Lean and Industry 4.0 mitigating common losses in Engineer-to-Order theory and practice: an exploratory study

被引:3
|
作者
Schulze, Felix [1 ]
Dallasega, Patrick [1 ]
机构
[1] Free Univ Bozen Bolzano, Fac Sci & Technol, Bolzano, Italy
关键词
Industry; 4; 0; Engineer-to-Order (ETO); Lean; Losses; Implementation; Project manufacturing; VISUAL MANAGEMENT; RFID TECHNOLOGY; SUPPLY CHAINS; CONSTRUCTION; IMPLEMENTATION; TIME; REDUCTION; SYSTEMS; DESIGN; IMPACT;
D O I
10.1007/s10696-023-09503-z
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Companies employing an Engineer-to-Order (ETO) manufacturing strategy often develop, design and produce complex goods in single or small batches based on an individual customer order. The increased complexity caused by project business multiplies the engineering, cost, and change management efforts that are often required, resulting in lost productivity and more non-value-adding activities. To improve efficiency and reduce losses, ETO organizations strive to implement Lean practices and Industry 4.0 (I4.0) technologies, but the relevant literature in ETO industrial context is more exploratory and contains less empirical data. Building on the preliminary work categorizing the common losses in ETO organizations, the study examined how these can be reduced by Lean and I4.0 practices. Current literature was analyzed, and empirical data was collected using a survey questionnaire and semi-structured interviews with 16 companies from the construction, shipbuilding, and machinery and plant manufacturing industries. The scientific literature was compared with the empirical data to find out whether Lean methods and I4.0 technologies are known in research but not applied in practice and vice versa. As a result, there are several practices from both domains applied in practice to reduce losses, but the analyzed literature indicates few successful implementations. Future research should aim to provide more empirical data on the application of Lean and I4.0 practices to mitigate losses in companies with an ETO strategy and provide best practices and guidelines.
引用
收藏
页码:780 / 820
页数:41
相关论文
共 12 条
  • [1] Industry 4.0 Concepts and Lean Methods Mitigating Traditional Losses in Engineer-to-Order Manufacturing with Subsequent Assembly On-Site: A Framework
    Schulze, Felix
    Dallasega, Patrick
    [J]. 30TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2021), 2020, 51 : 1363 - 1370
  • [2] Implementing Lean in Engineer-to-Order Industry: A Case Study
    Kjersem, Kristina
    Halse, Lise Lillebrygfjeld
    Kiekebos, Peter
    Emblemsvag, Jan
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE PRODUCTION MANAGEMENT TOWARDS SUSTAINABLE GROWTH (AMPS 2015), PT II, 2015, 460 : 248 - 255
  • [3] The Impact of Industry 4.0 on Supply Chains in Engineer-to-Order Industries - An Exploratory Case Study
    Mueller, Julian M.
    Voig, Kai-Ingo
    [J]. IFAC PAPERSONLINE, 2018, 51 (11): : 122 - 127
  • [4] Project Time Deployment: a new lean tool for losses analysis in Engineer-to-Order production environments
    Bertolini, Massimo
    Braglia, Marcello
    Marrazzini, Leonardo
    Neroni, Mattia
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2022, 60 (10) : 3129 - 3146
  • [5] INTERACTION BETWEEN LEAN PHILOSOPHY AND INDUSTRY 4.0: EXPLORATORY STUDY
    Santos, Beatrice Paiva
    Charrua-Santos, Fernando
    Lima, Tania Miranda
    [J]. IRF2018: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INTEGRITY-RELIABILITY-FAILURE, 2018, : 1047 - 1048
  • [6] Exploring the relationship between Project Cost Deployment and Industry 4.0 through an industrial application in an Engineer-to-Order environment
    Braglia, Marcello
    Di Paco, Francesco
    Frosolini, Marco
    Gabbrielli, Roberto
    Marrazzini, Leonardo
    [J]. 5TH INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, ISM 2023, 2024, 232 : 139 - 148
  • [7] Operationalizing lean principles for lead time reduction in engineer-to-order (ETO) operations: A case study
    Strandhagen, Jo W.
    Vallandingham, Logan R.
    Alfnes, Erlend
    Strandhagen, Jan Ola
    [J]. IFAC PAPERSONLINE, 2018, 51 (11): : 128 - 133
  • [8] Sales & operations planning: case study on the engineer-to-order production model in the entertainment industry
    Romao, Luciana de Oliveira Pedra
    Scavarda, Luis Felipe
    Seeling, Marcelo Xavier
    [J]. BRAZILIAN JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2021, 18 (03):
  • [9] Overall Construction Productivity: a new lean metric to identify construction losses and analyse their causes in Engineer-to-Order construction supply chains
    Braglia, Marcello
    Dallasega, Patrick
    Marrazzini, Leonardo
    [J]. PRODUCTION PLANNING & CONTROL, 2022, 33 (9-10) : 925 - 942
  • [10] Adaptation of the value stream mapping approach to the design of lean engineer-to-order production systems A case study
    Matt, D. T.
    [J]. JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2014, 25 (03) : 334 - 350