dependent variables which could affect work routine, physical and psychophysical aspects related with fatigue and stress and consequently absenteeism and safety issues (Santos and Resnick 1999;Zamiska, Jaber, andKher 2007, Bokhorst, Nomden, andSlomp 2008). These human factors related indicators included:…”

Section: Dependent Variablesmentioning

confidence: 99%

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

Sammarco

Fruggiero

Neumann

et al. 2013

International Journal of Production Research

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This research applies Agent Based Modeling (ABM) to study volume flexibility in a Dual Resource Constrained (DRC) assembly flow shop environment. The simulation experiment evaluated System and Human Effects of varying DRC system staffing levels according to Design (i.e., Workforce, Distance and Buffer Capacity), Sensitivity (i.e., Coefficient of Variation) and Operating (i.e., When-rule and Where-rule) factors. Results showed that the rule by which workers are assigned to workstations affects WIP and Flow Time performances more than production rates. Furthermore per-worker productivity was found to increase, compared to the fully staffed system, particularly where the Downstream movement rule was applied. Using the Downstream rule when changing stations after completing current tasks reduced Flow Time (-15%) and WIP (-10%). If another Where-rule is chosen then it may be preferable for workers to move only after completing all jobs in the station (Decentralized rule). For Utilization rates and Mean hourly Switching of work (Human Effects), the model shows complex relationships depending on almost all evaluated factors. The novel ABM approach used here enabled the evaluation of emergent system behaviors and showed potential to help firms understand both human and performance effects of operational choices in efforts to achieve volume flexibility

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Worker deployment in dual resource constrained systems with a task-type factor

Cited by 29 publications

References 15 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

Modelling worker fatigue and recovery in dual-resource constrained systems

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

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