For example, McDonals goes through the window, where a single line is formed and one person takes the order, another person prepares it, and the third delivers the order to the customer. Many operations management systems can be formulated as waiting line models (also called queue models). The most common situations occur in service systems, such as banks, medical clinics, and supermarkets. However, some wait situations are integrated into manufacturing systems, such as when mechanics go to a tool magazine to get the tools needed for the next job or in the typical programming of a machine for a variety of jobs.
In all of these situations, someone or something must wait in line to receive service. The service is provided by a processing system, followed by an exit process, our typical in-and-out processing model for a productive system. It refers to, and encompasses, all the different ways in which customers learn, form impressions and attitudes about a service organization, as a consequence not only of its marketing activities per se, but also, and most importantly, of its service and delivery operations, that is, the process, the people and the physical evidence. It is important for marketers to understand that operations and service delivery must be planned and managed taking into account what is required for an organization to operate smoothly and efficiently, and also cost-effectively, but also considering how these decisions will affect and will influence customers.
The ITS-ETO service system uses advances in communication and information systems (technology and information enabler) to access essential data in real time on conditions on routes along the affected area and coordinate operational and logistical strategies in cooperation with all service entities ( organization processes). The output speed of such systems depends on the interaction between random arrivals and variable service times, and waiting line models are used to predict these values. In an Intelligent Transportation System: Emergency Transport Operation (ITS-ETO), the goal of the service is to provide safe evacuation, immediate medical care and better emergency management service. In this scenario, the company's internal organization and employees are integrated into the service value chain/service value chain to benefit customers and stakeholders/stakeholders.
The service systems engineering discipline can inform the discussion and offer possible multidisciplinary environments, environments and transdisciplinary solutions. If an element of the linear operation is defective or has bottlenecks, the customer will judge the service as a whole based on this weak area. Figures 2, 2 and 2, 3 show the service marketing system for high and low touch services, respectively, and highlight several factors that influence customer perceptions, attitudes and behavior. Includes what happens behind the scenes and in the presence of a customer to create and process the service.
Although this is perhaps the simplest service process to understand, it has several drawbacks. The human element of customer contact influences the complexity and variability of the service process. The typical industry example given of this progression to services is the company International Business Machines (IBM). These typical service time distributions reflect the variety of tasks involved in a consultation, depending on the nature of the patient's complaint.
In this service model, Philips installs the entire lighting system, who retains ownership of the hardware and contracts the use (light) from the customer. The Internet of the future will provide location-independent, interoperable, scalable, scalable, secure and efficient access to a coordinated set of services (Tselentis et al. .