INTRODUCING AN INDUCTION HEAT BASED PELLET PROGRAM INTO A HEALTHCARE FOOD DELIVERY SYSTEM

2003 ◽  
Vol 103 ◽  
pp. 203
Author(s):  
T. Wagstaff
2021 ◽  
Vol 11 (3) ◽  
pp. 66-69
Author(s):  
DADAPEER P ◽  
RAMANJANEYULU N

Getting food through online food apps has gained momentum in recent times. Online tools have shown a new perspective on the food industry. Online allows consumers to choose the food of their choice anytime, anywhere. Facilities like net banking and digital wallet payments, cash on delivery and minimum order value attract the customer well. Distances between City and Village have been reduced due to the widespread use of smart phones. Companies are making their services available online according to the convenience and preference of the customer to keep pace with the changing times. Due to the present Covid-19 pandemic situation, the online food delivery system is gaining momentum. In this research, we will specifically look at the growth and significance of digital apps in food delivery systems operated by food companies in India in specific and some of the approaches they can accept for maintainable business in the coming days and challenges faced by the company.


2009 ◽  
Vol 70 (4) ◽  
pp. 200-203 ◽  
Author(s):  
Karen Kuperberg ◽  
Diana Mager ◽  
Susan Dello

Patient food service is an important component in the nutritional management of hospitalized children. The previous meal delivery system at The Hospital for Sick Children in Toronto was a cold-plating re-thermalized system. Issues related to this model included order lead time, the reheating process, menu selection, and service style. Research into other systems led us toward room service, an innovative and flexible mode of meal delivery. Transformation to room service occurred over one year, and included implementation of a new computer system, kitchen renovation, redesign of menus and a new meal delivery system called Meal Train, and changes to human resource allocations. Throughout the transformation, consultations were held with key stakeholders, including the children’s council, the family advisory, the nursing council, and a multidisciplinary committee involving nursing staff, dietitians, patient service aides, infection control personnel, occupational health employees, patient representatives, and food services staff. Now, Meal Train is running smoothly, and meal days and food costs have been reduced. Others considering a project like this must know their clients’ needs and be willing to think outside the box. They should familiarize themselves with current information on systems and equipment, consult with key stakeholders within their organization, and then create the system that will work for them.


2021 ◽  
Author(s):  
Amal Wijenayaka

As a new food delivery system has emerged to capture a larger share of the industry's sales, the online food delivery sector has risen. This new business delivery system has gained widespread acceptance, particularly among young, active, and hardworking individuals. Furthermore, this business has become more competitive due to the increasing number of new business entries and the expectations of users as a result of the anxiety associated with online ordering and the convenience of ordering at any time. In order to succeed in this emerging market, Customers require online service providers to understand the true nature and requirements of their customers and all essential points of the online service industry. This study aims to gather the information that will assist online food service providers to understand the requirements and characteristics of this new service delivery system, which is currently under development. The purpose of this study is to examine the relationships between customers' perceived service quality for online food delivery and its effect on customer satisfaction by adopting a questionnaire from the Mobile Service Quality Study (M-S-QUAL).


2021 ◽  
Author(s):  
Farah Samouh

This thesis focuses on exploring the emerging automated technologies for last-mile on-demand food delivery as a new means of transportation to reduce congestion in urban areas. In order to achieve that 4 systems are designed and evaluated: Robot delivery system, drone delivery system and two hybrid delivery systems. Both hybrid systems are based on hub-spoke networks, Hybrid System 1.0 uses robots for phase one of the delivery and drones for phase two Hybrid System 2.0 uses drones for phase one and robots for phase two. To evaluate the efficiency of these systems, an in-house agent-based simulation model in MATLAB is developed for the City of Mississauga. 30 scenarios are tested differing in terms of demand and fleet size. The results show that Hybrid system 2.0 is the most efficient system of all four proposed due to the use of hub, customer waiting time and landing zones for drones.


