Using real-time truck transportation information to predict customer rejections and refrigeration-system fuel efficiency in packaged salad distribution

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2011.Cataloged from PDF version of thesis.Includes bibliographical references (p. 139-141).Companies that operate cold supply chains can greatly benefit from information availability and data generation. The abundance of information now available to cold chain operators and harvested from every echelon of the supply chain, ranging from the procurement process to the sales and customer service processes, provides an opportunity for logistics organizations to monitor and improve their operations. It is increasingly imperative to transform data into meaningful information that creates a competitive advantage for early adopters. This thesis attempts to determine how to make best use of and effectively interpret the information generated by trailer mounted temperature sensors and geospatial data collection devices during refrigerated transportation of packaged salads. The study covers only the transportation segment from the manufacturer's distribution center to the customer's (grocery retailer) distribution center. This thesis uses regression analysis in an effort to create a model that effectively uses realtime transportation information to identify the elements that can create a competitive advantage for cold chain operators. The main performance measurements subject to analysis in this thesis are reefer-unit fuel consumption and rejections of salad products at the customer's drop location. Regression yields a formula that can predict more than 70% reefer fuel consumption. However, with the independent variables available in the data at our disposal, it is not possible to build a model the effectively predicts product rejections. The findings of this thesis can help operators of transportation cold chains better manage fuel consumption by isolating and improving the independent variables we identified.by Carlos Seminario and Emmanuel Marks.M.Eng.in Logistic

Field operational test of the Freightliner/Meritor WABCO Roll Stability Advisor & Control at Praxair

Notes: September 2002Notes: Includes bibliographical references (p. 215-216)Notes: Final report: October 1999 to September 2002Full Text: Vehicle DynamicsDepartment of Transportation, Washington, D.C.Federal Highway Administration, Washington, D.C.http://deepblue.lib.umich.edu/bitstream/2027.42/1502/2/96243.0001.001.pd

