Personnel planning in concurrent engineering: A case study

Stahl, Juergen; Luczak, Holger

doi:10.1002/(sici)1520-6564(200024)10:1<23::aid-hfm2>3.0.co;2-s

Cited by 7 publications

(8 citation statements)

References 16 publications

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“…Landau and Rohmert (1987) state that the structural analysis of work in its elements leads to tasks, which in turn consist of actions. According to Campion and Medsker (1992), "a task is a set of actions performed by a worker that transforms inputs into outputs through the use of tools, equipment, or Figure 1 The concept of integrated job design and personnel planning in concurrent engineering (Stahl & Luczak, 2000). work aids."…”

Section: Requirements With Respect To the Object Of Descriptionmentioning

confidence: 99%

“…In case two or more experts rated a job element at least "partially relevant for production system" and "partially suited to deduce KSA requirements," it was added to the library. As all job elements were rated in detail later by a large number of experts with respect to required abilities (Stahl, 1998;Stahl & Luczak, 2000), this expert rating was considered as a pre-rating to reduce the necessary effort.…”

Section: Job Descriptor Concept Based On the Paqmentioning

confidence: 99%

“…Figure 4 shows the elements and the relations of the Space notation (cf. Stahl & Luczak, 2000). Atomic blobs are defined as job descriptors, and are represented by a hairline rectangle.…”

Section: Modeling Concept Based On Harel's Hi-graphsmentioning

confidence: 99%

“…In CE, personnel planning for the design phase (i.e., staffing CE teams) has always been an important issue, but personnel planning in manufacture has been largely neglected. An analysis of the various activities and information flow has shown that personnel planning is strongly linked with job design, and that this is the key for determining personnel requirements (Stahl & Luczak, 1996). Hence both tasks-job design and personnel planning-have been integrated by developing a method called Space (Design of Work Systems and Personnel Allocation in Concurrent Engineering).…”

Section: Introductionmentioning

confidence: 99%

“…Hence both tasks-job design and personnel planning-have been integrated by developing a method called Space (Design of Work Systems and Personnel Allocation in Concurrent Engineering). The basic concepts of this method have already been introduced in Stahl and Luczak (2000), with a focus on the personnel planning aspect. This paper focuses on the job design aspect of Space.…”

Section: Introductionmentioning

confidence: 99%

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A method for job design in concurrent engineering

2000

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Section: Requirements With Respect To the Object Of Descriptionmentioning

confidence: 99%

Section: Job Descriptor Concept Based On the Paqmentioning

confidence: 99%

“…Figure 4 shows the elements and the relations of the Space notation (cf. Stahl & Luczak, 2000). Atomic blobs are defined as job descriptors, and are represented by a hairline rectangle.…”

Section: Modeling Concept Based On Harel's Hi-graphsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A method for job design in concurrent engineering

2000

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An integrated methodology for manufacturing systems design using manual and computer simulation

Paquet

Lin

2003

Hum Ftrs & Erg Mfg Svc

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Traditional approaches to manufacturing systems design utilize a sequential procedure that focuses on production capacity requirements, with human operator task design developed late in the systems design phase. Implementing manufacturing systems in this way is difficult when operations management must design flexible and efficient processes, with an often incomplete understanding of how people can best perform within the system. This study developed an integrated methodology that uses both manual and computer simulations to evaluate system performance and ergonomic issues early in the system design process. Information about operator performance and ergonomics is obtained in the manual simulations, while estimates of operator utilization and system throughput is obtained through computer simulations. An iterative design process is used, with the results of manual and computer simulations informing each other during subsequent simulations. An industrial case study is presented here to demonstrate the effectiveness of this methodology. The results show that the methodology can be used to design manufacturing systems with significant savings in labor cost and improved manufacturing system flexibility.

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Competency‐based IT personnel selection using a hybrid SWARA and ARAS‐G methodology

Dahooie

Abadi

Vanaki

et al. 2017

Hum Ftrs & Erg Mfg Svc

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In the knowledge economy, human capital is a key factor in any organization to achieve a sustainable competitive advantage. Thus, selection of competent personnel is the most important function of human resource managers. However, because of a wide range of criteria and organizational factors that affect the process, personnel selection is often regarded as a complex problem that can be answered through multicriteria decision-making (MCDM) procedures. Despite the great importance of determining a comprehensive set of criteria, it has not gained enough attention in the literature. This study presents a competency framework with five criteria for choosing the best information technology (IT) expert from five alternatives. The stepwise weight assessment ratio analysis (SWARA) and grey additive ratio assessment (ARAS-G) methods are also used to derive the criteria weights and provide the final alternative, respectively. The results reveal that subject competency is the major criteria in IT personnel selection.

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Personnel planning in concurrent engineering: A case study

Cited by 7 publications

References 16 publications

A method for job design in concurrent engineering

A method for job design in concurrent engineering

An integrated methodology for manufacturing systems design using manual and computer simulation

Competency‐based IT personnel selection using a hybrid SWARA and ARAS‐G methodology

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