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Publications

Publications by CESE

2021

Collaborative Product and Service Customization in Fashion Companies

Authors
Pessot, E; Macchion, L; Marchiori, I; Fornasiero, R; Senna, P; Vinelli, A;

Publication
BOOSTING COLLABORATIVE NETWORKS 4.0: 21ST IFIP WG 5.5 WORKING CONFERENCE ON VIRTUAL ENTERPRISES, PRO-VE 2020

Abstract
This paper focuses on the identification of collaborative strategies and practices adopted by companies of the fashion industry in the management of customized offerings (both products and services) along their supply chain (SC). A multiple case study approach is applied and four companies (both medium and large) were interviewed. The cross-case analysis enabled mapping the cases following two dimensions: type of market asking for the customization (B2B vs. B2C) and scope of customization (products vs. services). The analysis highlights the practices and processes related to the customization, the enabling technologies adopted, and the actors involved by a focal company in the collaboration (both in upstream and downstream networks) to offer the product or service that meet customer needs.

2021

Scenario-Driven Supply Chain Charaterization Using a Multi-Dimensional Approach

Authors
Barros, AC; Senna, PP; Marchiori, I; Kalaitzi, D; Balech, S;

Publication
Lecture Notes in Management and Industrial Engineering - Next Generation Supply Chains

Abstract
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.

2021

Policy Recommendations for Supporting Supply Chains with Horizontal Actions

Authors
Zimmermann, R; Barros, AC; Senna, PP; Pessot, E; Marchiori, I; Fornasiero, R;

Publication
Lecture Notes in Management and Industrial Engineering - Next Generation Supply Chains

Abstract
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.

2021

Technology Scouting to Accelerate Innovation in Supply Chain

Authors
Stute, M; Sardesai, S; Parlings, M; Senna, PP; Fornasiero, R; Balech, S;

Publication
Lecture Notes in Management and Industrial Engineering - Next Generation Supply Chains

Abstract
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.

2021

Mapping Enabling Technologies for Supply Chains with Future Scenarios

Authors
Senna, PP; Stute, M; Balech, S; Zangiacomi, A;

Publication
Lecture Notes in Management and Industrial Engineering - Next Generation Supply Chains

Abstract
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.

2021

PREFAB Framework - PRoduct quality towards zEro deFects for melAmine surface Boards industry

Authors
Dias, RC; Senna, PP; Goncalves, AF; Reis, J; Michalaros, N; Alexopoulos, K; Gomes, M;

Publication
IFAC PAPERSONLINE

Abstract
Zero Defects is one of the ultimate targets for manufacturing quality control and assurance. Such systems are becoming common in advanced manufacturing industries but are at an initial stage in more traditional industrial sectors, such as wood panels, laminates production, pulp and paper processing and composite panels production. This paper proposes the PREFAB framework, applied to the wood based panels industry, to minimize rejected products using AI, machine learning and IoT devices. The framework was built through action research with a Portuguese wood-based panel manufacturing. This framework delivered an innovative decision support system that provides relevant and timely recommendations for shopfloor decision making and to support process/product engineering. Copyright (C) 2021 The Authors.

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