IoT and Sensor Networks in Industry and Society

The exponential progress of Information and Communication Technology (ICT) is one of the main elements that fueled the acceleration of the globalization pace. Internet of Things (IoT), Artificial Intelligence (AI) and big data analytics are some of the key players of the digital transformation that is affecting every aspect of human's daily life, from environmental monitoring to healthcare systems, from production processes to social interactions. In less than 20 years, people's everyday life has been revolutionized, and concepts such as Smart Home, Smart Grid and Smart City have become familiar also to non-technical users. The integration of embedded systems, ubiquitous Internet access, and Machine-to-Machine (M2M) communications have paved the way for paradigms such as IoT and Cyber Physical Systems (CPS) to be also introduced in high-requirement environments such as those related to industrial processes, under the forms of Industrial Internet of Things (IIoT or I2oT) and Cyber-Physical Production Systems (CPPS). As a consequence, in 2011 the German High-Tech Strategy 2020 Action Plan for Germany first envisioned the concept of Industry 4.0, which is rapidly reshaping traditional industrial processes. The term refers to the promise to be the fourth industrial revolution. Indeed, the first industrial revolution was triggered by water and steam power. Electricity and assembly lines enabled mass production in the second industrial revolution. In the third industrial revolution, the introduction of control automation and Programmable Logic Controllers (PLCs) gave a boost to factory production. As opposed to the previous revolutions, Industry 4.0 takes advantage of Internet access, M2M communications, and deep learning not only to improve production efficiency but also to enable the so-called mass customization, i.e. the mass production of personalized products by means of modularized product design and flexible processes. Less than five years later, in January 2016, the Japanese 5th Science and Technology Basic Plan took a further step by introducing the concept of Super Smart Society or Society 5.0. According to this vision, in the upcoming future, scientific and technological innovation will guide our society into the next social revolution after the hunter-gatherer, agrarian, industrial, and information eras, which respectively represented the previous social revolutions. Society 5.0 is a human-centered society that fosters the simultaneous achievement of economic, environmental and social objectives, to ensure a high quality of life to all citizens. This information-enabled revolution aims to tackle today’s major challenges such as an ageing population, social inequalities, depopulation and constraints related to energy and the environment. Accordingly, the citizens will be experiencing impressive transformations into every aspect of their daily lives. This book offers an insight into the key technologies that are going to shape the future of industry and society. It is subdivided into five parts: the I Part presents a horizontal view of the main enabling technologies, whereas the II-V Parts offer a vertical perspective on four different environments. The I Part, dedicated to IoT and Sensor Network architectures, encompasses three Chapters. In Chapter 1, Peruzzi and Pozzebon analyse the literature on the subject of energy harvesting solutions for IoT monitoring systems and architectures based on Low-Power Wireless Area Networks (LPWAN). The Chapter does not limit the discussion to Long Range Wise Area Network (LoRaWAN), SigFox and Narrowband-IoT (NB-IoT) communication protocols, but it also includes other relevant solutions such as DASH7 and Long Term Evolution MAchine Type Communication (LTE-M). In Chapter 2, Hussein et al. discuss the development of an Internet of Things message protocol that supports multi-topic messaging. The Chapter further presents the implementation of a platform, which integrates the proposed communication protocol, based on Real Time Operating System. In Chapter 3, Li et al. investigate the heterogeneous task scheduling problem for data-intensive scenarios, to reduce the global task execution time, and consequently reducing data centers' energy consumption. The proposed approach aims to maximize the efficiency by comparing the cost between remote task execution and data migration. The II Part is dedicated to Industry 4.0, and includes two Chapters. In Chapter 4, Grecuccio et al. propose a solution to integrate IoT devices by leveraging a blockchain-enabled gateway based on Ethereum, so that they do not need to rely on centralized intermediaries and third-party services. As it is better explained in the paper, where the performance is evaluated in a food-chain traceability application, this solution is particularly beneficial in Industry 4.0 domains. Chapter 5, by De Fazio et al., addresses the issue of safety in workplaces by presenting a smart garment that integrates several low-power sensors to monitor environmental and biophysical parameters. This enables the detection of dangerous situations, so as to prevent or at least reduce the consequences of workers accidents. The III Part is made of two Chapters based on the topic of Smart Buildings. In Chapter 6, Petroșanu et al. review the literature about recent developments in the smart building sector, related to the use of supervised and unsupervised machine learning models of sensory data. The Chapter poses particular attention on enhanced sensing, energy efficiency, and optimal building management. In Chapter 7, Oh examines how much the education of prosumers about their energy consumption habits affects power consumption reduction and encourages energy conservation, sustainable living, and behavioral change, in residential environments. In this Chapter, energy consumption monitoring is made possible thanks to the use of smart plugs. Smart Transport is the subject of the IV Part, including three Chapters. In Chapter 8, Roveri et al. propose an approach that leverages the small world theory to control swarms of vehicles connected through Vehicle-to-Vehicle (V2V) communication protocols. Indeed, considering a queue dominated by short-range car-following dynamics, the Chapter demonstrates that safety and security are increased by the introduction of a few selected random long-range communications. In Chapter 9, Nitti et al. present a real time system to observe and analyze public transport passengers' mobility by tracking them throughout their journey on public transport vehicles. The system is based on the detection of the active Wi-Fi interfaces, through the analysis of Wi-Fi probe requests. In Chapter 10, Miler et al. discuss the development of a tool for the analysis and comparison of efficiency indicated by the integrated IT systems in the operational activities undertaken by Road Transport Enterprises (RTEs). The authors of this Chapter further provide a holistic evaluation of efficiency of telematics systems in RTE operational management. The book ends with the two Chapters of the V Part on Smart Environmental Monitoring. In Chapter 11, He et al. propose a Sea Surface Temperature Prediction (SSTP) model based on time-series similarity measure, multiple pattern learning and parameter optimization. In this strategy, the optimal parameters are determined by means of an improved Particle Swarm Optimization method. In Chapter 12, Tsipis et al. present a low-cost, WSN-based IoT system that seamlessly embeds a three-layered cloud/fog computing architecture, suitable for facilitating smart agricultural applications, especially those related to wildfire monitoring. We wish to thank all the authors that contributed to this book for their efforts. We express our gratitude to all reviewers for the volunteering support and precious feedback during the review process. We hope that this book provides valuable information and spurs meaningful discussion among researchers, engineers, businesspeople, and other experts about the role of new technologies into industry and society

Crossroads 2000 Proceedings, 1998

Crossroads 2000 was the second biennial transportation research conference cosponsored by the Center for Transportation Research and Education (CTRE) at Iowa State University and the Iowa Department of Transportation. This proceedings is the set of papers presented at the conference. Twenty-five categories of papers were presented in five concurrent sessions. Reflecting the increasingly critical role of intelligent transportation systems (ITS) in maintaining and enhancing transportation safety and efficiency, one category in each concurrent session addressed an area of ITS. However, papers were included from all areas of interest, ranging from transportation infrastructure design to transportation policy. The proceedings contains 58 papers

Investigating the relationship between post-injury occupational change and persistent occupational identity: A mixed methodological study combining quantitative analysis of a survey of adult Australians with qualitative analysis of interviews with Truck Drivers who have experienced occupational change

