Article
Management
B. Gerrits, E. Topan, M. C. Van Der Heijden
Summary: This study aims to improve the performance of multi-echelon, closed loop spare part supply chains through operational interventions based on real-time status information. Proactive interventions, including lateral transshipments, emergency shipments, stock reservations, expediting part repairs, and early new buys of parts, are found to have the most impact in reducing costs. Communicating losses in the supply chain for early new buys has a positive impact on fill rates at negligible costs. Expedite repair and stock reservations using the proposed rules are not profitable. The results are based on simulation experiments using data from a global IT company in Germany.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Review
Engineering, Industrial
Alessandra Cantini, Mirco Peron, Filippo De Carlo, Fabio Sgarbossa
Summary: Configuring supply chains is crucial for the success of spare parts retailers. This paper introduces a new methodology called SP-LACE, which reviews the configuration of spare parts supply chains and evaluates their economic benefits. The results indicate that SP-LACE provides economic benefits and ensures high service levels, overcoming the limitations of existing literature methodology.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Xinglu Xu, Mark D. Rodgers, Weihong (Grace) Guo
Summary: This research investigates the impact of adopting 3D printing technologies to manufacture spare parts for maintenance operations on operational efficiency and effectiveness in the era of Industry 4.0. Specifically focusing on the United States Navy's fighter jet maintenance operations, various network configurations and system performance under disruptions were evaluated to obtain managerial insights.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Review
Green & Sustainable Science & Technology
Shuai Zhang, Kai Huang, Yufei Yuan
Summary: The importance of spare parts inventory management is gaining attention, particularly in the pursuit of sustainability. Research in this area is mainly divided into two categories, focusing on spare parts characteristics and research methodologies, and emphasizing supply chain structures and analytical techniques.
Article
Engineering, Industrial
Sha Zhu, Willem van Jaarsveld, Rommert Dekker
Summary: In this study, we propose a spare parts optimization model and algorithm to balance the cost of ordering spare parts and the cost of project delay. Using two-stage stochastic programming, we determine spare parts ordering policies and develop a detailed project schedule. Our sample average approximation method solves large instances quickly.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Computer Science, Interdisciplinary Applications
Ahmad Al Hanbali, Haitham H. Saleh, Omar G. Alsawafy, Ahmed M. Attia, Ahmed M. Ghaithan, Awsan Mohammed
Summary: The upcoming industrial revolution 4.0, based on the internet of things and prescriptive analytics, paves the way for the spread of continuously monitored condition-based maintenance (CBM) in the industry. In CBM implementations, the impact of spare parts quality, lead-time, and inspection errors on maintenance cost and system availability must be considered. A new maintenance model is proposed to incorporate these factors along with different cost factors and optimize the degradation level at which spare parts are ordered.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Alessandra Cantini, Mirco Peron, Filippo De Carlo, Fabio Sgarbossa
Summary: This paper aims to assist managers and practitioners in determining how to design their spare parts supply chains and adopt the appropriate manufacturing technology through the development of a decision support system. The authors propose a user-friendly decision tree that allows comparison of total costs between different levels of centralization and between additive manufacturing and conventional manufacturing for spare parts.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Review
Chemistry, Multidisciplinary
Asma Mecheter, Shaligram Pokharel, Faris Tarlochan
Summary: This paper reviews the application of additive manufacturing technology in spare parts manufacturing, highlighting the supply chain opportunities and challenges. It also discusses the future research directions in this field.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Yan Zhao, Qianwang Deng, Like Zhang, Weifeng Han, Fengyuan Li
Summary: Integrated scheduling of production and distribution is important for cost saving and customer satisfaction. This paper proposes an optimal spare parts production scheduling model in a flowshop environment, with the objective of maximizing equipment operational utility on the customer side and introducing a speed adjustment strategy to guide equipment operation and maintenance.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Asma Mecheter, Shaligram Pokharel, Faris Tarlochan, Fujio Tsumori
Summary: This research proposes an optimization model for the trade-off analysis of spare parts supply through computer numerical control (CNC) manufacturing and additive manufacturing (AM). The model focuses on minimizing lead times and assessing the effectiveness of different manufacturing methods for spare parts with varying complexity. The findings show that AM is cost-effective for spare parts with high geometry complexity, while CNC-based manufacturing is economically feasible for spare parts with low geometry complexity and large sizes.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Computer Science, Information Systems
Yurong Guo, Quan Shi, Chiming Guo
Summary: This article focuses on the joint optimization of spare part management and spare part supply chain network optimization in multiple supply periods. A dynamic nonlinear programming model and an improved self-adaptive dynamic migrating particle swarm optimization algorithm are proposed to minimize the total cost.
