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This paper aims to understand stakeholders' sentiments with respect to company policies in the water utilities (WU) sector and to explore if and how these sentiments could be a source for organisational learning.

This study investigates the use of social media in WUs’ and stakeholders’ reactions as a source of data for organisational learning. This paper relies on a mixed-methods approach based on sentiment analysis of Facebook (FB) pages and semi-structured interviews with sustainability managers from a sample of Italian WUs.

Findings show that WUs increasingly use FB mainly to promote and disclose environmental issues and as a source of information for organisational learning. A longitudinal analysis of environmental disclosure via FB reveals a growing trend of both companies’ posts and stakeholder interactions and significant differences among organisations in their ways of using information and knowledge obtained from social media.

Theoretically, this paper builds an original link between disclosure via social media and organisational learning processes. Empirically, to the best of the authors’ knowledge, this is one of the first studies to identify the quantity and quality of environmental disclosure via FB and the related stakeholders’ reactions.

This paper aims to investigate reconfigurable technology using robotic technology for folding carton in confectionery industry.

Based on the analysis of common motion and manipulation, modules such as robotic fingers and robotic folders are explored and designed. A robotic system is then constructed by arranging those modules for diverse cartons.

A prototyped test rig shows the adaptability of the robotic system. The reconfigurability of the robotic system is realized and verified by experiments and an industrial demonstrator.

This research leads to the development of a demonstrator, manufactured and controlled by industries, to further commercial exploitation of this robotic system. It has been applied in a strict industry environment for a chocolate manufacturer.

This robotic system applied successfully the theory of reconfigurability by using modularity in packaging systems into confectionery industry.

Because of the intense competition in the current global economy, a company must conceive, design, and manufacture new products quickly and inexpensively. The design cycle can be shortened through simulation. Rapid technical advances in many different areas of scientific computing provide the enabling technologies for creating a comprehensive simulation and visualization environment for assembly design and planning. An intelligent environment has been built in which simple simulation tools can be composed into complex simulations for detecting potential assembly problems. The goal in this research is to develop high fidelity assembly simulation and visualization tools that can detect assembly related problems without going through physical mock‐ups. In addition, these tools can be used to create easy‐to‐visualize instructions for performing assembly and service operations.

Managing components' resources plays a critical role in the success of systems' architectures designed for cyber–physical systems (CPS). Performing the selection of candidate components to pursue a specific application's needs also involves identifying the relationships among architectural components, the network and the physical process, as the system characteristics and properties are related.

Using a Model-Driven Engineering (MDE) approach is a valuable asset therefore. Within this context, the authors present the so-called Systems Architecture Ontology (SAO), which allows the representation of a system architecture (SA), as well as the relationships, characteristics and properties of a CPS application.

SAO uses a common vocabulary inspired by the Architecture Analysis and Design Language (AADL) standard. To demonstrate SAO's applicability, this paper presents its use as an MDE approach combined with ontology-based modeling through the Ontology Web Language (OWL). From OWL models based on SAO, the authors propose a model transformation tool to extract data related to architectural modeling in AADL code, allowing the creation of a components' library and a property set model. Besides saving design time by automatically generating many lines of code, such code is less error-prone, that is, without inconsistencies.

To illustrate the proposal, the authors present a case study in the aerospace domain with the application of SAO and its transformation tool. As result, a library containing 74 components and a related set of properties are automatically generated to support architectural design and evaluation.

This paper aims to develop path‐planning techniques that support a general selective disassembly planner in a virtual reality environment.

The paper presents an automatic selective disassembly planning and two path‐planning techniques that support it. The first one is based on single translations, while the second is based on the generation of a random search tree. The methods used have been adapted and modified from available robotic path‐planning methods for their use in disassembly path planning.

The paper finds that the proposed techniques are applicable to the automatic generation of disassembly sequences.

The paper provides an automatic tool that can be integrated in simulation software for the analysis and validation of disassembly operation.

Maintenance operations have a great impact in the security and life expectancy of any product. This is especially true for some applications such as aerospace that must pass rigorous security checking procedures. Geometric reasoning and virtual reality can help in reducing costs and design time by moving testing from physical mock‐ups to virtual ones.

The paper shows the integration of path‐planning techniques in automatic disassembly‐planning methods.

Assembly Sequence Planning integrating assembly Resources (ASPR) is a trend in industry. Because of the introduction of resource, the complexity of ASPR for complex product increases drastically; besides, the dynamic property of resource and the co‐existence of assembly sequence and disassembly sequence (ASDS) make the problems in ASPR more difficult. The dynamic assembly model (DAM) based on polychromatic sets (PS) theory was proposed to address these issues.

First, a strategy was presented to simplify ASPR, taking advantage of assembly sequence generated in the phase of assembly design which considers no resource. Secondly, the concept of DAM was discussed, and some principles/criteria for DAM modeling were generalized from experience. Then, the DAM was modeled by formalizing its incidence relations as PS matrix, and refined based on the formalized criteria, which were expressed as PS locating and collision relation models. Finally, an application case was studied to demonstrate the effectiveness of the method.

The approach could reduce the complexity of ASPR significantly, and was able to identify dynamic resource, model DAM and handle the co‐existence of ASDS effectively.

The method may change the manual pattern of ASPR in simulation environment, and become a potential tool to change the pattern of traditional ASP which comes to work from scratch, by utilizing the upstream information of product design.

Different from traditional assembly model, DAM was a local model which consists of partial components of product and resource, and the DAM‐based ASPR approach would make the computational complexity of product assembly become more linear than exponential.