Process planning for collaborative product development with CD-DSM in optoelectronic enterprises

Wang, Tianri; Guo, Sen; Sarker, Bhaba R.; Li, Yibing

doi:10.1016/j.aei.2011.10.004

Cited by 11 publications

(6 citation statements)

References 28 publications

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“…Integration of the hierarchical production decision-making is necessary before considering a further optimization of manufacturing decisions because different entities interconnect collaboratively and numerous trade-offs exist [25]. To this end, a nonlinear model was presented for defining new operating points to increase productivity in a static manufacturing environment [26]. However, typical production ambiences are full of dynamics such as machine breakdown and emergency orders which bring great difficulties to work out the optimal plans and schedules [27].…”

Section: Advanced Production Planning and Scheduling (Apps)mentioning

confidence: 99%

A two-level advanced production planning and scheduling model for RFID-enabled ubiquitous manufacturing

Zhong

Huang

Lan

et al. 2015

Advanced Engineering Informatics

116

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Section: Advanced Production Planning and Scheduling (Apps)mentioning

confidence: 99%

A two-level advanced production planning and scheduling model for RFID-enabled ubiquitous manufacturing

Zhong

Huang

Lan

et al. 2015

Advanced Engineering Informatics

116

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“…Some of these research studies focused on task identification, task relationship analysis and task scheduling based on Petri Nets[1] and Design Structure Matrix (DSM)[2–3]. Other research studies focused on the establishment of a task and resource dynamic scheduling optimization model and a model solution based on heuristic algorithm[4] and intelligent algorithm, such as the Genetic Algorithm[5], Ant Colony Optimization[6], Particle Swarm Optimization[7], Artificial Bee Colony[8].…”

Section: Introductionmentioning

confidence: 99%

An empirical study of collaborative capacity evaluation and scheduling optimization for a CPD project

Wang

Tsai

et al. 2018

PLoS ONE

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In a collaborative product design project, reasonable resource allocation can shorten the development cycle and reduce cost. Team capacity evaluation and a task-team scheduling model are presented. A collaborative team capacity model is constructed, and a 2-tuple linguistic method is used to evaluate the capacity of collaborative teams. Next, the matching degree between design task and collaborative team is defined. A collaborative product design scheduling model considering task-team matching is developed. Combined with the simulated annealing operator, based on the single-coding strategy, self-adaptive multi-point cross and mutation, an improved genetic algorithm is proposed to solve the model. Finally, a case study is presented to validate the method.

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“…About task and resource allocation of collaborative design, some researches focused on task identification, analysis of task relationships and task scheduling based on Petri net [1] and design structure matrix (DSM) [2]. Some of other researches focused on establishing the scheduling optimization model for collaborative design and model solution algorithms [3,4,5,6].…”

Section: Introductionmentioning

confidence: 99%

Scheduling Model and Algorithm for Collaborative Product Design Based on MD

Wang¹,

He²,

Xu³

2015

Proceedings of the 4th International Conference on Information Technology and Management Innovation

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In order to improve the efficiency of collaborative product design, project task and team should be allocated and scheduled reasonably. Firstly, the matching degree between task and team was defined. Then, trading-off project duration and cost, multi-objective scheduling model of collaborative product design based on matching degree was established, and the improved genetic algorithm was redesigned to solve the scheduling model. Through an example of collaborative design, the feasibility and validity of the proposed model and algorithm were verified. Simulation result shows that the algorithm has advantages in precision and convergence speed.

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Process planning for collaborative product development with CD-DSM in optoelectronic enterprises

Cited by 11 publications

References 28 publications

A two-level advanced production planning and scheduling model for RFID-enabled ubiquitous manufacturing

A two-level advanced production planning and scheduling model for RFID-enabled ubiquitous manufacturing

An empirical study of collaborative capacity evaluation and scheduling optimization for a CPD project

Scheduling Model and Algorithm for Collaborative Product Design Based on MD

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