scholarly journals Industry 4.0 and lean management: a proposed integration model and research propositions

2018 ◽  
Vol 6 (1) ◽  
pp. 416-432 ◽  
Author(s):  
Michael Sony
Keyword(s):  
Industry 4.0 ◽  
Lean Management ◽  
Integration Model ◽  
Research Propositions

scholarly journals Lean 4.0 - A conceptual conjunction of lean management and Industry 4.0

Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 622-628 ◽  
Author(s):  
A. Mayr ◽  
M. Weigelt ◽  
A. Kühl ◽  
S. Grimm ◽  
A. Erll ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Lean Management

Logistics 4.0 Energy Modelling

2021 ◽  
pp. 436-460
Author(s):  
Megashnee Munsamy ◽  
Arnesh Telukdarie ◽  
Pavitra Dhamija
Keyword(s):  
Industry 4.0 ◽  
Energy Demand ◽  
Business Processes ◽  
Industrial Revolution ◽  
Ghg Emissions ◽  
Energy Model ◽  
Logistics Network ◽  
Model Based ◽  
Research Propositions ◽  
Energy Optimisation

Logistics activities are significant energy consumers and known contributors to GHG emissions, hence optimisation of logistics energy demand is of critical importance. The onset of the fourth Industrial revolution delivers significant technological opportunities for logistics optimisation with additional benefits in logistics energy optimisation. This research propositions a business process centric logistics model based on Industry 4.0. A Logistics 4.0 architecture is developed comprising Industry 4.0 technologies and associated enablers. The Industry 4.0 architecture components are validated by conducting a Systematic Literature Review on Industry 4.0 and logistics. Applying the validated Logistics 4.0 architecture to a cyber physical logistics energy model, based on the digitalisation of business processes, a comprehensive simulation is developed identified as the Logistic 4.0 Energy Model. The model simulates the technological impact of Industry 4.0 on a logistics network. The model generates energy and CO2 emission values for “as-is” and “to-be” Industry 4.0 scenarios.

scholarly journals Barriers and Enablers for the Integration of Industry 4.0 and Sustainability in Supply Chains of MSMEs

2021 ◽  
Vol 13 (21) ◽  
pp. 11664
Author(s):  
Eduardo Machado ◽  
Luiz Felipe Scavarda ◽  
Rodrigo Goyannes Gusmão Caiado ◽  
Antonio Márcio Tavares Thomé
Keyword(s):  
Supply Chains ◽  
Industry 4.0 ◽  
Group Discussions ◽  
Barriers And Enablers ◽  
Research Findings ◽  
Relevant Topic ◽  
Multimethod Approach ◽  
Research Propositions ◽  
Medium Enterprises ◽  
Relationship Of

The integration of Industry 4.0 (I4.0) and sustainability in supply chains emerged as a relevant topic and, therefore, has attracted the interest of academics and practitioners. Many barriers challenge this integration, and enablers to overcome these barriers need to be understood. Micro, Small & Medium Enterprises (MSMEs) have many difficulties to overcome these barriers and successfully implement this integration. Moreover, solutions for larger enterprises do not necessarily fit MSMEs, which reinforces the need to investigate the topic further. Within this context, the goals of this paper are: (i) to identify the main barriers and enablers to integrate I4.0 and sustainability in supply chains of MSMEs and (ii) to analyze the influence among these barriers and enablers, identifying the most prominent ones. A convergent parallel multimethod approach is adopted, first embracing a scoping review to identify main barriers, enablers, and associated categories. Then, conducting a panel of experts with 25 specialists in two rounds to refine and classify the identified barriers and enablers towards the perspective of MSMEs. Finally, two focus group discussions are added using the fuzzy logic and DEMATEL methods to obtain the inter-relationship of barriers and enablers for MSMEs. Research findings reveal eight barriers, eight enablers, and their respective cause-effect relationship, which are expected to help MSMEs managers and decision-makers better understand and implement the integration between I4.0 and sustainability in their supply chains. Results are discussed in eleven research propositions and four propositions for practitioners and policymakers.

