An Approach to Production Scheduling Optimization - A Case of an Oil Lubrication and Hydraulic Systems Manufacturer

Authors: Artem Katasonov, Leila Saari, Dan Bendas, Toni Lastusilta, Timo Korvola, Roberto Camp, Wael M. Mohammed, Angelica Nieto
Abstract: Cloud-enabled tools developed in the Cloud Collaborative Manufacturing Networks (C2NET) project address the needs of small and medium enterprises with respect to information exchange and visibility across the collaboration partners in the supply network, coupled with automated and collaborative production planning and supply management. This paper analyses a case of an oil lubrication and hydraulic systems manufacturer and describes a pilot application of C2NET where the production schedule is optimized according to the priorities of the pilot company. In this case the goal is a highly adaptive just-in-time manufacturing schedule with guaranteed on time delivery.

Configuring and Visualizing The Data Resources in a Cloud-based Data Collection Framework

Authors: Wael M. Mohammed, David Aleixo, Borja Ramis Ferrer, Carlos Agostinho, Jose L. Martinez Lastra
Abstract: The Manufacturing Enterprise Solutions Association (MESA) provided the abstract and general definition of the Manufacturing Execution Systems (MES). A dedicated function has been reserved for the data collection activities. In this matter, the Cloud Collaborative Manufacturing Networks (C2NET) project tends to provide a cloud based platform for hosting the interactions of the supply chain in a collaborative network. Within the architecture of the C2NET project, a Data Collection Framework (DCF) is designed to fulfill the function of data collection. This allows the companies to provide their data which can be both enterprise or Internet of Things (IoT) devices type of data to the platform for further use. The collection of the data is achieved by a specific third party application, i.e., the Legacy System Hub (LSH). This research work presents the approach of configuring and visualizing the data resources in the C2NET platform. This approach employs the web-based applications and the help of the LSH. This permits the C2NET platform to adapt to any kind of third party application which manipulates enterprise data, following the generic and flexible solution of this approach.

Semantic Maps for IoT Network Reorganization in face of Sensor Malfunctioning

Authors: Fabio Lopes, Jose Ferreira, Ricardo Jardim-Goncalves, Carlos Agostinho
Abstract: As technology evolves, the Internet of Things (IoT) concept is gaining more importance for constituting a foundation to reach better connectivity between people and things. For this to happen, certain strategies and processes are considered to enhance and grant optimal interoperability between the heterogenous devices of a typical IoT network. Two major key aspects of these networks are autonomous error recovery and network reorganization, which are usually based on physical redundancy and aim to return the network to a similar working state, as it was before the error. This process is of great importance when regarding the amount of data and devices that the ever-growing IoT networks have to manage and the number of situations that are associated with this aspect. This work proposes a solution to integrate the previously mentioned processes in IoT networks with the support of the semantic maps as a mean to accomplish redundancy with the use of network metadata and function-oriented recovery methodology, providing the network with tools to be more autonomous and reliable, without compromising performance.

Collaborative calculation of the Materials Requirement Planning in the Automotive Industry

Authors: Beatriz Andres, Raquel Sanchis, Raul Poler, Leila Saari
Abstract: Especially small and medium size enterprises need to have joint efforts to tackle the on-going changes in their business environment. Information and communication Technologies enable the increase of collaboration between enterprises. In this paper, the specific problem to be solved is the collaborative calculation of the Materials Requirement Plan (MRP). The MRP is solved through the design of a heuristic algorithm based on the Least Unit Cost (LUC) technique, and is validated in the automotive industry. In this paper the collaboration is enhanced through iterations when first and second tier companies in the supply chain of the automotive industry exchange information on their demand and production plans. The proposed algorithm is part of the optimisation module developed in the Cloud Collaborative Manufacturing Networks (C2NET) project. The data needed to solve are extracted from the existing legacy systems of the companies and mapped with the C2NET data structure. In future, C2NET will provide several algorithms to solve planning problems within manufacturing industries as well as other sectors.

Integrated production-distribution planning optimization models: A review in collaborative networks context.

