The purpose of the research was to determine the sequencing of the production of n jobs in m operations in a small footwear company in an environment of flow shop machine characteristics, which optimizes the total time of completion of the job in the production system (Makespan). We used heuristic algorithms that were applied through Lekin and WinQSB softwares, and for the optimization algorithm we designed a mathematical model that was solved by Juliabox software. Results show that the integer linear programming and local search minimize the makespan with 3807 minutes, and different production sequences for each algorithm, which consider permutation, which improves the traditional way of programming the production in 97 minutes, however, the optimization presents better results in the performance measures of average waiting time, average time of flow, and average job in process. Application of heuristic algorithms proves to be simple and fast, but the mathematical model of optimization designed and encoded in the software is a flexible and valuable tool for decision making in production programming, which could be applied in other footwear companies, and in other productive sectors whose companies have the same characteristics of the case study, reducing costs and improving delivery times.

Sin duda, ver los sistemas de salud desde la perspectiva de la investigación de operaciones impone nuevos retos que no son insalvables. Hay en los sistemas de salud desafíos y dilemas a los que quizás antes no nos veíamos enfrentados al trabajar en otras industrias o servicios. Desde dilemas éticos, causados por la naturaleza del servicio de salud como un derecho fundamental, bien sea porque en las decisiones que se modelan muchas veces están involucradas las vidas y el bienestar de los pacientes, o porque los objetivos de los sistemas de salud van más allá de la rentabilidad o la disminución de costos a los que estamos comúnmente acostumbrados (v. g., mejorar la cobertura o lograr equidad). Por otro lado, entender los sistemas de salud y las decisiones que en ellos se toman (para el tratamiento de los pacientes, para la planeación de las operaciones de los servicios o para la definición de políticas públicas) exige apropiarse de conocimientos que son ajenos a la formación tradicional en investigación de operaciones. Por fortuna, esto último exige la conformación de equipos multidisciplinarios, con personal asistencial (médicos, enfermeras, instrumentadores, terapeutas, etc.), con epidemiólogos, con funcionarios del Estado, con expertos en sistemas de información, calidad y acreditación en salud, entre otros. En estos equipos es también importante la investigación de operaciones, pues los complementa aportando una visión cuantitativa, analítica e ingenieril que algunas veces no tienen.

No abstract

Emergency medical service (EMS) systems play a fundamental role in society by providing a vital service in initial emergency care. The purpose of this research is to present the first literature review of hospital selection operational decision within the context of the EMS system. The main findings were the following: The hospital selection problem is integrated with the location, dispatch, routing, and size of the ambulance fleet. The main selection criteria were closeness, hospital care capacities and the shortest queue or greatest number of free beds. The most used performance measures were the shortest transport and waiting time. Solution techniques include discrete event simulation, queuing models, mixed linear integer programming, and CPLEX and Arena software. The application of metaheuristics is scarce; mobile applications and Internet information systems have been implemented for real-time decision making. It is recommended that the design of hospital selection methods be implemented as well as the technological developments, considering the participation of the actors of the EMS system.