Survey of integrated flexible job shop scheduling problems

X Li, X Guo, H Tang, R Wu, L Wang, S Pang… - Computers & Industrial …, 2022 - Elsevier
The flexible job shop scheduling problems (FJSP) has been studied for many years, and
many different mathematical models and solution approaches have been developed. With …

Energy-efficient scheduling in job shop manufacturing systems: a literature review

JMRC Fernandes, SM Homayouni, DBMM Fontes - Sustainability, 2022 - mdpi.com
Energy efficiency has become a major concern for manufacturing companies not only due to
environmental concerns and stringent regulations, but also due to large and incremental …

[HTML][HTML] Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines

MLR Rodríguez, S Kubler, A de Giorgio… - Robotics and Computer …, 2022 - Elsevier
In the context of Industry 4.0, companies understand the advantages of performing
Predictive Maintenance (PdM). However, when moving towards PdM, several …

An improved NSGA-II with local search for multi-objective integrated production and inventory scheduling problem

L Lv, W Shen - Journal of Manufacturing Systems, 2023 - Elsevier
In the context of collaborative manufacturing, integrated optimization of spare parts
production and inventory management is practically important. This paper investigates an …

Energy-efficient job shop scheduling problem with transport resources considering speed adjustable resources

DBMM Fontes, SM Homayouni… - International Journal of …, 2024 - Taylor & Francis
This work extends the energy-efficient job shop scheduling problem with transport resources
by considering speed adjustable resources of two types, namely: the machines where the …

A hybrid genetic algorithm for stochastic job-shop scheduling problems

M Boukedroun, D Duvivier, A Ait-el-Cadi… - RAIRO-Operations …, 2023 - rairo-ro.org
Job-shop scheduling problems are among most studied problems in last years because of
their importance for industries and manufacturing processes. They are classified as NP-hard …

Production Planning Optimization in a Two-Echelon Multi-Product Supply Chain with Discrete Delivery and Storage at Manufacturer's Warehouse

M Tajik, SM Hajimolana, M Daneshvar Kakhki - Mathematics, 2024 - mdpi.com
In today's competitive world, customers expect their demands to be met at the shortest
possible time, while manufacturers aspire to deliver the orders within a convenient time and …

A new coordinating model for green supply chain and batch delivery scheduling with satisfaction customers

M Ganji, R Rabet, SM Sajadi - Environment, development and …, 2022 - Springer
Scheduling an integrated, detailed SC (supply chain) at the operational level is a crucial
aspect of SCM (supply chain management). Simultaneous consideration of scheduling the …

Application of non-dominated sorting genetic algorithm (NSGA-II) to increase the efficiency of bakery production: A case study

M Babor, L Pedersen, U Kidmose, O Paquet-Durand… - Processes, 2022 - mdpi.com
Minimizing the makespan is an important research topic in manufacturing engineering
because it accounts for significant production expenses. In bakery manufacturing, ovens are …

Review evolution of dual-resource-constrained scheduling problems in manufacturing systems: modeling and scheduling methods' trends

A Delgoshaei, MKAM Ariffin, S Maleki, Z Leman - Soft Computing, 2023 - Springer
Dual-resource-constrained scheduling problems (DRCSP) have been hotly debated during
the last two decades. DRCSPs focus on the causes and consequences of problems arising …