Authors: Andres, B., Sanchis, R., Lamothe, J., Saari, L., & Hauser, F.
Abstract: Researchers in the area of collaborative networks are more and more aware of proposing collaborative approaches to address planning processes, due to the advantages associated when enterprises perform integrated planning models. Collaborative production-distribution planning, among the supply network actors, is considered 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 continuous changes of the market by increasing their agility. Carrying out collaborative planning allows enterprises to enhance their readiness and agility for facing the market turbulences. However, SMEs have limited access when incorporating optimization tools to deal with collaborative planning, reducing their ability to respond to the competition. The problem to solve is to provide SMEs affordable solutions to support collaborative planning. In this regard, 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 on integrated production and distribution plans. The main objective of the research is to identify gaps in current optimization models, proposed to address integrated planning, taking into account the requirements and needs of the industry. Thus, the needs of the companies belonging to the industrial pilots, defined in the C2NET project, are identified; analysing how these needs are covered by the optimization models proposed in the literature, to deal with the integrated production-distribution planning.

Storyboard tools for university and education research projects

Authors: Andres, B., Poler, R.
Abstract: This paper is focused on the presentation of storyboard and storytelling open–source online tools, for its application in the university context and in the education research projects. The main aim of this paper is to provide an open source tool to support: (i) university teachers, using storyboard tools as a novel educational resource to include in their master and practice classes, allowing them to structure concepts or explain methodologies through images that have attached short descriptions; (ii) university students, as future industrial engineers, employing storyboard tools for structuring the decision-making process, by taking into account all the actors that are affected in the decision process; (iii) education research projects, adopting storyboard as a tool to aid the creative writing through matching creative images with keywords to capture the essence of the research project. In order to deal with the proposed objective, this paper is organised in the following sections: Section 1 will propose an introduction of the developed work. Considering the importance of storytelling in the three identified contexts: the university teachers, the university students and the education research projects. Section 2 will propose and describe a set of storyboard and storytelling open-source online tools that are considered interesting for the university application and for the education research projects use. A matrix of advantages and disadvantages of each identified storyboard open-source online tool will be provided. Characteristics such as:(i) video supported, moving images; (ii) comic strips; (iii) photos or images, collages; (iv)social platforms blogs, documents connection; (v) degree of personalization, free database images and materials; (vi) music supported; (vii) easy to use; (viii) printable version;(ix) maps connection; (x) manuals and examples; etc. will be analysed. According to the provided matrix an assessment process will be performed with the main aim of selecting of the most appropriate storyboard tools, considering the three identified contexts of use. In section 3, practical applications with the identified storyboard tools will be described. Highlighting the easiness of use, the usability and the utility of each identified storyboard and storytelling open-source online tools. Finally, in section 4, the conclusions will be provided, considering the strengths the proposed tools, for each of the three identified contexts: (i) teachers, (ii) students and (iii) researchers. Accordingly, storyboard tools will be used as a support tools for the master classes, decision-making processes, in different areas of the industrial engineering, and creative writing of education research projects. To this regard the three involved actors will benefit from an online and open-source tools for working in the education context and will be supported by the images with short text explanations to develop their classwork and research work.

