☆ 4.7 Article

Joint scheduling of spare parts production and service engineers based on progressive Pareto algorithm

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Engineering, Industrial

Optimization of after-sales services with spare parts consumption and repairman travel

Mingyao Sun et al.

Summary: This paper studies the optimization of discretionary after-sales services, considering the effects of spare parts consumption and repairman travel on service quality. The study finds that the service provider's decision on spare parts consumption may contradict profit maximization, and the impact of repairman travel time on optimal service time varies depending on the presence of a maximum sojourn time constraint.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2022)

添加到收藏夹

Article Engineering, Industrial

Workforce training and operations planning for maintenance centres under demand uncertainty

Shayan Tavakoli Kafiabad et al.

Summary: This study proposes a two-stage stochastic programming model to optimize repair quantity, spare part inventory, and the number of operators to reduce maintenance and late delivery costs. Outsourcing and borrowing strategies are adopted as corrective measures to mitigate the impact of demand uncertainty.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2022)

添加到收藏夹

Article Engineering, Industrial

Integrated scheduling of distributed service resources for complex equipment considering multiple on-site MRO tasks

Xingdong Zhao et al.

Summary: This study proposes an integrated scheduling model for on-site MRO, considering different service processes, teams, and resources, decomposing the MRO service process into multiple subtasks. Experimental results show that the new algorithm can efficiently obtain high-quality scheduling solutions.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Parallel service mode of production and inventory for spare part inventory optimization

Like Zhang et al.

Summary: Previous studies on inventory adopt a serial supply mode, while this study proposes a parallel service mode to optimize inventory. By introducing virtual warehouses with infinite spare parts, the inventory optimization problem is transformed into a scheduling problem, and an evolutionary algorithm is used to obtain the optimal solution. Experimental results demonstrate the effectiveness of the proposed algorithm and verify the superiority of the parallel service mode.

KNOWLEDGE-BASED SYSTEMS (2022)

添加到收藏夹

Article Engineering, Industrial

A Joint Optimization of Strategic Workforce Planning and Preventive Maintenance Scheduling: A Simulation-Optimization Approach

Amany M. Akl et al.

Summary: This paper proposes a Simulation-Optimization framework for modeling and optimizing maintenance systems. By integrating various aspects of the maintenance system and applying differential evolution algorithm and k-means clustering machine learning method, the framework successfully reduces maintenance costs.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

添加到收藏夹

Article Automation & Control Systems

Technician Collaboration and Routing Optimization in Global Maintenance Scheduling for Multi-Center Service Networks

Guojin Si et al.

Summary: This paper proposes a transportation-oriented cross-regional opportunistic maintenance (TCOM) policy to address the optimization and real-time planning requirements of multi-center service networks. The TCOM policy integrates maintenance timing, technician team arrangement, and service routing, while considering the collaboration of technician teams from different maintenance centers. Numerical examples demonstrate significant cost-saving in cross-regional maintenance grouping and multi-location routing optimization for OEMs.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2022)

添加到收藏夹

Article Engineering, Industrial

Collaborative scheduling of spare parts production and service workers driven by distributed maintenance demand

Bingxin Miao et al.

Summary: This study analyzes the joint scheduling of spare parts production and service workers driven by distributed maintenance demand. By integrating spare parts production and worker allocation, the study aims to optimize customer satisfaction and total service cost. A modified algorithm is proposed to solve the problem, and extensive experiments demonstrate its superiority.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

添加到收藏夹

Article Engineering, Industrial

Service-oriented global optimization integrating maintenance grouping and technician routing for multi-location multi-unit production systems

Guojin Si et al.

Summary: This article presents a comprehensive strategy for solving the maintenance grouping and technician routing problem of multi-location multi-unit production systems in service-oriented manufacturing. It integrates real-time machine degradation, failure rate estimation, and time-varying maintenance cost function to provide a dynamic preventive maintenance scheme. The effectiveness of the proposed strategy is illustrated through numerical examples, offering insights for lessor's daily management.

IISE TRANSACTIONS (2022)

添加到收藏夹

Article Engineering, Industrial

A multi-skilled workforce optimisation in maintenance logistics networks by multi-thread simulated annealing algorithms

Hasan Huseyin Turan et al.

Summary: The study focuses on establishing a resilient maintenance service network for high-value assets by optimizing workforce capacity and achieving workforce heterogeneity through cross-training, leading to improved efficiency of the maintenance network.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)

添加到收藏夹

Article Management

Joint optimization of condition-based maintenance and inventory control for a k-out-of-n:F system of multi-state degrading components

Jun Wang et al.

Summary: This paper explores the joint optimization of periodic condition-based replacement of degrading components and inventory control for a system with multiple components. By modeling maintenance and inventory policy using the number of components in each discretized degradation state, the solution space is significantly reduced. The optimization is addressed using Markov decision process along with dynamic programming, with analysis on the algorithm complexity.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

添加到收藏夹

Article Engineering, Industrial

Rationing policies in a spare parts inventory system with customers differentiation

Chaaben Kouki et al.

