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International Journal of Production Management and Engineering
Scopus
ISSN 2340-4876 · Universitat Politècnica de València · 186 artikel di indeks
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Artikel Jurnal
A conceptual model for supply chains with customised product-service systems
The strategic shift towards satisfying customers with customised product-services has intensified over the last decade. However, a formidable challenge emerges in effectively integrating supply chain partners into this service-oriented paradigm. This complexity is compounded by a gap in the…
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Artikel Jurnal
Optimisation of maritime routes: An intelligent approach to logistics efficiency
Efficient maritime route planning is pivotal for optimising global logistics operations in an increasingly competitive environment. This study aims to determine the optimal number of clusters among 90 georeferenced ports across six continents, minimizing distances and enhancing operational…
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Combinatorial framework for reducing tardiness in multi-machine scheduling using EDD, NEH and genetic algorithm
No-idle flow shop scheduling is a critical challenge in manufacturing, where minimising overall tardiness directly impacts efficiency and customer satisfaction. This study introduces a novel hybrid algorithm, EDD-NEH-GA (ENG), which integrates Earliest Due Date (EDD) and Nawaz-Enscore-Ham (NEH)…
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Optimizing employee promotion predictions using machine learning
Employee promotions are essential for both organizational growth and individual career advancement, yet they often face challenges such as data imbalances and the lack of effective predictive frameworks. This study addresses these issues by applying advanced machine learning models to improve…
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Multi-objective optimization for integrated production scheduling and maintenance planning
The search for integrated solutions in the machining industry, particularly in job shop production scheduling and maintenance planning, is crucial. This development aims to simultaneously inform production scheduling decisions and maintenance planning, thereby minimizing makespan and operational…
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A conceptual model for provider production scheduling in a manufacturing-as-a-service systems using deep reinforcement learning
Manufacturing as a Service (MaaS) is an emerging paradigm in which a Provider exposes manufacturing capabilities such as CNC machines, additive manufacturing systems, and other production assets as on-demand services to multiple Consumers. In this setting, Provider side scheduling becomes a…
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Framework for characterising mathematical programming models for capacitated lot-sizing and scheduling problem
The Capacitated Lot-Sizing and Scheduling Problem (CLSSP) integrates production planning and scheduling decisions under capacity constraints. It combines multiple complex subproblems, including lot-sizing, production assignment, sequencing, and timing (often subject to dependent setup times), as…
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A multi-period, multi-product closed-loop supply chain network design: integrated economic and environmental optimization
This study proposes a novel multi-period, multi-product, and multi-echelon closed-loop supply chain (CLSC) model that simultaneously addresses economic and environmental objectives under dynamic demand and return conditions. Formulated as a mixed-integer linear programming (MILP) model, the…
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Artikel Jurnal
Optimizing emergency relief logistics: a multi-scenario vehicle routing model with heterogeneous fleet deployment
This research develops a mathematical model for optimizing transportation routing in relief supply distribution during flood disasters to address a critical challenge within emergency logistics. The primary objective is to minimize the expected total delivery time through efficient route planning…
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Speeding up negotiations for prototypes in an industrial project using blockchain technology
Vehicle development projects are increasingly exigent in a highly competitive automotive world. The profitability of those projects can only be assured by seeking optimisations in the way they are performed. Project managers and their teams require support from tools and technologies that can…
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Measuring corporate sustainability: a unified indicator system for circular economy implementation
The transition towards Circular Economy (CE) models has intensified the demand for unified measurement systems that integrate sustainability, policy, and corporate reporting. Existing CE tools—such as Circulytics, CTI, and MCI—primarily address environmental efficiency, while social and governance…
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Zero-defects manufacturing: state-of-the-art and conceptual framework
Zero-defect manufacturing has become essential for delivering defect-free products in increasingly demanding and customised production environments. Within the framework of Industry 4.0, technologies such as the Industrial Internet of Things (IIoT), digital twins, and artificial intelligence offer…
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Towards future jobs in the textile industry: opportunities and challenges of Operator 5.0
The study focuses on the future job opportunity in the textile industry by implementing Operator 5.0. Due to the rise of concepts like Society 5.0 and Industry 5.0, there is a paradigm shift of employment in the textile industry. The technologies enabled by these concepts require an overhaul of…
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Improvement using plan-do-check-act and quality control tools: a case study in mobile phone manufacturing
In high-volume electronics assembly, rework destabilizes delivery performance, lowers productivity, and raises the cost of subpar quality. This research details an organized Plan-Do-Check-Act (PDCA) improvement initiative that was carried out in a high-volume manufacturing facility on mobile phone…
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An integrative conceptual framework for the evolution of lean supply chains from industry 4.0 to industry 5.0
This research provides an integrative systematic literature review (SLR) for the evolution of lean supply chains (LSC) from industry 4.0 to industry 5.0. In line with this, three research questions are posed and answered through an SLR with 84 articles classified into four analytical categories of…
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The sequence-dependent job sequencing and tool switching problem with non-identical parallel machines
This study explores the job sequencing and tool switching problem with sequence-dependent setup times on non-identical parallel machines (SDSSP-NPM). The problem involves diverse parallel machines with varying tool magazine capacities, processing times, and sequence-dependent setup times. This…
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Integrated optimization of production-maintenance planning with quality control considering reliability levels
Gaps occur in the integrated optimization of production, maintenance and quality, namely not considering the level of reliability in planning simultaneously. In this way, the development of an integrated model can determine total operational costs and minimum makespan in the aspects of production…
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Artikel Jurnal
A decomposition predator–prey multi-objective evolutionary algorithm with deep Q-network for green flexible job shop problem
The Green Flexible Job Shop Scheduling Problem (Green FJSP) involves conflicting objectives, such as minimizing production time and reducing energy consumption. To solve this problem, we propose a hybrid approach based on the Multi-Objective Evolutionary Algorithm using Penalty-Based Intersection…
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Review of state-of-the-art and conceptual framework approaches in seaside port operations: berth allocation, and quay crane assignment and scheduling
The continuous growth in the volume of goods transported by sea has led to a significant increase in the number of vessels and containers arriving at ports, requiring more efficient management of vessel loading and unloading operations. These operations involve three key problems: berth allocation…
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Transforming sustainable and green supply chains with artificial intelligence: A strategic review and future research opportunities
Supply chain management (SCM) using artificial intelligence (AI) transforms business practices by encouraging sustainability. Gaining insight into AI's role in improving supply chain effectiveness and lowering environmental impact is essential as demand for sustainable practices rises. This study…