Article
Green & Sustainable Science & Technology
Chui-Yu Chiu, Chen-Yang Cheng, Ting-Ying Wu
Summary: The concept of green supply chain has been embraced by companies to reduce resource waste, with government subsidy being identified as a key factor impacting net income more than the recycling rate of used products.
Article
Computer Science, Interdisciplinary Applications
Pieterjan Dendauw, Thomas Goeman, Dieter Claeys, Koen De Turck, Dieter Fiems, Herwig Bruneel
Summary: Condition-based maintenance strategy is proposed to significantly reduce operational costs by implementing preventive maintenance at critical levels, avoiding costly downtimes due to stock-outs. The study establishes a numerical procedure for selecting optimal base-stock and critical level thresholds, showing that the proposed critical level policy can indeed lead to substantial cost savings compared to traditional base-stock policies.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Automation & Control Systems
Filipe Marinho de Brito, Gelson da Cruz Junior, Enzo Morosini Frazzon, Joao Pedro Tavares Vieira Basto, Symone Gomes Soares Alcala
Summary: This article introduces a new method for designing additive manufacturing supply chains using optimization methods to address the challenges brought by new technologies. The approach, which includes p-median and mixed-integer linear programming models, is suitable for making decisions on deploying productive resources in specific locations.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Industrial
James R. Kroes, Andrew S. Manikas, Thomas F. Gattiker, Matthew J. Castel
Summary: The study finds that companies with a Chief Supply Chain Officer (CSCO) in manufacturing firms tend to have shorter cash conversion cycles, lower levels of operational slack, and larger inventory buffers during periods of market instability compared to firms without a CSCO.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Operations Research & Management Science
I. Mallidis, S. Despoudi, R. Dekker, E. Iakovou, D. Vlachos
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Operations Research & Management Science
Judith Mulder, Willem van Jaarsveld, Rommert Dekker
TRANSPORTATION SCIENCE
(2019)
Article
Engineering, Industrial
Sha Zhu, Willem van Jaarsveld, Rommert Dekker
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Engineering, Industrial
Oktay Karabag, Ayse Sena Eruguz, Rob Basten
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Engineering, Industrial
Bart Van Riessen, Judith Mulder, Rudy R. Negenborn, Rommert Dekker
Summary: The cargo fare class mix problem aims to find the optimal fare class mix for a given intermodal transportation network based on known client demands, balancing revenue maximisation and capacity utilisation. The problem involves long-term commitments to customers and the possibility of rescheduling or rerouting cargo.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2021)
Article
Management
Thijs Nicolaas Schouten, Rommert Dekker, Mustafa Hekimoglu, Ayse Sena Eruguz
Summary: This paper introduces a new model for maintenance optimization in offshore wind turbine maintenance, which addresses time-varying costs. The authors extend the standard maintenance policies and prove that the optimal maintenance policy under time-varying costs is a time-dependent strategy. They also present linear programming models for parameter optimization. By applying these models, they demonstrate significant cost savings in maintenance planning.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Sha Zhu, Willem van Jaarsveld, Rommert Dekker
Summary: In this study, we propose a spare parts optimization model and algorithm to balance the cost of ordering spare parts and the cost of project delay. Using two-stage stochastic programming, we determine spare parts ordering policies and develop a detailed project schedule. Our sample average approximation method solves large instances quickly.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Economics
M. Hakan Akyuz, Rommert Dekker, Shadi Sharif Azadeh
Summary: The excessive reliance on long-distance road transportation is not an effective means of reducing the negative environmental impacts of logistics systems. Intermodal transport, which combines different modes of transportation, shows potential for reducing operating costs and carbon footprints. The coordination of scheduled transport services is a challenge in achieving higher adoption of intermodal transport, but the use of reliable and efficient algorithms for replanning shipments can address this issue.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Health Care Sciences & Services
C. C. H. M. Maas, D. M. Kent, M. C. Hughes, R. Dekker, H. F. Lingsma, D. van Klaveren
Summary: This study proposed metrics to assess the calibration and overall performance of models predicting treatment effect in randomized clinical trials (RCTs). By matching untreated patients with the nearest treated patients, observed pairwise treatment effects were defined. Several metrics, such as E-avg-for-benefit and E-50-for-benefit, were proposed by comparing the predicted treatment effects with the observed pairwise treatment effects. These metrics were validated using different modeling approaches on the data of the Diabetes Prevention Program.
