Industry 4.0 and how purchasing can progress and benefit from the fourth industrial revolution

Since its’ announcement in 2011, the number of scientific publications on Industry 4.0 is growing exponentially. Significant investments by industrial firms, at present and planned for the coming years, indicate the expectations by the industry in terms of increased productivity because of the fourth industrial revolution. However, the link between purchasing and Industry 4.0 is largely lacking in scientific literature, despite the high financial impact of procurement for organizations. The fourth industrial revolution – cyber-physical systems with autonomous machine-to-machine communication – could enable several possibilities for purchasing. On the one hand support systems for purchasers are conceived, such as contract analysis software. On the other hand, the scenario of digital negotiations emerges, which could revitalize e- marketplaces. Operative processes can act autonomously, with automated demand identification in cyber-physical systems. In order to support the development of I4.0 strategies in purchasing, this paper further contributes by presenting the result of a project on developing a specific purchasing I4.0 maturity model

Developing an Artificial Intelligence Framework to Assess Shipbuilding and Repair Sub-Tier Supply Chains Risk

The defense shipbuilding and repair industry is a labor-intensive sector that can be characterized by low-product volumes and high investments in which a large number of shared resources, technology, suppliers, and processes asynchronously converge into large construction projects. It is mainly organized by the execution of a complex combination of sequential and overlapping stages. While entities engaged in this large-scale endeavor are often knowledgeable about their first-tier suppliers, they usually do not have insight into the lower tiers suppliers. A sizable part of any supply chain disruption is attributable to instabilities in sub-tier suppliers. This research note conceptually delineates a framework that considers the elicitation of the existing associations between suppliers and sub-tier suppliers. This framework, Shipbuilding Risk Supply Chain (Ship-RISC), offers a simulation framework to leverage real-time and data using an Industry 4.0 approach to generate descriptive and prescriptive analytics based on the execution of simulation models that support risk management assessment and decision-making

Industry 4.0 implementation strategy for Small Medium Enterprises

I4.0 implementation strategy is a tool that aids small and medium enterprises to meet the fourth industrial revolution pre-requisites and standards. The main objective of the current research that has been achieved is that it established an industry 4.0 implementation strategy for SMEs, that is capable of providing enterprises with the most effective road map to overcome the obstacles faced by SMEs during transformation and accomplish the fourth industrial revolution’s standards. A roadmap and the implementation strategy will be specifically tailored to the participating enterprise, based on their assessment scores. The implementation strategy requires four consecutive steps including Maturity Assessment, Influence Assessment, Roadmap Construction, and Implementation. An Industry 4.0 implementation strategy has been devised to increase the accuracy of assessing SME’s technological maturity level by providing a weighting factor for relevant implementation dimensions by using an Analytic hierarchy process (AHP). Weight factors were established to identify dimensions that are most influential at small/medium manufacturing enterprises and prioritize their transformation. A total maturity score of the enterprise as a whole valued between 0-100 is determined at the end of the maturity assessment through utilizing radar charts. This research includes a case study that was conducted at SPM Automation Inc., a local small-sized enterprise, where the proposed four-step implementation strategy was conducted and succeeded to measure the current I4.0 maturity score which was 33% and create an implementation strategy that targets the most influential dimensions and prioritize their transformation

Industry 4.0: current trend and future scope for further research in High Performance Manufacturing

The fourth industrial revolution requires that personalization processes of mass productions evolve towards flexible, interconnected, cloud production with greater automation in its machines and operations, called Industry 4.0 (I4.0). However, a homogeneous I4.0 concept, infrastructure state, and other issues are still scarce, making difficult to determinate in the specialized literature, the threshold between recent manufacturing and challenges that companies had to reach competitive advantage through I4.0 inclusion. Despite becoming one of the most popular strategies for continuous improvement, many plants are struggling to turn I4.0 into a success. Therefore, this paper analyzes the current trends of Industry 4.0 in High Performance Manufacturing (HPM), aiming to consolidate the existing knowledge on both subjects, providing a starting point for academics and practitioners seeking to implement I4.0 in plants and offering suggestions for future examination. This systematic literature review aims to synthesize, organize, and structure the stock of knowledge relating to I4.0 and HPM. The results show that HPM papers do not evidence a holistic evaluation of I.40 principles and foundations. There exists in HPM literature manufacturing practices that permit evaluate technology inclusion and their performance but not their autonomy, cloud computing and network between machines, supplier, and processes. The HPM papers trends are related with issues such as adaptability, flexibility, reconfigurability, new information technologies, modularity, automation, etc. Regarding study limitations, it is necessary to study current I4.0 adoption level, technological infrastructure, and cultural factors. The practical implications are focused in the identification of manufacturing practices used in specialized literature to measure how technology inclusion increase companies’ performance, proving the technological infrastructure and I4.0 maturity level. The originality of this paper converges on the presentation of some manufacturing practices applied on HPM studies which are associated with I4.0

A SPHERICAL FUZZY BASED DECISION MAKING FRAMEWORK WITH EINSTEIN AGGREGATION FOR COMPARING PREPAREDNESS OF SMEs IN QUALITY 4.0

