Active learning based laboratory towards engineering education 4.0

Universities have a relevant and essential key role to ensure knowledge and development of competencies in the current fourth industrial revolution called Industry 4.0. The Industry 4.0 promotes a set of digital technologies to allow the convergence between the information technology and the operation technology towards smarter factories. Under such new framework, multiple initiatives are being carried out worldwide as response of such evolution, particularly, from the engineering education point of view. In this regard, this paper introduces the initiative that is being carried out at the Technical University of Catalonia, Spain, called Industry 4.0 Technologies Laboratory, I4Tech Lab. The I4Tech laboratory represents a technological environment for the academic, research and industrial promotion of related technologies. First, in this work, some of the main aspects considered in the definition of the so called engineering education 4.0 are discussed. Next, the proposed laboratory architecture, objectives as well as considered technologies are explained. Finally, the basis of the proposed academic method supported by an active learning approach is presented.Postprint (published version

Pengambilan Keputusan Dalam Pemilihan Tempat Peletakan Alat di Laboratorium Teknik Industri Berdasarkan Keterbatasan Ruang dengan Metode AHP

Industrial engineering laboratory is an important component in a high-level learning in industrial engineering study program. The university wants a correct and proper layout for the placement of various kinds of learning support tools and practicums in the laboratory for Industrial Engineering students. There are 3 laboratory rooms, namely the Manufacturing Industry Laboratory, the Service Industry Laboratory, and the Industrial Integration System Laboratory. The research focused on the placement of laboratory equipment within the limited space available. This study aims to determine the priority criteria and alternative placement of the best laboratory equipment. The method used is AHP-TOPSIS, the AHP method is used for weighting the assessment criteria, while the TOPSIS method is used to sort the location of various laboratory equipment. The researcher determined that there were 4 criteria, namely the dimensions of the tool, the level of danger, maintenance, and the mobility of the tool. The conclusion that can be drawn is that the AHP-TOPSIS method can be used as a decision-making framework in selecting the right place for laying various laboratory equipment. Placement of tools that have the criteria of tool dimensions with heavy mass and mobility of tools that are often moved are placed in the Manufacturing Industry Laboratory.AHP, TOPSIS, laboratory, decision making &nbsp

Designing Enterprise Resources Planning Application for Integrating Main Activities in a Simulator Model of SCM Network Distribution

Collaborative supply chain is a specific topic in supply chain management and studied by industrial engineering students in supply chain management course. Unfortunately, conventional learning media cannot explain the phenomenon of collaborative supply chain to the students. This study aimed to design a dynamic learning media so that inter-company collaboration and information sharing on the activities of Supply Chain entities can be explained effectively to the students. The problem was solved using 3 (three) steps. First, the distribution network was described using mock up. It consists of miniature trucks, miniature network and miniature of the manufacturer-distributor-retailer embedded with tag and reader of RFID. Second, the Enterprise Resources Planning application was developed for supporting business activities. Third, we developed the integrator consists of monitor’s user interface and practice modules. The result of the research - an SCM-Simulator – will be able to improve learning skills of industrial engineering graduates, especially abilities to identify, formulate, and solve the activities of tactical plan & operational routines of Supply Chain entities. However, distribution module designed is for limited scale laboratory study of simple objects. Keywords: Distribution Network, Enterprise Resource Planning, Industrial Engineering Education, SCM Simulator,and Learning Media

A Conversation With Harry Martz

Harry F. Martz was born June 16, 1942 and grew up in Cumberland, Maryland. He received a Bachelor of Science degree in mathematics (with a minor in physics) from Frostburg State University in 1964, and earned a Ph.D. in statistics at Virginia Polytechnic Institute and State University in 1968. He started his statistics career at Texas Tech University's Department of Industrial Engineering and Statistics right after graduation. In 1978, he joined the technical staff at Los Alamos National Laboratory (LANL) in Los Alamos, New Mexico after first working as Full Professor in the Department of Industrial Engineering at Utah State University in the fall of 1977. He has had a prolific 23-year career with the statistics group at LANL; over the course of his career, Martz has published over 80 research papers in books and refereed journals, one book (with co-author Ray Waller), and has four patents associated with his work at LANL. He is a fellow of the American Statistical Association and has received numerous awards, including the Technometrics Frank Wilcoxon Prize for Best Applications Paper (1996), Los Alamos National Laboratory Achievement Award (1998), R&D 100 Award by R&D Magazine (2003), Council for Chemical Research Collaboration Success Award (2004), and Los Alamos National Laboratory's Distinguished Licensing Award (2004). Since retiring as a Technical Staff member at LANL in 2001, he has worked as a LANL Laboratory Associate.Comment: Published at http://dx.doi.org/10.1214/088342306000000646 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

