CESE - Book Chapters

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    A Collaborative Planning Approach for Non-hierarchical Production Networks
    ( 2013) Almeida,R ; César Toscano ; Américo Azevedo ; Luís Carneiro
    This chapter presents an innovative collaborative planning (CP) approach for non-hierarchical production networks that enhances collaboration between partners in two different lifecycle phases of the virtual organizations (VOs). The first phase concerns the first planning iteration for the customer, and it basically defines the operations plan and a quotation for the customer, supported by a negotiation process between partners. The second phase concerns a detailed specification of the manufacturing operation and its planning. The chapter first presents a summary of the main trends and previous work concerning collaborative network (CN), governance models and approaches for CP. Next, it provides the requirements for the CP. The chapter ends with the methodology proposed for CP, considering two planning schemes and the evaluation of the quality of the solutions. © 2013 by John Wiley & Sons, Inc.
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    Drivers Impacting Cobots Adoption in Manufacturing Context: A Qualitative Study
    ( 2019) António Lucas Soares ; Ana Cristina Simões ; Ana Cristina Barros ; 5590 ; 2252 ; 5521
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    A Flexibility Reference Model to Achieve Leagility in Virtual Organizations
    ( 2012) João Bastos ; Paulo Ávila ; António Henrique Almeida ; Américo Azevedo
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    Information management for network transformation in industrial enterprises associations: The case of the internationalization process
    ( 2016) Eric Macieira Costa ; De Sousa,JP ; António Lucas Soares ; Jamil,GL
    There is no doubt that nowadays internationalization is increasingly attractive for companies that want to become more competitive. However, many small and medium enterprises (SMEs) still are resourceconstrained, lacking adequate information and facing problems to establish and manage relationships to operate in a sustainable way in international markets. Despite receiving some support from governments and from other institutional entities, these difficulties faced by SMEs call for a stronger support, which can be played by industrial enterprises associations (IEAs). This chapter brings the perspective of five different companies that are associated with IEAs. The main objective is to have their opinion about the role of IEAs as information managers and promoters of collaborations, mainly for internationalization processes. Another objective is to understand the acceptance by these companies regarding the use of collaborative platforms, managed by IEAs, for supporting their information and collaboration management activities. © 2017, IGI Global.
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    Mapping Enabling Technologies for Supply Chains with Future Scenarios
    ( 2021) Pedro Senna ; Stute,M ; Balech,S ; Zangiacomi,A ; 7330
    AbstractDriven by the current digital transformation, European companies rely on accurate forecasting of future trends and prediction of most useful technologies in order to maintain their competitive edge. For this purpose, the mapping of enabling technologies to future scenarios becomes a valuable tool for practitioners and researchers alike, especially when considering the disruptive events that surround SCs design, implementation and management. This research sets forth to fill this gap by presenting a technology mapping of enabling technologies based on technology portfolio approach, expert elicitation and literature. The final outcome is the mapping of the enabling technologies to the characteristics of the future European SC scenarios.
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    Measures in sectorization problems
    ( 2015) Ana Maria Rodrigues ; José Soeiro Ferreira
    Sectorization means dividing a whole into parts (sectors), a procedure that occurs in many contexts and applications, usually to achieve some goal or to facilitate an activity. The objective may be a better organization or simplification of a large problem into smaller sub-problems. Examples of applications are political districting and sales territory division. When designing/comparing sectors some characteristics such as contiguity, equilibrium and compactness are usually considered. This paper presents and describes new generic measures and proposes a new measure, desirability, connected with the idea of preference.
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    Metalearning
    ( 2017) Pavel Brazdil ; Vilalta,R ; Giraud Carrier,CG ; Carlos Manuel Soares
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    Nonconformity root causes analysis through a pattern identification approach
    ( 2013) Donauer,M ; Peças,P ; Américo Azevedo
    Controlling, maintaining, and improving quality is a central topic in manufacturing. Total Quality Management (TQM) provides several tools and techniques to deal with quality related topics, which are not always applicable. With the increased use of Information Technology (IT) in manufacturing there is a higher availability of data with great potential of further improvements. At the same time this results in higher requirements for data storage and processing with demanding, time consuming sessions for interpretation. Without suitable tools and techniques knowledge remains hidden in databases. This paper presents a methodology to help analyzing root causes of nonconformities (NCs) through a pattern identification approach. Hereby a methodology of Knowledge Discovery in Databases (KDD) is adapted and used as a quality tool. As the core element of the KDD methodology, the data mining, a well-known statistical measure from the field of economics—the Herfindahl–Hirschman Index (HHI)—is integrated. After presenting the theoretical background a new methodology is proposed and validated through an application case of the automotive industry. Results are obtained and presented in the form of patterns in matrices. They suggest that concentration indices may indicate possible root causes of NCs and invite for further investigations. © Springer International Publishing Switzerland 2013.
