A simulation-based methodology to analyse production line disruptions

Padhi, Sidhartha S.; Wagner, Stephan M.; Niranjan, Tarikere T.; Aggarwal, Vijay

doi:10.1080/00207543.2012.720389

Cited by 29 publications

(10 citation statements)

References 30 publications

(38 reference statements)

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“…However, this process can be very tedious and time-consuming. Many tools of analysis, especially DoE, can improve the likelihood of arriving at the optimal set of system design parameters, as shown in previous research [26].…”

Section: Methodsmentioning

confidence: 96%

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A meta-model based simulation optimization using hybrid simulation-analytical modeling to increase the productivity in automotive industry

Dengız

İç

Belgin

2016

Mathematics and Computers in Simulation

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Section: Methodsmentioning

confidence: 96%

“…Discrete event simulation models can be thought of as physical systems, with the system parameters as the inputs and the results of the simulation runs as the outputs [26]. As with all real systems, a system designer is faced with the difficulty of choosing the values of the parameters that would improve or even optimize the output.…”

Section: Methodsmentioning

confidence: 99%

A meta-model based simulation optimization using hybrid simulation-analytical modeling to increase the productivity in automotive industry

Dengız

İç

Belgin

2016

Mathematics and Computers in Simulation

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“…Special attention was focused on the modelling of intermediate storages and the strategy of moving the pieces over the production system [49,50]. For each workplace, it is valid for the worker to perform the task and postpone the semi-finished product in an intermediate warehouse.…”

Section: Model Of the Push Lean Gamementioning

confidence: 99%

Motivational Lean Game to Support Decision between Push and Pull Production Strategy

Herakovič¹,

Metlikovic²,

Debevec³

2014

Int. j. simul. model.

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In this paper, we present and propose the interactive push-pull lean game with a specific approach for training/testing of production processes. With our approach of combining the psychologically effective physical lean game and the simulation lean game for deeper analyses of the production process, we can successfully overcome the communication and motivation problems of production and management workers when new production strategies are being introduced into the company to raise the competitiveness. The game only takes two hours and it has been proven to be effective with leadership teams and shop floor workers alike in more than 50 real-case production environments. The game is played in two parts where each part is in sharp contrast to the other with respect to results. Once the participants of the game see the effects of both production strategies, they become extremely engaged and motivated, and it becomes much easier to manage organizational improvements. In the third chapter of the paper, we present the Virtual factory computer models of the game dynamic, showing the same results as obtained with groups. The two simulation models serve to test and verify the interactive game. The paper ends with the discussion and conclusions.

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“…The first direction is the scheduling of the production operations in time scale [1,22,27,38,39], and that is the most frequently addressed issue in practice. The second area is focused on the improvement of the production process at the level of the performing of operations [3,16,17,21,32]. To the third area belong some special principles to improve the efficiency of the production process [4, 6÷8, 12÷14, 18÷20, 23÷30, 40÷42].…”

Section: The Basics Of Virtual Factorymentioning

confidence: 99%

An innovative training of production planners through virtual production performing

et al. 2016

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Original scientific paper Nowadays the production process with as few as possible deadlocks is the most important goal of management in every company. An optimized production process can be reached with well-trained personnel and especially with well-trained schedule planners. In this contribution, a new strategy on how to train production planners for different types of production by using virtual factory is presented. Also, two specially developed parametric simulation models for typical make-to-order and large-scale types of production are presented. Every model describes the real production process in detail so that it enables the observation of responses to the different input data. In the first step, the strategy covers the training of personnel so that they learn how varied input data reflect in the output results. The second strategy step is supporting schedule planning by using virtual factory where variants of schedule plans are tested much earlier than the real production process is performed. Keywords: modelling; optimization; simulation; schedule plan; training; virtual factory Inovativna obuka za planere proizvodnje kroz odvijanje virtualne proizvodnjeIzvorni znanstveni članak Danas je proces proizvodnje s najmanje zastoja najvažniji cilj upravljanja u svakom poduzeću. Optimizirani proces proizvodnje može se postići s dobro obučenim osobljem i osobito s dobro obučenim planerima proizvodnje. U ovom članku predstavljena je nova strategija treniranja planera proizvodnje za više tipova proizvodnje uz korištenje virtualne tvornice. Također su prikazana dva posebno razvijena parametarska simulacijska modela za tipične vrste pojedinačne i velikoserijske proizvodnje. Svaki model opisuje stvarni proizvodni proces u detalje i tako omogućuje promatranje odgovora na različite ulazne podatke. U prvom koraku ova strategija obuhvaća obuku osoblja, da nauče kako se različiti ulazni podaci odražavaju u izlaznim rezultatima. Drugi korak ove strategije je podupiranje planiranja proizvodnje uz pomoć virtualne tvornice, u kojoj se varijante proizvodnog plana testiraju mnogo ranije nego što se realni proizvodni proces odvije.

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A simulation-based methodology to analyse production line disruptions

Cited by 29 publications

References 30 publications

A meta-model based simulation optimization using hybrid simulation-analytical modeling to increase the productivity in automotive industry

A meta-model based simulation optimization using hybrid simulation-analytical modeling to increase the productivity in automotive industry

Motivational Lean Game to Support Decision between Push and Pull Production Strategy

An innovative training of production planners through virtual production performing

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