Discrete event simulation and virtual reality use in industry: new opportunities and future trends

This paper reviews the area of combined discrete event simulation (DES) and virtual reality (VR) use within industry. While establishing a state of the art for progress in this area, this paper makes the case for VR DES as the vehicle of choice for complex data analysis through interactive simulation models, highlighting both its advantages and current limitations. This paper reviews active research topics such as VR and DES real-time integration, communication protocols, system design considerations, model validation, and applications of VR and DES. While summarizing future research directions for this technology combination, the case is made for smart factory adoption of VR DES as a new platform for scenario testing and decision making. It is put that in order for VR DES to fully meet the visualization requirements of both Industry 4.0 and Industrial Internet visions of digital manufacturing, further research is required in the areas of lower latency image processing, DES delivery as a service, gesture recognition for VR DES interaction, and linkage of DES to real-time data streams and Big Data sets

A framework for smart production-logistics systems based on CPS and industrial IoT

Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. This paper potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems

Human-Robot Collaboration as a new paradigm in circular economy for WEEE management

E-waste is a priority waste stream as identified by the European Commission due to fast technological changes and eagerness of consumers to acquire new products. The value chain of the Waste on Electric and Electronic Equipment (WEEE) has to face several challenges: the EU directives requesting collection targets for 2019–2022, the costs of disassembly processes which is highly dependent on the applied technology and type of discarded device, and the sale of the obtained components and/or raw materials, with market prices varying according to uncontrolled variables at world level. This paper presents a human-robot collaboration for a recycling process where tasks are opportunistically assigned to either a human-being or a robot depending on the condition of the discarded electronic device. This solution presents some important advantages; i.e. tedious and dangerous tasks are assigned to robots whereas more value-added tasks are allocated to humans, thus preserving jobs and increasing job satisfaction. Furthermore, first results from a prototype show greater productivity and profitable projected investment

Engineering methods and tools for cyber–physical automation systems

Much has been published about potential benefits of the adoption of cyber–physical systems (CPSs) in manufacturing industry. However, less has been said about how such automation systems might be effectively configured and supported through their lifecycles and how application modeling, visualization, and reuse of such systems might be best achieved. It is vitally important to be able to incorporate support for engineering best practice while at the same time exploiting the potential that CPS has to offer in an automation systems setting. This paper considers the industrial context for the engineering of CPS. It reviews engineering approaches that have been proposed or adopted to date including Industry 4.0 and provides examples of engineering methods and tools that are currently available. The paper then focuses on the CPS engineering toolset being developed by the Automation Systems Group (ASG) in the Warwick Manufacturing Group (WMG), University of Warwick, Coventry, U.K. and explains via an industrial case study how such a component-based engineering toolset can support an integrated approach to the virtual and physical engineering of automation systems through their lifecycle via a method that enables multiple vendors' equipment to be effectively integrated and provides support for the specification, validation, and use of such systems across the supply chain, e.g., between end users and system integrators

Information visualization for business applications

Business applications are generating ever-increasing amounts of data, and more and more of [these] data are in real-time data. Data mining is a standard feature in most data management system[s] for retrieving complex information but the challenge is about how to represent [this] information in an effective way for better analysis and decision making. With this rich information, the challenge still remains to derive the most business value from [an] ever-increasing amount of available information. Information visualization can significantly solve this problem for handling such complex and high volumes of data to be represented in business applications. Through this research, an attempt will be made to solve this problem by prototyping an interactive data driven business application through visualization. The key focus of this research work will be given in the \u27Presentation Tier\u27 of a business application for visually representing the information in an aesthetic matter for better understanding

Embodiment in 3D virtual retail environments: exploring perceptions of the virtual shopping experience

The customer can now easily create, and customize, their own personal three dimensional (3D) virtual bodies in a variety of virtual environments; could you, by becoming a virtual body, actually enhance your online shopping and buying experiences or, would this potentially inhibit the pure visceral pleasure of retail therapy? "Second Life allows you to be a celebrity in your own lunchtime, .…you can design the body you've always wanted, and indulge your fashionista fetish for very little money. You can be the most attractive, best-dressed version of yourself you can imagine." This paper investigates online shopping in Second Life, through the experience of being avatars. We will discuss the possibilities of using avatars as brand new consumer identities for personalised and customised fashion shopping within the 3D multi user virtual environment, and question the influences and effects of these developments on the traditional high street shopping trip. The hyper un-realistic and non-sensory interface of online shopping for clothes has been hotly debated over the last decade; through the media, the industry and most importantly by the buying public. The customer’s inability to try on and experience the product has been the main inhibitor to shopping on-line, and the high levels of product returns in home shopping dramatically reflect this reality. Faster broadband connections and improved 2D web sites are making clothes shopping on the web more accessible, and for important customer groups, such as young professional females, and plus-size teenagers, virtual 3D technologies offer freedom of choice in any location. Retailers are now confidently providing different shopping experiences by combining 2D and 3D interactive visualisation technologies with advanced marketing techniques, to create virtual retail environments that attempt to actualise the true essence of shopping; by browsing, socialising, trying-on before buying and, in a new twist, leaving the store proudly wearing the item just purchased. American Apparel, Bershka, L’Oreal, Calvin Klein, Reebok, Sears, Nike and Adidas are pioneering virtual mega stores, and all offer newly innovative, and alternative shopping experiences inside 3D multi user virtual environments. An experiential and exploratory approach will be used to investigate fashion brands, and their virtual 3D stores in Second Life. As 3D avatars, we will record a range of customer perceptions and attempt to map their shopping patterns in this massively popular virtual world. The qualitative data gathered will inform discussions about the value of the virtual shopping experience for the customer and the retailer. Conclusions will also question the possibility of using avatars in a virtual shopping environment to acquire accurate body specifications for better fit and the collection of personal details for use in the future development of alternative shopping experiences

