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Scheduling under uncertainty for industry 4.0 and 5.0
This article provides a review about how uncertainties in increasingly complex production
and supply chains should be addressed in scheduling tasks. Uncertainty management will …
and supply chains should be addressed in scheduling tasks. Uncertainty management will …
Comparison of two deep learning methods for ship target recognition with optical remotely sensed data
D Zhang, J Zhan, L Tan, Y Gao, R Župan - Neural computing and …, 2021 - Springer
As an important part of modern marine monitoring systems, ship target identification has
important significance in maintaining marine rights and monitoring maritime traffic. With the …
important significance in maintaining marine rights and monitoring maritime traffic. With the …
[PDF][PDF] Minimizing total production cost in a hybrid flow shop: a simulation-optimization approach
To ensure the competitiveness of manufacturing companies in the market, batching and
batch scheduling are among the most important tasks. This paper presents a simulation …
batch scheduling are among the most important tasks. This paper presents a simulation …
Hybrid flow shop rescheduling for contract manufacturing services
IR Uhlmann, RM Zanella… - International Journal of …, 2022 - Taylor & Francis
Several approaches for strategic and tactical integration of supply chains considering the
demand management process have been proposed in the literature. However, in the context …
demand management process have been proposed in the literature. However, in the context …
[PDF][PDF] Two-stage hybrid flowshop scheduling problem with independent setup times
In this paper, a two-stage hybrid flowshop scheduling problem with independent setup times
is examined. The complexity of the studied problem is NP-Hard in the strong sense since it …
is examined. The complexity of the studied problem is NP-Hard in the strong sense since it …
[PDF][PDF] MRP systems considering fuzzy capacity, lead times and inventory availability
This article aims to propose a fuzzy model for closed-loop material requirement planning
(MRP) systems considering uncertain parameters like production capacity, on-hand …
(MRP) systems considering uncertain parameters like production capacity, on-hand …
[PDF][PDF] Multi-response optimisation of turning process parameters with GRA and TOPSIS methods
The research deals with the optimisation of CNC turning process parameters to determine
the optimal parametric combination that provides the minimal surface roughness (Ra) and …
the optimal parametric combination that provides the minimal surface roughness (Ra) and …
Software test quality evaluation based on fuzzy mathematics
T Sun, X Lv, Y Cai, Y Pan… - Journal of intelligent & …, 2021 - content.iospress.com
The thesis starts with the connotation and attributes of software testing quality, introduces
software testing quality evaluation methods, and analyzes and discusses software testing …
software testing quality evaluation methods, and analyzes and discusses software testing …
[HTML][HTML] Product modeling design method based on graph neural network and fuzzy inference theory
P Wang - Alexandria Engineering Journal, 2023 - Elsevier
The method of graph neural network fused with fuzzy inference theory is adopted to conduct
in-depth research and analysis on the design of product styling, and designs a method to be …
in-depth research and analysis on the design of product styling, and designs a method to be …
Research on the core competitiveness of pharmaceutical listed companies based on fuzzy comprehensive evaluation
D Yunchao, H Ruikai - Journal of Intelligent & Fuzzy Systems, 2020 - content.iospress.com
The pharmaceutical industry is an important part of our national economy, which is the
combination of traditional industry and modern industry. Medicine is an industry with high …
combination of traditional industry and modern industry. Medicine is an industry with high …