Industrial application experiment series

Two procurements within the Industrial Application Experiment Series of the Thermal Power Systems Project are discussed. The first procurement, initiated in April 1980, resulted in an award to the Applied Concepts Corporation for the Capital Concrete Experiment: two Fresnel concentrating collectors will be evaluated in single-unit installations at the Jet Propulsion Laboratory Parabolic Dish Test Site and at Capitol Concrete Products, Topeka, Kansas. The second procurement, initiated in March 1981, is titled, "Thermal System Engineering Experiment B." The objective of the procurement is the rapid deployment of developed parabolic dish collectors

Theoretical foundations for information representation and constraint specification

Research accomplished at the Knowledge Based Systems Laboratory of the Department of Industrial Engineering at Texas A&M University is described. Outlined here are the theoretical foundations necessary to construct a Neutral Information Representation Scheme (NIRS), which will allow for automated data transfer and translation between model languages, procedural programming languages, database languages, transaction and process languages, and knowledge representation and reasoning control languages for information system specification

The New Zealand Strong Motion Earthquake Recorder Network

The network of strong-motion earthquake recorders, maintained throughout New Zealand by the Engineering Seismology Section of the Department of Scientific and Industrial Research, is described. The instruments are either deployed as ground instruments to measure potential earthquake attack on structures, or in structures, e.g. buildings, dams and industrial installations, to record structural response. Details are given of installation of instruments , maintenance, laboratory work, record retrieval and digitisation, costs and staffing for the network. Future developments mooted include an improved digitising system, the introduction of an improved version of the existing mechanical-optical instrument in 1979, and, in the long term, the introduction of an entirely new digital recorder, having an electrical output from its accelerometers, which will make possible the transmission of data by telephone or radio link

Influence of sodium chloride on wine yeast fermentation performance

This paper concerns research into the influence of salt (sodium chloride) on growth, viability and fermentation performance in a winemaking strain of the yeast, Saccharomyces cerevisiae. Experimental fermentations were conducted in both laboratory-scale and industrial-scale experiments. Preculturing yeasts in elevated levels of sodium chloride, or salt “preconditioning” led to improved fermentation performance. This was manifest by preconditioned yeasts having an improved capability to ferment high-sugar containing media with increased cell viability and with elevated levels of produced ethanol. Salt-preconditioning most likely influenced the stress-tolerance of yeasts by inducing the synthesis of key metabolites such as trehalose and glycerol. These compounds may act to improve cells’ ability to withstand osmostress and ethanol toxicity during fermentations of grape must. Industrial-scale trials using salt-preconditioned yeasts verified the benefit of this novel physiological cell engineering approach to practical winemaking fermentations

USULAN PERANCANGAN TATA LETAK FASILITAS MENGGUNAKAN PENDEKATAN SYSTEMATIC LAYOUT PLANNING (STUDI KASUS : LABORATORIUM PROSES MANUFAKTUR UNIVERSITAS TELKOM)

ABSTRAKSI: KATA KUNCI: ABSTRACT: The laboratory of Industrial Engineering University of Telkom is one of the facilities to support students in learning sciences industrial engineering including data processing and statistical analysis, the depiction of digital map, simulation of business processes, product design, graphic design, and machining processes products and scientific presentation which the implementation is always used a computer. The laboratory of manufacturing process is a new laboratory which is located at the industrial engineering that has room undersized 11,89 x 4,90 m and used for the activity of lab work. Under observation directly, the physical environment (level of temperature, noise levels and the level of illumination) in the room not optimal and the facilities used causes the layout in the lab not optimal and thus causing space to do movement out of the recommended standards. In designing the layout of laboratory facilities using BLOCPLAN Algorithm and ergonomics approach. BLOCPLAN algorithm works by building and change the layout based on the degree of proximity or Activity Relationship Chart (ARC). This research analysis comparing the initial layout of several alternative layouts are generated from the BLOCPLAN algorithm. The result in this study proposed a more optimal layout using the BLOCPLAN algorithm as evidenced by the R-Score of 0.82 and then done adjustment by using the ergonomic approach to the layout of the facilities in Manufacturing Process Laboratory.KEYWORD: Laboratory, Ergonomics,Physical Environment, Layout, Activity Relationship Chart, Algorithms BLOCPLAN, R-Score