Development and evaluation of a Basestock-CONWIP pull production control strategy in balanced assembly systems

Al-Hawari, Tarek; Qasem, Ahmed Gailan; Smadi, Hazem

doi:10.1016/j.simpat.2018.01.008

Cited by 8 publications

(2 citation statements)

References 20 publications

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“…The number of job types is four and is sufficient to draw valid conclusions about the priority rule (Duenyas, 1994; Harrison and Wein, 1990). The number of products and the number of stations used in this study are in line with the number of products and stations used in several other simulation studies of CONWIP systems (Framinan et al ., 2001; Paternina-Arboleda and Das, 2001; Ryan and Fred Choobineh, 2003; Gel et al ., 2007; Satyam and Krishnamurthy, 2008; Al-Hawari et al ., 2018; Roy and Ravikumaran, 2019).…”

Section: Simulation Study Of Net-conwip and Fcfs In A Conwip Systemmentioning

confidence: 99%

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: Simulation Study Of Net-conwip and Fcfs In A Conwip Systemmentioning

confidence: 99%

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

Díaz

Ardalan

2023

IMDS

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“…A balancing algorithm to control the stock of each productive stage is uses instead. According to Hawari, Qasem, and Smadi (2018), the control of WIP levels of both systems is similar, with the advantage of B-CONWIP being simpler, especially in environments with many productive stages and many products. Base Stock…”

Section: Basestock Conwipmentioning

confidence: 99%

Systematic review and discussion of production control systems that emerged between 1999 and 2018

Bagni

Filho

Thürer

et al. 2020

Production Planning & Control

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Integrating simulation and FITradeoff method for scheduling rules selection in job-shop production systems

Pergher

Frej

Roselli

et al. 2020

International Journal of Production Economics

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Development and evaluation of a Basestock-CONWIP pull production control strategy in balanced assembly systems

Cited by 8 publications

References 20 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

Systematic review and discussion of production control systems that emerged between 1999 and 2018

Integrating simulation and FITradeoff method for scheduling rules selection in job-shop production systems

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