The literature regarding occupational change indicates that identification with one occupation can present a barrier to making the change to another. Rehabilitation Counsellors are often given the responsibility of assisting individuals to make that change, usually through vocational counselling. The principles which underpin the conduct of vocational counselling commonly do not include consideration of the effect of persistent occupational identity on occupational change. While the concept of occupational identity has been the topic of extensive research for several decades there is no consensus regarding its definition, or how it is different from related concepts and very limited research into how it may influence the outcome of attempted occupational change after injury. Consequently, this study had three aims. Clarification of what occupational identity is; an examination of the experience of occupational identity; and an exploration of its influence on post-injury experiences of occupational change. A mixed methodological approach was adopted consisting of a quantitative analysis of survey data, and qualitative analyses of the experience of occupational identity and post-injury attempts at returning to a more suitable occupation. The survey involved 336 participants who provided demographic details relevant to their working life and an assessment of the level of their occupational identity. Analyses of chi-squared tests indicated that gender, level of educational qualification, employment status and occupational type were influential on the level of occupational identity. As a result of these analyses, recommendations are presented for how occupational identity might be defined and differentiated from related concepts. The qualitative analyses consisted of semi-structured interviews with 11 Truck Drivers who had experience of career disruption due to injury. An Interpretative Phenomenological Analysis method was used to identify themes connecting the experience of both occupational identity and attempts at occupational change. Several themes relevant to occupational identity were identified, including the involvement of a specific agent in its genesis, and a sense of power associated with its maintenance. Themes relevant to occupational change confirmed that a persistent occupational identity presented a substantial barrier to a successful change to a more suitable occupation. As a result of these analyses, recommendations are made for the enhancement of vocational counselling strategies. The implications of a persistent occupational identity on the negotiation of other biographical disruptions are raised as it has the potential to be prevent changes of occupation occasioned by a range of other life changing events

Asperger's Syndrome And Fiction - Autistic Worlds And Those Who Build Them

Do tangible, testable links exist between the autistic spectrum and creativity? How would such links work from the perspective of an author with Asperger's Syndrome? To what degree would autism mould the author's work, and how would it affect writing technique and style compared to neurotypical (non autistic spectrum authors)? Do these links provide a tangible advantage? Can an Asperger's author successfully engage a non-Asperger's readership? Has Asperger's become fashionable in fiction and if so what are the benefits/consequences? Can an “extraterrestrial stranded without an orientation manual”1 communicate ideas in a meaningful way to non-autistics? Asperger's Syndrome is a form of high functioning autism where those affected express a range of social, behavioural and perceptual traits which have no actual bearing on their level of intelligence. As an author with Asperger's my intention is to examine the degree to which my autism affects my writing technique and style compared to neurotypical (non autistic) creatives. Asperger's sufferers lack empathy and social skills, therefore creating situations a reader can empathise with is challenging. To an Asperger's other people are 'aliens'. If the characters and scenarios in my work are coloured by my difference, then it may be the difference itself which provides the hook for the reader. To what extent do Asperger's authors need to 'pretend to be normal' in order to engage a neurotypical reader, or to make their work generally marketable? Is there an argument that they shouldn't even try? With increasing diagnosis and better understanding of the autistic spectrum, the Asperger's limited but intense range of interests and ability to focus without human distraction might link in to creative excellence that has an appeal far beyond the boundaries of the autistic spectrum. The purpose of this thesis is to investigate whether claims of autistic links to creativity are more than heresay. I examine alleged positive evidence for these links, and see how this evidence ties in with my experience both as an Asperger's and an author, with particular regard to my decisions in crafting my novel The Ghost Land

Low-Carbon City Policy Databook: 72 Policy Recommendations for Chinese Cities from the Benchmarking and Energy Savings Tool for Low Carbon Cities

This report is designed to help city authorities evaluate and prioritize more than 70 different policy strategies that can reduce their city’s energy use and carbon-based greenhouse gas emissions of carbon dioxide (CO2) and methane (CH4). Local government officials, researchers, and planners can utilize the report to identify policies most relevant to local circumstances and to develop a low carbon city action plan that can be implemented in phases, over a multi-year timeframe. The policies cover nine city sectors: industry, public and commercial buildings, residential buildings, transportation, power and heat, street lighting, water & wastewater, solid waste, and urban green space. See Table 1 for a listing of the policies. Recognizing the prominence of urban industry in the energy and carbon inventories of Chinese cities, this report includes low carbon city policies for the industrial sector. The policies gathered here have proven effective in multiple locations around the world and have the potential to achieve future energy and carbon savings in Chinese cities

Exploratory research into supply chain voids within Welsh priority business sectors

The paper reports the findings resulting from the initial stages of an exploratory investigation into Supply Chain Voids (SCV) in Wales. The research forms the foundations of a PhD thesis which is framed within the sectors designated as important by the Welsh Assembly Government (WAG) and indicates local supplier capability voids within their supply chains. This paper covers the stages of initial data gathering, analysis and results identified between June 2006 and April 2007, whilst addressing the first of four research questions. Finally, the approach to address future research is identified in order to explain how the PhD is to progress