2019 ◽  
Vol 16 (2) ◽  
pp. 136-143
Author(s):  
Nabila Nastiti ◽  
Indira Rachmawati

ABSTRACTThe existence of e-commerce in Indonesia makes it easy for everyone to access and get the products or services they need. One of the e-commerce game changers in Indonesia is GO-JEK which also drives Go-Food as the largest food delivery service currently in Indonesia. This study aims to determine the value of customers to Hedonic Motivation variables, prior Online Purchasing Experience, Time Savings Orientation, and Price Savings Orientation, Motivational Comfort and Usage Utility, Attitude to Online Food Delivery Service (AODS). Behavior Intention on Online Food Delivery Service (BIOFDS), Convenience Motivation, Affects Usage Post-Use. And to know Attitude variable to Online Food Delivery Service. Purposive sampling was used in this study with 400 valid questionnaires which contain 29 items question that have been distributed online. Partial Least Square (PLS) was used in this study. Two variables, price saving orientation to convenience motivation and convenience motivation towards attitude have no positive effect. Convenience motivation has the biggest positive relationship to behavioral intention towards online food delivery service.Keywords: convenience motivation, post-usage usefulness, attitude towards online food delivery system, behavioral intention towards food delivery system ABSTRAKKeberadaan e-commerce di Indonesia memudahkan semua orang untuk mengakses dan mendapatkan produk atau layanan yang mereka butuhkan. Salah satu pengubah permainan e-commerce di Indonesia adalah GO-JEK yang juga menjadikan Go-Food sebagai layanan pengiriman makanan terbesar saat ini di Indonesia. Penelitian ini bertujuan untuk menentukan nilai pelanggan terhadap variabel Motivasi Hedonic, Pengalaman Pembelian Online sebelumnya, Orientasi Penghematan Waktu, dan Orientasi Penghematan Harga, Kenyamanan Motivasi dan Utilitas Penggunaan, Sikap terhadap Layanan Pengiriman Makanan Online (AODS). Niat Perilaku pada Layanan Pengiriman Makanan Online (BIOFDS), Motivasi Kenyamanan, Mempengaruhi Penggunaan Pasca Penggunaan. Dan untuk mengetahui variabel Attitude terhadap Layanan Pengiriman Makanan Online. Purposive sampling digunakan dalam penelitian ini dengan 400 kuesioner yang valid yang berisi 29 item pertanyaan yang telah didistribusikan secara online. Partial Least Square (PLS) digunakan dalam penelitian ini. Dua variabel, orientasi penghematan harga untuk motivasi kenyamanan dan motivasi kenyamanan terhadap sikap tidak memiliki efek positif. Motivasi kenyamanan memiliki hubungan positif terbesar dengan niat perilaku terhadap layanan pengiriman makanan online.Kata Kunci: motivasi kenyamanan, kegunaan pasca penggunaan, sikap terhadap sistem pengiriman makanan online, niat perilaku terhadap sistem pengiriman makanan


Author(s):  
Yang Yu ◽  
Qingte Zhou ◽  
Shenglin Yi ◽  
Huanyu Zheng ◽  
Shengyao Wang ◽  
...  

Author(s):  
Xuanke You ◽  
Lan Zhang ◽  
Haikuo Yu ◽  
Mu Yuan ◽  
Xiang-Yang Li

Leveraging sensor data of mobile devices and wearables, activity detection is a critical task in various intelligent systems. Most recent work train deep models to improve the accuracy of recognizing specific human activities, which, however, rely on specially collected and accurately labeled sensor data. It is labor-intensive and time-consuming to collect and label large-scale sensor data that cover various people, mobile devices, and environments. In production scenarios, on the one hand, the lack of accurately labeled sensor data poses significant challenges to the detection of key activities; on the other hand, massive continuously generated sensor data attached with inexact information is severely underutilized. For example, in an on-demand food delivery system, detecting the key activity that the rider gets off his/her motorcycle to hand food over to the customer is essential for predicting the exact delivery time. Nevertheless, the system has only the raw sensor data and the clicking "finish delivery" events, which are highly relevant to the key activity but very inexact, since different riders may click "finish delivery" at any time in the last-mile delivery. Without exact labels of key activities, in this work, we propose a system, named KATN, to detect the exact regions of key activities based on inexact supervised learning. We design a novel siamese key activity attention network (SAN) to learn both discriminative and detailed sequential features of the key activity under the supervision of inexact labels. By interpreting the behaviors of SAN, an exact time estimation method is devised. We also provide a personal adaptation mechanism to cope with diverse habits of users. Extensive experiments on both public datasets and data from a real-world food delivery system testify the significant advantages of our design. Furthermore, based on KATN, we propose a novel user-friendly annotation mechanism to facilitate the annotation of large-scale sensor data for a wide range of applications.


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