Production Engineering and Management

The annual International Conference on Production Engineering and Management takes place for the sixth time his year, and can therefore be considered a well - established event that is the result of the joint effort of the OWL University of Applied Sciences and the University of Trieste. The conference has been established as an annual meeting under the Double Degree Master Program ‘Production Engineering and Management’ by the two partner universities. The main goal of the conference is to provide an opportunity for students, researchers and professionals from Germany, Italy and abroad, to meet and exchange information, discuss experiences, specific practices and technical solutions used in planning, design and management of production and service systems. In addition, the conference is a platform aimed at presenting research projects, introducing young academics to the tradition of Symposiums and promoting the exchange of ideas between the industry and the academy. Especially the contributions of successful graduates of the Double Degree Master Program ‘Production Engineering and Management’ and those of other postgraduate researchers from several European countries have been enforced. This year’s special focus is on Direct Digital Manufacturing in the context of Industry 4.0, a topic of great interest for the global industry. The concept is spreading, but the actual solutions must be presented in order to highlight the practical benefits to industry and customers. Indeed, as Henning Banthien, Secretary General of the German ‘Plattform Industrie 4.0’ project office, has recently remarked, “Industry 4.0 requires a close alliance amongst the private sector, academia, politics and trade unions” in order to be “translated into practice and be implemented now”. PEM 2016 takes place between September 29 and 30, 2016 at the OWL University of Applied Sciences in Lemgo. The program is defined by the Organizing and Scientific Committees and clustered into scientific sessions covering topics of main interest and importance to the participants of the conference. The scientific sessions deal with technical and engineering issues, as well as management topics, and include contributions by researchers from academia and industry. The extended abstracts and full papers of the contributions underwent a double - blind review process. The 24 accepted presentations are assigned, according to their subject, to one of the following sessions: ‘Direct Digital Manufacturing in the Context of Industry 4.0’, ‘Industrial Engineering and Lean Management’, ‘Management Techniques and Methodologies’, ‘Wood Processing Technologies and Furniture Production’ and ‘Innovation Techniques and Methodologies

Decision support for build-to-order supply chain management through multiobjective optimization

This paper aims to identify the gaps in decision-making support based on multiobjective optimization for build-to-order supply chain management (BTOSCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting multiobjective optimization (MOO) techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted and future research directions to better exploit the decision support capabilities of MOO are proposed

Optimization of an integrated lot sizing and cutting stock problem in the paper industry

CNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOTwo important optimization problems occur in the planning and production scheduling inpaper industries: the lot sizing problem and the cutting stock problem. The lot sizing problem must determine the quantity of jumbos of different types of paper to be produced in each machine over a finite planning horizon. These jumbos are then cut in order to meet the demand of items for each period. In this paper, we deal with the integration of these two problems, aiming to minimize costs of production and inventory of jumbos, as well as the trim loss of paper generated during the cutting process. Two mathematical models for the integrated problem are considered, and these models are solved both heuristically and using an optimization package. Attempting to get lower bounds for the problem, relaxed versions of the models also have been solved. Finally, computational experiments are presented and discussed.Two important optimization problems occur in the planning and production scheduling inpaper industries: the lot sizing problem and the cutting stock problem. The lot sizing problem must determine the quantity of jumbos of different types of paper to be produced in each machine over a finite planning horizon. These jumbos are then cut in order to meet the demand of items for each period. In this paper, we deal with the integration of these two problems, aiming to minimize costs of production and inventory of jumbos, as well as the trim loss of paper generated during the cutting process. Two mathematical models for the integrated problem are considered, and these models are solved both heuristically and using an optimization package. Attempting to get lower bounds for the problem, relaxed versions of the models also have been solved. Finally, computational experiments are presented and discussed.173305320CNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO2010/10133-02013/07375-

Post-industrial robotics: the new tendency of digital fabrication for exploring responsive forms and materials through performance

The contribution proposes the experimental results of research on robotics manufacturing issues for the realization of informed architectural organisms on a 1:1 scale. The pavilions Fusta Robotics and Digital Urban Orchard and the technological system In.Flux represent the results of tests in which material, environmental and structural performance inform the computational process and the consequent materialization. The two pavilions, both wooden, constitute the physical implementation of different functional programs realised through a collaboration with industrial partners. Fusta Robotics is the result of a collaboration between industry and universities for the tectonic experimentation derived from the use of local non-engineered material. Digital Urban Orchard is the formal expression of a complex functional program arising from the relationship amongst form (shape), function and context for a new concept of socialization space and food production within the agenda at the self-sufficiency in Barcelona. Finally, through the In.Flux prototype, we investigated the relationship among formal generation, structural analysis and robotic manufacturing for the realization of concrete free-form structures. The analysis of the prototypes opens the debate on the role of IT in the post-digital era when the design process manifest through the control and management of the flow of information affecting the digital computation and fabrication and the material behaviour. The resulting theoretical assumption considers the architectural form as the result of a diagram of forces where the achievement of the performance is the driving parameter for the formal geometric exploration. The continuous variation resulting therefrom is informed by performance parameters that define a new aesthetic which represents together the manifestation of objectively measurable performance parameters and the power of the tool through which the form is generated

Integration Of Maintenance Into Design And Sustainability Of Buildings

Custodial maintenance is an important aspect of operational maintenance in a facility. Custodial maintenance improves an organization\u27s discipline, performance and keeps surroundings healthy. That being said maintaining clean surroundings involves considerable cost. Custodial maintenance cost forms significant portion of building budgets, however these costs are often neglected. This research deals with the identification of variables that affect maintenance costs in a facility and reduction of maintenance costs. The minimization of cost is done by giving the administrator or facilities manager the option of selecting alternatives in frequency of maintenance, level of maintenance and the number of people required to complete a maintenance task. This allows the administrator to develop maintenance strategies to accommodate the custodial maintenance budget. An optimization model has been built to achieve the goals of the research. Furthermore, the custodial management system (CMS) developed based on an optimization model allows the administrator to design new buildings from the perspective of reduced custodial maintenance cost and to sustain these costs over time. A case study is presented to validate the working of the model and the software. A sensitivity analysis has also been presented to identify the best alternative for the case study

Scheduling strategies for the furniture industry

Technological developments and more demanding production standards have constantly been pushing the envelope, changing the perception of what is possible and desired in manufacturing processes. Such improvements are often made at marginal cost, yet have the potential to significantly benefit performance, enabling a strong competitive advantage. In this case study, a factory in the furniture industry is considered, where there are vast improvement opportunities and an increase in flexibility is needed. Furthermore, this problem can be best approximated by the flow shop model and the most critical characteristic is sequence-dependent setup times. To address this problem, an iterated greedy with local search meta-heuristic is implemented, which will be responsible for scheduling production orders in the way that best suits makespan and, consequently, productivity. Additionally, OptQuest, the optimiser functionally built into the Flexsim simulating software was also tested against the meta-heuristic and, still through simulation, a local rule was implemented, which allowed each workstation to define its own sequence of jobs, to minimise setup times. Lastly, the best performing of the previous methods was also compared to the original heuristic that had previously been specifically created for this problem. Through testing, it was found that the iterated greedy with local search meta-heuristic was able to generate solutions that had a much better makespan value than the ones produced by OptQuest, while the local rule was not able to provide significant improvement. Then, the meta-heuristic was compared to the original heuristic and, although the newly implemented algorithm did not consider all characteristics of the problem, productivity far outperformed that of the original technique