4.7 Article

Integrated demand forecasting and planning model for repairable spare part: an empirical investigation

Related references

Note: Only part of the references are listed.
Review Management

Inventory-forecasting: Mind the gap

Thanos E. Goltsos et al.

Summary: This article focuses on the interaction and integration between demand forecasting and inventory control in the context of supply chain operations. The existing literature is fragmented and lacks consideration of the computational steps needed to transform forecasts into replenishment decisions. The article introduces a framework for defining different levels of integration and presents a structured review of relevant academic contributions in this area. The article argues for the importance of integration and highlights the complexity of implementation. It also calls for further research and theoretical contributions to expand the empirical knowledge base.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2022)

Article Engineering, Industrial

A decision support system for configuring spare parts supply chains considering different manufacturing technologies

Alessandra Cantini et al.

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)

Article Management

Repairable spare parts provisioning for multiregional expanding fleets of equipment under performance-based contracting *

Xuwei Qin et al.

Summary: This study proposes an adaptive multi-phase basestock policy for managing repairable spare parts provisioning to support performance-based service under multiregional fleet expansions. By considering nonstationary demands and profit-centric model, a greedy algorithm is developed to solve the problem effectively.

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2021)

Article Oceanography

A transfer learning-based convolutional neural network and its novel application in ship spare-parts classification

Ke Yang et al.

Summary: The study classified spare parts using deep convolutional neural networks and transfer learning theory, achieving an average accuracy of 96.36% through a three-phase model. The proposed model demonstrated superb performance with an overall accuracy of 95.87% compared to other neural network learning methods.

OCEAN & COASTAL MANAGEMENT (2021)

Review Management

Intermittent demand forecasting for spare parts: A Critical review

Cerag Pince et al.

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

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)

Article Engineering, Industrial

Modelling and solving spare parts supply chain network design problems

Francisco J. Tapia-Ubeda et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)

Article Green & Sustainable Science & Technology

A green closed loop supply chain design using queuing system for reducing environmental impact and energy consumption

Zahra Mohtashami et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Engineering, Industrial

A new method to forecast intermittent demand in the presence of inventory obsolescence

M. Z. Babai et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2019)

Article Engineering, Industrial

The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems

Thanos E. Goltsos et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

Article Engineering, Industrial

A periodic inventory system of intermittent demand items with fixed lifetimes

Elia Balugani et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

Editorial Material Engineering, Industrial

Towards a circular economy production system: trends and challenges for operations management

Ernesto D. R. Santibanez Gonzalez et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

Article Green & Sustainable Science & Technology

Joint determination of supplier capacity and returner incentives in a closed-loop supply chain

Alex J. Ruiz-Torres et al.

JOURNAL OF CLEANER PRODUCTION (2019)

Proceedings Paper Automation & Control Systems

Demand Forecasting for Irregular Demands in Business Aircraft Spare Parts Supply Chains by using Artificial Intelligence (AI)

K. Nemati Amirkolaii et al.

IFAC PAPERSONLINE (2017)

Article Engineering, Industrial

Another look at estimators for intermittent demand

Fotios Petropoulos et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2016)

Article Management

Improving spare parts inventory control at a repair shop

Willem van Jaarsveld et al.

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2015)

Article Engineering, Industrial

Mean-based error measures for intermittent demand forecasting

Steven Prestwich et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2014)

Article Management

Optimizing reliability and service parts logistics for a time-varying installed base

Tongdan Jin et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2012)

Article Engineering, Industrial

On the demand distributions of spare parts

A. A. Syntetos et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2012)

Article Operations Research & Management Science

A queuing approach for inventory planning with batch ordering in multi-echelon supply chains

Sandeep Jain et al.

CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH (2009)

Article Computer Science, Interdisciplinary Applications

Spare parts inventory control considering stochastic growth of an installed base

Tongdan Jin et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2009)

Article Computer Science, Artificial Intelligence

Time Series Prediction Using Support Vector Machines: A Survey

Nicholas L. Sapankevych et al.

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2009)

Article Engineering, Industrial

Production planning model with simultaneous production of spare parts

P. Cyplik et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2009)

Article Mathematics, Applied

A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts

Zhongsheng Hua et al.

APPLIED MATHEMATICS AND COMPUTATION (2006)

Article Economics

Another look at measures of forecast accuracy

Rob J. Hyndman et al.

INTERNATIONAL JOURNAL OF FORECASTING (2006)

Article Economics

The accuracy of intermittent demand estimates

AA Syntetos et al.

INTERNATIONAL JOURNAL OF FORECASTING (2005)

Article Management

Evaluation of unidirectional lateral transshipments and substitutions in inventory systems

S Axsäter

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2003)

Article Engineering, Industrial

Maintenance spare parts logistics: Special characteristics and strategic choices

J Huiskonen

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2001)