Integrated control policy of production and preventive maintenance for a deteriorating manufacturing system

Kang, Kaican; Subramaniam, Velusamy

doi:10.1016/j.cie.2018.02.026

Cited by 55 publications

(18 citation statements)

References 32 publications

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“…A proper maintenance management is crucial to keep competitive and profitable companies in all industry sectors. In fact, poorly maintained machines and equipment can lead to random breakdowns, and, consequently, to lower utilization and reduced productivity (Phogat and Gupta, 2017; Kang and Subramaniam, 2018; Metso et al , 2018). Furthermore, the current advanced manufacturing paradigms, such as mass customization, reconfigurable and sustainable manufacturing, etc., call for more “informed” maintenance policies (Xia et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

A novel operational approach to equipment maintenance: TPM and RCM jointly at work

Braglia

Castellano

Gallo

2019

JQME

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Purpose The purpose of this paper is to present a new operational approach to equipment maintenance designed to exploit the complementary nature of total productive maintenance (TPM) and reliability-centered maintenance (RCM). Design/methodology/approach This paper focuses on the operational aspect of the maintenance practice, proposing an equipment maintenance methodology that can be suitably adopted to define a new maintenance plan or check and improve an existing one. It integrates principles and methods of TPM and RCM and uses different tools to support decision-makers and operators. It proposes several worksheets which facilitate planning and implementing maintenance activities, that range from autonomous maintenance tasks to maintainability improvement actions. Findings This paper exploits the complementary nature of TPM and RCM to design or improve maintenance plans for a generic system. The tools and worksheets presented can be helpful to practitioners and operators. Originality/value While the integration of TPM and RCM is evidently a central issue in the maintenance management context, it has received limited attention in literature. To the best of the authors’ knowledge, it lacks a structured practical equipment maintenance methodology that exploits the complementary nature of TPM and RCM. Therefore, the approach presented in this paper would fill the current gap.

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Section: Introductionmentioning

confidence: 99%

A novel operational approach to equipment maintenance: TPM and RCM jointly at work

Braglia

Castellano

Gallo

2019

JQME

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“…In the same sense, integrated production and maintenance control policies were studied in Nourelfath et al, (2016) and Cheng et al, (2016). Kang and Subramaniam, (2018) studied as well integrated policies for deteriorating manufacturing systems. Also, Rivera-Gómezi et al, (2020) studied an optimization problem of integrated production and maintenance control policies while considering a dynamic sampling strategy.…”

Section: Table 1: Summary Of Relevant Literaturementioning

confidence: 99%

Integrated production and maintenance control policies for failure-prone manufacturing systems producing perishable products

Kaddachi

Gharbi

Kenné

2022

Int J Adv Manuf Technol

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The problem of integrated production and maintenance control of unreliable manufacturing systems evolving in a stochastic and dynamic environment is studied in this paper.The considered system is subject to degradation and the produced products are perishable with random shelf-lives. The literature of operations management for perishable products reports a correlation between the shelf-life of the product and the machine degradation. In fact, the latter results in shelf-lives reduction. Ignoring this correlation effect may result in inaccurate values of the shelf-lives and inefficient control policies. The objective of this paper is to develop a joint production and maintenance control policy that minimizes the total cost composed of backlog, inventory holding, disposal and maintenance costs. The proposed parametrized joint control policy combines a multi hedging point policy and an age-based preventive maintenance policy. The optimization of the parameters of the proposed joint control policy is obtained using a simulation-based optimization approach and sensitivity analyses are provided to confirm its robustness. The obtained results show that the correlation between machine degradation and shelf-life reduction has a major influence on the control parameters and that preventive maintenance interventions can lead to increasing the shelf-life of products and minimizing the total cost. The proposed joint control policy is then compared to three other polices for a wide range of system and cost data. The obtained results show that the proposed joint control policy outperforms the other polices in terms of total incurred costs.

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“…The objective was to determine the machine maintenance plan and also the amount to produce simultaneously so that the sum of expected production, backorder, and holding costs were minimized. In [18,19] a semi-Markov decision process model for a single-stage production system with multiple products and multiple maintenance actions was presented. In [2,20,21], other factors such as the backlog cost added to previous factors to run the optimization model for threshold.…”

Section: Introductionmentioning

confidence: 99%

Demand-driven condition-based maintenance planning under Markovian deterioration of machine condition

2021

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In this paper, single product single machine systems under Markovian deterioration of machine condition throughout a specified finite planning horizon are studied. It is assumed that the machine is subject to random failures and that any maintenance activities carried out in a period, reduces the system's potential production capacity during that period. Furthermore, it is assumed that the machine is minimally repaired at failure, and PM is carried out, after inspection, to restore the machine to an 'as-good-as-new' status. The objective of the study is to find the optimal intervals for inspection and preventive maintenance (PM) activities in condition-based maintenance (CBM) planning with a discrete monitoring framework subject to minimize the sum of inspection, PM, minimal repair, and backlog costs. To achieve the goal, a stochastic dynamic programming model that enumerates demand is presented calling the demand-driven CBM model. The numerical results show that this model decreases the total cost significantly that depends on the demand and the unit backlog cost, which is an increasing and a concave function in the unit backlog cost regardless of the initial machine state.

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Integrated control policy of production and preventive maintenance for a deteriorating manufacturing system

Cited by 55 publications

References 32 publications

A novel operational approach to equipment maintenance: TPM and RCM jointly at work

A novel operational approach to equipment maintenance: TPM and RCM jointly at work

Integrated production and maintenance control policies for failure-prone manufacturing systems producing perishable products

Demand-driven condition-based maintenance planning under Markovian deterioration of machine condition

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