Tools for managing references in class projects and scientific works

Authors: Andres, B., Poler, R., Díaz-Madroñero, M.
Abstract: This paper is focused on identifying open online tools to manage references, for its application in class projects, in the university context, and in scientific works. The main aim of this paper is to provide a set of tools to support university students and researchers to store all their research, and sort all their references, documents and notes in one place. This paper is an extension of the paper “Adjustment of students to be future researchers: The importance of a systematic literature review methodology for MSC students” [1] that proposes a guideline to help students to systematically perform the literature review phase in the research work. The provided systematic literature review methodology developed by [1], consists of six phases. The work developed in the present paper, focuses on phase (iv) managing and treating the results through building a personalised database; proposing in a more extended way a set of tools to manage references and build a database of the research work performed in the systematic literature review. Section 1 will propose an introduction of the developed work. Considering the importance of managing references and centralise the research work in one site. Section 2 will propose and describe a set of online tools that are considered interesting for managing the research and sorting all the references collected when performing the research work. A table analysing the characteristics and the advantages and disadvantages of each identified bibliography and citation tool will be provided. Characteristics such as: (i) pdf management; (ii) exportation; (iii) compatibility with Microsoft Word; (iv) electronic databases connection, including Scopus or scholar Google;(v) open-source supported; (vi) easy to use; etc. will be analysed. According to the provided matrix an assessment process will be performed with the main aim of selecting of the most appropriate tools. In section 3, three most relevant tools are selected and illustrated with examples. The three selected tools will be:(i) RefWorks,(ii) EndNote and (iii) Mendeley. These three tools, used for managing bibliography and references, are selected due to its easiness of use and advantages such as: (i) showcase the impact of the researchers work; (ii) share reading lists, references and full-text articles with researchers’ network, publicly or privately and create groups to tackle research assignments, share feedback; (iii) search and sort all of the references, documents and notes in one place, and store research securely and access it easily across all the researchers’ or students devices; (iv) annotate and add sticky notes to capture thoughts; (v) generate citations and bibliography as writing, in the style of choice; and (vi) compatible with Microsoft Word, LibreOffice and BibTeX. Moreover, Mendely is an open-source online tool compatible with Mac OS and Windows. Finally, in section 4, the conclusions will be provided, considering the strengths of the proposed tools. To this regard, students and researchers will benefit from online tools, and will be supported by the centralisation of the research work in one place. Accordingly, phase iv of the systematic literature review [1] is covered, through the proposal of the tools for managing references.

A Holistic Algorithm for Materials Requirement Planning in Collaborative Networks

Authors: B. Andres, R. Poler, and R. Sanchis
Abstract: Collaboration has increasingly been considered a key topic within the small and medium-sized enterprises, allowing dealing with the intense competitiveness of today’s globalised markets. The European H2020 Cloud Collaborative Manufacturing Networks Project proposes mechanisms to encourage collaboration among enterprises, through the computation of collaborative plans. Particularly, this paper focuses on the proposal of a holistic algorithm to deal with the automated and collaborative calculation of the Materials Requirement Plan. The proposed algorithm is validated in a collaborative network belonging to the automotive industry

A Proposal of Standardised Data Model for Cloud Manufacturing Collaborative Networks

Authors: B. Andres, R. Sanchis and R. Poler, L. Saari
Abstract: The growing amount of data to be handled by collaborative networks raises the need of introducing innovative solutions to fulfil the lack of affordable tools, especially for Small and Medium-Sized Enterprises, to manage and exchange data. The European H2020 Project Cloud Collaborative Manufacturing Networks develops and offers a structured data model, called Standardised Tables, as an organised framework to jointly work with existing databases to manage big data collected from different industries belonging to the CNs. The information of the Standardised Tables will be mainly used with optimisation and collaboration purposes. The paper describes an application of the Standardised Tables in one of the pilots of the aforementioned project, the automotive industry pilot, for solving the collaborative problem of a Materials Requirement Plan.

An Overview of Optimization Models for Integrated Replenishment and Production Planning Decisions

Authors: Arturo Orbegozo, Beatriz Andres, Josefa Mula, Matthieu Lauras, Carlos Monteiro and Miguel Malheiro
Abstract: This paper presents a summary of a review of optimization models for integrated production and replenishment planning decisions. To deal with this research, current approaches addressing replenishment and production planning are reviewed, and compared with the enterprises requirements, willing to collaboratively perform both processes. This research is embedded in the H2020 C2NET research project. The enterprises requirements are extracted from the industrial Pilots participating the C2NET project. This paper will provide researchers and practitioners a starting point for optimization models in the replenishment and production area in the collaborative context.

Optimization Models to Support Decision-Making in Collaborative Networks: A Review

Authors: Beatriz Andres, Raul Poler, Leila Saari, Joseba Arana, Jose-Vicente Benaches and 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.

