Simulation of personnel requirements during production ramp-up

Lanza, Gisela; Sauer, Anna

doi:10.1007/s11740-012-0394-6

Cited by 18 publications

(6 citation statements)

References 9 publications

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“…The authors showed that frequent restructuring of the production line helps to fit the production output to the demand rate, which reduces inventory in the system; however, a trade-off between inventory carrying cost and set-up cost has to be considered. Lanza and Sauer (2012) proposed a simulation-based approach for determining worker requirements during different phases of the ramp-up. The authors assumed that production errors occur randomly during the ramp-up and that workers are required for solving these errors.…”

Section: Worker Assignmentmentioning

confidence: 99%

“…Our literature sample contains only two works that used simulation (Couretas et al 2001;Lanza and Sauer 2012). We note that employing feature-rich simulation approaches that consider various ramp-up process characteristics can be promising from a methodological point of view and contribute to generate further insights into the complexities of production ramp-ups.…”

Section: Research Opportunitiesmentioning

confidence: 99%

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Decision support models for production ramp-up: a systematic literature review

Glock

Grosse

2015

International Journal of Production Research

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Production ramp-up is a critical step in the life cycle of a new product, and efficiently managing ramp-ups is a key to business success and market leadership. To support the planning of ramp-ups in practice, researchers have developed decision support models in the past that help to solve problems that arise during the ramp-up phase, such as lot sizing, the assignment of workers to workplaces or the determination of the capacity of the production equipment. Decision support models for production ramp-up typically consider the specific characteristics of this phase, such as uncertainty, growth in demand, worker learning or imperfect production processes. The aim of this paper is to provide a comprehensive overview of decision support models for production ramp-up and to identify areas where more research is needed. First, the paper develops a conceptual framework of production ramp-up by categorising typical planning problems and process characteristics of the ramp-up phase. Secondly, a systematic literature review with a focus on mathematical planning models for the ramp-up phase is conducted. The analysis shows that various decision support models that help to realise an efficient production ramp-up exist, but that there are still many opportunities for future research in this area.

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Section: Worker Assignmentmentioning

confidence: 99%

Section: Research Opportunitiesmentioning

confidence: 99%

Decision support models for production ramp-up: a systematic literature review

Glock

Grosse

2015

International Journal of Production Research

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“…1 To keep up with the evolving technological, social and market paces, companies are confronted with the need for frequent ramp-ups to move from product development to stable production. 2 Ramp-up activities are, however, challenged by increasing product and process complexities resulting from an increasingly diverse offering. When manufacturing companies launch a new product into the market, they not only need to think about the time-to-market as their key measure of success but also take into account the time-to-volume, time-to-quality and time-to-cost required to satisfy their customers' expectations.…”

Section: Introductionmentioning

confidence: 99%

Developing a Multi-Agent System to Support Multi-Variant Production Ramp-Up Management

Medini

Romero

Wuest

2021

Smart and Sustainable Manufacturing Systems

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In the Industry 4.0 era, with increased demands for customization, numerous companies struggle to accommodate changes in their businesses and to keep up with the pace of digital transformation. It follows that introducing new products or services based on an existing configuration or a new design is becoming more frequent. Managing the production ramp-up phase carefully is therefore emerging as one of the most critical steps in the product lifecycle. Although several general strategies and high-level frameworks are available in recent ramp-up management literature, data-backed tools and frameworks that deal with this question are scarce. This article aims to bridge this gap by developing a multi-agent system (MAS) supporting ramp-up management strategies assessment in multi-variant production contexts. An MAS relies on the concept of an agent, which is an autonomous entity operating in a society of agents in order to contribute to a general goal. This article studies the method used to develop an MAS and illustrates its applicability through a case study in the furniture sector. The article highlights the reusability and flexibility of the development method and the relevance of the MAS to decision-makers during ramp-up planning.

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“…As a result, frequent production and service introduction into the market and increasingly varied offerings has become key features of nowadays industry. However, successfully introducing products into markets is not an easy task particularly in high variety production [1] [2]. More specifically, the shift from prototype development to stable production is a critical phase entailing high uncertainty and lack of relevant information to take proper decisions [3][4].…”

Section: Introductionmentioning

confidence: 99%

A Model for Cost-Benefit Analysis of Production Ramp-up Strategies

Medini

Pierné

Erkoyuncu

et al. 2020

IFIP Advances in Information and Communication Technology

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Production ramp-up is a critical step in product life cycle as it could lead to either success or failure of product introduction into the market. The criticality of this step is owed to several factors including the uncertainty underlying this step regarding both expected costs and benefits, and thus to the complexity of decision-making. In order to enlighten decision makers particularly in multivariant production contexts, this paper elaborates on an analytical model supporting cost-benefit analysis of production ramp-up strategies. The model takes into account capacity planning decisions and learning curves in determining cost-benefit estimates. The model is illustrated and discussed through a keyrings manufacturing process.

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Simulation of personnel requirements during production ramp-up

Cited by 18 publications

References 9 publications

Decision support models for production ramp-up: a systematic literature review

Decision support models for production ramp-up: a systematic literature review

Developing a Multi-Agent System to Support Multi-Variant Production Ramp-Up Management

A Model for Cost-Benefit Analysis of Production Ramp-up Strategies

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