Optimization models to support decision-making in collaborative networks: A review

Authors: Beatriz Andres, Raúl Poler, Leila Saari, Joseba Arana, José-Vicente Benaches, Javier Salazar
Abstract: Enterprises, especially SMEs, are increasingly aware of belonging to Collaborative Networks (CN), due to the competitive advantages associated to deal with markets globalization and turbulence. The participation in CN involves enterprises to perform collaborative planning along all the processes established with the CN partners. Nevertheless, the access of SMEs to optimisation tools, for dealing with collaborative planning, is currently limited. To solve this concern, novel optimisation approaches have to be designed in order to improve the integrated planning in CN. In order to deal with this problem, this paper proposes a baseline to identify current enterprise needs and literature solutions in the replenishment, production and delivery collaborative planning, as a part of the H2020 Cloud Collaborative Manufacturing Networks (C2NET) research project. The main gaps found between the literature reviewed and the enterprises’ needs are presented and discussed.

Combined models for production and distribution planning in a supply chain

Authors: Beatriz Andres, Raquel Sanchis, Jacques Lamothe, Leila Saari, Frederick Hauser
Abstract: Collaboration in Supply Chains is a trending topic in the research area of operations planning. The management of collaborative plans within supply networks is seen as a proper mechanism to support enterprises on dealing with uncertainties and dynamicity associated to the current markets. Enterprises, and especially SMEs, should be able to overcome the market turbulence by increasing their competitiveness. To deal with this situation, new optimisation algorithms are required in order to improve the collaboration within the supply network partners. As part of the H2020 Cloud Collaborative Manufacturing Networks (C2NET) research project, this paper presents a study among production and distribution plans with the main aim of identifying gaps in the current optimisation models taking into account the requirements and needs coming from the industry.

Legacy Systems Interactions with the Supply Chain Through the C2NET Cloud-based Platform

Authors: Khurshid Ali Qureshi, Wael Mohammed, Borja Ramis, Carlos Agostinho
Abstract: Enterprise Resource Planning (ERP) represents the highest level of the manufacturing systems according to ISA-95 standard. It includes supply chain management, and customer-manufacturer-supplier interactions, essential to a successful business relationship in the frame of Industry 4.0. Many research efforts are being put in place to follows the latest ICT advances, combining them with manufacturing systems technologies. In this manner, the C2NET factories of future project (c2net-project.eu) has been put in place to provide a cloud-based collaborative network for supply chain interactions. This research paper focuses on providing a solution for retrieving ERP data via a Legacy System Hub, which is powered by the previous PlantCockpit project (www.tut.fi/plantcockpit-os/) outcomes. This solution allows the C2NET users to transfer the ERP data from the company side to the C2NET platform via the Data Collection Framework (DCF). Thus, the contribution of this research work is a generic solution that enables the interaction between systems owned by different organizations involved in the same supply chain. As C2NET targets the Small and Medium-sized Enterprises (SMEs), three data adapters are developed for MS Excel, SQL and RESTful data sources. The result of this research enhances the users experience in terms of interface and it might help in the C2NET databases for controlling and monitoring the instance changes in the ERP data on the company side.

Management of IoT Devices in a Physical Network

Authors: Jose Ferreira, João Nuno Soares, Ricardo Jardim-Goncalves, Carlos Agostinho
Abstract: The emerging Internet-of-Things (IoT) technology is becoming more and more important in society, with applicability in many areas, such as Smart Cities, Intelligent Transportation Systems and Domotics (Smart Buildings). IoT deployments are by nature a very heterogeneous environment built on numerous “things” (actuators, sensors, etc.). These “things”, are based on hardware platforms which can differ widely, implement different tasks and can use distinct Operating System (OS). They are mainly used for environment awareness, giving to people a more truly interaction with the surrounding world. With such diversity, a complex problem emerges for developers regarding the selection of a proper, more suitable device for an IoT deployment. Make a right decision depends on multiple criteria and a challenge for science and technology managers. An IoT System (device) is characterized by several parameters. It presents, among other special characteristics, low processing capabilities, battery-powered, very specific OS, and the major concern to engineers the energy efficiency. This work proposes a multi-criteria model and a framework to analyze the most suitable solution in the design of a System of IoT Systems. Assist in the decision of a suitable solution for an IoT System, during the design phase and IoT deployment.

