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

Author(s):  
Maria Kollberg Thomassen ◽  
Erlend Alfnes ◽  
Erik Gran
2006 ◽  
Vol 44 (18-19) ◽  
pp. 3929-3952 ◽  
Author(s):  
M. Braglia ◽  
G. Carmignani ◽  
F. Zammori

2014 ◽  
Vol 25 (3) ◽  
pp. 334-350 ◽  
Author(s):  
D.T. Matt

Purpose – The purpose of this research is to examine relevant parts of the case of an Italian steel construction company's green field plant design process to identify best practice guidelines for the adaptation and use of value stream mapping (VSM) in the design of lean engineer-to-order (ETO) production systems. Design/methodology/approach – The paper reviews the most relevant literature in the field of VSM and discusses its limitations regarding the application in an ETO environment. Based on the analysis of an industrial case, the original VSM methodology is adapted with a special focus on ETO. Information was collected through multiple site visits and semi-structured interviews with the company's key staff of the project, as well as examination of relevant company documentations. Findings – A set of guidelines was developed on the basis of an industrial case research. In this context, major attention was given to two aspects: the introduction of synchronization points in front of merge-activities in the value stream, and the splitting of customer orders into suitable production orders and equal time increments of work. Research limitations/implications – The findings of this research are limited due to the focused nature of a case study-based research. However, the obtained results encourage assuming its transferability to similar problems. Originality/value – This paper provides an original industrial case study with valuable insights for the adaptation of the VSM methodology to batch-of-one ETO environment.


2021 ◽  
Vol 24 (1) ◽  
pp. 55-58
Author(s):  
Peter Tamas ◽  

An increase in the number of product types required by customers results in an increase in the complexity of logistics systems. This finding is particularly characteristic of production logistics systems, where the use of flexible production systems is becoming increasingly important. One of the defining tools for the development of these processes is the value process mapping method, a static version of which suitable for the simultaneous examination of a product family has become widespread in corporate practice. The paper presents the method of dynamic value stream mapping, which is also suitable for the examination of complex logistics systems, exploring its steps and the possibilities of its application in production logistics. An example prepared using the VSM module of the Plant Simulation framework is also presented to illustrate the application of the method.


2014 ◽  
Vol 13 ◽  
pp. S104
Author(s):  
C. Pitfield ◽  
A. Marote ◽  
M. Bryon ◽  
A. Prasad ◽  
R. Suri

2015 ◽  
Vol 27 (1) ◽  
pp. 24-48 ◽  
Author(s):  
Daniel Barberato Henrique ◽  
Antonio Freitas Rentes ◽  
Moacir Godinho Filho ◽  
Kleber Francisco Esposto

2021 ◽  
Vol 11 (11) ◽  
pp. 5291
Author(s):  
Tuan-Anh Tran ◽  
Tamás Ruppert ◽  
János Abonyi

The powerful combination of lean principles and digital technologies accelerates waste identification and mitigation faster than traditional lean methods. The new digital lean (also referred to as Lean 4.0) solutions incorporate sensors and digital equipment, yielding innovative solutions that extend the reach of traditional lean tools. The tracking of flexible and configurable production systems is not as straightforward as in a simple conveyor. This paper examines how the information provided by indoor positioning systems (IPS) can be utilised in the digital transformation of flexible manufacturing. The proposed IPS-based method enriches the information sources of value stream mapping and transforms positional data into key-performance indicators used in Lean Manufacturing. The challenges of flexible and reconfigurable manufacturing require a dynamic value stream mapping. To handle this problem, a process mining-based solution has been proposed. A case study is provided to show how the proposed method can be employed for monitoring and improving manufacturing efficiency.


Author(s):  
Dominik T. Matt ◽  
Erwin Rauch

This chapter reviews the state of the art in engineer-to-order production and non-repetitive production to give an overview of existing research and applications of Lean in this sector. Afterwards, a real case study at a medium-sized ETO manufacturer shows an approach to implement Lean Production in such a non-repetitive manufacturing environment. The experiences from the case study illustrate that the suitability of certain lean methods, such as value stream mapping or Kanban is limited, while other lean methods, such as 5S, CIP, or a material-oriented layout, brought significant changes. In the consolidation phase of the Lean production system, the authors defined a Lean-Toolset with the most suitable lean methods for engineer-to-order manufacturing systems. A core aspect of the Lean implementation was the desired mind-change of the employees. The chapter closes with a short description of the achieved results in the case study and gives an outlook to further research activities.


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