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The last-mile delivery market is characterized by disruptive changes and trends, like the unstoppable enormous growth of e-commerce orders in the upcoming years as well as changing customer needs, demanding new delivery services like same-day or instant delivery. Based on these profound transformation of the market, new technologies are on the rise changing the area of overcoming the last mile– the delivery service to the customer’s home. One out of the most promising solutions is the usage of robots for the task of delivery. For a successful deployment of delivery robots, the end-consumer acceptance is of crucial importance. The acceptance and usage of the robot is mainly impacted by an individual’s trust towards them. Therefore, examining the creation of trust in delivery robots is of high importance for delivery companies, considering the implementation of such autonomous systems. 
The aim of the present research is to identify factors which influence an individual’s trust in delivery robots. Therefore, the following research question has been defined: which factors affect the degree of trust towards robots in the area of last-mile delivery?
Based on the trust theory, claiming that an individual’s level of trust depends on factors related to the trustor, the trustee and the trust situation, a research model has been developed, including several trust creating factors divided within the three overall categories. The categories have been adjusted to the case of last-mile delivery, namely: human-related factors, robot-related factors and situational factors. 
In order to answer the research question, an online survey has been conducted with end-consumers in the area of last-mile delivery. The participants responses have been analysed using a multiple regression analysis. The results revealed, that all of the three defined categories have an impact on the level of trust towards delivery robots. Individuals trust delivery robots more if they already perceive them as being useful for the task of delivery. Furthermore, a positive attitude towards new technologies in general supports the individuals trust in delivery robots. Individual’s also express a higher level of trust in delivery robots, when their upcoming actions are more predictable. Finally, individuals tend not to trust delivery robots to deliver hedonic goods, while they trust them to deliver utilitarian goods. 
Delivery companies considering the deployment of delivery robots should take into account the deployment of human-robot collaborations as well as implementing an opportunity to reveal the robots upcoming actions in order to overcome trust issues. Further research should focus on examining factors like gender, age, experience with autonomous systems and the area of living.

Robot CEP Ecommerce LastMile Last-Mile Delivery --- Sciences économiques & de gestion > Marketing

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E-commerce has opened a new era of how products are bought and delivered to customers. Vietnamese in general and Hanoian, in particular, have a habit of going to market every day for hundreds of years, to make sure that their daily food is fresh and safe to eat. However, now they no longer have to worry about how long it may take them to wait when buying a basket of fresh fruits via the internet, which they know might probably be stalled after just about half a day. 4-hour shipping or 2-hour shipping is becoming more familiar to online purchasers thanks to the development of advanced technology. 
Delivery time, which used to make Hanoian going out shopping by themselves to get things needed as soon as possible, now seems to encourage them just stay at home, scroll the screen, click to add to cart and pay when receiving what they buy. This significant innovation has set a higher level of satisfaction in the logistics and supply chain industry, with the expectation of customers in express delivery service of different businesses, making them become their regular buyers. It can be said that the shopping experience of customers today is completing with the same-day delivery service.

Same-day delivery --- Last-mile delivery --- Bottlenecks --- Logistics providers --- 3PLs --- E-Fulfillment --- Ha Noi --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique

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Last mile logistics (LML) is a very complex and inefficient part of logistics, thus this subject is often
studied in the literature. The subject of first mile logistics (FML) is also gaining interest, as its
complexity is increasing due to the growth of e-commerce. The objective of this thesis is to identify
first and last mile solutions that could improve the sustainability of these segments of logistics.
First, key performance indicators (KPIs) that can be used to measure the sustainability of the first
and last mile were identified and classified based on the three aspects of sustainability: economic,
environmental and social. Many of these indicators, such as the distance traveled and the CO2
emissions, are interrelated and can influence each other.
Then, several solutions were highlighted: crowdshipping, parcel lockers, electric vehicles (EVs),
cargo bikes, urban consolidation centers (UCCs) and passenger/freight transport integration. For
each solution, the benefits, KPIs impacted and barriers to its implementation were identified. The
results were obtained by analyzing the literature, and were validated and supplemented by
qualitative interviews with several logistics operators.
In practice, several solutions, such as electric vehicles and cargo bikes, can be used for the first mile
pickup, especially in the context of reverse logistics. We can also observe that these solutions are
often combined.
Finally, in the conclusion, the key results are summarized, the limitations of this thesis are presented
and areas for future research are suggested.

sustainability --- first mile pickup --- last mile delivery --- crowdshipping --- parcel lockers --- electric vehicles --- cargo bikes --- urban consolidation centers --- passenger/freight integration --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique

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Sustainable industrial engineering addresses the sustainability issue from economic, environmental, and social points of view. Its application fields are the whole value chain and lifecycle of products/services, from the development to the end-of-life stages. This book aims to address many of the challenges faced by industrial organizations and supply chains to become more sustainable through reinventing their processes and practices, by continuously incorporating sustainability guidelines and practices in their decisions, such as circular economy, collaboration with suppliers and customers, using information technologies and systems, tracking their products’ life-cycle, using optimization methods to reduce resource use, and to apply new management paradigms to help mitigate many of the wastes that exist across organizations and supply chains. This book will be of interest to the fast-growing body of academics studying and researching sustainability, as well as to industry managers involved in sustainability management.

