Digital servitization (DS) enabled by the Industrial Internet of Things (IIoT) is essential for securing long-term competitiveness in manufacturing. The literature identifies need developing data models multichannel communications across IIoT devices that fulfil DS vision. This crucial avoiding isolated systems based on proprietary solutions and promoting sharing interoperability existing future applications. Accordingly, this study proposes a model communication facilitates IIoT-enabled...

The paradigm shift from model-based to data-driven approaches in production logistics is radically transforming the manufacturing landscape. This paper delves into profound implications of this transition, emphasizing instrumental role simulation and digital twins. Through an exhaustive literature review, emerging trends driving forces behind change are elucidated. A comparative case study presented, contrasting approach, which employs predefined models principles simulations, with...

Digital services play a crucial role in enhancing manufacturing competitiveness by enabling differentiation, flexibility, customisation, and improved performance through advanced technologies such as the Industrial Internet of Things Cyber-Physical Systems. While data-driven production logistics (PL) increasingly adopts these to optimise operations, challenges persist effectively leveraging digital enhance performance. This study proposes value-oriented service framework for PL, integrating...

Digital twin testbed and practical applications in production logistics with real-time location dataNowadays, digital twins exist everywhere various fields.However, an analysis of existing manufacturing revealed that many entirely apply the concept.To identify when a complete implementation concept is beneficial, we analyse need implications within logistics.This study also presents architecture supporting integrating into corresponding application scenario.Based on this, have derived...

As the shipbuilding industry is an engineering-to-order industry, different types of products are manufactured according to customer requests, and each product goes through processes workshops. During process, if not able go directly subsequent process due physical constraints workshop, it temporarily waits in a stockyard. Since waiting involves unpredictable circumstances, plans regarding time space cannot be established advance. Therefore, unnecessary movement often occurs when ship blocks...

In recent years, shipyards have conducted various studies to accurately investigate their production capacities and improve the accuracy of plans. Nevertheless, frequent delays in schedules inevitably occur at sites. Simulation-based techniques are used fields solve similar problems, especially those related predicting loads on facilities upgrading planning by considering constraints. Process-centric simulation modeling because shipbuilding process has different characteristics from general...

In this paper, we propose a simulation method based on backward and process-oriented to take into account the characteristics of shipbuilding production, which is an order-based industry with job shop production environment. The shipyard planning process was investigated analyze detailed process, variables constraints mid-term planning. Backward process-centric methods were applied improved considers characteristics, proposed. Based problem defined by applying simulation, system can conduct...

Digitalisation and automation of existing processes are key competitive factors for industry. Still, logistic operations often comprise manual effort, because the movement goods material places stringent requirements on interactions between different systems, human-computer/robot-interaction as well changes in operative processes. In general, introduction up-take new enabling technologies, like IoT, complex systems evolved over decades, challenging. The experience has shown that it is hard...

Recent studies suggest that data-driven decision-making facilitated by Digital Twins (DTs) may be essential for optimizing resources and diversifying value creation in production logistics. However, there exists limited understanding about the design of DTs Addressing this issue, study proposes a process This extends related works describing dimensions manufacturing, adopts perspective based on development literature. The results present including activities pre-study, conceptual, detailed...

Shipbuilding competitiveness can be improved by implementing a production planning system that reflects environments and achieve high degree of completion. Unfortunately, even South Korean shipbuilders, which are the world's most competitive, lack relevant research on objectives, comprehensive evaluation method for systemisation process results planning. This study proposes ship analysing tasks executed in major shipyards. In addition, it an framework to assess based integrated process. The...

Digital Twin (DT)-based services including Industrial Internet of Things (IIoT) are essential for achieving the vision Smart Production Logistics and enhancing manufacturing competitiveness. DT-based combining IIoT provide real-time location materials optimization resources addressing mass customization fluctuating market demand. However, literature applying in (SPL) is scarce. Accordingly, purpose this study to analyze combined use SPL. We propose a framework material handling. The draws...

Shipbuilding process takes a long time for producing final products, and needs many different resources. Because of these characteristics, it has been studied about shipyard simulation virtual manufacturing that is able to implement the process. However, among previous researches, requires considerable effort construct model since systematic methodology not used modeling. Also, reusability constructed was low. Therefore, this research defines method system using process-centric modeling...

In recent years, policy makers as well urban logistics and transport research have investigated how to reduce environmental impact from transportation in areas. Therefore, many new frameworks that can help a specific actor its decision making process at certain level (i.e., business or level) been implemented published. However, the first screening of existing literature did not reveal be used across different levels. This limits possibility for actors using same infrastructure but...

The productivity of a shipyard depends on how efficiently and systematically its limited resources are managed used. Korean shipyards, the most competitive in world, have developed operate their own production management systems to attain high productivity, each which reflects unique characteristics specific company. Recently, research simulation methods enhance has been gaining popularity. Production based simulations rejects decision-making experience intuition values establishment...

The study analyzes the application of reinforcement learning (RL) for material handling tasks in Smart Production Logistics (SPL). It presents two contributions based on empirical results a RL model dynamic production logistics environment from automotive industry. Firstly, an architecture integrating use SPL. Secondly, defines various elements (environment, value, state, reward, and policy) relevant training validating models provides novel insight essential manufacturing managers extends...