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    Optimization and Monte Carlo Simulation for Product Launch Planning under Uncertainty
    ( 2016) Catarina Moreira Marques ; Samuel Moniz ; de Sousa,JP ; Barbosa Póvoa,AP
    This paper presents an innovative approach to solve the product-launch planning problem in the pharmaceutical industry, with uncertainty on the product demand and on clinical trials. A mixed integer linear programming (MILP) model, incorporating Monte Carlo simulation (MCS), was developed for optimizing the process design (process-unit allocation and scale-up decisions) and for capacity planning (acquisition of new units), considering the products that still require development, and the products that are already in commercialization. MCS is performed in a two-step procedure, based on Normal and Bernoulli distributions, in order to capture the effects of demand variability and trials pass-fail uncertainty, respectively. Product-launch decisions are made taking into account the probability distributions of alternative process designs, of new capacity requirements, and of the coefficients of the objective function. The applicability of the proposed solution approach is demonstrated in an illustrative case study. © 2016 Elsevier B.V.
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    Policy Recommendations for Supporting Supply Chains with Horizontal Actions
    ( 2021) Ricardo Augusto Zimmermann ; Ana Cristina Barros ; Pedro Senna ; Pessot,E ; Marchiori,I ; Fornasiero,R ; 5590 ; 7330 ; 7848
    AbstractThis chapter aims to identify the supply chain (SC) issues that can be considered “horizontal”, as they are cross–sectorial and faced by most companies operating both in production and distribution sectors, and to propose a set of policy recommendations that can support public and private organisations to promote and foster innovation and competitiveness of future European SCs. The definition of the Key Horizontal Issues (KHI) is the basis for developing 12 policy recommendations regarding infrastructure requirements, technological and organisational improvements and regulatory developments needed to set the stage for the European SCs for the future. Specifically, the policy recommendations entail assuring appropriate standards and legislation for European SCs; educating and training professionals for the future SCs; drafting of international agreements aiming at future European SCs; supporting and fostering incentives and funding schemes; promoting reference bodies for European SCs; and establishing infrastructure for fostering of future European SCs.
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    Recent trends and challenges in planning and scheduling of chemical-pharmaceutical plants
    ( 2015) Samuel Moniz ; Barbosa Póvoa,AP ; De Sousa,JP
    This paper discusses the current trends in optimization methods for solving planning and scheduling problems in the chemical-pharmaceutical industry. The challenges of this industry and the recent advances in modeling these problems show that optimization methods need to provide highly integrated solutions encompassing decision-making at both R&D and Operations levels. The heterogeneous demand, characteristic of the complex drug development cycle, asks for mixed planning strategies capable of increasing the resources utilization and the plant output, and of dealing with uncertainty.
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    Reference model framework for production of small series of innovative and fashionable goods in manufacturing networks
    ( 2013) Zangiacomi,A ; Fornasiero,R ; João Bastos ; Américo Azevedo ; Franchini,V ; Vinelli,A
    In fashion business, consumer needs and expectations of specific target groups—such as elderly, obese, disabled, or diabetic persons—are arising as challenging opportunities for European companies that are asked to supply small series of innovative and fashionable goods of high quality, affordable price and eco-compatible. This paper aims at proposing a reference model to support collaborative supply networks in addressing the need for Fashionable and Healthy Clothing and Footwear products. In particular this work describes the implementation of the model in a real case highlighting the developments and changes implied at network level. © Springer International Publishing Switzerland 2013.