Technology: general issues --- information and communication technologies --- green supply chain --- update and sustainable --- sustainability --- green degree --- game model --- sustainable supplier selection --- DEMATEL --- ANP --- fuzzy VIKOR --- IVTFN --- hybrid information aggregation --- TBL theory --- energy intensity --- income --- education --- eco-efficiency --- circular economy --- equipment development task --- foreseeable rework --- hidden rework --- uncertainty --- complexity --- blockchain --- supply chain --- use cases --- applications --- quality level --- reliability demonstration test --- Bayesian approach --- conjugacy --- beta-binomial distribution --- sequential sampling --- one-shot devices --- finite population --- express delivery service --- last mile delivery --- pricing --- collaboration --- market share --- reverse supply chain --- collection strategy --- waste mobile phones --- evolutionary game theory --- evolution mechanism --- reward-penalty mechanism --- ammunition incineration --- down-cycling --- energetic material recycling --- industrial ecology --- life-cycle assessment --- cap-and-trade --- production --- carbon emissions reduction --- consumers’ environmental preferences --- newsvendor model --- Lean Manufacturing --- Industry 4.0 --- economic --- environmental --- and social --- structure equations modeling --- sustainable global supply chain --- single- and multi-objective optimization method --- sustainability design constraint --- software application --- real case study --- pulp and paper industry --- comparative index --- cross-country analysis --- JIT implementation --- suppliers in JIT --- operational benefits --- human factor in JIT --- material flow --- structural equation model --- carbon credit --- environmental cost accounting --- pyrolysis --- solid waste --- vendor selection --- product life cycle --- multi-objective linear programming --- multi-choice goal programming --- additive manufacturing --- social change --- social impacts --- 3D printing --- rapid prototyping --- recycling investment strategy --- demand uncertainty --- Stochastic nonlinear Programming --- Monte-Carlo based sample average approximation method --- memetic algorithm --- industrial symbiosis --- potential industrial symbiosis --- eco-industrial parks --- sustainable supply chain management --- research methods --- scientific production --- metrics --- indicators

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Sustainable industrial engineering addresses the sustainability issue from economic, environmental, and social points of view. Its application fields are the whole value chain and lifecycle of products/services, from the development to the end-of-life stages. This book aims to address many of the challenges faced by industrial organizations and supply chains to become more sustainable through reinventing their processes and practices, by continuously incorporating sustainability guidelines and practices in their decisions, such as circular economy, collaboration with suppliers and customers, using information technologies and systems, tracking their products’ life-cycle, using optimization methods to reduce resource use, and to apply new management paradigms to help mitigate many of the wastes that exist across organizations and supply chains. This book will be of interest to the fast-growing body of academics studying and researching sustainability, as well as to industry managers involved in sustainability management.

Technology: general issues --- information and communication technologies --- green supply chain --- update and sustainable --- sustainability --- green degree --- game model --- sustainable supplier selection --- DEMATEL --- ANP --- fuzzy VIKOR --- IVTFN --- hybrid information aggregation --- TBL theory --- energy intensity --- income --- education --- eco-efficiency --- circular economy --- equipment development task --- foreseeable rework --- hidden rework --- uncertainty --- complexity --- blockchain --- supply chain --- use cases --- applications --- quality level --- reliability demonstration test --- Bayesian approach --- conjugacy --- beta-binomial distribution --- sequential sampling --- one-shot devices --- finite population --- express delivery service --- last mile delivery --- pricing --- collaboration --- market share --- reverse supply chain --- collection strategy --- waste mobile phones --- evolutionary game theory --- evolution mechanism --- reward-penalty mechanism --- ammunition incineration --- down-cycling --- energetic material recycling --- industrial ecology --- life-cycle assessment --- cap-and-trade --- production --- carbon emissions reduction --- consumers’ environmental preferences --- newsvendor model --- Lean Manufacturing --- Industry 4.0 --- economic --- environmental --- and social --- structure equations modeling --- sustainable global supply chain --- single- and multi-objective optimization method --- sustainability design constraint --- software application --- real case study --- pulp and paper industry --- comparative index --- cross-country analysis --- JIT implementation --- suppliers in JIT --- operational benefits --- human factor in JIT --- material flow --- structural equation model --- carbon credit --- environmental cost accounting --- pyrolysis --- solid waste --- vendor selection --- product life cycle --- multi-objective linear programming --- multi-choice goal programming --- additive manufacturing --- social change --- social impacts --- 3D printing --- rapid prototyping --- recycling investment strategy --- demand uncertainty --- Stochastic nonlinear Programming --- Monte-Carlo based sample average approximation method --- memetic algorithm --- industrial symbiosis --- potential industrial symbiosis --- eco-industrial parks --- sustainable supply chain management --- research methods --- scientific production --- metrics --- indicators