A Multi-Criteria Decision Model for the Selection of a more Suitable Internet-of-Things Device

Authors: Edgar M. Silva, Ricardo Jardim-Goncalves, Carlos Agostinho
Abstract: The emerging Internet-of-Things (IoT) technology is becoming more and more important in society, with applicability in many areas, such as Smart Cities, Intelligent Transportation Systems and Domotics (Smart Buildings). IoT deployments are by nature a very heterogeneous environment built on numerous “things” (actuators, sensors, etc.). These “things”, are based on hardware platforms which can differ widely, implement different tasks and can use distinct Operating System (OS). They are mainly used for environment awareness, giving to people a more truly interaction with the surrounding world. With such diversity, a complex problem emerges for developers regarding the selection of a proper, more suitable device for an IoT deployment. Make a right decision depends on multiple criteria and a challenge for science and technology managers. An IoT System (device) is characterized by several parameters. It presents, among other special characteristics, low processing capabilities, battery-powered, very specific OS, and the major concern to engineers the energy efficiency. This work proposes a multi-criteria model and a framework to analyze the most suitable solution in the design of a System of IoT Systems. Assist in the decision of a suitable solution for an IoT System, during the design phase and IoT deployment.

Situation Awareness in the Internet of Things

Authors: Bruno A. Mozzaquatro, Ricardo Jardim-Goncalves, Carlos Agostinho
Abstract: Business opportunities have been benefited with the popularization of wireless devices of the Internet of Things (IoT). Several security issues can produce drawback to the companies because of Internet technologies did not designed to support IoT as well as information disclosure, privacy issues, and cyber threats. However, these situations of the interest could provide knowledge about the reality of the IoT environment. The monitoring of the elements status of a system involves the Situation Awareness (SA) paradigm. However, a limitation of this model is that SA is awareness held exclusively by the human. In this paper, we propose the adoption of a reference ontology to enhance cybersecurity in the IoT considering SA. An ontology extension is used to deal with distinct situational sources and enrich the meaning around security issues. To validate this proposal we describe a case study considering the data collection from smart objects in a metalworking company.

A Multi-agent Approach for Processing Industrial Enterprise Data

Authors: Wael M. Mohammed, Borja Ramis Ferrer, Raquel Sanchis, Beatriz Andres, Carlos Agostinho, Jose L. Martinez Lastra
Abstract: The C2NET project aims to provide cloud-based platform for the supply chain interactions. The architecture of such platform includes a data collection framework (DCF) for managing the collection of the companiy’s data. The DCF collects, transforms and stores data from both Internet of Things (IoT) devices in the factory shopfloor and company enterprises via two types of hub; Legacy Systems Hub (LSH) and IoT Hub. Since the C2NET, targets the small and medium size enterprises (SMEs), the enterprise data, or legacy data as called in the C2NET project, can be provided via excel files. Thus, this research work highlights a technique for processing excel files in the LSH. This technique adopts the concept of multi-agent systems for processing the data as tables in the excel files in the LSH. The multi-agent approach allows the LSH to process any excel file regardless of the full complexity in the data structure or in the file table. Furthermore, the presented approach enhances the processing of the excel files in different aspects, such as the size of the excel file or the required processing power.

Metalworking SMEs Network Resources Optimization: C2NET Cases

Authors: Adriana Cunha, João Pedro Mendonca, Pedro Silva, Maria Marques, Carlos Agostinho
Abstract: Metalworking Industry as a traditional industry is suffering lots of changes in the last decades, but the changes suffered in the last one had forced it to modernize itself to guarantee the adequate response to market’s needs. Costumers requirements on customized products of high quality and reduced lead-time, together with environmental awareness are driving the increasingly use of Information and Communication Technologies (ICT) systems, IoT devices. This led to changes in the entire value chain, and the need to have ICT tools that allow the integration of all the information of the company. Cloud Collaborative Manufacturing Networks (C2NET) propose a cloud solution to enable collaboration between Metalworking SMEs. This paper presents C2NETproject solution to help Metalworking SMEs to improve their business and be competitive in a fast changing market.

Model Driven Implementation of Security Management Process

Authors: Bruno Augusti Mozzaquatro, Ricardo Jardim-Gonçalves, Carlos Agostinho
Abstract: Services composition involves many time and effort to describe high-level requirements of the business process. To this purpose, the Model Driven Service Engineering Architecture (MDSEA) is a methodology to distinguish the business view and technical point of view in products and services and to agilize the software development. Such capabilities demand more effective process applied to specify, evaluate, communicate and design the system as well as system functionalities and security issues. Security aspects are critical when it involves privacy of data exchange of devices. In this context, the definition of security artifacts during the design of a business process consumes time of system funcionalities development. This paper proposes an implementation of a security management process using the methodology MDSEA as support to promote model transformations from business model to specific artifacts and configurations. This support enables to enrich a solid business model with technic al details by specialists.

