Performance evaluation of the croissant production line with reparable machines

Tsarouhas, Panagiotis

doi:10.1007/s40092-014-0087-1

Cited by 7 publications

(4 citation statements)

References 44 publications

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“…Guo et al (2008) calculated MTTR from historical data and statistically validated the result. Tsarouhas (2015b) developed analytical probability models for an automated serial production, which consists of n-machines in series. Both failure and repair rates are assumed to follow an exponential distribution.…”

Section: Literature Reviewmentioning

confidence: 99%

Statistical analysis of failure data for estimating reliability, availability and maintainability of an automated croissant production line

Tsarouhas

2019

JQME

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Purpose The purpose of this paper is to compute reliability, availability and maintainability (RAM) indices to measure and improve the performance of an automated croissant production line under real working conditions. Based on this study, the authors demonstrate how RAM analysis is very useful for deciding maintenance intervals and for planning and organizing the adequate maintenance strategy. Design/methodology/approach The present work is carried out by analyzing failure and repair data based on statistical techniques. Descriptive statistics of the failure and repair data at workstation and line level were carried out. Trend and serial correlation tests validated the assumption of independence and identical distribution of the failure data were conducted. Moreover, the reliability and maintainability of both the croissant production line and its workstations have been estimated at different mission times with their best fit distribution. Findings The main objectives of the applied method are to understand the nature of the failure patterns, and to estimate the reliability and maintainability characteristics of the croissant production system in precise quantitative terms. The analysis identifies the critical points of the production line that require further improvement through effective maintenance strategy. Originality/value This study is anticipated to serve as an illuminating effort in conducting a complete RAM analysis and its effect on the performance of the system that works under real conditions. The advantage of the methodology is the continuous monitoring of the production process through appropriate indices, the utilization of which leads to a continuous cycle of improvement.

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Section: Literature Reviewmentioning

confidence: 99%

Statistical analysis of failure data for estimating reliability, availability and maintainability of an automated croissant production line

Tsarouhas

2019

JQME

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“…Aggarwal et al [39] proposed a method which computes RAM indices to monitor and enhance the performance of a skimmed milk powder manufacturing system of a dairy factory subject to an actual working environment. In another study, Tsarouhas [40] developed analytical probability models for an automatic serial manufacturing system, bufferless that is composed of n-machines in series with a usual transfer mechanism and a control system. Failure database coming from the genuine production environment has been used to calculate reliability and maintainability for every machine, workstation, and the complete line is based on analytical models.…”

Section: Introductionmentioning

confidence: 99%

Reliability, Availability, and Maintainability (RAM) Study of an Ice Cream Industry

Tsarouhas

2020

Applied Sciences

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The purpose of this paper is to provide findings for a thorough review of reliability, availability, and maintainability (RAM) analysis utilizing failure data from an ice cream industry. The case study shows how RAM analysis is very helpful in assessing maintenance intervals and in planning and organizing an effective maintenance strategy. RAM study was computed based on historical data gathered over a twelve-month period. Pareto analysis, descriptive statistics, trend, and serial correlation test of the data were conducted. The parameters for failure and repair data were computed for each machine and the complete ice cream manufacturing system. The RAM analysis assesses the current operations management and improves the quality, productivity, and performance of the line. It was found that: (a) preventive maintenance intervals for each machine and completed system for different reliability periods were calculated. (b) Two machines with the lowest reliabilities are the packaging machine and then on the freezer tunnel. The significance of these machines is vital and their maintenance must be thorough to avoid losses pertaining to quality and productivity, and (c) the worst maintainabilities occur at the exogenous machine, and on the ice cream machine, together with the complete production system. Moreover, as the RAM indices have been calculated to quantify and increase machines’ performance, production managers and engineers can easily evaluate the next moves and decisions made with respect to the function of the system.

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“…Faghihinia and Mollaverdi (2012) have been interested to multicriterion decision-aided maintenance models. Analytical models for performance evaluation of the croissant automated production line with reparable machines have been developed in Tsarouhas (2015). Amelian et al (2015) have studied the problem of optimal production and preventive maintenance rate in a failure-prone manufacturing system by using discrete event simulation.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Optimization of single outsourcer–single subcontractor outsourcing relationship under reliability and maintenance constraints

Haoues¹,

Dahane²,

Mouss³

2019

J Ind Eng Int

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In this paper, we focus on outsourcing activities optimization problem in single period setting. In some situations, capacity planning or outsourcing is a one-time event and can be modeled as a single period problem. The aim of this research is to balance the trade-off between two echelons of a supply chain consisting of a single outsourcer and a single subcontractor. Each part is composed of a failure-prone single machine that produces one product type to satisfy market requirements. The outsourcer's manufacturing system is not able to satisfy the demand; in this case, outsourcing is allowed to recover the lack of capacity. We consider that the subcontractor can satisfy the demands of strategic clients and rent his machine for the outsourcer under a win-win partnership contract. We assume that the hazard failure rate depends on time and the adopted manufacture rate. When unforeseen failures occur, minimal repairs are implemented. Overhaul can be performed to reduce the degradation effects. Hence, we develop a mathematical model to define a profitability interval so that both parties of supply chain can be considered as winners. We seek to determine the contract parameters that suit both parties (duration, start and end dates, the production and outsourcing rates). Then, we develop an exact algorithm to solve the problem of single period optimization, which offers a better execution time through a series of test problems. Finally, we consider a sensitivity analysis based on outsourcing parameters (cost, periodicities, etc) to analyze their effects on partial costs and individual profit of each part, as well as the total profit generated by the system.

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Performance evaluation of the croissant production line with reparable machines

Cited by 7 publications

References 44 publications

Statistical analysis of failure data for estimating reliability, availability and maintainability of an automated croissant production line

Statistical analysis of failure data for estimating reliability, availability and maintainability of an automated croissant production line

Reliability, Availability, and Maintainability (RAM) Study of an Ice Cream Industry

Optimization of single outsourcer–single subcontractor outsourcing relationship under reliability and maintenance constraints

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