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
Engineering, Industrial
Sarah Van der Auweraer, Sha Zhu, Robert N. Boute
Summary: This paper analyzes the value of different sources of installed base information for spare part demand forecasting and inventory control. The study found that knowing the size of the active installed base is most valuable, especially when the installed base changes over time. Additionally, when using a failure-based prediction model, working with the part age itself is crucial, and logistic regression on machine age can be a valuable alternative when part age information is unavailable.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
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
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
Engineering, Industrial
Ayda Amniattalab, J. B. G. Frenk, Mustafa Hekimoglu
Summary: This study develops a stochastic model that integrates the installed base, spare parts demand, and the number of discarded products into a single framework. The findings indicate that the volume of aftersales services increases as the expected usage time and failure rate of the products increase. Additionally, there is a 20 percent shift in the time at which the expected installed base is maximal when the expected usage time is tripled. The intensity of the sales process also has a boosting effect on this point in time.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Mathematics
Jae-Dong Kim, Tae-Hyeong Kim, Sung Won Han
Summary: An advanced model was developed to accurately forecast the demand for spare parts in military logistics. The results showed that selecting suitable methods could enhance the performance of forecasting models in this domain.
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
Engineering, Industrial
Peng Jiang, Yibin Huang, Xiao Liu
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)
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)
Article
Computer Science, Artificial Intelligence
D. Rohaan, E. Topan, C. G. M. Groothuis-Oudshoorn
Summary: This study introduces a method to utilize RFQ data for B2B sales forecasting, showing significant improvement in efficiency and accuracy in a real-world case study. By incorporating artificial intelligence, it provides detailed guidance on how to enhance sales forecasting and highlights potential challenges along the way.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Industrial
Hulya Gucdemir, Gokcecicek Tasoglu
Summary: The timely and cost-effective supply of spare parts is crucial for the high-tech industries. This paper presents a novel spare parts inventory control model that considers part transformation-based substitution, and determines near-optimal inventory levels through simulated annealing based simulation optimization. Computational analyses demonstrate the usefulness of transforming spare parts for companies facing long production lead times and high penalty costs.
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
(2024)
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
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
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
Judith Mulder, Rommert Dekker
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2019)
Article
Operations Research & Management Science
I. Mallidis, S. Despoudi, R. Dekker, E. Iakovou, D. Vlachos
ANNALS OF OPERATIONS RESEARCH
(2020)
Review
Management
E. Topan, A. S. Eruguz, W. Ma, M. C. van der Heijden, R. Dekker
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Engineering, Industrial
Sha Zhu, Willem van Jaarsveld, Rommert Dekker
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
Green & Sustainable Science & Technology
Anastasia Roukouni, Heide Lukosch, Alexander Verbraeck, Rob Zuidwijk
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
Computer Science, Interdisciplinary Applications
K. A. Chatha, M. N. Jalil
Summary: This paper investigates the combined impact of supply chain structural complexity and operational complexity on the operational performance of manufacturing firms. Using Shannon's information entropy theory and agent-based modeling, the study finds that increasing the number of customers reduces capacity utilization and demand fulfillment, while increasing the number of suppliers improves these performance metrics. Additionally, increasing operational complexity reduces the overall operational performance of the firm.
COMPUTERS & INDUSTRIAL ENGINEERING
(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
Economics
Syed Tariq, Muhammad Adeel Zaffar, Yasir Riaz, Muhammad Naiman Jalil
Summary: This study investigates the impact of revenue composition on the financial health of emergency health and humanitarian nonprofits, as well as the impact of financial health on the likelihood of financial distress. The findings suggest that revenue diversification adversely affects the financial health of these nonprofits. Furthermore, financial health persists due to the significant positive effect of lags in most cases.