Researchers work hard to embrace technological changes and redefine the quality management as Quality 4.0 (Q 4.0). In this context, the purpose of the current work is twofold. First, it aims to compare the preparedness of the small and medium enterprises (SMEs) for sustaining in Q4. Second, it intends to propose a novel hybrid spherical fuzzy based multi-criteria group decision-making (MAGDM) framework with Einstein aggregation (EA). A real-life case study on six SMEs is carried out with the help of three experts. For aggregating the individual responses (using spherical fuzzy numbers or SFNs), EA is used. Then two very recent models such as Simple Ranking Process (SRP) and Symmetry Point of Criterion (SPC) are extended using SFN to rank the SMEs. Finally, the validation tests and sensitivity analysis are carried out. It is noted that the application of analytical tools, knowledge management and use of technology under the support and mentorship of visionary leadership are the key criteria for building up the capability to embrace Q 4.0. Interestingly, it is noted that medium scale firms are better prepared than small-scale enterprises. This work is apparently a first of its kind that focuses on SMEs for assessing their quality management practices in Industry 4.0 era

Resilience Maturity Assessment in Manufacturing Supply Chains

Industry 5.0 is a new vision for European industry with focus on human centricity, sustainability, and resilience. Due to that most research on Industry 5.0 concentrates on digital technologies, mainly because its relation to Industry 4.0, there is still limited and one-sided understanding of the concept. To enhance the competitiveness of manufacturing industries in Europe, companies need to develop their capabilities not only in digitalization, but also of human centricity, sustainability and resilience. Resilience, the capacity to withstand or to recover quickly from difficulties, is an important aspect due to war, pandemic, energy crisis and climate change crisis. Many manufacturing companies face major challenges in their supply chains, with limited availability of components, lack of critical virgin materials, high-cost growth, and high supply risk exposure. This research seeks to bring further understanding of the resilience dimension of the Industry 5.0 concept. It adds to the limited amount of research available on Industry 5.0. Also, manufacturing companies need to better understand how they can strengthen their resilience in the supply chains. This paper presents a tool that companies may use to evaluate their maturity, and identify improvement areas. The tool is assessed in three companies

Towards a Framework for Smart Manufacturing adoption in Small and Medium-sized Enterprises

Smart Manufacturing (SM) paradigm adoption can scale production with demand without compromising on the time for order fulfillment. A smart manufacturing system (SMS) is vertically and horizontally connected, and thus it can minimize the chances of miscommunication. Employees in an SME are aware of the operational requirements and their responsibilities. The machine schedules are prepared based on the tasks a machine must perform. Predictive maintenance reduces the downtime of machines. Design software optimizes the product design. Production feasibility is checked with the help of simulation. The concepts of product life cycle management are considered for waste reduction. Employee safety, and ergonomics, identifying new business opportunities and markets, focus on employee education and skill enhancement are some of the other advantages of SM paradigm adoption. This dissertation develops an SM paradigm adoption framework for manufacturing SMEs by employing the instrumental research approach. The first step in the framework identified the technical aspects of SM, and this step was followed by identifying the research gaps in the suggested methods (in literature) and managerial aspects for adopting SM paradigm. The technical and the managerial aspects were integrated into a toolkit for manufacturing SMEs. This toolkit contains seven modular toolboxes that can be installed in five levels, depending on an SME’s readiness towards SM. The framework proposed in this dissertation focuses on how an SME’s readiness can be assessed and based on its present readiness what tools and practices the SMEs need to have to realize their tailored vision of SM. The framework was validated with the help of two SMEs cases that have recently adopted SM practices

Evaluating strategies for implementing industry 4.0: a hybrid expert oriented approach of B.W.M. and interval valued intuitionistic fuzzy T.O.D.I.M.

open access articleDeveloping and accepting industry 4.0 influences the industry structure and customer willingness. To a successful transition to industry 4.0, implementation strategies should be selected with a systematic and comprehensive view to responding to the changes flexibly. This research aims to identify and prioritise the strategies for implementing industry 4.0. For this purpose, at first, evaluation attributes of strategies and also strategies to put industry 4.0 in practice are recognised. Then, the attributes are weighted to the experts’ opinion by using the Best Worst Method (BWM). Subsequently, the strategies for implementing industry 4.0 in Fara-Sanat Company, as a case study, have been ranked based on the Interval Valued Intuitionistic Fuzzy (IVIF) of the TODIM method. The results indicated that the attributes of ‘Technology’, ‘Quality’, and ‘Operation’ have respectively the highest importance. Furthermore, the strategies for “new business models development’, ‘Improving information systems’ and ‘Human resource management’ received a higher rank. Eventually, some research and executive recommendations are provided. Having strategies for implementing industry 4.0 is a very important solution. Accordingly, multi-criteria decision-making (MCDM) methods are a useful tool for adopting and selecting appropriate strategies. In this research, a novel and hybrid combination of BWM-TODIM is presented under IVIF information

Industry 4.0 and sustainability: Towards conceptualization and theory

Both Industry 4.0 and sustainability have gained momentum in the academic, managerial and policy debate. Despite the relevance of the topics, the relation between Industry 4.0 and sustainability \u2013 revealed by many authors \u2013 is still unclear; literature is fragmented. This paper seeks to overcome this limit by developing a systematic literature review of 117 peer-reviewed journal articles. After descriptive and content analyses, the work presents a conceptualization and theoretical framework. The paper contributes to both theory and practice by advancing current understanding of Industry 4.0 and sustainability, especially the impact of Industry 4.0 technologies on sustainability practices and performance