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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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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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Massimo Pacella, Matteo Mangini and Gabriele Papadia
Considering the issue of energy consumption reduction in industrial plants, we investigated a clustering method for mining the time-series data related to energy consumption. The industrial case study considered in our work is one of the most energy-inte...
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Patricio Sáez, Carlos Herrera and Victor Parada
Manufacturing companies face a significant challenge when developing their master production schedule, navigating unforeseen disruptions during daily operations. Moreover, fluctuations in demand pose a substantial risk to scheduling and are the main caus...
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Chia-Man Chang, Ching-Wen Wang, Meng-Yuan Huang, Chung-I Chen, Kuan-Hung Lin and Chih-Pei Shen
In our previous work, we observed that Oncidesa Gower Ramsey ?Honey Angel? (HA) plants became stunned on hot summer afternoons, and the seasonal trend in solar radiation affected its production schedule by limiting flower yield and quality. The objective...
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Predrag Mitic, Suzana Petrovic Savic, Aleksandar Djordjevic, Milan Eric, Enes Sukic, Dejan Vidojevic and Miladin Stefanovic
This research focuses on small- and medium-sized businesses that provide machining or other process services but do not produce their own products. Their daily manufacturing schedule varies according to client needs. Small- and medium-sized businesses st...
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Jihun Kim, Il Do Ha, Sookhee Kwon, Ikhoon Jang and Myung Hwan Na
Recently, smart farming research based on artificial intelligence (AI) has been widely applied in the field of agriculture to improve crop cultivation and management. Predicting the harvest time (time-to-harvest) of crops is important in smart farming to...
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Jaspreet Singh, Sanjeev K. Sandal, Abrar Yousuf and Parminder Singh Sandhu
The proficient supply of water and nutrients is a key factor for successful vegetable production under greenhouses. This field experiment was conducted during 2018?2019 under a completely randomized design to evaluate the effects of drip irrigation and n...
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The Jin Ai and Ririn Diar Astanti
Due to the shortage and high cost of shipping containers, manufacturers that distribute products for worldwide customers must optimize their delivery. Commonly, they complete their delivery schedule first before creating the production schedule. This art...
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Jose Bernardes, Jr., Mateus Santos, Thiago Abreu, Lenio Prado, Jr., Dannilo Miranda, Ricardo Julio, Pedro Viana, Marcelo Fonseca, Edson Bortoni and Guilherme Sousa Bastos
The optimal dispatch of hydropower plants consists of the challenge of taking advantage of both available head and river flows. Despite the objective of delivering the maximum power to the grid, some variables are uncertain, dynamic, non-linear, and non-...
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