BMC MEDICAL RESEARCH METHODOLOGY
(2023)
Article
Engineering, Industrial
Weina Ma, Mustafa Hekimoglu, Rommert Dekker
Summary: Control towers provide real-time information for logistic processes. This study explores how to utilize real-time information to save costs in a company supplying expensive spare parts with limited production capacity. The findings suggest that using real-time information and adopting admission control can lead to significant cost savings.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Maria Mihaela Trusca, Daan Wassenberg, Flavius Frasincar, Rommert Dekker
WEB ENGINEERING, ICWE 2020
(2020)
Review
Management
Vinicius N. Motta, Miguel F. Anjos, Michel Gendreau
Summary: This survey presents a review of optimization approaches for the integration of demand response in power systems planning and highlights important future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Philipp Schulze, Armin Scholl, Rico Walter
Summary: This paper proposes an improved branch-and-bound algorithm, R-SALSA, for solving the simple assembly line balancing problem, which performs well in balancing workloads and providing initial solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Roshan Mahes, Michel Mandjes, Marko Boon, Peter Taylor
Summary: This paper discusses appointment scheduling and presents a phase-type-based approach to handle variations in service times. Numerical experiments with dynamic scheduling demonstrate the benefits of rescheduling.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Oleg S. Pianykh, Sebastian Perez, Chengzhao Richard Zhang
Summary: Efficient scheduling is crucial for optimizing resource allocation and system performance. This study focuses on critical utilization and efficient scheduling in discrete scheduling systems, and compares the results with classical queueing theory.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Hamed Jahani, Babak Abbasi, Jiuh-Biing Sheu, Walid Klibi
Summary: Supply chain network design is a large and growing area of research. This study comprehensively surveys and analyzes articles published from 2008 to 2021 to detect and report financial perspectives in SCND models. The study also identifies research gaps and offers future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Patrick Healy, Nicolas Jozefowiez, Pierre Laroche, Franc Marchetti, Sebastien Martin, Zsuzsanna Roka
Summary: The Connected Max-k-Cut Problem is an extension of the well-known Max-Cut Problem, where the objective is to partition a graph into k connected subgraphs by maximizing the cost of inter-partition edges. The researchers propose a new integer linear program and a branch-and-cut algorithm for this problem, and also use graph isomorphism to structure the instances and facilitate their resolution. Extensive computational experiments show that, if k > 2, their approach outperforms existing algorithms in terms of quality.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Victor J. Espana, Juan Aparicio, Xavier Barber, Miriam Esteve
Summary: This paper introduces a new methodology based on the machine learning technique MARS for estimating production functions that satisfy classical production theory axioms. The new approach overcomes the overfitting problem of DEA through generalized cross-validation and demonstrates better performance in reducing mean squared error and bias compared to DEA and C2NLS methods.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Stefano Nasini, Rabia Nessah
Summary: In this paper, the authors investigate the impact of time flexibility in job scheduling, showing that it can significantly affect operators' ability to solve the problem efficiently. They propose a new methodology based on convex quadratic programming approaches that allows for optimal solutions in large-scale instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin
Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu
Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Bjorn Bokelmann, Stefan Lessmann
Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Congzheng Liu, Wenqi Zhu
Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Laszlo Csato
Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Guowei Dou, Tsan-Ming Choi
Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