Capacitated Lot-Sizing and Scheduling Problem for Second-Tier Suppliers in the Automotive Sector

Authors: M. Diaz-Madroñero, J. Mula, B. Andres, R. Poler and R. Sanchis
Abstract: This paper extends Gupta and Magnusson’s (Comput Oper Res 32:727–747, 2005) original proposal for the single machine Capacitated Lot-sizing Scheduling Problem (CLSP) with sequence-dependent setup costs to adapt it to a second-tier supplier in the automotive sector. We propose an extended mixed-integer program for the single machine CLSP that addresses raw material requirements and inventories, stock coverages, holding space limitations and overtime costs. Our proposal also contemplates scheduling plans with demands defined in units and capacities defined in units per period, which is very common in the automotive sector. Finally, a real-world description of the problem is considered as the basis of this work, although the validation model is carried out with a simple numerical example of Gupta and Magnusson (Comput Oper Res 32:727–747,2005).

An architecture to support responsive production in manufacturing companies

Authors: M. Marques; C. Agostinho; R. Poler ; G. Zacharewicz ; R. Jardim-Gonçalves
Abstract: This paper proposes an architecture aiming at promoting the convergence of the physical and digital worlds, through CPS and IoT technologies, to accommodate more customized and higher quality products. The architecture combines concepts such as cyber-physical systems, decentralization, modularity and scalability aiming at responsive production. Combining these aspects with virtualization, contextualization, modeling and simulation capabilities it will enable self-adaptation, situational awareness and decentralized decision-making to answer dynamic market demands and support the design and reconfiguration of the manufacturing enterprise.

A Model-Driven Adaptive Approach for IoT Security

Authors: B.-A. Mozzaquatro, R. Melo, C. Agostinho, R. Jardim-Goncalves
Abstract: Internet of Things (IoT) and sensor networks are improving the cooperation between organizations, becoming more efficient and productive for the industrial systems. However, high iteration between human, machines, and heterogeneous IoT technologies increases the security threats. The IoT security is an essential requirement to fully adoption of applications, which requires correct management of information and confidentiality. The system and devices’ variability requires dynamically adaptive systems to provide services depending on the context of the environment. In this paper, we propose a model driven adaptive approach to offer security services for an ontology-based security framework. Model-Driven Engineering (MDE) approach allows creating secure capabilities more efficient with the generation of security services based on security requirements in the knowledge base (IoTSec ontology). An industrial scenario of C2NET project was analyzed to identify the transformation of a system design of security solution in a platform specific model.

A web-based simulator for a discrete manufacturing system

Authors: Wael M. Mohammed, Andrei Lobov, Borja Ramis Ferrer, Sergii Iarovyi, and Jose L. Martinez Lastra
Abstract: Virtualization has become a supportive approach for simulating system behaviour efficiently thanks to the revolution of computer and smart devices. In fact, the employment of running virtual tools that mimic the real physical world is nowadays a requirement in some fields as in e.g. industrial automation. This research work presents a virtual tool that simulates a real assembly line. The main features of this simulator are listed as; web application that can be accessed with any devices that supports html web pages, animated application that provides a UI for the user, discovery mechanism that allows web applications to interact with the simulator automatically and RESTful-based services, which increases the flexibility and versatility in terms of deployment. FASTory simulator has been developed and deployed during the eScop project. In addition, presented simulator has been employed by C2NET (Cloud Collaborative Manufacturing Networks) project for development some of its tools. Furthermore, the exploitation of the FASTory simulator is extended to cover as well the education of next generation of engineers for design and implementation of modern CPS. As Tampere University of Technology provides a M.Sc. degree in automation engineering, students use the simulator for their experiments, ensuring that mistakes are recoverable and harmless.

A solution for processing supply chain events within ontology-based descriptions

Authors: Borja Ramis Ferrer, Wael M. Mohammed and Jose L. Martinez Lastra
Abstract: The industry is constantly moving towards the research, implementation and deployment of new solutions that permit the optimization of processes. Nowadays, such solutions consist mostly on ICT developments, which permit the collection, distribution, integration, analysis, and manipulation of heterogeneous data. The under way Cloud Collaborative Manufacturing Networks (C2NET) project targets the development of cloud-enabled tools for supporting the SMEs supply network optimization of manufacturing and logistic assets. The C2NET solution includes the implementation of paradigms as e.g. cloud computing or service-oriented and event-driven architectures, used for wide data integration. Among its requirements, the C2NET platform needs a solution for catch, process and react to events triggered in different locations of collaborative manufacturing networks, which are endowed with devices that permits the integration of Cyber-Physical Systems (CPS). This paper presents the architecture and main functionality of a knowledge-based approach that allows processing supply chain events handled by CPS devices. The main component of the presented solution is the SECA ontology, which is a knowledge base that can be updated at runtime. The main purpose of the ontology is to describe events, their status and the actions to be performed once a set of events are triggered in certain order. This research work offers a solution that can be employed by the C2NET platform not only to catch and process events; but also to notify linked data consumers.