Summary: The study focuses on a spare parts inventory system controlled by a base-stock policy, investigating two rationing policies for critically low inventory levels: reservation policy and threshold policy. Results show that in some cases, the threshold policy outperforms the reservation policy, while in other cases, the difference between the two is minimal.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)

添加到收藏夹

Article Engineering, Industrial

Maintenance policies with minimal repair and replacement on failures: analysis and comparison

Mohamed Larbi Rebaiaia et al.

Summary: This paper proposes a method to compare three maintenance strategies and find the most efficient replacement policy to reduce maintenance costs, with a sensitivity analysis confirming the optimal performance of the third strategy.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)

添加到收藏夹

Article Engineering, Industrial

Maintenance costs and makespan minimization for assembly permutation flow shop scheduling by considering preventive and corrective maintenance

Zikai Zhang et al.

Summary: This study addresses the biobjective joint optimization of preventive maintenance and corrective maintenance costs in assembly permutation flow shop scheduling, proposing a new MILP model and RIPG algorithm to solve the problem. Experimental results demonstrate the superiority of the RIPG algorithm over four well-known multi-objective metaheuristics.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

添加到收藏夹

Article Management

Bi-objective parallel machine scheduling with additional resources during setups

Juan C. Yepes-Borrero et al.

Summary: A bi-objective parallel machine scheduling problem is addressed in this study, considering setup times, limited resources, and using an algorithm based on iterated greedy approaches to search for the optimal solution. Experimental results show that the proposed method outperforms other tested procedures.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

添加到收藏夹

Article Engineering, Industrial

Intermittent demand forecasting for spare parts in the heavy-duty vehicle industry: a support vector machine model

Peng Jiang et al.

Summary: In the heavy-duty vehicle industry, intermittent demand for spare parts is common and poses challenges to demand forecasting by conventional models. Research shows that an adaptive univariate SVM model has a significant advantage in computation time over other models and can effectively predict intermittent demand.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A scheduling optimization method for maintenance, repair and operations service resources of complex products

Hao Li et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

添加到收藏夹

Article Engineering, Industrial

A new unrelated parallel machine scheduling problem with tool changes to minimise the total energy consumption

Like Zhang et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Optimal production and maintenance scheduling for a multiproduct batch plant considering degradation

Ouyang Wu et al.

COMPUTERS & CHEMICAL ENGINEERING (2020)

添加到收藏夹

Article Engineering, Industrial

Integrated planning of operations and on-job training in maintenance logistics networks

Shayan Tavakoli Kafiabad et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An effective iterated greedy method for the distributed permutation fl owshop scheduling problem with sequence-dependent setup times

Jiang-Ping Huang et al.

SWARM AND EVOLUTIONARY COMPUTATION (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An effective Iterated Greedy algorithm for the distributed permutation flowshop scheduling with due windows

Xue-Lei Jing et al.

APPLIED SOFT COMPUTING (2020)

添加到收藏夹

Review Engineering, Industrial

Spare parts demand forecasting: a review on bootstrapping methods

M. Hasni et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

添加到收藏夹

Article Management

A memetic differential evolution algorithm for energy-efficient parallel machine scheduling

Xueqi Wu et al.

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2019)

添加到收藏夹

Article Engineering, Industrial

Optimal joint selective imperfect maintenance and multiple repairpersons assignment strategy for complex multicomponent systems

Claver Diallo et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

添加到收藏夹

Article Engineering, Industrial

Joint optimization of spare parts inventory and service engineers staffing with full backlogging

S. Rahimi-Ghahroodi et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2019)

添加到收藏夹

Article Engineering, Industrial

Forecasting spare part demand using service maintenance information

Sarah Van der Auweraer et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A distributed permutation flowshop scheduling problem with the customer order constraint

Tao Meng et al.

KNOWLEDGE-BASED SYSTEMS (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

An agent-based approach for resources' joint planning in a multi-echelon inventory system considering lateral transshipment

Zili Wang et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

添加到收藏夹

Article Management

Joint planning of service engineers and spare parts

Andrei Sleptchenko et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An uncertain single machine scheduling problem with periodic maintenance

Jiayu Shen et al.

KNOWLEDGE-BASED SYSTEMS (2018)

添加到收藏夹

Article Management

Carbon-efficient scheduling of flow shops by multi-objective optimization

Jian-Ya Ding et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2016)

添加到收藏夹

Article Engineering, Multidisciplinary

Two fuzzy possibilistic bi-objective zero-one programming models for outsourcing the equipment maintenance problem

Behnam Vahdani et al.

ENGINEERING OPTIMIZATION (2012)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Restarted Iterated Pareto Greedy algorithm for multi-objective flowshop scheduling problems

Gerardo Minella et al.

COMPUTERS & OPERATIONS RESEARCH (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multiobjective immune algorithm with nondominated neighbor-based selection

Maoguo Gong et al.

EVOLUTIONARY COMPUTATION (2008)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.