Automated Reengineering of Industrial Service-based Systems

Authors: Agostinho, Carlos; Raposo, Carlos;Jardim-Goncalves, Ricardo
Abstract: Complex systems are not of static nature. Most are governed by a particular set of laws and behave accordingly to a certain range of expected inputs and variables, but they can also evolve in response to unforeseen stimulus. The same principle can be applied to industrial information systems. Larger systems such as an entire company or a network of companies may be divided into further subsystems, including information systems, each behaving autonomously but is still under influence of the others, interacting with them in a holistic manner. This paper explores this relationship and proposes a conceptual solution to the strain of sustaining interoperability in complex service-based networks from the domain of manufacturing. To such effect, and in order to tackle the complex relationships and dependencies implicit in web-service environments, information modeling is used, allowing for the optimization of several service engineering activities and enterprise business processes while maximizing the efficiency of system’s interactions. Hence, service modeling and orchestration is here suggested as a baseline to network monitoring, and as a possible approach to automatically handle and recover from erratic behavior, providing systems with adaptive web services and self-organizing capabilities.

Processes Orchestration for Preventing and Managing Shortages in a Supply Chain: A dermo-cosmetics use case

Authors: Frederic Hauser, Vincent Pomponne, Zheng Jiang, Jacques Lamothe, Frederick Benaben
Abstract: The project C2NET "Cloud Collaborative Manufacturing Networks" is a H2020 project started in January 2015. It aims at developing a cloud platform, which allows the development of services for the management of collaborative planning processes between partners of a supply chain. This paper presents a proposition, organized through 5 main services of the platform: modeling, detection, assessment, adaptation and process orchestration. It is dedicated to Pierre Fabre Dermo- Cosmetics use case: shortages prevention and management. It presents the 4 first services required configuration thru the definition of rules for data interpretation, automatic modelling of a supply chain situation, deviations assessment and adaptation strategy modelling. Finally it presents the principle of orchestration processes.

A Monitoring Framework of Collaborative Supply Chain for Agility

Authors: Zheng Jiang, Jacques Lamothe and Frederick Benaben
Abstract: The project C2NET " Cloud Collaborative Manufacturing Networks " is a H2020 project started in January 2015. It aims at developing a cloud platform, which allows the development of services for the management of collaborative planning processes between partners of a supply chain. This paper introduces a monitoring framework organized through 4 main services in the platform: modeling, detection, adaptation and assessment services. The framework provides main features: data collection in the supply chain field and automatic model generation of supply chain plans and situations; model comparison for detecting deviations and propagation of the deviations; agile adaptation for different deviations; a dashboard for visualize and assess the supply chain situation.

Distributed Software Development of a Cloud Solution for Collaborative Manufacturing Networks

Authors: Dan Bendas, Leila Saari, Rubén de Juan-Marín, Josep Maria Bernabé-Gisber, Carlos Coutinho, Luís Lopes
Abstract: Distributed software development poses extra difficulties in terms of communication, coordination and awareness. Those difficulties usually imply more time consumption that causes productiveness reduction deriving finally in delays. So, projects where such kind of development is needed have to deal with them in order to ensure the success of the project. The case project – a research European project of the H2020 programme where participate 18 partners from 6 different countries, with three different time zones – has adopted this development approach due to its nature. The main goal of the project is to develop a cloud solution for enhancing collaboration and transparency between manufacturing companies forming a collaborative network. In order to implement it, the overall solution has been divided into several pieces, likewise micro services, having many interdependencies among them. Thus, different working teams geographically spread from different organizations have participated in the implementation, integration, verification and validation tasks. This paper explains how the case project has organized the working teams, infrastructure and procedures and practices for overcoming such problems while guaranteeing the success of the project and presents also learnt experiences and conclusions.

Fault Tolerant Sensing Model for Cyber-Physical Systems

Authors: Sudeep Ghimire, João Sarraipa, Carlos Agostinho,Ricardo Jardim-Goncalves
Abstract: A sensing system is capable of making decisions by using information captured through physical and virtual objects and providing value added information to enhance its global context awareness. Sensing system forms one of the core components of cyber-physical systems (CPSs) which provide the interface for data collection from physical world and detecting various situations. Thus, it becomes critical to develop sensing model that is fault tolerant towards the failure of components such as sensors and actuators. This will enable realization of CPSs that will continue to run even when the interface to the physical world fails. This research work presents the model for defining sensing model for representing sensors and actuators and creating virtual objects that will enable data regeneration when the physical devices fails. The data regeneration algorithm is based on the virtual instance attributed with contextual details of the deployed physical devices. Fault tolerant systems in an important research area for CPSs and this paper addresses this challenge to enable development of robust and smart CPSs.

Reconfigurable and Updatable Product-Service Systems: The Path for Sustainability and Personalization

Authors: Maria Marques, Carlos Agostinho, Greg Zacharewicz, Ricardo Jardim-Goncalves
Abstract: Driven by the market evolution from mass- production to mass-customization, servitization gained space as a way of answering consumers requirements while enabling the possibility of extending products life-cycle and reducing production costs and cope with growing environmental and sustainability concerns. This paper presents a prospective methodological approach for the development of reconfigurable and updatable product-service-systems identifying the main missing issues on available methodologies and tools. The methodology proposed includes the development of a PSS ontology enriched with the knowledge models needed to represent reconfiguration and updatability concepts. This methodology will supply models that will be simulated to consider the dynamicity of the proposed PSS in order to evaluate and support decision. Moreover, the insight coming from Social Sciences and Humanities is proposed as a critical cornerstone for the development of a reliable approach.

