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Mattia Neroni, Massimo Bertolini and Angel A. Juan
In automated storage and retrieval systems (AS/RSs), the utilization of intelligent algorithms can reduce the makespan required to complete a series of input/output operations. This paper introduces a simulation optimization algorithm designed to minimiz...
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Sebastiano Gaiardelli, Damiano Carra, Stefano Spellini and Franco Fummi
Efficiently managing resource utilization is critical in manufacturing systems to optimize production efficiency, especially in dynamic environments where jobs continually enter the system and machine breakdowns are potential occurrences. In fully automa...
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Naseem Adnan Alsamarai and Osman Nuri Uçan
Today, the IoT has become a vital part of our lives because it has entered into the precise details of human life, like smart homes, healthcare, eldercare, vehicles, augmented reality, and industrial robotics. Cloud computing and fog computing give us se...
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Shubhendu Kshitij Fuladi and Chang-Soo Kim
In the real world of manufacturing systems, production planning is crucial for organizing and optimizing various manufacturing process components. The objective of this paper is to present a methodology for both static scheduling and dynamic scheduling. ...
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Yu-Hung Chang, Chien-Hung Liu and Shingchern D. You
The dynamic flexible job-shop problem (DFJSP) is a realistic and challenging problem that many production plants face. As the product line becomes more complex, the machines may suddenly break down or resume service, so we need a dynamic scheduling frame...
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Byeong-Min Jeong, Yun-Seo Oh, Dae-Sung Jang, Nam-Eung Hwang, Joon-Won Kim and Han-Lim Choi
Task allocation is an essential element for determining the capability of multi-UAV systems to perform various tasks. This paper presents a procedure called a ?rebalancing algorithm? for generating task-performing routes in heterogeneous multi-UAV system...
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Mallu Shiva Rama Krishna and Sudheer Mangalampalli
Task scheduling poses a wide variety of challenges in the cloud computing paradigm, as heterogeneous tasks from a variety of resources come onto cloud platforms. The most important challenge in this paradigm is to avoid single points of failure, as tasks...
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Vamsheedhar Reddy Pillareddy and Ganesh Reddy Karri
Cloud computing is a prominent approach for complex scientific and business workflow applications in the pay-as-you-go model. Workflow scheduling poses a challenge in cloud computing due to its widespread applications in physics, astronomy, bioinformatic...
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Amin Rahimi, Seyed Mojtaba Hejazi, Mostafa Zandieh and Mirpouya Mirmozaffari
In this paper, the problem of finding an assignment of ?n? surgeries to be presented in one of ?m? identical operating rooms (ORs) or machines as the surgical case scheduling problem (SCSP) is proposed. Since ORs are among NP-hard optimization problems, ...
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Che Han Lim and Seung Ki Moon
In a flexible job shop problem with transportation (FJSPT), a typical flexible manufacturing system comprises transporters that pick up and deliver jobs for processing at flexible job shops. This problem has grown in importance through the wide use of au...
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