[HTML][HTML] A survey of scheduling with parallel batch (p-batch) processing
Multiple jobs are processed simultaneously on a given batch processing machine in parallel
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …
A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem
F Yu, C Lu, J Zhou, L Yin, K Wang - Engineering Applications of Artificial …, 2024 - Elsevier
With the guidance of the advanced manufacturing philosophy, green scheduling and energy
efficiency have received considerable attention from enterprises and countries. Meanwhile …
efficiency have received considerable attention from enterprises and countries. Meanwhile …
Sustainable negotiation-based nesting and scheduling in additive manufacturing systems: A case study and multi-objective meta-heuristic algorithms
This paper proposes a novel integrated framework for nesting (ie, part orientation selection
and two-dimensional packing) and scheduling parts assigned to batches (or jobs) on …
and two-dimensional packing) and scheduling parts assigned to batches (or jobs) on …
A scatter simulated annealing algorithm for the bi-objective scheduling problem for the wet station of semiconductor manufacturing
J Pang, H Zhou, YC Tsai, FD Chou - Computers & Industrial Engineering, 2018 - Elsevier
This paper studies a single-machine scheduling problem where flexible maintenance is
required in the planning horizon. The problem observed is in the clean operation of …
required in the planning horizon. The problem observed is in the clean operation of …
Ant colony optimization algorithm for scheduling jobs with fuzzy processing time on parallel batch machines with different capacities
We study the problem of scheduling on parallel batch processing machines with different
capacities under a fuzzy environment to minimize the makespan. The jobs have non …
capacities under a fuzzy environment to minimize the makespan. The jobs have non …
A hybrid genetic algorithm and tabu search for a multi-objective dynamic job shop scheduling problem
In most real manufacturing environments, schedules are usually inevitable with the
presence of various unexpected disruptions. In this paper, a rescheduling method based on …
presence of various unexpected disruptions. In this paper, a rescheduling method based on …
Unrelated parallel batch processing machine scheduling for production systems under carbon reduction policies: NSGA-II and MOGWO metaheuristics
In recent years, the problem of extensive energy consumption and carbon emission in
manufacturing companies has been highlighted. Efficient scheduling strategies can help …
manufacturing companies has been highlighted. Efficient scheduling strategies can help …
A multi-objective artificial bee colony algorithm for parallel batch-processing machine scheduling in fabric dyeing processes
Fabric dyeing is a critical production process in the clothing industry. Characterized by high
energy consumption and water pollutant emission, dyeing processes need careful …
energy consumption and water pollutant emission, dyeing processes need careful …
Improved MILP formulation equipped with valid inequalities for scheduling a batch processing machine with non-identical job sizes
We consider the problem of minimizing makespan on a single batch processing machine
with a limited capacity. The machine can simultaneously process a group (batch) of jobs …
with a limited capacity. The machine can simultaneously process a group (batch) of jobs …
Bi-criteria ant colony optimization algorithm for minimizing makespan and energy consumption on parallel batch machines
We investigate the problem of minimizing the makespan and the total electric power cost
simultaneously on a set of parallel identical batch-processing machines, where the jobs with …
simultaneously on a set of parallel identical batch-processing machines, where the jobs with …