A New Value Stream Mapping Approach for Engineer-to-Order Production Systems

Thomassen, Maria Kollberg; Alfnes, Erlend; Gran, Erik

doi:10.1007/978-3-319-22759-7_24

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…Only a small proportion of the identified papers is empirical. Thomassen et al. (2014) propose an approach for decision support to select automation technologies based on action research methodology.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards a contingency theoretic perspective on technology pre-adoption in supply chain management

Selensky

2022

IJLM

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PurposeEmerging technologies and the concept of Industry 4.0 are on the rise. Thus, available solutions for SCM get more complex and dynamic. Technology adoption is crucial for organizations competitiveness, but resources are limited. Therefore, this paper aims to gain insights into the successful management of technology pre-adoption in SCM.Design/methodology/approachIn-depth polar case studies of technology pre-adoption initiatives in various industries were collected using an interview-based approach. Subsequently, the paper deploys transcript coding on the data to analyze information within and across the cases. Lastly, utilizing contingency theory, supply chain-specific influencing factors and corresponding management practices were identified.FindingsThe research reveals eight contingency dimensions and corresponding variables that influence the design of successful technology pre-adoption in SCM (e.g. complexity and criticality). Moreover, ten response variables were identified, referring to the pre-adoption process or organization. They systemize possible options when conducting technology pre-adoption initiatives.Research limitations/implicationsThe paper contributes to research by systemizing potential influencing factors and responses of technology pre-adoption through an explorative, empirical study. The paper is limited by its qualitative approach and the number of case studies conducted.Practical implicationsThe results provide supply chain managers a guideline for analyzing potential influences on the technology pre-adoption process and propositions how to manage pre-adoption accordingly.Originality/valueThis research is among the first to provide in-depth insights into technology pre-adoption from an organization's perspective considering supply chain-specific contingencies. Also, it introduces a new perspective on technology selection as a management process.

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Section: Literature Reviewmentioning

confidence: 99%

Towards a contingency theoretic perspective on technology pre-adoption in supply chain management

Selensky

2022

IJLM

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“…Most of the practices that traditionally go under the umbrella of lean (Shah and Ward, 2003, 2007) does not fit volatile and variable contexts, while they need to be redesigned leading to completely new or hybrid lean practices (Bertolini et al , 2017; Braglia et al , 2006; Hopp and Spearman, 2004; Jina et al , 1997; Thomassen et al , 2015). Thanks to these hybrid and redesigned lean practices, non-repetitive companies are still able to reduce wastes and to improve their processes (Thürer et al , 2012), which is the ultimate goal of lean.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Do repetitive and non-repetitive companies equally benefit from Lean 4.0?

Cifone

Staudacher

2021

JMTM

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PurposeThe integration between the traditional lean management and Industry 4.0, namely called Lean 4.0, is under the spotlight of both academia and practitioners. While we agree on the benefits Lean 4.0 may bring to companies performance, we still lack a deep understanding of the characteristics of this paradigm, such as its effective application space. Recalling traditional lean better suits repetitive companies, we are keen to understand whether the anew Lean 4.0 will enlarge its application space.Design/methodology/approachWe performed an exploratory study, using a quantitative analysis based on Bayesian network approach to investigate whether Lean 4.0 results to be as effective in repetitive companies as in non-repetitive ones, in terms of operational performance.FindingsWhile our findings confirm that Lean 4.0 will enhance companies' performance regardless their production strategies, companies adopting a repetitive strategy do benefit from a much higher improvement. Our findings provide an insight on the true applicability space of Lean 4.0, which seems to be the same as the traditional lean.Originality/valueWe contribute to the ongoing debate of Lean 4.0 providing initial empirical evidence on how to improve the operational performance in non-repetitive companies, seeing that Lean 4.0 might not be the best choice in its current format.

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“…Creating a value flow graphically involves much less information about the production process than would be required. Information relating to the manufacturing process: cycle time, tact time, sequence of operation, lead time, production capacity, workload, working time, number of shifts, inventory and inputs data: order of customer, supply schedules are precisely defined to provide the information which is needed to analyse the current state and create a future map of the value flow [8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Digital Value Stream Mapping Using the Tecnomatix Plant Simulation Software

Trebuňa¹,

Pekarčíková²,

Edl³

2019

Int. j. simul. model.

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Value Stream Mapping is a common and widely used method of industrial engineering. It creates a comprehensive overview of the possibilities of improving the production flow of the company as a whole and eliminates the introduction of incremental measures that would reduce the flexibility of the system as a whole. This article presents a method for optimizing material and information flows in a production company in the context of the Industry 4.0. The aim of the article is to emphasize the potential of software tools in synergy with the classical tool of lean manufacturing -Value Stream Mapping (VSM). For this purpose, the case study is focused on digital VSM in environment of the simulation software TX Plant Simulation. The transformation of the classical digital approach allows dynamic evaluations based on real discrete simulation of events and a simple evaluation of optimized variants.

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A New Value Stream Mapping Approach for Engineer-to-Order Production Systems

Cited by 8 publications

References 9 publications

Towards a contingency theoretic perspective on technology pre-adoption in supply chain management

Towards a contingency theoretic perspective on technology pre-adoption in supply chain management

Do repetitive and non-repetitive companies equally benefit from Lean 4.0?

Digital Value Stream Mapping Using the Tecnomatix Plant Simulation Software

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