Clarifying CONWIP versus push system behavior using simulation

Enns,; Rogers, Eric

doi:10.1109/wsc.2008.4736277

Cited by 11 publications

(17 citation statements)

References 6 publications

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“…Many studies have been conducted in order to define the optimal parameters of these control mechanisms [9][10][11][12][13], but also there are several studies answering the question of which control mechanism is a better choice in a given production setting. [14][15][16][17][18][19][20][21][22][23][24]. Some studies contradict each other [15,22], and despite the large number of comparisons of individual mechanisms, no research was done that would include a higher number of mechanisms and consider parameters that significantly affect the defined prerequisite for achieving pull.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Pull Production Control Mechanisms by Simulation

Tošanović

Štefanić

2021

Processes

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Today, companies need to continuously improve their production processes, which is a complex task. Lean manufacturing is one of the methodologies for production improvement, and one of the basic goals of any lean implementation is to reduce work-in-process (WIP) and shorten the production lead time. One of the basic lean principles for achieving these goals is pull principle. The adoption of this principle is quite challenging, as it requires a long-term commitment in the application and adoption of various lean techniques and tools that are prerequisites for the successful introduction of the pull principle. Kanban is the most well-known pull production control mechanism, and the first one developed within Toyota production system, but later, other pull control mechanisms were developed. Some of them include Conwip, Hybrid Kanban/Conwip, and Drum Buffer Rope (DBR), and those three, together with Kanban, were the research topic of this study. These four mechanisms were not explored and compared all together not for these specific production configurations considered in this research but also with regard to optimal parameters of control mechanisms. The goal was to analyze and compare how these pull control mechanisms affect lead time in different production conditions. For this purpose, simulation experiments were performed. The results showed that for different production conditions, different pull control mechanisms are optimal in terms of shortening lead time. This finding could help companies as a guideline for making a decision in terms of which pull control mechanism to choose.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Pull Production Control Mechanisms by Simulation

Tošanović

Štefanić

2021

Processes

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“…Therefore, CONWIP is not inherently superior to other production control systems. Enns and Rogers [14] evaluated the performance of the push system and the CONWIP systems in a simple and balanced manufacturing line. Simulation and analytical modeling were used to compare the trade-offs between inventory and throughput.…”

Section: Conwipmentioning

confidence: 99%

Fundamental simulation studies of CONWIP in front-end wafer fabrication

Muhammad

Feng

Kamarrudin

et al. 2015

Journal of Industrial and Production Engineering

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Production planning and control in semiconductor manufacturing is complicated by high-level of re-entrant. Job batching is commonly used to reduce required setup time and maximize workstation utilization. New research promotes CONWIP in pull production systems, while limiting overall work-in-process. However, the implications of batching on CONWIP systems have not been well studied. This paper describes a series of simulation studies and adopted ANOVA and response surface methodology to investigate the effects and relationship of batching on different numbers of CONWIP cards, demand composition, re-entrant, and setup times. Simulation results show that all batching systems exhibited a high number of CONWIP cards and low job mix, total layers, and setup times when the lowest average flow time as well as the highest throughput level and workstation utilization are achieved. The overall result reveals that batching systems outperform non-batching systems in the simulation model of a CONWIP production control system in semiconductor manufacturing.

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“…When compared to Kanban, CONWIP production systems are easier to manage because there is only a single global set of cards that has to be adjusted for the whole system (Marek et al, 2001). According to (Enns & Rogers, 2008), however, it is hard to compare the actual performance of CONWIP with that of other systems like Kanban or MRP. It was found that different studies came to varying conclusions in regard to performance of these systems, as seen in (Altendorfer & Jodlbauer, 2007), (Enns & Rogers, 2008), (Hochreiter, 1999), and(Jodlbauer &Huber, 2008).…”

Section: Aspects For Small-and Medium-sized Businessesmentioning

confidence: 99%

“…According to (Enns & Rogers, 2008), however, it is hard to compare the actual performance of CONWIP with that of other systems like Kanban or MRP. It was found that different studies came to varying conclusions in regard to performance of these systems, as seen in (Altendorfer & Jodlbauer, 2007), (Enns & Rogers, 2008), (Hochreiter, 1999), and(Jodlbauer &Huber, 2008). Therefore, it is not feasible to provide a general recommendation on which manufacturing system to use.…”

Section: Aspects For Small-and Medium-sized Businessesmentioning

confidence: 99%

Adapting CONWIP Characteristics for Conventional Production Planning

Gastermann¹,

Stopper²,

Katalinic³

2012

Daaam International Scientific Book 2012

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The main purpose of this paper is to introduce the reader to some characteristics of the Constant Work-In-Process (CONWIP) manufacturing system. Starting with basic principles of manufacturing like push and pull, an overview of the most common and significant production strategies and manufacturing systems is provided in order to allow a better understanding of the origins and properties of the CONWIP system. Being the focus of this paper, various aspects of CONWIP are discussed. Furthermore, by means of a simplified production order list, which is a CONWIP-based planning mechanism, the operating mode of CONWIP is demonstrated. Building upon this, a CONWIP implementation case study is presented by which aspects for conventional production planning are outlined.

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Clarifying CONWIP versus push system behavior using simulation

Cited by 11 publications

References 6 publications

Evaluation of Pull Production Control Mechanisms by Simulation

Evaluation of Pull Production Control Mechanisms by Simulation

Fundamental simulation studies of CONWIP in front-end wafer fabrication

Adapting CONWIP Characteristics for Conventional Production Planning

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