Scheduling under uncertainty for industry 4.0 and 5.0

K Bakon, T Holczinger, Z Süle, S Jaskó… - IEEE Access, 2022 - ieeexplore.ieee.org
This article provides a review about how uncertainties in increasingly complex production
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 …

[PDF][PDF] Minimizing total production cost in a hybrid flow shop: a simulation-optimization approach

D Istokovic, M Perinic, M Vlatkovic… - International journal of …, 2020 - ijsimm.com
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 …

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 …

[PDF][PDF] Two-stage hybrid flowshop scheduling problem with independent setup times

M Jemmali, L Hidri, A Alourani - International Journal of …, 2022 - researchgate.net
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 …

[PDF][PDF] MRP systems considering fuzzy capacity, lead times and inventory availability

JA Cano, RA Gomez-Montoya, P Cortés… - International Journal of …, 2021 - researchgate.net
This article aims to propose a fuzzy model for closed-loop material requirement planning
(MRP) systems considering uncertain parameters like production capacity, on-hand …

[PDF][PDF] Multi-response optimisation of turning process parameters with GRA and TOPSIS methods

M Ficko, D Begic-Hajdarevic, V Hadziabdic… - International Journal of …, 2020 - ijsimm.com
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 …

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 …

[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 …

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 …