A framework for smart production-logistics systems based on CPS and industrial IoT

Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. This paper potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems

Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: a systematic literature review

Purpose: The objective of this paper is to provide a systematic literature review of recent developments in methodological frameworks for the modelling and simulation of agent-based advanced supply chain planning systems. Design/methodology/approach: A systematic literature review is provided to identify, select and make an analysis and a critical summary of all suitable studies in the area. It is organized into two blocks: the first one covers agent-based supply chain planning systems in general terms, while the second one specializes the previous search to identify those works explicitly containing methodological aspects. Findings: Among sixty suitable manuscripts identified in the primary literature search, only seven explicitly considered the methodological aspects. In addition, we noted that, in general, the notion of advanced supply chain planning is not considered unambiguously, that the social and individual aspects of the agent society are not taken into account in a clear manner in several studies and that a significant part of the works are of a theoretical nature, with few real-scale industrial applications. An integrated framework covering all phases of the modelling and simulation process is still lacking in the literature visited. Research limitations/implications: The main research limitations are related to the period covered (last four years), the selected scientific databases, the selected language (i.e. English) and the use of only one assessment framework for the descriptive evaluation part. Practical implications: The identification of recent works in the domain and discussion concerning their limitations can help pave the way for new and innovative researches towards a complete methodological framework for agent-based advanced supply chain planning systems. Originality/value: As there are no recent state-of-the-art reviews in the domain of methodological frameworks for agent-based supply chain planning, this paper contributes to systematizing and consolidating what has been done in recent years and uncovers interesting research gaps for future studies in this emerging fieldPeer Reviewe

Multi Agent Systems in Logistics: A Literature and State-of-the-art Review

Based on a literature survey, we aim to answer our main question: “How should we plan and execute logistics in supply chains that aim to meet today’s requirements, and how can we support such planning and execution using IT?†Today’s requirements in supply chains include inter-organizational collaboration and more responsive and tailored supply to meet specific demand. Enterprise systems fall short in meeting these requirements The focus of planning and execution systems should move towards an inter-enterprise and event-driven mode. Inter-organizational systems may support planning going from supporting information exchange and henceforth enable synchronized planning within the organizations towards the capability to do network planning based on available information throughout the network. We provide a framework for planning systems, constituting a rich landscape of possible configurations, where the centralized and fully decentralized approaches are two extremes. We define and discuss agent based systems and in particular multi agent systems (MAS). We emphasize the issue of the role of MAS coordination architectures, and then explain that transportation is, next to production, an important domain in which MAS can and actually are applied. However, implementation is not widespread and some implementation issues are explored. In this manner, we conclude that planning problems in transportation have characteristics that comply with the specific capabilities of agent systems. In particular, these systems are capable to deal with inter-organizational and event-driven planning settings, hence meeting today’s requirements in supply chain planning and execution.supply chain;MAS;multi agent systems

Elosztott, moduláris termelési struktúrák modellezése, tervezése és irányítása = Modelling, planning and control of distributed, modular production structures

Az Elosztott, moduláris termelési struktúrák modellezése, tervezése és irányítása című OTKA-projekt résztvevői új eredményeket értek el az ágens-alapú gyártás, a valósidejű kooperatív vállalatok, a termelésütemezés és újraütemezés, a sztochasztikus, dinamikus termelésirányítás, a gyártás-szimuláció és termékkövetés terén. Az eredményeket 45 publikációban ismertették, melyek összesített impakt faktora 9.429. A publikációkon kívül három PhD értekezés született, melyek közül kettő még elbírálás alatt áll. A kutatást az MTA elnöke 2006-ban külön keretből is támogatta, és tágabb témakörében a résztvevők több EU-projektet is elnyertek. Az alapkutatási eredmények felhasználása elsősorban a kapcsolódó Valósidejű, kooperatív vállalatok (VITAL) NKFP-projektben történt. A projekt során a GE Nagykanizsai fényforrásgyárában ipari bevezetésre került a több mint 100 gyártósor ütemezését végző rendszer; az ún. MES/Cockpit rendszer, mely a gyártási folyamatból valósidőben érkező adatok alapján támogatja a döntéshozót a zavarok azonosításában és elhárításában; valamint az ún. Logisztikai Platform (LP), mely - a felek autonómiáját megtartva - a beszállítói hálózatok működését segíti. | The participants of the Modelling, planning and control of distributed, modular production structures OTKA-project achieved new results in the fields of agent-based manufacturing; real-time cooperative enterprises; production scheduling and rescheduling; stochastic, dynamic production control; production simulation and product tracking and tracing. The results have been published in 45 publications with a cumulative impact factor of 9.429. Beyond the publications, the participants wrote 3 PhD dissertations, two of them are under review now. The research was supported also by the dedicated budget of the President of the Hungarian Academy of Sciences in 2007, and the participants won several EU research projects in the broader field of the subject. The results of the basic research activities were primarily applied in the Real-time, cooperative enterprises (VITAL) project of the National Research and Development Programme (NKFP). In the Lighting factory Nagykanizsa of GE, the following main systems have been introduced: the daily scheduling system for more than 100 production lines; the MES/Cockpit system, on the base of real-time production data, supports the decision makers in analysing the deviations and bringing appropriate measures; the Logistic Platform (LP) which ? while keeping the autonomy of the participant enterprises ? supports the supply chain management

Cyber-physical Manufacturing in the Light of Professor Kanji Ueda's Legacy

Cyber-physical manufacturing, i.e., the formerly never seen integration of the physical and virtual worlds in the manufacturing domain is considered the substance of the 4th industrial revolution. Much of the changes deemed now revolutionary are originated in a long and converging progress of manufacturing science and technology, as well as of computer science, information and communication technologies. One of the pioneers and influential thinkers of production engineering who paved the way towards cyber-physical manufacturing was unquestionably Professor Kanji Ueda (1946-2015). With this paper the authors would like to pay a tribute to his achievements, by highlighting his main contributions not only to the advancement of production engineering and industrial technology but also to the sustainability of our society

Design and Planning of Manufacturing Networks for Mass Customisation and Personalisation: Challenges and Outlook

AbstractManufacturers and service providers are called to design, plan and operate globalized manufacturing networks, addressing to challenges such as ever-decreasing lifecycles and increased product complexity. These factors, caused primarily by mass customisation and demand volatility, generate a number of issues related to the design and planning of manufacturing systems and networks, which are not holistically tackled in industrial and academic practices. The mapping of production performance requirements to process and production planning requires automated closed-loop control systems, which current systems fail to deliver. Technology-based business approaches are an enabler for increased enterprise performance. Towards that end, the issues discussed in this paper focus on challenges in the design and planning of manufacturing networks in a mass customization and personalization landscape. The development of methods and tools for supporting the dynamic configuration and optimal routing of manufacturing networks and facilities under cost, time, complexity and environmental constraints to support product-service personalization are promoted