Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Makespan estimation in a flexible job-shop scheduling environment using machine learning
ABSTRACT A production plan gives the quantity of products to release on the shop floor in
each period, where a period may represent a week or a month. The plan is the basis for …
each period, where a period may represent a week or a month. The plan is the basis for …
[HTML][HTML] Constraint learning approaches to improve the approximation of the capacity consumption function in lot-sizing models
Classical capacitated lot-sizing models include capacity constraints relying on a rough
estimation of capacity consumption. The plans resulting from these models are often not …
estimation of capacity consumption. The plans resulting from these models are often not …
Tabu search for a parallel-machine scheduling problem with periodic maintenance, job rejection and weighted sum of completion times
We consider in this work a bicriteria scheduling problem on two different parallel machines
with a periodic preventive maintenance policy. The two objectives considered involve …
with a periodic preventive maintenance policy. The two objectives considered involve …
Exploring the Power of Artificial Intelligence in Supply Chain Management: A Literature Review on the Artificial Intelligence Applications and Tools Used in Supply …
MM Harrir, L Triqui Sari - Engineering Management Journal, 2024 - Taylor & Francis
Since the beginning of the 21st century, supply chains have witnessed rapid and significant
changes along with considerable developments due to the convergence between …
changes along with considerable developments due to the convergence between …
[HTML][HTML] Adaptive robust electric vehicle routing under energy consumption uncertainty
Electric vehicles (EVs) have been highly favoured as a mode of transportation in recent
years. EVs offer numerous benefits over traditional fuel-based vehicles, particularly in terms …
years. EVs offer numerous benefits over traditional fuel-based vehicles, particularly in terms …
[HTML][HTML] A production and distribution scheduling matheuristic for reducing supply chain variations
In a supply chain network, satisfying the demand at the shop level while having a smooth
production at the manufacturer (or plant) level are usually conflicting objectives. For …
production at the manufacturer (or plant) level are usually conflicting objectives. For …
An LSTM network-based genetic algorithm for integrated procurement and scheduling optimisation
Modern supply chains are characterised by high complexity, requiring effective management
through coordinated activities across interrelated functions. This study aims to move from …
through coordinated activities across interrelated functions. This study aims to move from …
Minimization of maximum lateness on parallel machines with a single server and job release dates
This paper addresses the problem of scheduling independent jobs with release dates on
identical parallel machines with a single server. The goal consists in minimizing the …
identical parallel machines with a single server. The goal consists in minimizing the …
Predicting makespan in flexible job shop scheduling problem using machine learning
Abstract Machine learning tools have experienced a growing interest in the early 2010s,
providing efficient predictive approaches for artificial intelligence and statistical analysis …
providing efficient predictive approaches for artificial intelligence and statistical analysis …
Variable neighbourhood search for parallel machine scheduling with a single loading server: a truck-scheduling perspective
In this paper, we study a class of parallel machine scheduling problem with a single loading
and multiple unloading servers. We show an application of this problem in a truck …
and multiple unloading servers. We show an application of this problem in a truck …