2004
DOI: 10.1080/09511920412331292628
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Distributed scheduling to support mass customization in the shoe industry

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Cited by 24 publications
(13 citation statements)
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“…Currently, the production scheduling of the industrial plant considered is created by a software named Preactor. Preactor is a finite capacity planning system, with a highly configurable and modular structure [72]. Reference [6] present a survey about production scheduling systems currently used in the industrial sector, offering an analysis of 16 systems including Preactor.…”
Section: Case Studymentioning
confidence: 99%
See 1 more Smart Citation
“…Currently, the production scheduling of the industrial plant considered is created by a software named Preactor. Preactor is a finite capacity planning system, with a highly configurable and modular structure [72]. Reference [6] present a survey about production scheduling systems currently used in the industrial sector, offering an analysis of 16 systems including Preactor.…”
Section: Case Studymentioning
confidence: 99%
“…The authors point out that, compared to other software, Preactor lacks the functionality to display information received from the sensors in the manufacturing system. Preactor is especially useful for generating scheduling from resource information, demands and constraint information (through its integration with an ERP system or through its bill of materials module, according to [72]).…”
Section: Case Studymentioning
confidence: 99%
“…Self-Learning optimization of manufacturing process parameters for shoe industry One of the involved industrial partners addresses control systems/machines and automation systems for shoe industry. As stated in [15], [16], [17], the production and manufacturing of shoes involves a wide variety of materials and a large number of operations grouped into five major activities, namely cutting, stitching, preparation, lasting and finishing. These activities comprises a set of complex operations that are labour intensive and operator skill dependent.…”
Section: Application Scenariosmentioning
confidence: 99%
“…Nemec and Zlajpah [9] described a robotic cell for finishing operations in a custom shoe production plant. Barnett et al [10] discussed the footwear industry in Europe and then proposed a distributed scheduling approach to provide the required autonomy in decision-making and flexibility in job sequencing at the departmental level to deal with the complexity of planning a large number of small batch production orders. Fornasiero et al [11] introduced a new tool that has been developed by a service provider to the footwear industry to support shoe producers in managing costs and orders automatically through a web application.…”
Section: Introductionmentioning
confidence: 99%