<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>The re-entrant flow with an unpredictable nature of arrival would apparently harm production plans and schedules in flow type of shops. The re-entrant flow with varied arrival frequencies in rotor blade manufacturing is quite complicated and results in disproportionate workloads. Hence, an attempt has been made to study the significant influence of disproportionate workloads and research on an innovative order release method to enhance performance. The manufacturing process was observed thoroughly to incorporate the uncertain events that cause disturbance in the production. A simulation model was developed on a discrete event simulation platform by analysing problem phenomena right from the conceptualization phase. The model has been verified and validated to ensure the accuracy. The model was subjected to 288 experiments representing different scenarios that a flow shop undergoes in reality. The factors considered in the experimentation were re-entrant frequency, re-entrant proportions, order release methods and priority dispatching rules. A refined load release policy for disproportionate loads has been proposed to judge its effectiveness in terms of profit computation by comparing it with other relevant policies. Results of the experiment revealed that the order release methods contribute 95.93% to throughput performance, in addition, the use of the new re-entrant method policy in the above scenario was productive in improving the overall shop performance. </p>
</abstract>

The re-entrant flow with an unpredictable nature of arrival would apparently harm production plans and schedules in flow type of shops. The re-entrant flow with varied arrival frequencies in rotor blade manufacturing is quite complicated and results in disproportionate workloads. Hence, an attempt has been made to study the significant influence of disproportionate workloads and research on an innovative order release method to enhance performance. The manufacturing process was observed thoroughly to incorporate the uncertain events that cause disturbance in the production. A simulation model was developed on a discrete event simulation platform by analysing problem phenomena right from the conceptualization phase. The model has been verified and validated to ensure the accuracy. The model was subjected to 288 experiments representing different scenarios that a flow shop undergoes in reality. The factors considered in the experimentation were re-entrant frequency, re-entrant proportions, order release methods and priority dispatching rules. A refined load release policy for disproportionate loads has been proposed to judge its effectiveness in terms of profit computation by comparing it with other relevant policies. Results of the experiment revealed that the order release methods contribute 95.93% to throughput performance, in addition, the use of the new re-entrant method policy in the above scenario was productive in improving the overall shop performance.

Investigation of Workload Control Methods for Shops with Re-Entrant Flows

Management Systems in Production Engineering

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Investigation of Workload Control Methods for Shops with Re-Entrant Flows"}

The re-entrant flow with an unpredictable nature of arrival would apparently harm production plans and schedules in flow type of shops. The re-entrant flow...

Investigation of Workload Control Methods for Shops with Re-Entrant Flows

Published Online: Feb 26, 2024

Page range: 145 - 155

Received: Aug 01, 2023

Accepted: Jan 01, 2024

DOI: https://doi.org/10.2478/mspe-2024-0014

Keywords
ANOVA, Re-entrants, Rotor blade manufacturing, Simulation, Turkey’s test

© 2024 Aruna Prabhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Investigation of Workload Control Methods for Shops with Re-Entrant Flows

Published Online: Feb 26, 2024

Page range: 145 - 155

Received: Aug 01, 2023

Accepted: Jan 01, 2024

DOI: https://doi.org/10.2478/mspe-2024-0014

KeywordsANOVA, Re-entrants, Rotor blade manufacturing, Simulation, Turkey’s test

© 2024 Aruna Prabhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
ANOVA, Re-entrants, Rotor blade manufacturing, Simulation, Turkey’s test