Smart manufacturing scheduling (SMS) requires a high degree of flexibility to successfully cope with changes in operational decision level planning processes today's production environments, which are usually subject uncertainty. In such unique and complex scenario as the real job shop, modelling SMS Markov process (MDP), its approach by deep reinforcement learning (DRL), is research field growing interest given characteristics. It allows us consider achieving levels promoting automation,...

Based on a scientific literature review in the conceptual domain defined by smart manufacturing scheduling (SMS), this article identifies benefits and limitations of reviewed contributions, establishes discusses set criteria with which to collect structure its main synergistic attributes, devises framework that models SMS around three axes: semantic ontology context, hierarchical agent structure, deep reinforcement learning (DRL) method. The purpose such modelling research is establish...

This paper highlights the importance of sustainable practices in supply chain management, focusing on upcycling as a key approach to transforming discarded materials into valuable products. It proposes conceptual framework based state-of-art and action research, which integrates traditional wood with secondary material recovery, addressing gaps existing literature promoting collaboration among manufacturers, waste managers, designers. The emphasizes circular economy sector, aiming enhance...

Risks arising from the effect of disruptions and unsustainable practices constantly push supply chain to uncompetitive positions. A smart production planning control process must successfully address both risks by reducing them, thereby strengthening (SC) resilience its ability survive in long term. On one hand, antidisruptive potential inherent sustainability implications zero-defect manufacturing (ZDM) management model should be highlighted. other digitization virtualization processes...

Abstract Collaboration plays a key role in the success attained to date by networks of innovation ecosystems generated around entities known as Digital Innovation Hubs (DIHs), recently created following European Commission initiatives boost digitisation economic fabric. This article proposes conceptual framework that brings together, defines, structures and relates concepts involved collaborative interaction processes within between these allow comprehensive conceptualisation. The developed...

The growing digitization of manufacturing processes is revolutionizing the production job-shop by leading it toward Smart Manufacturing (SM) paradigm. For a process to be smart, necessary combine given blend data technologies, information and knowledge that enable perceive its environment autonomously perform actions maximize success possibilities in assigned tasks. Of all different ways this transformation, both generation virtual replicas applying artificial intelligence (AI) techniques...

An integral application of the enabling technologies Industry 4.0 in job-shop scheduling problem (JSSP) must contemplate automation and autonomy involved decision-making processes as a goal, which is main purpose smart manufacturing (SMS) paradigm. In real production context, uncertainty acts barrier that hinders this goal being met and, therefore, any SMS model should integrate generators one way or another. This paper proposes an ontological framework identifies structures entities shaping...

FROM LABS TO LECTURE HALLS: UNDERSTANDING THE CROSSROADS OF EU R&D PROJECTS AND MARKETING EDUCATION AT UNIVERSITIES

One of the most complex domains in field industrial process planning that a professional can face is job shop. Machines, parts, jobs, routing, orders, batches, machining phases, set-up times, or delivery among others, make up very unique issue, known as shop scheduling problem (JSSP) which, real environments, acquires remarkable level complexity. For first-time engineering student taking on challenge gaining deeper understanding JSSP, theoretical training essential to establish basic...

La planificación de requerimiento materiales, actividad conocida como MRP por sus siglas en inglés, es un proceso cuyo propósito garantizar el flujo materiales la producción, asegurando que cada uno los necesarios sea recibido cantidad y fecha requeridas. Como problema, involucra productos, listas componentes, inventario, pedidos compra, ordenes entre otras variables entrada. Todo este abundante conjunto datos interviniendo solución configura problema optimización combinatoria gran...