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Trends and applications of machine learning in water supply networks management
Robles-Velasco, Alicia; Muñuzuri, Jesús; Onieva, Luis; … - In: Journal of industrial engineering and management : JIEM 14 (2021) 1, pp. 45-54
Purpose: This study describes the trends and applications of machine learning systems in the management of water supply networks. Machine learning is a field in constant development, and it has a great potential and capability to attain improvements in real industries. The recent tendency of...
Persistent link: https://www.econbiz.de/10012421679
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Towards improving the performance of flexible manufacturing system: a case study
Singholi, Ajay; Chhabra, Deepti; Ali, Mohammad - In: Journal of industrial engineering and management : JIEM 3 (2010) 1, pp. 87-115
Increasing global competition has evolved a manufacturing environment which gleans vast product variety, reduced manufacturing lead times, increased quality standards and competitive costs. Simultaneously, with a rising trend toward globalization, these manufacturing environments must be...
Persistent link: https://www.econbiz.de/10011899141
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A hybrid flow shop model for an ice cream production scheduling problem
Ribas Vila, Imma; Companys Pascual, Ramon - In: Journal of industrial engineering and management : JIEM 2 (2009) 1, pp. 60-89
In this paper we address the scheduling problem that comes from an ice cream manufacturing company. This production …
Persistent link: https://www.econbiz.de/10011898585
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A flow shop batch scheduling and operator assignment model with time-changing effects of learning and forgetting to minimize total actual flow time
Kurniawan, Dwi; Cakravastia, Andi; Suprayogi, Suprayogi; … - In: Journal of industrial engineering and management : JIEM 13 (2020) 3, pp. 546-564
Persistent link: https://www.econbiz.de/10012421529
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A review of lot streaming in a flow shop environment with makespan criteria
Gómez-Gasquet, Pedro; Segura-Andrés, Rubén; … - In: Journal of industrial engineering and management : JIEM 6 (2013) 3, pp. 761-770
is readily accessible to researchers and practitioners in the more mainstream production scheduling community. Findings …/value: This paper sets out to review current literature, from an advanced production scheduling perspective, and contributes a set …
Persistent link: https://www.econbiz.de/10011902778
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Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization...
Jafarzadeh, Hassan; Moradinasab, Nazanin; Gerami, Ali - In: Journal of industrial engineering and management : JIEM 10 (2017) 5, pp. 887-918
Purpose: Adjusted discrete Multi-Objective Invasive Weed Optimization (DMOIWO) algorithm, which uses fuzzy dominant … approach for ordering, has been proposed to solve No-wait two-stage flexible flow shop scheduling problem. Design …/methodology/approach: No-wait two-stage flexible flow shop scheduling problem by considering sequence-dependent setup times and probable rework …
Persistent link: https://www.econbiz.de/10011920773
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Implementation of Lean Six Sigma for production process optimization in a paper production company
Adeodu, Adefemi; Kanakana-Katumba, Mukondeleli Grace; … - In: Journal of industrial engineering and management : JIEM 14 (2021) 3, pp. 661-680
optimization of the production process was based on lean tools like value stream mapping, process cycle efficiency, Kaizen, 5S and …
Persistent link: https://www.econbiz.de/10012599082
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Research on the time optimization model algorithm of Customer Collaborative Product Innovation
Yu, Guodong; Yu, Yang; Xing, Qingsong; Li, Fei - In: Journal of industrial engineering and management : JIEM 7 (2014) 1, pp. 137-152
innovation and shorten the product design cycle, an improved genetic annealing algorithm of the time optimization was presented … job shop problems for machining model and proposes the improved genetic algorithm to solve the problems, which is based on … were verified to be correct and effective. Findings and Originality/value: An algorithm with obvious advantages in terms of …
Persistent link: https://www.econbiz.de/10011904375
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Comparative study of heuristics algorithms in solving flexible job shop scheduling problem with condition based maintenance
Zheng, Yahong; Lian, Lian; Khaled Mesghouni - In: Journal of industrial engineering and management : JIEM 7 (2014) 2, pp. 518-531
Purpose: This paper focuses on a classic optimization problem in operations research, the flexible job shop scheduling … machines. Different to the simultaneous scheduling algorithm (SSA) used in the previous article (Neale & Cameron,1979), an … increases the complexity of the problem. An inserting algorithm (IA) is proposed to solve the dynamic scheduling problem. It is …
Persistent link: https://www.econbiz.de/10011912332
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Study on multi-objective flexible job-shop scheduling problem considering energy consumption
Jiang, Zengqiang; Le, Zuo; E, Mingcheng - In: Journal of industrial engineering and management : JIEM 7 (2014) 3, pp. 589-604
Purpose: Build a multi-objective Flexible Job-shop Scheduling Problem(FJSP) optimization model, in which the makespan …-dominated Sorting Genetic Algorithm (NSGA-II) based on blood variation for above scheduling model. Design/methodology/approach: A multi …-objective optimization theory based on Pareto optimal method is used in carrying out the optimization model. NSGA-II is used to solve the …
Persistent link: https://www.econbiz.de/10011912419