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Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition
This paper describes a maintenance scheduling model for digester banks. Digester banks are network-connected assets that lie on the critical path of...
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Mathematical optimization for time series decomposition
Decomposing time series into trend and seasonality components reveals insights used in forecasting and anomaly detection. This study proposes a...
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Decomposition of the growth drivers and its spatial distribution characteristics of responsible innovation: A study of Chinese industrial enterprises
As a panacea for solving the negative externalities of innovation , responsible innovation has attracted widespread attention from all walks of life....
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Decomposition algorithm for the multi-trip single vehicle routing problem with AND-type precedence constraints
This paper addresses a new variant of the multi-trip single vehicle routing problem where the nodes are related to each other through AND-type...
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A decomposition heuristic for rotational workforce scheduling
In rotational workforce planning, a schedule is constructed from a sequence of work and rest periods. Each employee starts at a different part of the...
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Addressing complex seasonal patterns in hotel forecasting: a comparative study
Accurately forecasting demand poses challenges for revenue managers, especially amid supply and demand uncertainties increased by the recent global...
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Research on Cement Price Fluctuation Prediction Based on EEMD-ARIMA
In this paper, we analyze cement price fluctuations and predict cement price. Taking the daily price data of ordinary silicate 42.5R (bulk) cement in...
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The Research Development of Construction Carbon Emissions: A Visual Literature Review by Citespace
In order to achieve the goals of “carbon peak” and “ carbon neutrality”, carbon emissions from the construction industry need to be effectively...
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A novel hybrid deep-learning framework for medium-term container throughput forecasting: an application to China’s Guangzhou, Qingdao and Shanghai hub ports
Accurately forecasting container port throughput over the medium-term is crucial for making informed investment decisions by companies. However,...
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Decoupling Effect and Driving Factors Between Transportation Carbon Emission and Transportation Value-Added
Under the constraints of low-carbon development goals, the low-carbon development of transport industry, as a major source of carbon emissions, is...
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Statistical Data Analytics for Decision-Making
The problems included in this section illustrate a close connection of management engineering applications with some methods of advanced statistical...
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Enhancing Benders decomposition algorithm to solve a combat logistics problem
This paper proposes a multi-time period, two-stage stochastic programming model for the design and management of a typical combat logistics problem....
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Change is safer: a dynamic safety stock model for inventory management of large manufacturing enterprise based on intermittent time series forecasting
As a key issue of inventory management for enterprise after-sales service, safety stock is dedicated to ensuring maintenance reliability while...
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Sustainable Space Tourism
Sustainable space tourism confronts the same economic and environmental issues. In the first year of space tourism in 2021, Virgin Galactic, Blue...
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Research on the Impact of Digital Services on the Economic Performance of Industrial Enterprises
The research is based on analysis of the scientific literature, world-class reports, analysis and processing of statistical data on the research...
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Time-frequency analysis and machine learning models for carbon market forecasting
As a follow-up to the recommendations of the Kyoto Protocol to reduces climate change, the European Union has created carbon financial markets (such...
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Decoupling Elasticity and Influencing Factors of Industrial Carbon Emissions in Hangzhou City, China
As one of the earliest cities to step into the period of industrial developed in China, Hangzhou inevitably develops industrial economy at the cost...
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Drivers and trajectories of China’s renewable energy consumption
Renewable energy is significant for addressing climate change and energy security. This study focused on the drivers of China’s renewable energy...
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Introduction
Artificial intelligence is the topic of this chapter, and it covers methods that make up AI and how AI relates to traditional machine learning (ML)...
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Steelmaking-continuous casting scheduling problem with multi-position refining furnaces under time-of-use tariffs
Multi-position refining furnaces are a critical strategy for energy-intensive industries to meet its demands of fast-paced production. In most...