A new perspective on Workload Control by measuring operating performances through an economic valorization

Workload Control (WLC) is a production planning and control system conceived to reduce queuing times of job-shop systems, and to offer a solution to the lead time syndrome; a critical issue that often bewilders make-to-order manufacturers. Nowadays, advantages of WLC are unanimously acknowledged, but real successful stories are still limited. This paper starts from the lack of a consistent way to assess performance of WLC, an important burden for its acceptance in the industry. As researchers often put more focus on the performance measures that better confirm their hypotheses, many measures, related to different WLC features, have emerged over years. However, this excess of measures may even mislead practitioners, in the evaluation of alternative production planning and control systems. To close this gap, we propose quantifying the main benefit of WLC in economic terms, as this is the easiest, and probably only way, to compare different and even conflicting performance measures. Costs and incomes are identified and used to develop an overall economic measure that can be used to evaluate, or even to fine tune, the operating features of WLC. The quality of our approach is finally demonstrated via simulation, considering the 6-machines job-shop scenario typically adopted as benchmark in technical literature

Work Journey Rescheduling - Report of Surveys.

In order to model the possible effects of rescheduling the work journey on city centre peak period traffic congestion, it was necessary to obtain information about the current employment position in the city centre, and about traffic conditions in the peak period. To this end, a series of surveys were designed and implemented to collect information from a stratified sample of centrally located employers; a sample of their employees; and about traffic conditions between the hours of 07.30 and 09.30 along selected routes leading into the city centre. Problems in running the surveys were encountered and overcome, and the resulting information covered: - Employee numbers, their permitted work hours, and the type of schedule worked per employer. - The Standard Industrial Classification (SIC) of each employer. - Car parking facilities provided by employer. - Bus facilities provided by employer. - Origin of employees' journey to work. - Mode(s) used in employees' journey to work. - Employees' actual arrival at and start work times, together with departure from work time, for the week preceeding the survey. - Personal characteristics of employees. - Structure of employees' households. - Journey times and traffic flows along selected corridors. The data thus collected was used to provide a base situation against which modelled alternative work hour strategies could be tested

Approaches of production planning and control under Industry 4.0: A literature review

Purpose: Industry 4.0 technologies significantly impact how production is planned, scheduled, and controlled. Literature provides different classifications of the tasks and functions of production planning and control (PPC) like the German Aachen PPC model. This research aims to identify and classify current Industry 4.0 approaches for planning and controlling production processes and to reveal researched and unexplored areas of the model. It extends a reduced version that has been published previously in Procedia Computer Science (Herrmann, Tackenberg, Padoano & Gamber, 2021) by presenting and discussing its results in more detail. Design/methodology/approach: In an exploratory literature review, we review and classify 48 publications on a full-text basis with the Aachen PPC model’s tasks and functions. Two cluster analyses reveal researched and unexplored tasks and functions of the Aachen PPC model. Findings: We propose a cyber-physical PPC architecture, which incorporates current Industry 4.0 technologies, current optimization methods, optimization objectives, and disturbances relevant for realizing a PPC system in a smart factory. Current approaches mainly focus on production control using real-time information from the shop floor, part of in-house PPC. We discuss the different layers of the cyber-physical PPC architecture and propose future research directions for the unexplored tasks and functions of the Aachen PPC model. Research limitations/implications: Limitations are the strong dependence of results on search terms used and the subjective eligibility assessment and assignment of publications to the Aachen PPC model. The selection of search terms and the texts’ interpretation is based on an individual’s assessment. The revelation of unexplored tasks and functions of the Aachen PPC model might have a different outcome if the search term combination is parameterized differently. Originality/value: Using the Aachen PPC model, which holistically models PPC, the findings give comprehensive insights into the current advances of tools, methods, and challenges relevant to planning and controlling production processes under Industry 4.0Peer Reviewe