Work In Next Queue CONWIP

Bertolini, Massimo; Braglia, Marcello; Frosolini, Marco; Marrazzini, Leonardo

doi:10.1016/j.cie.2020.106437

Cited by 7 publications

(9 citation statements)

References 24 publications

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“…They give higher priority depending on the related priority rule, for example FCFS or SPT. Bertolini et al (2020) discuss the relative simplicity of managing a single-loop CONWIP system compared to a multi-CONWIP system and use simulation to compare the performance of two priority rules, FCFS and work in the next queue, which aims to balance the workload in the system in CONWIP in an MTO environment. They conclude that an effective approach for improving the performance of a CONWIP system is to adopt a more effective priority rule than the traditional FCFS rule.…”

Section: Conwip Systemsmentioning

confidence: 99%

“…m-CONWIP systems have been successfully applied in the context of make-to-stock (MTS). However, due to the complexity of determining the numbers and types of cards in each loop and among loops, the range of m-CONWIP applications has been limited (Germs and Riezebos, 2010; Bertolini et al ., 2020). Bertolini et al .…”

Section: Background and Positioningmentioning

confidence: 99%

“…Bertolini et al . (2020) discuss the relative simplicity of managing a single-loop CONWIP system compared to a multi-CONWIP system and use simulation to compare the performance of two priority rules, FCFS and work in the next queue, which aims to balance the workload in the system in CONWIP in an MTO environment.…”

Section: Background and Positioningmentioning

confidence: 99%

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Innovating in data-driven production environments: simulation analysis of Net-CONWIP priority rule

Díaz

Ardalan

2023

IMDS

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PurposeMotivated by recent research indicating that the operational performance of an enterprise can be enhanced by building a supporting data-driven environment in which to operate, this paper presents a simulation framework that enables an examination of the effects of applying smart manufacturing principles to conventional production systems, intending to transition to digital platforms.Design/methodology/approachTo investigate the extent to which conventional production systems can be transformed into novel data-driven environments, the well-known constant work-in-process (CONWIP) production systems and considered production sequencing assignments in flowshops were studied. As a result, a novel data-driven priority heuristic, Net-CONWIP was designed and studied, based on the ability to collect real-time information about customer demand and work-in-process inventory, which was applied as part of a distributed and decentralised production sequencing analysis. Application of heuristics like the Net-CONWIP is only possible through the ability to collect and use real-time data offered by a data-driven system. A four-stage application framework to assist practitioners in applying the proposed model was created.FindingsTo assess the robustness of the Net-CONWIP heuristic under the simultaneous effects of different levels of demand, its different levels of variability and the presence of bottlenecks, the performance of Net-CONWIP with conventional CONWIP systems that use first come, first served priority rule was compared. The results show that the Net-CONWIP priority rule significantly reduced customer wait time in all cases relative to FCFS.Originality/valuePrevious research suggests there is considerable value in creating data-driven environments. This study provides a simulation framework that guides the construction of a digital transformation environment. The suggested framework facilitates the inclusion and analysis of relevant smart manufacturing principles in production systems and enables the design and testing of new heuristics that employ real-time data to improve operational performance. An approach that can guide the structuring of data-driven environments in production systems is currently lacking. This paper bridges this gap by proposing a framework to facilitate the design of digital transformation activities, explore their impact on production systems and improve their operational performance.

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Section: Conwip Systemsmentioning

confidence: 99%

Section: Background and Positioningmentioning

confidence: 99%

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Innovating in data-driven production environments: simulation analysis of Net-CONWIP priority rule

Díaz

Ardalan

2023

IMDS

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“…Global dispatching rules that focus on the workload at stations downstream in the routing of jobs, so called look-ahead dispatching rules, typically realize better load balancing across stations; however, global dispatching rules are also more complex to implement (Dabbas & Fowler, 2003). A simple and effective global dispatching rule is the Work-in-Next-Queue rule, as used, for example, by Bertolini et al (2020). However, this rule may become dysfunctional if there are no further queues on which to base the dispatching decision, i.e.…”

Section: Blackstone Et Al 1982)mentioning

confidence: 99%

“…This mechanism integrates insights from the POLCA literature with insights from the literature on look-ahead dispatching rules (e.g. Bertolini et al 2020). The performance of the new mechanism is then assessed against a traditional POLCA system.…”

Section: Introductionmentioning

confidence: 99%

Self-Organizing Material Flow Control using Smart Products: An Assessment by Simulation

Thürer

Fernandes

Stevenson

et al. 2021

Journal of Industrial and Production Engineering

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Material Flow Control (MFC) mechanisms control the movement of jobs through a set of stationery capacity resources on the shop floor. Although the objective of MFC is item-centric, i.e. to control the flow of individual jobs, most existing MFC mechanisms are resource-centric, i.e. focus on managing the capacity resources. While this was justified by technical constraints on real-time information feedback, advances in technology allow for new designs. In particular, smart products are cognizant of their local context and can communicate with one another through the Internet of Things, thereby enabling self-organized control of individual jobs.Despite this potential most applications of smart products and the Internet of Things, including multi agent systems for scheduling and holonic control, continue to focus on hierarchical, centralized data and control structures. In response, this study develops a simple item-centric MFC mechanism and uses simulation to proof the feasibility of self-organized control.

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Factors for choosing production control systems in make-to-order shops: a systematic literature review

et al. 2020

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Work In Next Queue CONWIP

Cited by 7 publications

References 24 publications

Innovating in data-driven production environments: simulation analysis of Net-CONWIP priority rule

Innovating in data-driven production environments: simulation analysis of Net-CONWIP priority rule

Self-Organizing Material Flow Control using Smart Products: An Assessment by Simulation

Factors for choosing production control systems in make-to-order shops: a systematic literature review

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