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Dec 18, 2017 to support the joint maintenance and production planning considering the system configuration optimization as well.
Maintenance and spare parts management are interrelated and the literature shows the significance of optimizing them jointly. Simulation is an efficient tool in modeling such a complex and stochastic problem. In this paper, we optimize preventive maintenance and spare provision policy under continuous review in a non-identical multi-component manufacturing system through a combined discrete.
Inventory of period with level is created, which during maintenance operations, stochastic demand will be provided.
Aug 29, 2018 maintenance, repair and overhaul (mro) highly qualified manufacturing activities are offered with strong competition in the current global.
Joint optimization of operation and maintenance policies for solar-powered microgrids abstract: in a solar-powered microgrid (mg), the optimal maintenance strategy is influenced by the downtime cost of the photovoltaic (pv) system, which in turn depends on the operation pv within the mg network.
Sep 30, 2020 the objective is to minimize maximum completion time and maintenance costs. The weighted-sum method is adopted to joint these two objectives.
Preventive maintenance policy, when the system's inventory is managed according to an (s, s) policy.
This paper addresses the maintenance optimization problem in a multi-component system, carrying out several missions interspersed with scheduled finite breaks. Due to limited time, budget, or resources, maintenance actions can be only carried out on a limited set of components.
Lahcen mifdal, zied hajej, sofiene dellagi, joint optimization approach of maintenance and production planning for a multiple-product manufacturing system,.
Joint optimization approach of maintenance and production planning for a multiple-product manufacturing system.
Under the background of the wide application of condition-based maintenance ( cbm) in maintenance practice, the joint optimization of maintenance and spare.
Jan 8, 2018 joint optimization of service scheduling and train routing at a maintenance depot.
T1 - joint optimization of condition-based maintenance and production lot-sizing. N2 - due to the development of sensor technologies nowadays, condition-based maintenance (cbm) programs can be established and optimized based on the data collected through condition monitoring.
Joint optimization of maintenance and inventory policies for a simple system.
Christophe and grall, antoine joint optimization of monitoring quality and replacement decisions in condition-based maintenance.
Joint optimization of pavement design, resurfacing and maintenance strategies with history-dependent deterioration models by samer madanat a bottom-up solution for the multi-facility optimal pavement resurfacing problem.
This article considers a series manufacturing line composed of several machines separated by intermediate buffers of finite capacity. The goal is to find the optimal number of preventive maintenance actions performed on each machine, the optimal selection of machines and the optimal buffer allocation plan that minimize the total system cost, while providing the desired system throughput level.
Highlights an optimization model for joint planning of pavement maintenance and resurfacing. Analytical optimality conditions are derived to design an effective solution algorithm. Two realistic application scenarios are examined using numerical examples. Results demonstrate clear cost and effectiveness trade-offs between maintenance and resurfacing.
Jul 26, 2018 this work presents a methodology for simultaneous design and maintenance optimization which objective's the minimization of the life cycle cost.
Joint optimization of process control and maintenance george tagaras department of decision sciences, the wharton school, university of pennsylvania, usa statistical process control and preventive maintenance have been treated separately by past research.
Keizer, teunter, and veldman (2017) is the most recent study on joint condition-based maintenance and inventory optimization for systems with multiple components, in which a discrete-time system consisting of n components is considered and a markov decision process is formulated.
Joint optimization of maintenance and production policies (focus series) [rezg, nidhal, dellagi, sofien, khatad, abdelhakim] on amazon. Joint optimization of maintenance and production policies (focus series).
This paper presents an approach for the joint optimization of maintenance and improvements of the components of a network of infrastructure facilities. In the literature, these two problems have often been handled separately, probably because the problems seem quite different.
The joint optimization of condition-based opportunistic maintenance and (0,1)-type spare part inventory policy is investigated for a two-component system.
Joint optimization of spare parts ordering and maintenance policies for multiple identical items subject to silent failures. European journal of operational research 235 (1), 300–314.
In this work, we show that the typical optimizations (high inlet water temperature and aggressive server consolidation) which reduce only electricity cost could hurt the maintenance costs. Cool waterto minimize the electricity cost and the maintenance cost, we develop a joint optimization scheme based on dynamic.
Nguyen, thi phuong khanh and do, phuc and huynh, khac tuan and bérenguer, christophe and grall, antoine joint optimization of monitoring quality and replacement decisions in condition-based maintenance.
To overcome the problem, we use taguchi loss function to depict the influence of different process shift on quality cost, and consider the joint optimization design.
Joint optimization of maintenance planning and workforce routing for a geographically distributed networked infrastructure.
In maintenance system, the increasing complexity of the manufacturing system and the joint optimization of maintenance is catching the attention of researches. Therefore, the aim of the paper is to review the literatures on joint optimization of maintenance with other interrelated functions in the manufacturing system. The classification is made based on the type of decision variables, which.
This book presents the recent work regarding the different approaches developed in the framework of the joint optimization of intelligent maintenance and production strategies.
Joint optimization of preventive maintenance and flexible flowshop sequence-dependent group scheduling considering multiple setups.
This book presents the recent work regarding the different approaches developed in the framework of the joint optimization of intelligent maintenance and production strategies. The originality of these strategies is that they take various constraints into account, including production management, subcontracting environmental degradation, inspection and product quality.
