An analytical method for the performance evaluation of echelon kanban control systems

Koukoumialos, Stelios; Liberopoulos, George

doi:10.1007/s00291-004-0188-0

Cited by 11 publications

(5 citation statements)

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“…When there are large changes in demand, the Kanban system cannot respond quickly and smoothly. Much research has studied the behaviour and performance of the Kanban system in recent years (see Di Mascolo (1996), Krieg and Kuhn (2004), Koukoumialos and Liberopoulos (2005), Shahabudeen and Sivakumar (2007)), but there are few methods presented on cards adjusting in the Kanban system. Takahashi and Nakamura's system (1999) is developed for unstable changes in demand.…”

Section: Kanbanmentioning

confidence: 99%

Dynamic card number adjusting strategy in card-based production system

Liu

Huang

2009

International Journal of Production Research

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In a production line, throughput rate changes according to WIP (work in process) level and WIP is controlled through the number of production cards in a card-based production system. This paper presents a fast tuning card adjusting procedure using the CONWIP system, which can adjust the number of production cards to ensure desirable throughput rate. The method, termed DTC (difference throughput control), is based on the concept of classic automatic control theory. Whenever a TTH (target throughput value) is set, the difference between TTH and RTH (real time throughput value) is used to adjusting the number of cards. We test this procedure with an existing one in a variety of scenarios; the results show that the proposed procedure is competitive. We also analyse how processing time impacts on the performance of CONWIP system through simulation data.

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Section: Kanbanmentioning

confidence: 99%

Dynamic card number adjusting strategy in card-based production system

Liu

Huang

2009

International Journal of Production Research

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“…Additionally, the variability presented in the Ecuadorian SMEs context can influence negatively in the performance of Kanban systems. It is based in results like the presented by Koukoumialos and Liberopoulos [47] that show how a processing times with CV 2 beyond 1 reduce significantly the production capacity of a Kanban system. Similarly, the inter arrival time [26] and the volume demand variability presented in the Ecuadorian SMEs company can destroy the flow and undermine the performance of this kind of systems [48].…”

Section: Set-up Correlation: Sequenceindependent Set-up Timesmentioning

confidence: 99%

A Framework for the Selection or Design of Production Planning and Control Systems: A Case of Application

Buestan¹,

Lopez²,

Landeghem³

2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

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Choosing and designing production planning and control systems are critical tasks because they provide the means to translate the corporate strategy into direct shop floor actions. However, it is not always easy to find the correct systems for an application. This difficulty occurs if the company does not present the necessary criteria for the system, in which case the expected benefits may not be achieved. This study proposes a framework to support the selection or design of a production planning and control system (PPCS) based on the current characteristics of a company. Using relevant parameters, companies are categorized and posteriorly evaluated, identifying the negative and positive relations between the company characteristics and the principles of the evaluated PPCSs. To test the proposed framework, we apply it to determine a suitable system for Ecuadorian small and medium-sized enterprises. Simplified drum buffer rope (S-DBR) approach is found to be a suitable PPCS, and the framework suggested some necessary enhancements to resolve potential weaknesses that could arise during the application of S-DBR.Keywords-production planning and control systems, framework, PPCS selection, small and medium manufacturing enterprises, simplified drum buffer rope

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“…There have been several other applications of CQN modeling and analysis to manufacturing, and in particular kanban and other pull control mechanisms (e.g., Di Mascolo et al 1996;Baynat et al 2001;Satyam and Krishnamurthi 2008), as well as production lines with finite buffers (e.g., Lagershausen et al 2013). In one of these applications, Koukoumialos and Liberopoulos (2005) develop an analytical approximation method for the performance evaluation of a multi-stage production inventory system operated under an echelon kanban (EK) policy. The connection between the EK policy and the EB policy becomes evident once the association between the number of available echelon kanbans in EK and the number of available buffer spaces in EB is made.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation of a production line operated under an echelon buffer policy

Liberopoulos

2018

IISE Transactions

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We consider a production line consisting of several machines in series separated by intermediate finitecapacity buffers. The line operates under an "echelon buffer" (EB) policy according to which each machine can store the parts that it produces in any of its downstream buffers if the next machine is occupied. If the capacities of all but the last buffer are zero, the EB policy is equivalent to CONWIP. To evaluate the performance of the line under the EB policy, we model it as a queueing network, and we develop a method that decomposes this network into as many nested segments as there are buffers and approximates each segment with a two-machine subsystem that can be analyzed in isolation. For the case where the machines have geometrically distributed processing times, we model each subsystem as a two-dimensional Markov chain that can be solved numerically. The parameters of the subsystems are determined by relationships among the flows of parts through the echelon buffers in the original system. An iterative algorithm is developed to solve these relationships. We use this method to evaluate the performance of several instances of 5-and 10-machine lines including cases where the EB policy is equivalent to CONWIP. Our numerical results show that this method is highly accurate and computationally efficient. We also compare the performance of the EB policy against the performance of the traditional "installation buffer" policy according to which each machine can store the parts that it produces only in its immediate downstream buffer if the next machine is occupied.

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An analytical method for the performance evaluation of echelon kanban control systems

Cited by 11 publications

References 1 publication

Dynamic card number adjusting strategy in card-based production system

Dynamic card number adjusting strategy in card-based production system

A Framework for the Selection or Design of Production Planning and Control Systems: A Case of Application

Performance evaluation of a production line operated under an echelon buffer policy

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