Forming effective worker teams for cellular manufacturing

Askin, Ronald G.; Huang, Yuanshu

doi:10.1080/00207540110040466

Cited by 82 publications

(62 citation statements)

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“…In continue, Gel et al (2000) showed that cross-trained workers can achieve higher performance than normal workers. As a different point of view, Askin and Huang (2001) studied the performance of greedy, beam search, and simulated annealing for a multi-objective optimization model for the formation of worker teams and a cross-training plan for cellular manufacturing. Olorunniwo and Udo (2002) showed that top management role and employee cross-trained have significant impact on the successful implementation of CMS.…”

Section: Cross-trained Workersmentioning

confidence: 99%

Review evolution of cellular manufacturing system’s approaches: Human resource planning method

Delgoshaei¹,

Delgoshaei²,

Ali³

2019

10.5267/j.jpm

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This paper presents a review of human resource planning methods, related techniques, and their effects on cellular manufacturing systems (CMS). In-depth analysis has been conducted through a review of 43 dominant research papers available in the literature. The advantages, limitations, and drawbacks of material transferring methods have been discussed as well. The domains of the examined studies include some of the important problems in staff planning, such as worker assigning, hiring and firing, optimum number of workers, skilled workers, cross-functional experts, worker satisfaction and outsourcing. The results of this study can fill research gaps and clarify many related questions in CMS problems.

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Section: Cross-trained Workersmentioning

confidence: 99%

Review evolution of cellular manufacturing system’s approaches: Human resource planning method

Delgoshaei¹,

Delgoshaei²,

Ali³

2019

10.5267/j.jpm

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“…A major assumption made in this model was that each different skill has only one level rather than multiple levels for each skill. They later extended their own work to examine not only the formation of worker teams, also the specification of cross-training plans for workers in cellular design (Askin and Huang, 2001). In this work, the worker skill level was considered to be a binary variable i.e., 1 if the worker possesses the skill; 0 otherwise.…”

Section: Literature Review and Backgroundmentioning

confidence: 99%

“…VCMS does not prompt any reconfiguration of the existing layouts in the company while enjoying the benefits associated with traditional CMS (Slomp et al, 2005-a). It is reported that research works on VCMS focused predominantly on machine related sources and issues including material handling aspects while worker related aspects are almost neglected (Slomp et al, 2005-a;Gert Nomden et al, 2006) with a few exceptions (Min and Shin, 1993;Süer, 1996;Askin, and Huang, 2001;Suresh,and Slomp, 2005). Another effort (Suresh and Gerard, 2000) has emphasized the importance of considering workers as a second constraining resource in VCMS environments.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural networks based predictive model for worker assignment into virtual cells

Mural¹,

Puri²,

Prabhakaran³

2010

Int. J. Eng. Sci. Tech

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Virtual cellular manufacturing systems (VCMS) have come into existence, replacing traditional cellular manufacturing systems (CMS), to meet highly dynamic production conditions in terms of demand, processing times, product mix and processing sequence. While cell formation phase of VCMS has been dealt quite voluminously, worker assignments phase has gained momentum recently after researchers started realizing the importance of workers' role during implementation of cell-based manufacturing. In the past, worker assignments have been analyzed with development of various heuristics/mathematical models in order to achieve reduced worker costs, improved productivity and quality, effective utilization of workforce and providing adequate levels of worker flexibility. In this paper, a new approach based on artificial neural networks (ANNs) has been proposed to assign workers into virtual cells since ANNs have the ability to model complex relationships between inputs and outputs and find similar patterns effectively. A framework of multilayered perceptron with feed forward (MLP-FF) neural network has been formulated on worker assignment for VCMS under dual resource constrained (DRC) context and its performance under two cell configurations with different time periods is analyzed. A worker assignment model has been developed and applied with cell formation solutions available in the literature in order to generate simulated datasets that drive the training process of proposed ANN framework.

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“…A functional arrangement of tasks was assumed in each cell without considering training and multi functionality problems. Askin and Huang (2001) focused on the relocation of workers into cells and the training needed for effective CMSs. They proposed a mixed integer goal-programming model for guiding the worker assignment and training process.…”

Section: Suresh and Slomp 2005b √ Simulation-basementioning

confidence: 99%

A survey on formation of virtual cellular manufacturing systems (VCMSs) and related issues

Hamedi¹,

Esmaeilian²,

Ismail³

et al. 2012

Sci. Res. Essays

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In an environment with fluctuating demand and unpredictable parts mix compositions, the efficiency of cellular systems necessitates the use of virtual cells. Virtual cellular manufacturing systems (VCMSs) are based on a highly flexible manufacturing concept designed to improve the performance of classical cellular manufacturing systems (CMSs) and job shop manufacturing environment by creating virtual grouping the resources temporarily in the production planning and control system. The underlying concept is particularly valuable during high demands variety and variability and with increase in machines types required by parts for processing. Whereas researches on VCMSs are still in a preliminary stage, this concept has gained momentum during the last decade and a wide and diverse variety of solution techniques have been applied for solving part-machine cell formation problems in these systems. The aim of this paper is to provide a review on recent efforts and developments in the VCMSs area to make required comparisons among the published works and determine future research issues and high-impact research scopes to search more. In this study, the overview was on various criteria in detail. While already a few researchers tended to make surveys over VCMSs, some important criteria were neglected to review and consider, which this paper tried to cover them as a complementary and an updated version.

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Forming effective worker teams for cellular manufacturing

Cited by 82 publications

References 0 publications

Review evolution of cellular manufacturing system’s approaches: Human resource planning method

Review evolution of cellular manufacturing system’s approaches: Human resource planning method

Artificial neural networks based predictive model for worker assignment into virtual cells

A survey on formation of virtual cellular manufacturing systems (VCMSs) and related issues

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