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    Scenario-Driven Supply Chain Charaterization Using a Multi-Dimensional Approach
    ( 2021) Ana Cristina Barros ; Pedro Senna ; Marchiori,I ; Kalaitzi,D ; Balech,S ; 7330 ; 5590
    AbstractExtreme disruptive events, such as the volcano eruption in Iceland, the Japanese tsunami, and the COVID-19 pandemic, as well as constant changes in customers’ needs and expectations, have forced supply chains to continuously adapt to new environments. Consequently, it is paramount to understand the supply chain characteristics for possible future scenarios, in order to know how to respond to threats and take advantage of the opportunities that the next years will bring. This chapter focuses on describing the characteristics of the supply chain in each of the six macro-scenarios presented in Sardesai et al. (2020b), as final stage of the scenario building methodology. Supply chains for each scenario are characterized in eight dimensions: Products and Services, Supply Chain Paradigm, Sourcing and Distribution, Technology Level, Supply Chain Configuration, Manufacturing Systems, Sales Channel, and Sustainability.
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    Sectors and Routes in Solid Waste Collection
    ( 2015) Ana Maria Rodrigues ; José Soeiro Ferreira
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    Simulation-based optimization for steel stacking
    ( 2008) Rui Jorge Rei ; João Pedro Pedroso ; Mikio Kubo
    In many sectors of industry, manufacturers possess warehouses where finished goods are stored, awaiting to fulfill a client order. We present a situation where these items are characterized by release and due dates, i.e. warehouse arrival for storage and client delivery, respectively. The warehouse has a number of positions available, where items can be placed on top of each other, forming stacks. For item manipulation, there is a single a stacking crane, able to carry one item at a time. When in a given stack an item at the top is due at a date later than some item below it, it must be relocated to another stack, so that the item below can be delivered. In this problem the objective is to minimize the number of movements made by the crane.
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    Technology Scouting to Accelerate Innovation in Supply Chain
    ( 2021) Stute,M ; Sardesai,S ; Parlings,M ; Pedro Senna ; Fornasiero,R ; Balech,S ; 7330
    AbstractDigital technologies have gained ground among companies, researchers and policy makers in recent years due to their growing relevance to current and future supply chains. Technologies such as robotics, artificial intelligence, autonomous transport systems, data science, and additive manufacturing are gradually becoming part of people’s and companies’ daily lives and are changing the manufacturing, process industry and logistics sectors. Although recent attempts have been made to understand the implications of these technologies on supply chain management, the relevance of the different technologies in future scenarios is still unknown. Using a technology scouting approach, the most important enabling technologies for supply chains until 2030 are identified and selected and their implications on future supply chains are evaluated using an assessment methodology with different evaluation criteria.
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    UNDERSTANDING USERS' RESPONSE TO ONTOLOGY BASED SYSTEMS IN THE CONTEXT OF AN ENTERPRISE SPONSORED VIRTUAL COMMUNITY
    ( 2007) Joana Fernandes ; Carla Pereira ; Manuel Fernando Silva ; António Lucas Soares
    This paper aims at presenting the preliminary results of a research work that seeks to understand the users' response to semantic based technologies, in the context o/, enterprise sponsored virtual communities. The research follows a qualitative methodolog}' based on an action research approach. It particlllar~v focuses on the socio-cognitive processes that underlie usel:~' learning and acquisition methods when training and interacting with a new knowledge management approach based on semantically enabled technologies in a collaborative, and sometimes virtual. learning/working environment. The outcomes of this research are expected to provide an assessment frameworkfor a deeper level understanding of the cognition process in what concerns the evolution of individual~~ knowledge. opinions. beliefs. and thoughts abuut untology based systems.
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    Web mining for the integration of data mining with business intelligence in web-based decision support systems
    ( 2014) Domingues,MA ; Alípio Jorge ; Carlos Manuel Soares ; Rezende,SO
    Web mining can be defined as the use of data mining techniques to automatically discover and extract information from web documents and services. A decision support system is a computer-based information sy Analysis stem that supports business or organizational decision-making activities. Data mining and business intelligence techniques can be integrated in order to develop more advanced decision support systems. In this chapter, the authors propose to use web mining as a process to develop advanced decision support systems in order to support the management activities of a website. They describe the Web mining process as a sequence of steps for the development of advanced decision support systems. By following such a sequence, the authors can develop advanced decision support systems, which integrate data mining with business intelligence, for websites. © 2015, IGI Global.