Integration of JIT flexible manufacturing, assembly and disassembly system using Petri net approach

Seeluangsawat, Roongrat; Bohez, Erik L. J.

doi:10.1108/17410380410555934

Cited by 16 publications

(9 citation statements)

References 29 publications

(41 reference statements)

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“…Assembly sequence planning for complex products Method based on GAAA and optimizing using assembly path feedback Lv and Lu (2010) Assembly sequence planning Discrete particle swarm optimization McGovern and Gupta (2015) Unified assembly and disassembly processes Development of mathematical formulae Padron et al (2009) Cost oriented assembly line balancing Quantitative methodology Seeluangsawat and Bohez (2004) Integration of JIT manufacturing, assembly and disassembly systems Petri-net approach Shan et al (2009) Assembly sequence planning Genetic simulated annealing algorithm Sinanoglu and Borklu (2005) Assembly sequence planning of mechanical parts Methodology using neural networks Ma et al (2018) Assembly sequence planning Assembly Sequence plans Qiao et al (2018) Ontology based modeling and reasoning framework Assembly Sequence plans Favi et al (2017) Multi criteria decision making Definition of feasible design options Kuang et al (2016) AND/OR graphs and dynamic programming Concurrent design for assembly plans Franciosa et al (2016) Nested polynomial chaos expansion approach Fixture capability optimization (continued) using a mathematical approach and not product design. Seeluangsawat and Bohez (2004) proposed the integration of JIT flexible manufacturing, assembly and disassembly systems by resorting to a Petri-net approach.…”

Section: Hui Et Al (2009)mentioning

confidence: 99%

Ease of product assembly through a time-based design methodology

Desai

2019

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Purpose This paper aims to present a design methodology to enable product design for ease of assembly. It is corroborated by means of a case study. The methodology is based on standard time data. This enables quick computation of assembly time as well as comparing different design options for ease of assembly. Design/methodology/approach Component design that is easy to assemble is likely to take less time and vice versa. Assembly time is a function of product design attributes such as geometric shape, weight, center of gravity, type of material, number of fasteners and types of fasteners. The methodology uses standard data to achieve its objective. Numeric scores are developed for each design feature based on the aforementioned design attributes. This enables not only computation of assembly time for a brand new product but also comparison of two or more alternative design configurations from the point of view of ease of assembly. Findings The value of the system is corroborated by means of case studies of actual product designs. It is demonstrated that changing any of the underlying design attributes (such as type of fastener used, number of fasteners used, material of the component and component shape) is likely to result in changing the amount of time taken to assemble the product. The scoring system facilitates the quick computation of assembly time Originality/value The amount of time to assemble a product before the product is ever designed is facilitated by this system. Assembly time is a direct function of product design attributes. Process time is calculated using standard data, specifically, the Methods Time Measurement (MTM) system. This is accomplished by converting design features into time measurement units (TMUs). Assembly cost can then be easily computed by using assembly time as the basis. The computation of assembly time and cost is important inasmuch as its role in influencing productivity. This is of obvious value not only to the designer but the company as a whole.

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Section: Hui Et Al (2009)mentioning

confidence: 99%

Ease of product assembly through a time-based design methodology

Desai

2019

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“…Some of them include: Pollock and Coulon (1996), Ross and Choong (1996) and Nagel and Meyer (1999). The issue of assessing the performance of centralized maintenance workshops (disassembly is a major component of the maintenance process) was addressed using a queuing network-based methodology by Simeu-Abazi et al (2014).The Petri-net approach was used to integrate JIT flexible manufacturing, assembly and disassembly systems by Seeluangsawat and Bohez (2004). A methodology for identifying the optimal disassembly sequence was presented by Cappelli et al (2007).…”

