Planning and Scheduling System for Make-To-Order Production

Toivonen, Ville; Ikkala, Kimmo; Niemi, Esko; Korhonen, Ari

doi:10.1016/s0007-8506(07)60466-1

Cited by 7 publications

(2 citation statements)

References 8 publications

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“…In symbiotic HRC assembly, real-time planning and scheduling play a key role in the generation of a plan and its robust execution [186]. Indeed, in comparison to the planning and scheduling problems of fully automated systems [184,230], the presence of the human in the loop introduces a temporal and controllable uncertainty. On one hand, the time required to execute a task by a human is not predefined and depends on the expertise of the worker, on his/her state of health, attention and fatigue.…”

Section: Task Planning and Schedulingmentioning

confidence: 99%

Symbiotic human-robot collaborative assembly

et al. 2019

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In human-robot collaborative assembly, robots are often required to dynamically change their pre-planned tasks to collaborate with human operators in a shared workspace. However, the robots used today are controlled by pre-generated rigid codes that cannot support effective human-robot collaboration. In response to this need, multi-modal yet symbiotic communication and control methods have been a focus in recent years. These methods include voice processing, gesture recognition, haptic interaction, and brainwave perception. Deep learning is used for classification, recognition and context awareness identification. Within this context, this keynote provides an overview of symbiotic human-robot collaborative assembly and highlights future research directions.

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Section: Task Planning and Schedulingmentioning

confidence: 99%

Symbiotic human-robot collaborative assembly

et al. 2019

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“…Because of this characteristic, OKP requires more flexibility to plan production resources for work centres. Regarding OKP production planning, the research places the emphasis on job sequencing and scheduling (Markland et al 1990, Kolisch 2000, Kolisch and Hess 2000, Soman et al 2006, Toivonen et al 2006. As to our knowledge, we are not aware of any literature that meaningfully addresses operator allocation planning on a RPL-OKP.…”

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confidence: 99%

Operator allocation planning for reconfigurable production line in one-of-a-kind production

Luo

et al. 2011

International Journal of Production Research

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In a one-of-a-kind production (OKP) company, the operation routing and processing time of an order are usually different from the others due to high customisation. As a result, an OKP company needs to dynamically adjust the production resources to keep the production lines reconfigurable. Through a proper assignment of operators in different sections of a production line, bottlenecks and operator re-allocation during production can be reduced effectively. In this paper, a mathematical model is introduced for optimal operator allocation planning on a reconfigurable production line in OKP. The optimisation objectives are to minimise the total number of the operators, total job earliness and tardiness, and the average work-in-process storage. A branchand-bound algorithm with efficient pruning strategies is developed to solve this problem. The proposed model and the algorithm are empirically validated by using the data of a windows and doors manufacturing company. A software system based on the proposed approach has been implemented in the company.

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