Service Engineering For Gastronomic Sciences

This pioneering book on food study pursues an interdisciplinary approach to service science and the service engineering field. Further, it highlights a range of experiments conducted at actual business sites to verify the effectiveness of the proposed methodologies and theories. In modern society, food study has become more complex, as it involves multiple fields of science. For instance, a long-lived society entails a number of problems for human beings. A balanced intake of nutrients is important for a healthy life, but in many cases, healthy food is not the most enjoyable. As such, it is important for the food industry to provide foods that are both tasty and wholesome, based on the sciences of gastronomy and nutrition. Conventional food study proceeds along the lines of a specific field such as nutrition, agriculture, or gastronomy, though it should be conducted in an interdisciplinary manner. This book covers multifaceted research on food study to respond to today’s societal demands, based mainly on the natural and social sciences. It addresses a wide range of topics, including: food production management using mathematical modeling, operations research, and production engineering; evaluation of food products based on big data analysis; psychological experiments and ethnography; food products based on consumer behavior; organoleptic assessment and health improvement; design of physical dining environments using virtual reality, pedestrian debt recognition (human indoor position measuring), and observation of behavior. Reporting on and assessing many studies conducted at actual business locations, the book offers a unique and highly practical resource.

This pioneering book on food study pursues an interdisciplinary approach to service science and the service engineering field. Further, it highlights a range of experiments conducted at actual business sites to verify the effectiveness of the proposed methodologies and theories. In modern society, food study has become more complex, as it involves multiple fields of science. For instance, a long-lived society entails a number of problems for human beings. A balanced intake of nutrients is important for a healthy life, but in many cases, healthy food is not the most enjoyable. As such, it is important for the food industry to provide foods that are both tasty and wholesome, based on the sciences of gastronomy and nutrition. Conventional food study proceeds along the lines of a specific field such as nutrition, agriculture, or gastronomy, though it should be conducted in an interdisciplinary manner. This book covers multifaceted research on food study to respond to todays societal demands, based mainly on the natural and social sciences. It addresses a wide range of topics, including: food production management using mathematical modeling, operations research, and production engineering; evaluation of food products based on big data analysis; psychological experiments and ethnography; food products based on consumer behavior; organoleptic assessment and health improvement; design of physical dining environments using virtual reality, pedestrian debt recognition (human indoor position measuring), and observation of behavior. Reporting on and assessing many studies conducted at actual business locations, the book offers a unique and highly practical resource.

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

Innovation Strategies for the Food Industry: Tools for Implementation, Second Edition explores how process technologies and innovations are implemented in the food industry, by i.e., detecting problems and providing answers to questions of modern applications. As in all science sectors, Internet and big data have brought a renaissance of changes in the way academics and researchers communicate and collaborate, and in the way that the food industry develops. The new edition covers emerging skills of food technologists and the integration of food science and technology knowledge into the food chain. This handbook is ideal for all relevant actors in the food sector (professors, researchers, students and professionals) as well as for anyone dealing with food science and technology, new products development and food industry. Includes the latest trend on training requirements for the agro-food industry Highlights new technical skills and profiles of modern food scientists and technologists for professional development Presents new case studies to support research activities in the food sector, including product and process innovation Covers topics on collaboration, entrepreneurship, Big Data and the Internet of Things

In a single volume, the new edition of this guide gives comprehensive coverage of the developments within the fast-changing field of professional, academic and vocational qualifications. career fields, their professional and accrediting bodies, levels of membership and qualifications, and is a one-stop guide for careers advisors, students and parents. It should also enable human resource managers to verify the qualifications of potential employees.

Agri-Food 4.0: Innovations, Challenges and Strategies addresses new research on digital technologies in the Agri-Food industry, including smart packaging, smart warehousing, effective inventory control, blockchain technology, artificial intelligence, and other Industry 4.0 concepts.