An approach for integrating legacy systems in the manufacturing industry

Authors: Naveen Govindarajan, Borja Ramis Ferrer, Xiangbin Xu, Angélica Nieto, José L. Martinez Lastra
Abstract: The objective of the Cloud Collaborative Manufacturing Networks (C2NET) project is the development of a cloud-based platform that will allow an efficient collaboration and optimization of supply chain processes. One of the main components of the C2NET platform is the Data Collection Framework (DCF) and the Data Collection Client (DCC), which must provide a reliable solution for receiving data from heterogeneous data sources. Moreover, incoming data must be transformed in a way that can be presented in the required format to be handled by optimizer and collaboration tools that reside in the C2NET platform. This research work focuses on the collection of data from different legacy systems. Then, this article presents an approach that may be employed by C2NET to permit the DCC to receive, interpret and transform data. Presented approach uses the PLANTCockpit OS solution, which principles and functionality are also included in the manuscript.

Implementation of an Industrial Visualization Model for Collaborative Networks

Authors: Mohammad Johirul Islam, Borja Ramis Ferrer, Xu Xiangbin, Angelica Nieto, Jose Luis Martinez Lastra
Abstract: The rapid development and employment of new technologies in the industrial domain forces enterprises dynamically adapting to changes. For example, supply chain enterprises' networks need to adopt affordable and fast responsive information systems, which must be also compatible with other systems for exchanging data. The ongoing Cloud Collaborative Manufacturing Networks (C2NET) project aims the development of a cloud-based platform to enable collaboration and optimization of processes that are performed in supply chains. The C2NET approach will allow collaborative networks (CNs) to improve the efficiency of organizations working in the same value chain. One important aspect of CNs is the interaction of users with the information needed for performing different tasks in the supply chain. The way in which the information is presented, is critical for users to be more efficient in their duties. Thus, user interfaces (UIs) must be customized in order to display useful information depending on the UI user. This research work focuses on a part of the C2NET project that intends to display in devices and web browser friendly UIs which are automatically adapted to the type of user or the role of the enterprise's worker. This article presents an implementation of an industrial visualization ontological model that might be employed for the C2NET platform. The result is a mobile application that provides an adaptive interface, which dynamically changes depending on the user and the notifications received from the CNs systems.

Cloud and Services Testing applied in Manufacturing

Authors: F. Alves, C. Coutinho, R. Peña-Ortiz, X. Xu, A. Nieto, J. Ahola, L. Saari, A. Katasonov
Abstract: Software testing is a complex and thorough process, which verifies software correctness from bare simple code units to the intricate complexity of fully integrated systems. Such major development contributor element should be planned from the beginning of the project (perhaps even before the code itself), and should play a role as important as the development itself. The use of the latest, fit, and most complete tools is important to ease the testing activities, but in most cases the selection of the best tool is specific to each particular development environment. This article presents an overview of the state-of-the-art in testing methodologies and tools, particularising the use of such tools in the context of the H2020 European project C2NET, which handles, among others, Cloud environments and Web Services.

Cloud based solution enabling collaborative supply network optimization for an Original Equipment Manufacturer

Authors: Xiangbin Xu, Angelica Nieto, Borja Ramis Ferrer, Roberto Camp, José L. Martínez Lastra
Abstract: In this paper, a cloud-based collaborative manufacturing network platform is proposed. The platform enables supply network partners situated in different geographic locations to have access to the OEM's planning data allowing to carry out purchase, production and deliver planning activities simultaneously and collaboratively, on any operating system. The proposed solution integrates the OEMs' legacy systems and IoT devices, offering optimization functionality and collaboration tools. The benefit of the presented approach is that there is no need for the OEMs to invest in complex IT infrastructures. This results in substantial saving in cost, production management time and, also, significant improvement in OEMs' agility to changes in a supply network environment.

Negotiation Coordination Model for supporting Enterprise Interoperability

Authors: A. Cretan, C. Coutinho, B. Bratu,R. Jardim-Goncalves
Abstract: The scientific evolution of negotiation in collaborative working environments allowed companies to benefit from new interoperability standards. The proliferation of SMEs led to a highly competitive environment, in which the various partners rely on interoperability and collaboration to be efficient. This paper highlights the role of negotiation in solving interoperability issues by proposing a distributive coordination model in order to manage multiple parallel negotiations. The research results will be validating within the European research project H2020 C2NET.
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