scholarly journals INDUSTRY 4.0, LEAN MANAGEMENT AND ORGANIZATIONAL SUPPORT: A CASE OF SUPPLY CHAIN OPERATIONS

2020 ◽  
Vol 22 (1) ◽  
pp. 583-594
Author(s):  
Nguyen Cong Tiep ◽  
Thai Thi Kim Oanh ◽  
Tran Duc Thuan ◽  
Dinh Van Tien ◽  
Thai Van Ha
Keyword(s):  
Supply Chain ◽  
Organizational Support ◽  
Industry 4.0 ◽  
Lean Management

scholarly journals TESTING A FRAMEWORK FOR INDUSTRY 4.0 DIGITAL DISRUPTION-A STUDY IN MALAYSIAN SMES

2019 ◽  
Vol 5 (2) ◽  
pp. 179-184
Author(s):  
Sreenivasan Jayashree ◽  
C. A. Malarvizhi ◽  
Mohammad Nurul Hassan Reza
Keyword(s):  
Environmental Sustainability ◽  
Industry 4.0 ◽  
National Policy ◽  
Policy Framework ◽  
Integration Model ◽  
Melting Pot ◽  
Global Industry ◽  
Shift Behavior ◽  
Digital Disruption ◽  
To Come

Industry 4.0 has become a buzzword among the global industry and it is an amazing melting pot of disruptive technologies and is referred to as production-based industries digitalization transformation, driven by connected technologies. Malaysia is still ranging between industry 2.0 and 3.0 and unable to enter into the era of digital innovation whereas the neighboring countries are building bridges to connect to the era of Industry 4.0. The eleventh plan of Malaysia represents a crucial platform for Malaysian SMEs to create the essential strategy relocation and this research integrates Industry 4.0 and sustainability addressing the thrust area of digital Malaysia to shift behavior from being consumption- to production-centric using digital technologies. Due to the lack of an integration model of 4.0 and environmental sustainability, the actual advantages are not recognized by SMEs and the purpose of this research will help to come up with a national policy/framework on Industry 4.0.

scholarly journals Pivoting Lean Manufacturing through Industry 4.0 in the Indian Context

2019 ◽  
Vol 8 (2) ◽  
pp. 1-7
Author(s):  
Protik Basu ◽  
Pranab K. Dan
Keyword(s):  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Manufacturing Sector ◽  
Empirical Studies ◽  
Research Work ◽  
Production Model ◽  
Lean Management ◽  
Technological Developments ◽  
Indian Manufacturing Sector

Industry 4.0 and lean management both focus on increasing productivity of industrial systems. Industry 4.0 is foreseen to revolutionize today’s manufacturing environment whereas lean management is an integrated techno-operational system which has gained increasing importance in recent times to bring about a competitive state in an organization. Though in the last three decades there have been rigorous studies on lean manufacturing (LM), its implementation in the Indian manufacturing domain is still in its nascent stage. A lack of research to explore the potential use of Industry 4.0 is also noted. Research work on the compatibility of Industry 4.0 with LM is scarce and any study on the role of Industry 4.0 on LM in the Indian manufacturing sector is practically unavailable. The aim of this research is to explore how the fourth industrial revolution, referred to as Industry 4.0, can strategize LM in the Indian manufacturing context. Empirical studies have disclosed that Indian managers are hesitant to go for automation and technological developments. Results of this work reveal that there needs to be a change in attitude and approach. Lean implementers in India need to embrace Industry 4.0 to pivot LM by automating through Cyber-Physical Systems and creating a flexible design and production model of customized and smart products.

scholarly journals Industry 4.0 and Decision Making

2021 ◽  
pp. 400-405
Author(s):  
Frédéric Rosin ◽  
Pascal Forget ◽  
Samir Lamouri ◽  
Robert Pellerin
Keyword(s):  
Decision Making ◽  
Production System ◽  
Industry 4.0 ◽  
Production Systems ◽  
Lean Production ◽  
Management Training ◽  
Decision Making Process ◽  
Use Case ◽  
Lean Management ◽  
Different Types

AbstractIndustry 4.0 is an ubiquitous term that suggests significant impacts on the productivity and flexibility of production systems. But to what extent do the various technologies associated with Industry 4.0 contribute to enhance autonomy of operational teams by helping them make better and faster decisions, particularly in the context of Lean production system? This paper proposes a model of different types of autonomy in the decision-making process, depending on whether or not the steps in the decision-making process are enhanced by technologies. This model will be tested afterwards in a use case implemented in a learning factory offering Lean management training before being tested in a real production unit.

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