An expert scheduling system for material handling hoists

An Adapted Variable Neighborhood Search based algorithm for the cyclic multi-hoist design and scheduling problem

“…Thenceforth, HSP continued to receive much attention from scientists who proposed various models and methods to tackle one of its variants while considering specific objectives and constraints. An interesting study, worth to cite here, is the classification of HSPs made by Manier and Bloch [34] who identified four main classes (variants) of the problem: Cyclic (CHSP), Predictive (PHSP, [7,17,46]), Dynamic (DHSP, [15,21,48]) and Reactive (RHSP, [45,49]). The authors also provided a typology of the different classes and proposed a generic notation for HSP.…”

An Adapted Variable Neighborhood Search based algorithm for the cyclic multi-hoist design and scheduling problem

“…Thenceforth, HSP continued to receive much attention from scientists who proposed various models and methods to tackle one of its variants while considering specific objectives and constraints. An interesting study, worth to cite here, is the classification of HSPs made by Manier and Bloch [34] who identified four main classes (variants) of the problem: Cyclic (CHSP), Predictive (PHSP, [7,17,46]), Dynamic (DHSP, [15,21,48]) and Reactive (RHSP, [45,49]). The authors also provided a typology of the different classes and proposed a generic notation for HSP.…”

Genetic Algorithm Based Approach for the Multi-Hoist Design and Scheduling Problem

“…It consists in searching the cyclic schedule of hoists' moves that minimizes the cycle period. CHSP is one variant of the general Hoist Scheduling Problem (HSP) for which Manier and Bloch [2] have identified four big classes: Cyclic "CHSP", Predictive "PHSP" [3], [4], Dynamic "DHSP" [5], [6] and Reactive "RHSP" [7], [8]. The authors have also provided a general notation to the HSP Based on it, the suitable notation of the handled problem is the following:…”

Scheduling of flexible manufacturing systems: An ant colony optimization approach

“…Yih and Thesen [8] provided a semi-Markov decision model for a real-time scheduling problem to determine the sequence of parts within an FMS. Thesen and Lie [9], Shaw [10], Liang et al [11] and Chryssolouris et al [12] used simulation to acquire knowledge related to relationships between system attributes and performance of dispatching rules, while Talavage and Shodham [13] proposed a COMMAND framework, which combines capabilities of simulation and knowledge engineering to search for an e cient design and control strategy. Bengu [14], Kim and Kim [15] and Du e and Prabhu [16] presented a simulation-based approach.…”

An Adapted Variable Neighborhood Search based algorithm for the cyclic multi-hoist design and scheduling problem

“…Thenceforth, HSP continued to receive much attention from scientists who proposed various models and methods to tackle one of its variants while considering specific objectives and constraints. An interesting study, worth to cite here, is the classification of HSPs made by Manier and Bloch [34] who identified four main classes (variants) of the problem: Cyclic (CHSP), Predictive (PHSP, [7,17,46]), Dynamic (DHSP, [15,21,48]) and Reactive (RHSP, [45,49]). The authors also provided a typology of the different classes and proposed a generic notation for HSP.…”

Genetic Algorithm Based Approach for the Multi-Hoist Design and Scheduling Problem

“…It consists in searching the cyclic schedule of hoists' moves that minimizes the cycle period. CHSP is one variant of the general Hoist Scheduling Problem (HSP) for which Manier and Bloch [2] have identified four big classes: Cyclic "CHSP", Predictive "PHSP" [3], [4], Dynamic "DHSP" [5], [6] and Reactive "RHSP" [7], [8]. The authors have also provided a general notation to the HSP Based on it, the suitable notation of the handled problem is the following:…”

Scheduling of flexible manufacturing systems: An ant colony optimization approach

“…Yih and Thesen [8] provided a semi-Markov decision model for a real-time scheduling problem to determine the sequence of parts within an FMS. Thesen and Lie [9], Shaw [10], Liang et al [11] and Chryssolouris et al [12] used simulation to acquire knowledge related to relationships between system attributes and performance of dispatching rules, while Talavage and Shodham [13] proposed a COMMAND framework, which combines capabilities of simulation and knowledge engineering to search for an e cient design and control strategy. Bengu [14], Kim and Kim [15] and Du e and Prabhu [16] presented a simulation-based approach.…”

An Adapted Variable Neighborhood Search based algorithm for the cyclic multi-hoist design and scheduling problem

“…Thenceforth, HSP continued to receive much attention from scientists who proposed various models and methods to tackle one of its variants while considering specific objectives and constraints. An interesting study, worth to cite here, is the classification of HSPs made by Manier and Bloch [34] who identified four main classes (variants) of the problem: Cyclic (CHSP), Predictive (PHSP, [7,17,46]), Dynamic (DHSP, [15,21,48]) and Reactive (RHSP, [45,49]). The authors also provided a typology of the different classes and proposed a generic notation for HSP.…”

Genetic Algorithm Based Approach for the Multi-Hoist Design and Scheduling Problem

“…It consists in searching the cyclic schedule of hoists' moves that minimizes the cycle period. CHSP is one variant of the general Hoist Scheduling Problem (HSP) for which Manier and Bloch [2] have identified four big classes: Cyclic "CHSP", Predictive "PHSP" [3], [4], Dynamic "DHSP" [5], [6] and Reactive "RHSP" [7], [8]. The authors have also provided a general notation to the HSP Based on it, the suitable notation of the handled problem is the following:…”

Scheduling of flexible manufacturing systems: An ant colony optimization approach

“…Yih and Thesen [8] provided a semi-Markov decision model for a real-time scheduling problem to determine the sequence of parts within an FMS. Thesen and Lie [9], Shaw [10], Liang et al [11] and Chryssolouris et al [12] used simulation to acquire knowledge related to relationships between system attributes and performance of dispatching rules, while Talavage and Shodham [13] proposed a COMMAND framework, which combines capabilities of simulation and knowledge engineering to search for an e cient design and control strategy. Bengu [14], Kim and Kim [15] and Du e and Prabhu [16] presented a simulation-based approach.…”