Section: Interactive System Frameworkmentioning

confidence: 99%

An interactive system framework to enable design for disassembly

Desai

Mital

2017

JMTM

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Purpose The purpose of this paper is to present an interactive system to enable product design for disassembly and to offer robust and quick design solutions based on designers’ input. Design/methodology/approach The system utilizes an interactive questionnaire to communicate with the designer. The questionnaire is in the form of binary questions (Yes/No) and design questions that would enable the system to learn the objectives of the design. Solutions are based on a CAD supported design platform. The efficiency of each design is calculated using disassembly time as the metric of measurement using motion-time measurement (MTM). The designer would be able to make an informed decision with respect to component functionality, ease of disassembly and disassembly time. The paper presents a detailed framework and structure of this system. Findings The value of the system is corroborated by means of a case study of an actual product design. The system is structured to offer multiple solutions to a design problem so as to enable the designer to choose the option that best serves their needs. Originality/value This novel interactive system would accept customers’ design preferences as input and offer multiple solutions in order to solve the design problem. Process time is directly calculated using the MTM system of measurement by converting design features into time measurement units. Disassembly time can then be easily converted into disassembly cost by using standard conversion rates. The value to designers is obvious.

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“…Petri Nets are graphical and mathematical tools used for modeling, formal analysis, and design of discrete event systems. Seeluangsawat and Bohez (2004) developed a new generic black token timed Petri Net model for the design of a flexible manufacturing (FMS), assembly (FAS) and disassembly (DAS) system with dual kanban under deterministic systems. Analysis and performance evaluation of the model are based on invariant analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Integration of JIT flexible manufacturing, assembly and disassembly using a simulation approach

Pisuchpen

2012

Assembly Automation

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PurposeIn the real world many companies combine the operations of manufacturing, assembly and disassembly. Thus, the integration of just‐in‐time FMS, FAS, and flexible disassembly system (DAS) models poses an interesting problem. The purpose of this paper is to provide major emphasis on a new simulation model for design and performance evaluation of a flexible assembly and disassembly system with dual Kanban under a stochastic system. This paper also primarily investigates the effect of varying the number of kanban cards, mean inter‐arrival time of demand and locations of the bottlenecks on the performance integration of JIT flexible manufacturing, assembly and disassembly systems.Design/methodology/approachSimulation is carried out in ARENA and data is analyzed using multivariate analysis of variance (MANOVA). This paper investigates the effect of varying number of kanban cards, mean inter‐arrival time of demand, and locations of the bottlenecks on the performance integration of JIT flexible manufacturing, assembly and disassembly systems. The performance measures that are simultaneously considered are the fill rate, work in process, and mean cycle time. This paper emphasizes that understanding the interactions between the variables and their effects on system performance is of utmost importance for managers in improving performance processes.FindingsIn manufacturing practice, there are many industrial units that represent the mixture of the referred three models. This paper presents a new simulation model for design and performance evaluation of a flexible assembly and disassembly system with dual kanban. The simulation results are statistically compared with MANOVA. MANOVA is used to perform the test with multiple objective functions, e.g. with the average production cycle time, percentage average fill rate, and work‐in‐process. The conclusion to be drawn is that minimized WIP can be obtained by higher percentage average fill rate, lower WIP, small average part cycles times, and increasing in kanban cards while simultaneously retaining full customer satisfaction.Originality/valueThe researcher presents the newly developed kanban system into the production system of JIT flexible manufacturing, assembly and disassembly system with simulation technique. Furthermore, by assigning time factors to the models, several performance measures can be easily computed. Then, the researcher tests the effect of the number of kanban card on integration of JIT flexible manufacturing, assembly and disassembly systems using a simulation approach, the simulation model is developed using the ARENA simulation package. The results are applied to a small case study. For a single product under the integration of JIT flexible manufacturing, assembly and disassembly systems, as the number of kanban cards increase, the fill rate along with work in process and the mean cycle time increases as well.

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Integration of JIT flexible manufacturing, assembly and disassembly system using Petri net approach

Cited by 16 publications

References 29 publications

Ease of product assembly through a time-based design methodology

Ease of product assembly through a time-based design methodology

An interactive system framework to enable design for disassembly

Integration of JIT flexible manufacturing, assembly and disassembly using a simulation approach

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