Study integrated optimization problem of maintenance costs and total completion time under exible shop scheduling; the corresponding joint optimization model is established; a double-coded genetic algorithm is designed to solve this problem. Finally, a simulation experiment is conducted by a setofdata.
This paper presents an approach for the joint optimization of maintenance and improvements of the components of a network of infrastructure facilities such as highway pavements or bridges. In state-of-the-art infrastructure management systems such as pontis (fhwa 1993) and bridgit (net 1994), these two problems have usually been handled separately.
Timization of maintenance and spare parts policies do not lead to global minimum costs. Similarly, the work of sarker and haque (2000) and bruzzone and bocca (2012) confirm this finding. (2012) review the literature on joint maintenance and optimization systems.
A commonly used way is dealing with maintenance planning first and then train scheduling, or vice versa. In this paper, we propose a joint optimization model for the two problems in a railway network with double-track, where the upstream and downstream trains are independent and a maintenance task on a section cannot be split or disrupted.
In this section we develop an integrated cost model for joint optimization of optimal preventive maintenance interval and design parameters of control chart.
Maintenance optimization approaches allow only determining a minimum maintenance cost. In this work, design optimization refers to the optimization of reliability and maintainability characteristics.
To estimate the production line throughput, a decomposition method is used. The decision variables in the formulated optimal design problem are buffer levels, types of machines and times between preventive maintenance actions. Three heuristic approaches are developed to solve the formulated combinatorial optimization problem.
This book presents the recent work regarding the different approaches developed in the framework of the joint optimization of intelligent maintenance and production strategies. The originality of these strategies is that they take various constraints into account, including production management, subcontracting environmental degradation.
Oct 30, 2018 the number of machines to be leased, the quantity to produce by each one and customer demand are variable.
Apr 14, 2014 this book presents the recent work regarding the different approaches developed in the framework of the joint optimization of intelligent.
Abstract maintenance planning and production scheduling are two activities that are inter-dependent but most often performed independently in manufacturing.
Title: joint optimization of preventive maintenance and spare parts inventory with appointment policy.
The objective of the joint optimization is to minimize the total cost by determining the assignment of batches on machines and the time to perform maintenance actions. The total cost is composed of the tardiness cost, om cost and expected minimal repair cost. The tardiness cost of a batch is related to its completion time on machines.
Joint optimization of inspection, maintenance, and inventory for repairable systems.
We formulate and analyze the joint optimization of sampling and maintenance decision-making in the partially observable.
Inventory optimization attempts to find the distribution of inventory that best meets specified cost and availability goals. When equipment availability is considered, most reported work treats the impact of preventive maintenance (pm) and corrective maintenance (cm) on the production system as a given cost corresponding to the loss resulting from unmet demand.
Joint optimization of lora and spares stocks considering corrective maintenance time abstract: level of repair analysis (lora) is an important method of maintenance decision for establishing systems of operation and maintenance in the equipment development period.
The developed optimization models find the optimal inspection interval and decide whether a failed component should be minimally repaired or replaced. The paper joint maintenance and inspection optimization of a k-out-of-n system, written based on this work received the best paper award of the 2016 american society for quality (asq.
Joint optimization of maintenance strategies and inventory control – using the simulation approach.
(2004) joint optimization of preventive maintenance and inventory control in a production line using simulation.
Order a joint optimization of maintenance and production policies today from whsmith.
This aspect also distinguishes our model from most previous joint epq and cbm models where only preventive replacement and corrective replacement were.
The problem of joint optimization of preventive maintenance and spare parts inventory was solved in this paper. The novelty of this study lies with the fact that the developed method could tackle not only the artificial test case but also a real-world industrial problem. Various investigators developed several methods and semi-analytical tools for obtaining optimum solutions for this problem.
Moreover, a penalty function to maintenance (delay or advance) is proposed. Finally, the experimental analysis demonstrates the effectiveness and efficiency of this pre-distributed nsga-ii optimization approach, which could help solve the joint decision-making problem of production scheduling and preventive maintenance for parallel machines system.
Joint optimization has been a long-standing problem in the operations research and maintenance optimization literature, and very few results regarding the structure of the optimal sampling and maintenance policy have been published.
The second-stage variables, involving a recourse function, are the preventive maintenance plan, which defines optimal maintenance times for planned replacement of components under distinct usage scenarios. The model is then extended to a four-stage optimization model to accommodate sequences of decisions over time with random future usage.
Joint optimization of maintenance, buffers and machines in manufacturing lines the goal is to find the optimal number of preventive maintenance actions.
The chapter defines a simple maintenance policy (smp), which is considered a reference, and then two additional maintenance policies, namely, the improved maintenance policy (imp) and the production maintenance policy (pmp).
Joint optimization service and maintenance policies under environmental constraints. About the authors nidhal rezg is professor at the university of lorraine, france, and has been director of the “génie de industriel, de production et de maintenance” (lgipm) laboratory in metz since 2006.
Joint optimization of pavement maintenance and resurfacing planning. This paper presents an analytical approach for joint planning of pavement maintenance and resurfacing activities that minimizes pavement lifecycle costs, including user, maintenance and resurfacing costs, for an infinite time horizon.
Joint optimization of maintenance time and carrying spare parts for k-out-of-n system.
Joint optimization of production and maintenance using monte carlo method and metaheuristic algorithms xiao-zhi ma 1 and wen-yuan lv 1 1 department of industrial engineering, business school, university of shanghai for science and technology, shanghai 200093, china.
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