Case-based support to sustainable Interoperability and decision in Enterprise Networks

Authors: Marques, Maria; Agostinho, Carlos; Jardim-Goncalves, Ricardo
Abstract: Nowadays companies do not thrive solely through their own individual efforts and isolated knowledge. Enterprises have to become agile, sensitive to changes in market forces, and capable of responding with incremental modifications in business and services provided (adaptation) as well as anticipating radical changes by responding with new and breakthrough business models (innovation). This involves a mix of both cooperative and competitive elements, where decision support, evolving information systems, and the use of networking concepts such as the virtual enterprise or the enterprise ecosystem is becoming more common. The approach here presented aims at facilitating and sustaining interoperability in a dynamic networked enterprise environment. Relying on domain-based semantic translation services, sustainable interoperability enables each organization to keep its own terminology and seamlessly communicate with others (i.e. enterprise interoperability). This work contributes to that paradigm, proposing a novel mechanism based in probabilistic analysis (PA), case-based reasoning (CBR) and similarity calculation (SC) to support decision, service redesign and mapping modifications, e.g. when a company changes its internal model but wants to ensure that communication with external entities is not affected.

Decentralised Replenishment-Production Planning Optimisation Using Negotiation Rules in a Collaborative Network

Authors: Beatriz Andres, Raúl Poler, Josefa Mula, Manuel Díaz-Madroñero and Raquel Sanchis
Abstract: This paper proposes a decentralised planning optimisation approach by using mathematical programming and negotiation mechanisms in a collaborative network. Two partners addressing the replenishment and production stages are considered. Concretely, production scheduling plans and material requirement plans, modelled by two mixed-integer programming models, are modified according to the established negotiation rules between the two collaborative partners. The main contribution of this paper is the improvement of the replenishment and production plans upstream of the network; proposing a decentralised collaborative planning process. The validation of the proposal is done using data based on an automotive industry.

An overview of optimization models for integrated replenishment and production planning decisions

Authors: Arturo Orbegozo, Beatriz Andres, Josefa Mula, Matthieu Lauras, Carlos Monteiro, Miguel Malheiro
Abstract: This paper presents a summary of a review of optimization models for integrated production and replenishment planning decisions. To deal with this research, current approaches addressing replenishment and production planning are reviewed, and compared with the enterprises requirements, willing to collaboratively perform both processes. This research is embedded in the H2020 C2NET research project. The enterprises requirements are extracted from the industrial Pilots participating the C2NET project. This paper will provide researchers and practitioners a starting point for optimization models in the replenishment and production area in the collaborative context.

Capacitated lot-sizing and scheduling problem for second-tier suppliers in the automotive sector

Authors: Manuel Diaz-Madroñero, Josefa Mula, Beatriz Andres, Raul Poler, Raquel Sanchis
Abstract: This paper extends Gupta and Magnusson’s (2005) original proposal for the single machine Capacitated Lot-sizing Scheduling Problem (CLSP) with sequence-dependent setup costs to adapt it to a second-tier supplier in the automotive sector. We propose an extended mixed-integer program for the single machine CLSP that addresses raw material requirements and inventories, stock coverages, holding space limitations and overtime costs. Our proposal also contemplates scheduling plans with demands defined in units and capacities defined in units per period, which is very common in the automotive sector. Finally, a real-world description of the problem is considered as the basis of this work, although the validation model is carried out with a simple numerical example of Gupta and Magnusson (2005).
— 20 Items per Page
Showing 1 - 20 of 59 results.