Task assignment with multiskilled employees and multiple modes for product development projects

Cheng, Hui; Chu, Xuening

doi:10.1007/s00170-011-3686-7

Cited by 18 publications

(10 citation statements)

References 25 publications

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“…ISO 9001 (2015) defined competence as the ability to apply one's knowledge and skills to achieve one's intended results. This definition Gong et al (2018); Moussavi, Mahdjoub, and Grunder (2018); Zhang, Tang, and Zhang (2018); Moussavi, Mahdjoub, and Grunder (2017); Oksuz, Buyukozkan, and Satoglu (2017); Rabbani, Akbari, and Dolatkhah (2017);Fattahi, Samoei, and Zandieh (2016); Li, Huang, and Niu (2016); Samouei et al (2016);Folgado, Pecas, and Henriques (2015); Ramezanian and Ezzatpanah (2015); Sotskov et al (2015); Öksüz and Satoğlu (2014); Denkena, Charlin, and Merwart (2013); Mutlu, Polat, and Supciller (2013); Zhang, Xu, and Gen (2013); Chen et al (2012); Cheng and Chu (2012); Zhang and Gen (2011); Thongsanit, Boondisakulchok, and Tharmmaphornphilas (2010); Süer and Tummaluri (2008); Weng and Onari (2008); Iima, Karuno, and Kise (2005); Gallwey (1992)…”

Section: Skillmentioning

confidence: 99%

Consideration of workers’ differences in production systems modelling and design: State of the art and directions for future research

Katiraee

Calzavara

Finco

et al. 2021

International Journal of Production Research

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The effects of workforce differences on manufacturing systems have attracted the attention of a wide range of researchers in recent years. The differences between workers in terms of skills, age, gender and anthropometric measures have a large impact on production system performance. In this study, the workforce differences factors in production system design and modelling were investigated, with the aim of understanding how the differences between workers could influence a production system and how they had been considered in previous studies. The papers selected from the Scopus database were categorised based on whether how human factors are incorporated into manufacturing system optimisation and design approaches is discussed therein or is not. To find relevant papers, two sets of keywords were defined: (1) keywords relating to the differences between workers and (2) keywords relating to the kind of problem under study. Furthermore, the investigated papers helped highlight the strengths and weaknesses of the existing literature and derive a discussion on the possible future research steps.

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Section: Skillmentioning

confidence: 99%

Consideration of workers’ differences in production systems modelling and design: State of the art and directions for future research

Katiraee

Calzavara

Finco

et al. 2021

International Journal of Production Research

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“…Obviously, it cannot reflect all the real situations of task assignment problem, especially for the complex product R&D project under uncertainty. Considering that the duration of a task carried out by different employees varies, Cheng and Chu [17] used the fuzzy system theory to represent the duration of each task by fuzzy numbers. Zhang and Su [18] used fuzzy variables to describe processing time by introducing a fuzzy triangular number, and they pointed that different teams vary in their knowledge and abilities, so the execution time is different for each team when they carry out each task.…”

Section: Related Workmentioning

confidence: 99%

A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge

Wang

Liu

et al. 2020

Complexity

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For the product R&D process, it is a challenge to effectively and reasonably assign tasks and estimate their execution time. This paper develops a method system for efficient task assignment in product R&D. The method system consists of three components: similar tasks identification, tasks’ execution time calculation, and task assignment model. The similar tasks identification component entails the retrieval of a similar task model to identify similar tasks. From the knowledge-based view, the tasks’ execution time calculation component uses the BP neural network to predict tasks’ execution time according to the previous similar tasks and the Task–Knowledge–Person (TKP) network. When constructing the BP neural network, the satisfaction degree of knowledge and the execution time are set as the input and output, respectively. Considering the uncertain factors associated with the whole R&D process, the task assignment model component serves as a robust optimization model to assign tasks. Then, an improved genetic algorithm is developed to solve the task assignment model. Finally, the results of numerical experiment are reported to validate the effectiveness of the proposed methods.

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“…Problem 2 (Performance-constrained dependency optimization) Given cost functions f σ,ij , a constant > 0, and a required performance r ∈ [0, 1), find the new DSMs and IDMs that minimize the cost C (19) while satisfying the constraints (20) and (21) as well as the following requirement on the feasibility index:…”

Section: Problem Formulationmentioning

confidence: 99%

Resource optimization of product development projects with time-varying dependency structure

et al. 2019

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Project managers are continuously under pressure to shorten product development durations. One practical approach for reducing the project duration is lessening dependencies between different development components and teams. However, most of the resource allocation strategies for lessening dependencies place the implicit and simplistic assumption that the dependency structure between components is static (i.e., does not change over time). This assumption, however, does not necessarily hold true in all product development projects. In this paper, we present an analytical framework for optimally allocating resources to shorten the lead-time of product development projects having a timevarying dependency structure. We build our theoretical framework on a linear system model of product development processes, in which system integration and local development teams exchange information asynchronously and aperiodically. By utilizing a convexity result from the matrix theory, we show that the optimal resource allocation can be efficiently found by solving a convex optimization problem. We provide illustrative examples to demonstrate the proposed framework. We also present boundary analyses based on major graph models to provide managerial guidelines for improving empirical PD processes.

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Task assignment with multiskilled employees and multiple modes for product development projects

Cited by 18 publications

References 25 publications

Consideration of workers’ differences in production systems modelling and design: State of the art and directions for future research

Consideration of workers’ differences in production systems modelling and design: State of the art and directions for future research

A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge

Resource optimization of product development projects with time-varying dependency structure

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