Estimation of Reliability Characteristics in a Production Scheduling Model with Failures and Time-Changing Parameters Described by Gamma and Exponential Distributions

Kempa, Wojciech M.; Paprocka, Iwona; Kalinowski, Krzysztof; Grabowik, Cezary

doi:10.4028/www.scientific.net/amr.837.116

Cited by 25 publications

(25 citation statements)

References 8 publications

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“…Examples using normal, exponential, triangular distributions to describe both failure and repair times are described in [28]. In the article [29], it is assumed that the parameters of distributions describing failure-free times, in general, change with time. Based on information about the number of failures and failure-free times in different periods of the same duration in the past, some methods for estimating unknown parameters for scheduling purposes can be proposed [30].…”

Section: Availability and Reliability Of Machinesmentioning

confidence: 99%

Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems

2017

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Abstract:The problem of production flow in manufacturing systems is analyzed. The machines can be operated by workers or by robots, since breakdowns and human factors destabilize the production processes that robots are preferred to perform. The problem is how to determine the real difference in work efficiency between humans and robots. We present an analysis of the production efficiency and reliability of the press shop lines operated by human operators or industrial robots. This is a problem from the field of Operations Research for which the Discrete Event Simulation (DES) method has been used. Three models have been developed, including the manufacturing line before and after robotization, taking into account stochastic parameters of availability and reliability of the machines, operators, and robots. We apply the OEE (Overall Equipment Effectiveness) indicator to present how the availability, reliability, and quality parameters influence the performance of the workstations, especially in the short run and in the long run. In addition, the stability of the simulation model was analyzed. This approach enables a better representation of real manufacturing processes.

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Section: Availability and Reliability Of Machinesmentioning

confidence: 99%

Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems

2017

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“…-b is estimated on the assumption that the probability of the failure-free time of the bottle_neck is less than b equalling 70% (Paprocka and Skołud 2013 (Paprocka and Kempa 2012;Skołud et al 2011;Kempa et al 2014). The MIDOS is computed if the operation can be executed on the bottleneck which is a parallel machine.…”

Section: Predictive Scheduling Methodsmentioning

confidence: 99%

“…The MTTR and the MTTF/MTTFF are described using probability density functions. Parameters of the functions are estimated using the Empirical Moments approach, the Renewal Theory based approach and the Maximum Likelihood approach (Skołud et al 2011;Kempa et al 2014). The mathematical description of the production model is presented by Paprocka and Kempa (2012).…”

Section: Problem Formulationmentioning

confidence: 99%

A hybrid multi-objective immune algorithm for predictive and reactive scheduling

Paprocka

Skołud

2016

J Sched

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The high productivity of a production process has a major impact on the reduction of the production cost and on a quick response to changing demands. Information about a failure-free machine operation time obtained in advance allows the users to plan preventive maintenance in order to keep the machine in a good operational condition. The introduction of maintenance work into a schedule reduces the frequency of unpredicted breaks caused by machine failures. It also results in higher productivity and in-time production. The foregoing of this constitutes the main idea of the predictive scheduling method proposed in the paper. Rescheduling of disrupted operations, with a minimal impact on the stability and robustness of a schedule, is the main idea of the reactive scheduling method proposed. The first objective of the paper is to present a hybrid multi-objective immune algorithm (H-MOIA) aided by heuristics: a minimal impact of disrupted operation on the schedule (MIDOS) for predictive scheduling and a minimal impact of rescheduled operation on the schedule (MIROS) for reactive scheduling. The second objective is to compare the H-MOIA with various methods for predictive and reactive scheduling. The H-MOIA + MIDOS is compared to two algorithms, identified in reference publications: (1) an algorithm based on priority rules: the least flexible job first (LFJ) and the longest processing time (LPT) (2) an Average Slack Method. The H-MOIA + MIROS is compared to: (1) an algorithm based on priority rules: the LFJ and LPT and (2) Reduction. This paper presents the research results and computer simulations.

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“…The examples of using normal, exponential, triangular distributions to describe both failure and repair times are described in [4]. In the article [5], it is assumed that parameters of distributions describing failure-free times, in general, change with time. Basing on information about the number of failures and failure-free times in a number of periods of the same duration in the past, some methods of estimation unknown parameters for scheduling purpose can be proposed [6].…”

Section: A Availability and Failuresmentioning

confidence: 99%

“…(5) In the case of repairable objects the parameters MTBF (mean time between failures), and the MTTR (mean time to repair) are used.…”

Section: A Availability and Failuresmentioning

confidence: 99%

Simulation model of robotic manufacturing line

Gołda

Kampa

Paprocka

2016

Annals of Computer Science and Information Systems

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Abstract-The problem of production flow in the manufacturing line is analyzed. The machines can be operated by workers or by robots. Since breakdowns and human factors affect the destabilization of the production processes, robots are preferred to apply. The problem is how to determine the real difference in work efficiency between human and robot. Analysis of the production efficiency and reliability of the press shop lines operated by human operators or industrial robots are presented. This is a problem from the field of Operation Research area and Discrete Events Simulation (DES) method have been used. Two models have been developed including manufacturing line before and after robotization and taking into account stochastic parameters of availability and reliability of the machines, operators and robots. We apply OEE (Overall Equipment Effectiveness) indicator to present how the availability and reliability parameters influence over performance of the workstation, in particular in the short time and long time period. Also the stability of simulation model was analyzed.

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Estimation of Reliability Characteristics in a Production Scheduling Model with Failures and Time-Changing Parameters Described by Gamma and Exponential Distributions

Cited by 25 publications

References 8 publications

Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems

Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems

A hybrid multi-objective immune algorithm for predictive and reactive scheduling

Simulation model of robotic manufacturing line

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