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European Journal of Operational Research
Scopus
ISSN 0377-2217 · Elsevier BV · 17 artikel di indeks
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Artikel Jurnal Teks lengkap
The flexible job shop scheduling problem: A review
The flexible job shop scheduling problem (FJSP) is an NP-hard combinatorial optimization problem, which has wide applications in the real world. The complexity and relevance of the FJSP have led to numerous research works on its modeling and resolution. This paper reviews some of the research of…
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Consensus reaching process in large-scale group decision making based on bounded confidence and social network
Consensus reaching process (CRP) is a dynamic and interactive method used to reach a group decision. Now that social networks and mobile internet are prominent features in daily life, more experts are able to take participate in decision making in the network and their opinions are influenced by…
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Artikel Jurnal Teks lengkap
A hybrid particle swarm optimization and simulated annealing algorithm for the job shop scheduling problem with transport resources
This work addresses a variant of the job shop scheduling problem in which jobs need to be transported to the machines processing their operations by a limited number of vehicles. Given that vehicles must deliver the jobs to the machines for processing and that machines need to finish processing the…
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Artikel Jurnal
Two-echelon vehicle routing problems: A literature review
In the two-echelon vehicle routing problem (2E-VRP), the distribution network is split into two echelons. Different vehicles are operated on the first and second echelon to maintain economies of scale and adhere to any vehicle restrictions that may be present in either echelon. Intermediate…
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Artikel Jurnal Teks lengkap
Electric bus planning & scheduling: A review of related problems and methodologies
Electrification of bus fleets in most cities is expected to rise due to its significant environmental benefits. However, electric buses have limited driving range and long recharging times. Additionally, electric buses require special charging infrastructure, which overall makes them less flexible…
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Artikel Jurnal Teks lengkap
Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects
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Artikel Jurnal Teks lengkap
Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
In recent years, there has been a growing research interest in integrating machine learning techniques into meta-heuristics for solving combinatorial optimization problems. This integration aims to lead meta-heuristics toward an efficient, effective, and robust search and improve their performance…
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An updated survey of variants and extensions of the resource-constrained project scheduling problem
The resource-constrained project scheduling problem is to schedule activities subject to precedence and resource constraints such that the makespan is minimized. It has become a standard problem in the context of project scheduling which has attracted numerous researchers who developed both exact…
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Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda
Autonomous mobile robots (AMR) are currently being introduced in many intralogistics operations, like manufacturing, warehousing, cross-docks, terminals, and hospitals. Their advanced hardware and control software allow autonomous operations in dynamic environments. Compared to an automated guided…
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Assembly line balancing: What happened in the last fifteen years?
Ever since the times of Henry Ford up to today’s industry 4.0 era, flow-oriented assembly processes, where an assembly line conveys the workpieces from workstation to workstation, are very important for mass-producers in manifold branches of industry. Among the most elementary optimization problems…
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Artikel Jurnal Teks lengkap
Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion
Non-cooperative behavior is a common situation in large-scale group decision-making (LSGDM) problems. In addition, decision makers in LSGDM often use different preference formats to express their opinions, due to their educational backgrounds, knowledge, and experiences. Heterogeneous preference…