Article
Engineering, Industrial
Daniel Y. Mo, Yue Wang, Danny C. K. Ho, K. H. Leung
Summary: Service parts management is crucial for generating high profits, but faces challenges. Redeploying excess inventories can reduce costs and improve efficiency.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Management
Nathalie Vanvuchelen, Kim De Boeck, Robert N. Boute
Summary: This study investigates how transshipment can improve service levels, equity, and inventory levels in Zambia's public pharmaceutical supply chain. The researchers use advanced deep reinforcement learning and heuristics to develop transshipment policies and compare their performance in resource-constrained and sufficient inventory scenarios. The findings provide policy insights for decision-makers in humanitarian health contexts.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Cerag Pince, Laura Turrini, Joern Meissner
Summary: Forecasting spare parts demand has been a challenging issue for many companies, and has received considerable attention over the past fifty years. This paper provides a critical review and quantitative analysis of current literature on spare parts demand forecasting methods, offering detailed insights into when and why particular forecasting methods should be preferred.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Computer Science, Hardware & Architecture
Bin Yan, Yifan Zhou, Mofan Zhang, Zhaojun Li
Summary: In a multiechelon inventory system, the curse of dimensionality is inevitable due to the exponential increase in state space. This article addresses this issue by decomposing transition probabilities and considering a more practical situation where the lead time is less than the review period. It also provides a case study on spare part inventory for wind turbines, obtaining nondominated inventory strategies to balance costs for the manufacturer and owners.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
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)
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
Mathematics
Ernesto Armando Pacheco-Velazquez, Manuel Robles-Cardenas, Saul Juarez Ordonez, Abelardo Ernesto Damy Solis, Leopoldo Eduardo Cardenas-Barron
Summary: This article presents a heuristic method to determine the optimal inventory level for spare parts, aiming to minimize total costs. The research offers a valuable decision-making framework based on two parameters, providing a quick and reliable estimation for practitioners.
Article
Engineering, Industrial
Douniel Lamghari-Idrissi, Rob Basten, Geert-Jan van Houtum
Summary: This study investigates spare parts service contracts for capital goods and introduces a flexible-time contract as a solution, proving its advantages through simulation and a Markov decision process.
Article
Management
Melvin Drent, Joachim Arts
Summary: The study explores dual sourcing in a distribution network and proposes optimization solutions using queuing theory and a greedy heuristic method, achieving effective inventory management and reduced stock investments. With dynamic repair policies, expedited repairs can significantly improve the utilization of repairable spare parts and reduce stock investments.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2021)
Article
Engineering, Manufacturing
Christiane B. Haubitz, Ulrich W. Thonemann
Summary: Inventory optimization approaches often focus on steady-state performance and may overlook the transition from an initial state to the optimized state. This study addresses the issue by proposing a phased approach to changing base stock levels in order to avoid undesirable effects. By modeling the inventory transition as a finite-horizon optimization problem and applying specific methods, it is possible to control the transition process effectively and improve fill rates without exceeding the initial inventory budget.
PRODUCTION AND OPERATIONS MANAGEMENT
(2021)
Article
Engineering, Industrial
M. Z. Babai, H. Chen, A. A. Syntetos, D. Lengu
Summary: This paper proposes a new Bayesian method based on compound Poisson distributions, which outperforms the traditional Poisson-based Bayesian method, especially in cases of high demand variability. Additionally, the non-parametric method shows improved performance for longer lead-times and higher demand variability compared to the parametric one.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Mustafa Hekimoglu, A. Gurhan Kok, Mustafa Sahin
Summary: This study develops an advanced stockout risk estimation system for repairable spare parts, using statistical data to estimate future stockout risks, and proposes a repairable inventory control system including repair expediting, inspection, and condemnation processes. The suggested method outperforms heuristic approaches in empirical tests, achieving high accuracy rates and suggesting savings of up to 8%.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Management
Leandro Reis Muniz, Samuel Vieira Conceicao, Lasara Fabricia Rodrigues, Joao Flavio de Freitas Almeida, Tassia Bolotari Affonso
Summary: This paper presents a new hybrid approach based on criticality analysis and optimization for spare parts inventory management in the mining industry. The study combines qualitative and quantitative methods to obtain the spare parts to be stocked, achieving an increase in criticality and number of items stocked compared to historical data. The proposed approach provides systematic tools for analyzing the trade-off between spare parts criticality and total inventory value.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2021)
Article
Engineering, Industrial
Chaaben Kouki, Christian Larsen
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)
Article
Management
Yue Zhang, Bram Westerweel, Rob Basten, Jing-Sheng Song
Summary: This study examines how an original equipment manufacturer (OEM) can digitize the spare parts supply chain using 3D printing and intellectual property (IP) licensing. The results show that IP licensing can drive production decentralization in the supply chain, leading to increased profits for the OEM.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Review
Computer Science, Interdisciplinary Applications
S. W. A. Haneyah, J. M. J. Schutten, P. C. Schuur, W. H. M. Zijm
COMPUTERS IN INDUSTRY
(2013)
Article
Computer Science, Interdisciplinary Applications
S. W. A. Haneyah, P. C. Schuur, J. M. J. Schutten, W. H. M. Zijm
COMPUTERS IN INDUSTRY
(2013)
Article
Engineering, Industrial
A. L. Kok, E. W. Hans, J. M. J. Schutten, W. H. M. Zijm
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2010)
Article
Engineering, Industrial
Zeynep Muege Avsar, W. Henk Zijm, Umut Rodoplu
Article
Engineering, Industrial
E. M. Alvarez, M. C. van der Heijden, W. H. M. Zijm
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2013)
Article
Engineering, Industrial
G. Meng, S. S. Heragu, H. Zijm
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2009)
Article
Computer Science, Interdisciplinary Applications
A. Oblakova, A. Al Hanbali, R. J. Boucherie, J. C. W. van Ommeren, W. H. M. Zijm
Article
Operations Research & Management Science
W. J. A. van Heeswijk, M. R. K. Mes, J. M. J. Schutten, W. H. M. Zijm
TRANSPORTATION SCIENCE
(2020)
Article
Operations Research & Management Science
Henk Zijm, Judith Timmer
ANNALS OF OPERATIONS RESEARCH
(2008)
Article
Operations Research & Management Science
L Spanjers, JCW van Ommeren, WHM Zijm
Article
Engineering, Industrial
G Meng, SS Heragu, H Zijm
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2004)
Article
Engineering, Industrial
WH Zijm, ZM Avsar
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2003)
Article
Computer Science, Interdisciplinary Applications
MMT Giebels, HJJ Kals, WHM Zijm
COMPUTERS IN INDUSTRY
(2001)
Article
Operations Research & Management Science
GJ van Houtum, IJBF Adan, J Wessels, WHM Zijm
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)