JOURNAL OF ECONOMIC AND ADMINISTRATIVE SCIENCES
(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)
Article
Management
Muhammad Naiman Jalil, Rania Sohail, Areeb Javaid, Ali Jan Khan
ASIAN JOURNAL OF MANAGEMENT CASES
(2020)
Article
Engineering, Industrial
Hiroshi Matsuhisa, Nobuo Matsubayashi
Summary: This study investigates the formation of an alliance between competing manufacturers and a monopolistic platform retailer, and analyzes the impact of the degree of differentiation among manufacturers on the formation of the alliance and the profitability of the retailer.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Lingxuan Kong, Ge Zheng, Alexandra Brintrup
Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu
Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yu Du, Jun-qing Li
Summary: This study investigates the group scheduling of a distributed flexible job shop problem using the concrete precast process. The proposed solution utilizes three coordinated double deep Q-networks (DQN) as a learn-to-improve reinforcement learning approach. The algorithm shows superiority in minimizing costs and energy consumption.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Xiaoyu Yan, Weihua Liu, Ou Tang, Jiahe Hou
Summary: This study analyzes the market amplification effect and the impact of entrant's overconfidence on a two-sided platform. The results show that overconfident entrants can lead to price increases and benefit both the existing firms and themselves to a certain extent.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Illya Kaynov, Marijn van Knippenberg, Vlado Menkovski, Albert van Breemen, Willem van Jaarsveld
Summary: The One-Warehouse Multi-Retailer (OWMR) system is a typical distribution and inventory system. Previous research has focused on heuristic reordering and allocation strategies, which are time-consuming and problem-specific. This paper proposes a Deep Reinforcement Learning (DRL) algorithm for OWMR problems, which infers a multi-discrete action distribution and improves performance with a random rationing policy.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yimeng Sun, Ruozhen Qiu, Minghe Sun
Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Anas Neumann, Adnene Hajji, Monia Rekik, Robert Pellerin
Summary: This paper presents a new mathematical formulation for planning and scheduling activities of Engineer-To-Order (ETO) projects, along with a new ETO strategy to reduce the impacts of design uncertainty. The study proposes a hybrid Layered Genetic Algorithm combined with an adaptive Lamarckian learning process (LLGA) and compares it with the branch-and-cut procedure of CPLEX. The results show good performance of the proposed mathematical model for small and medium-sized instances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Thilini Ranasinghe, Chanaka D. Senanayake, Eric H. Grosse
Summary: Production systems are undergoing transformative changes, necessitating adaptability from human workers. This study developed an analytical model to account for stochastic processing times and learning heterogeneity, revealing insights into system performance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha
Summary: Black Swan events such as the COVID-19 pandemic and the Suez Canal blockage have a significant impact on firms' technology adoption decisions, especially in terms of disruptions and digitalization in the supply chains. This study investigates the influence of institutional forces and environmental contingencies on supply chain digitalization from an institutional and contingency theory perspective. The findings emphasize the importance of organizational readiness and people readiness, including top management involvement and employee training, in facilitating digitalization.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Fabio Neves-Moreira, Pedro Amorim
Summary: Omnichannel retailers are using stores as distribution centers to provide faster online order fulfillment services. However, in-store picking operations can impact the offline customer experience. To address this, we propose a Dynamic In-store Picker Routing Problem (diPRP) that minimizes customer encounters while fulfilling online orders. Our solution approach combines mathematical programming and reinforcement learning to find efficient picking policies that reduce customer encounters.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Richard Kraude, Ram Narasimhan
Summary: In this study, the relationship between Vertical Integration (VI) and Environmental Performance (EP) is examined, revealing that highly integrated firms produce less waste but engage in fewer environmental initiatives. These findings are crucial for understanding the impact of stakeholder exposure on organizational behavior.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Review
Engineering, Industrial
Korina Katsaliaki, Sameer Kumar, Vasilis Loulos
Summary: This research conducts a systematic literature review (SLR) and content analysis on Supply Chain Coopetition (SCC) through the PRISMA framework. It examines the theory of coopetition and organizational relationships in intra-firm and inter-firm supply chains, focusing on collaboration between rival manufacturers. The study identifies structures and mechanisms of coopetition, such as buyer-supplier coopetition, supply networks coopetition, and production and distribution/logistics coopetition. It provides a holistic approach to SCC management practices and serves as a guide for future research.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
