An integrated object model for activity network based simulation

Zülch, Gert; Fischer, J.; Jonsson, U.

doi:10.1109/wsc.2000.899741

Cited by 13 publications

(10 citation statements)

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“…Instead, a simulation tool is needed which allows access to the source code in order to implement new elements (like the decision) or new key figures. Therefore, AntControl tool was integrated into the object-based OSim simulation tool (Object Simulator; Jonsson 2000, Zu¨lch et al 2000 developed by ifab-Institute, which resulted in the creation of the OSim-Ant simulation tool. The basis of discrete event simulation tool OSim is a generic model for the simulation of production systems which has been developed by Jonsson (2000, p. 45).…”

Section: The Osim-ant Simulation Toolmentioning

confidence: 99%

Reactive manufacturing control using the ant colony approach

Stock

Zülch

2012

International Journal of Production Research

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Section: The Osim-ant Simulation Toolmentioning

confidence: 99%

Reactive manufacturing control using the ant colony approach

Stock

Zülch

2012

International Journal of Production Research

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“…However, this requires access to a corresponding personnel-centered simulation tool that can model complex work systems, including the interactions between staff and equipment, and assess them based on production, customer and personnelrelated performance indicators ( Figure 2). The OSim (Object Simulator) simulation tool, which was developed by the ifab-Institute of Human and Industrial Engineering of the Karlsruhe Institute of Technology (formerly the University of Karlsruhe, Germany) and first presented at the 2000 Winter Simulation Conference (Zülch, Fischer, and Jonsson 2000;see also Zülch 2006;, was used for the purposes of this feasibility study. OSim is an event-driven, time-discrete simulator that uses a predefined order program for the simulated production period and discrete object models for personnel and machine resources.…”

Section: Possibilities and Limitations Of Flexibization In Productionmentioning

confidence: 99%

Flexible work organization in manufacturing — A simulation-supported feasibility study

Zülch

Börkircher

2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

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This paper looks at the question of what conditions are required to make work organization in manufacturing more flexible. Therefore, we have derived hypotheses for the extent of flexibilization of manufacturing systems. In the foreground are various forms of working times and different skills of staff. The related hypotheses are tested using a personnel-centered simulation procedure as part of a feasibility study. This study is based on representative models of one-of-a-kind production, medium-scale and largescale series production. The simulation approach makes it possible to quantify the effects of flexible working times and staff assignments in addition to verifying the proposed hypotheses. FORMS OF FLEXIBILIZATION IN MANUFACTURINGThe flexibilization of the work organization in manufacturing may include a number of different aspects: They range from job rotation between under-loaded and over-loaded workplaces, the higher qualification and the subsequent employment of multi-skilled staff to demand-oriented flexible working hours. These measures can lead to advantages for the operation department and for the staff, but also to disadvantages. Regarding job rotation and the employment of multi-skilled staff advantages may lie in the timely processing of orders, while on the part of employees occasionally the increase of wages comes into play. The latter can then be seen as a disadvantage on the part of the business, while employees could see increased demands to be disadvantageous. Regarding the flexibilization of working hours, a discrepancy in interpretation is apparent in the discussion (Boulin, Lallement, Messenger, and Michon 2006;Burgoon, and Raess 2007). From the employer's perspective, the main objective is to use flexible working hours to combat fluctuations on the sales markets while avoiding increased labor costs as a result of increased wages for overtime. However, no deductions are made from wages during temporary periods with reduced workloads. It is therefore possible to talk about a settlement of interests, particularly at manufacturing companies, when long-term phases of increased or reduced work in response to the state of the economy are involved. In the service sector, on the other hand, it is usually a question of covering fluctuations in personnel capacity demand over the course of a day or a week, but also as a result of seasonal fluctuations in demand, that are known from past experience.These kinds of systems have become well-known as "flexitime". Particularly on short time scales, this can create conflicts with regard to finding a balance between work and private lives. Such conflicts are deleterious to the well-being of employees. Potential consequences include absenteeism or even poor health. The individual employee would ideally prefer a working time model based on his or her personal 978-1-4673-4781-5/12/$31.00 ©2012 IEEE

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“…This guideline summarizes the state of the art of modelling hu-mans in this application field. In the German-speaking countries, the development of personnel-oriented simulators had its origin in the 1980s, when personnel assignment at NC-controlled machines and in other automated manufacturing systems was recognized as a special problem area (Klauke 1980;Häußermann 1980;Zülch 2000).…”

Section: Development Of Personnel Simulatorsmentioning

confidence: 99%

Modelling and Simulation of Human Decision-Making in Manufacturing Systems

Zulch¹

2006

Proceedings of the 2006 Winter Simulation Conference

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The simulation of manufacturing processes mainly focuses on the structure of machinery resources and the flow of material, but the inclusion of the personnel in the simulation model is only slowly gaining in importance. When personnel resources are modelled, merely the operative tasks are represented. However, as a result of modern manufacturing concepts, worker decisions at a workshop level are becoming more and more important. This article deals with various concepts for the modelling of human decisions in manufacturing systems, namely from human decision makers as passive resources over the modelling of decisions based on global rules to the modelling of active decision makers with individual, locally valid decisionmaking rules. Each of these various types of modelling will be elucidated using an application example.

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An integrated object model for activity network based simulation

Cited by 13 publications

References 2 publications

Reactive manufacturing control using the ant colony approach

Reactive manufacturing control using the ant colony approach

Flexible work organization in manufacturing — A simulation-supported feasibility study

Modelling and Simulation of Human Decision-Making in Manufacturing Systems

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An integrated object model for activity network based simulation

Cited by 13 publications

References 2 publications

Reactive manufacturing control using the ant colony approach

Reactive manufacturing control using the ant colony approach

Flexible work organization in manufacturing &#x2014; A simulation-supported feasibility study

Modelling and Simulation of Human Decision-Making in Manufacturing Systems

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Flexible work organization in manufacturing — A simulation-supported feasibility study