A fuzzy approach for sequencing interrelated activities in a DSM

Lin, Jun; Qian, Yanjun; Yassine, Ali A.; Cui, Wentian

doi:10.1080/00207543.2011.648779

“…4 [16] evaluated the interdependence of projects by consulting professionals. Lin et al [17] assessed the degree of dependency between activities in the manner of interviewing experts and used triangular fuzzy numbers to digitize it. All these methods cannot be separated from human subjective evaluation.…”

Section: Coupling Strength Quantification Methodsmentioning

confidence: 99%

A heuristic configuration solving process planning method for mechanical product configuration by imitating the crystal crystallization process

Zhang

¹

,

Wenqi

²

,

Wang

³

et al. 2021

Int J Adv Manuf Technol

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Configuration design is a process of composing customized product from a set of predefined component types with a set of well-defined rules which decide how items can be selected and combined. The configuration solving process is to instantiate all component types into instances. However, the configurator faces a problem of how to determine the instantiation order of component types in the configuration solving process. An unreasonable instantiation order may reduce the accuracy of the configuration result and extend the time required to finish the configuration. In response to the above problem, a heuristic configuration solving process planning method by imitating the crystal crystallization process (CCP) was proposed. According to the product configuration rules, the frequent itemset mining algorithm was used to mine the correlation between the attribute parameters of product configuration unit. By imitating the CCP and utilizing the calculated coupling strength, the configurator will determine a suitable instantiation sequence for component types. This method has been applied in the GB10 elevator produced by Canny Elevator. It is found that the configuration accuracy has been improved and the consumption of time has been reduced.

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“…Srour et al 4 [16] evaluated the interdependence of projects by consulting professionals. Lin et al [17] assessed the degree of dependency between activities in the manner of interviewing experts and used triangular fuzzy numbers to digitize it. All these methods cannot be separated from human subjective evaluation.…”

Section: Coupling Strength Quantification Methodsmentioning

confidence: 99%

A heuristic configuration solving process planning method for mechanical product configuration by imitating the crystal crystallization process

Zhang

¹

,

Ge

²

,

Wang

³

et al. 2021

Preprint

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Configuration design is a process of composing customized product from a set of predefined component types with a set of well-defined rules which decide how items can be selected and combined. The configuration solving process is to instantiate all component types into instances. However, the configurator faces a problem of how to determine the instantiation order of component types in the configuration solving process. An unreasonable instantiation order may reduce the accuracy of the configuration result and extend the time required to finish the configuration. In response to the above problem, a heuristic configuration solving process planning method by imitating the crystal crystallization process (CCP) was proposed. According to the product configuration rules, the frequent itemset mining algorithm was used to mine the correlation between the attribute parameters of product configuration unit. By imitating the CCP and utilizing the calculated coupling strength, the configurator will determine a suitable instantiation sequence for component types. This method has been applied in the GB10 elevator produced by Canny Elevator. It is found that the configuration accuracy has been improved and the consumption of time has been reduced.

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“…The purpose of this program is to find the sequence of activities in such a way that the sum of the numbers of the uppermost diameter in the design matrix is minimized. Lin et al (2012) in their research suggests that systems with interactive activities need to organize and plan these activities for their own success, and that the design matrix as a tool for modeling and scheduling activities with interactions. Eppinger et al (1994Eppinger et al ( ,1991Eppinger et al ( ,2001 suggested that, in addition to the number of feedback, the feedback length may have a dramatic effect on time and cost.…”

Section: Literature Reviewmentioning

confidence: 99%

A model for minimizing feedback-length between activities of a project

Shahabadi

¹

,

Gheidar-Kheljani

²

,

Ghodsypour³

2021

JER is an international, peer-reviewed journal that publishes f

0

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Proper sequencing between activities has always been one of the major issues in project management. Sometimes it is needed to redo some activities especially in product development projects. It is assumed that one of the reasons for reworking some activities and backward can be due to the incompleteness of the information needed when doing them, and also assumed that having complete information requires cost. In this article, a network of activities is considered, which may require a duplication of the process due to the interdependence of information between them. In this paper, using the design structure matrix concept and interdependence between activities, a two-purpose model for determining the proper sequence of activities have been provided to minimize the length of feedback and reduce the cost of completing the information using matrix concept. To accurately solve this model, the combination Lexicographic and Augmented Epsilon Constraint is used to obtain the Pareto National Front, which shows an increase in the cost of reducing the degree of dependence between activities for reducing the feedback length between activities. From the Pareto front, the best answer was chosen in a way that, based on the economic justification of the project, the percentage of reduction in the feedback length would be higher than the percentage increase.

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A fuzzy approach for sequencing interrelated activities in a DSM

Cited by 21 publications

References 34 publications

A heuristic configuration solving process planning method for mechanical product configuration by imitating the crystal crystallization process

A heuristic configuration solving process planning method for mechanical product configuration by imitating the crystal crystallization process

A heuristic configuration solving process planning method for mechanical product configuration by imitating the crystal crystallization process

A model for minimizing feedback-length between activities of a project

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