A survey of job shop scheduling problem: The types and models

H Xiong, S Shi, D Ren, J Hu - Computers & Operations Research, 2022 - Elsevier
Job shop scheduling problem (JSSP) is a thriving area of scheduling research, which has
been concerned and studied widely by scholars in engineering and academic fields. This …

Artificial intelligence for decision support systems in the field of operations research: review and future scope of research

S Gupta, S Modgil, S Bhattacharyya, I Bose - Annals of Operations …, 2022 - Springer
Operations research (OR) has been at the core of decision making since World War II, and
today, business interactions on different platforms have changed business dynamics …

An improved genetic algorithm with modified critical path-based searching for integrated process planning and scheduling problem considering automated guided …

Q Liu, C Wang, X Li, L Gao - Journal of Manufacturing Systems, 2023 - Elsevier
Integrated process planning and scheduling (IPPS) can take advantage of the
complementary attributes of process planning and shop scheduling to obtain better …

A hybrid many-objective evolutionary algorithm for flexible job-shop scheduling problem with transportation and setup times

J Sun, G Zhang, J Lu, W Zhang - Computers & operations research, 2021 - Elsevier
This paper addresses a many-objective flexible job-shop scheduling problem with
transportation and setup times (MaOFJSP_T/S) where the objective is to minimize the …

Bi-objective grey wolf optimization algorithm combined Levy flight mechanism for the FMC green scheduling problem

B Zhou, Y Lei - Applied Soft Computing, 2021 - Elsevier
As more and more enterprises have laid great emphasis on eco-friendly manufacturing
processes while enhancing agility, this paper focuses on the green scheduling problem of …

Multi-objective scheduling of a single mobile robot based on the grey wolf optimization algorithm

M Petrović, A Jokić, Z Miljković, Z Kulesza - Applied Soft Computing, 2022 - Elsevier
During the last decades, intelligent mobile robots have been recognized as one of the most
promising and emerging solutions used for fulfilling material transport demands in intelligent …

A multi-population co-evolutionary algorithm for green integrated process planning and scheduling considering logistics system

Q Liu, C Wang, X Li, L Gao - Engineering Applications of Artificial …, 2023 - Elsevier
Nowadays, green manufacturing is an increasingly significant theme in the worldwide
industry fields. System integration can fully exploit the potential of subsystems to achieve …

A multi-agent system simulation based approach for collision avoidance in integrated job-shop scheduling problem with transportation tasks

K Sanogo, AM Benhafssa, M Sahnoun… - Journal of Manufacturing …, 2023 - Elsevier
At the operational level of Flexible Manufacturing Systems (FMS), several research works
have developed solutions not fully realizable considering the operational constraints, which …

Flexible job-shop scheduling problem with unrelated parallel machines and resources-dependent processing times: a tabu search algorithm

M Hajibabaei, J Behnamian - International Journal of Management …, 2021 - Taylor & Francis
Flexible job shop scheduling problem is one of the most important topics in production
management and is one of the most complex topics in combinatorial optimization. This …

Hybrid memetic algorithm to solve multiobjective distributed fuzzy flexible job shop scheduling problem with transfer

J Yang, H Xu - Processes, 2022 - mdpi.com
Most studies on distributed flexible job shop scheduling problem (DFJSP) assume that both
processing time and transmission time are crisp values. However, due to the complexity of …