Working Papers on Operations Management - Vol. 12 (1)-2021
Tabla de contenidos
- Design and Development of a Genetic Algorithm Based on Fuzzy Inference Systems for Personnel Assignment Problem
- Impact of Green Initiatives on the Financial Performance of Small and Medium Enterprises: The Case of Manufacturing Firm in Central Luzon
- Teaching experiences based on action research: a guide to publishing in scientific journals
- Analysis of the motivation policy from a gender perspective
- A data generator for covid-19 patients’ care requirements inside hospitals
URI permanente para esta colecciónhttps://riunet.upv.es/handle/10251/167238
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Item type: Artículo , Access status: Abierto , A data generator for covid-19 patients’ care requirements inside hospitals(Universitat Politècnica de València, 2021-06-02) Marin-Garcia, Juan A.; Ruiz, Angel; Maheut, Julien; García Sabater, José Pedro; Departamento de Organización de Empresas; Escuela Técnica Superior de Ingeniería Industrial; Grupo de Investigación en Reingeniería, Organización, trabajo en Grupo y Logística Empresarial - ROGLE[EN] A Spanish version of the article is provided (see section before references). This paper presents the generation of a plausible data set related to the needs of COVID-19 patients with severe or critical symptoms. Possible illness’ stages were proposed within the context of medical knowledge as of January 2021. The parameters chosen in this data set were customized to fit the population data of the Valencia region (Spain) with approximately 2.5 million inhabitants. They were based on the evolution of the pandemic between September 2020 and March 2021, a period that included two complete waves of the pandemic. Contrary to expectation and despite the European and national transparency laws (BOE-A2013-12887, 2013; European Parliament and Council of the European Union, 2019), the actual COVID-19 pandemic-related data, at least in Spain, took considerable time to be updated and made available (usually a week or more). Moreover, some relevant data necessary to develop and validate hospital bed management models were not publicly accessible. This was either because these data were not collected, because public agencies failed to make them public (despite having them indexed in their databases), the data were processed within indicators and not shown as raw data, or they simply published the data in a format that was difficult to process (e.g., PDF image documents versus CSV tables). Despite the potential of hospital information systems, there were still data that were not adequately captured within these systems. Moreover, the data collected in a hospital depends on the strategies and practices specific to that hospital or health system. This limits the generalization of "real" data, and it encourages working with "realistic" or plausible data that are clean of interactions with local variables or decisions (Gunal, 2012; Marin-Garcia et al., 2020). Besides, one can parameterize the model and define the data structure that would be necessary to run the model without delaying till the real data become available. Conversely, plausible data sets can be generated from publicly available information and, later, when real data become available, the accuracy of the model can be evaluated (Garcia-Sabater and Maheut, 2021). This work opens lines of future research, both theoretical and practical. From a theoretical point of view, it would be interesting to develop machine learning tools that, by analyzing specific data samples in real hospitals, can identify the parameters necessary for the automatic prototyping of generators adapted to each hospital. Regarding the lines of research applied, it is evident that the formalism proposed for the generation of sound patients is not limited to patients affected by SARS-CoV-2 infection. The generation of heterogeneous patients can represent the needs of a specific population and serve as a basis for studying complex health service delivery systems.Item type: Artículo , Access status: Abierto , Analysis of the motivation policy from a gender perspective(Universitat Politècnica de València, 2021-06-02) Moreno Cervera, Ana Paula; Canós-Darós, Lourdes; Guijarro, Ester; Centro de Investigación en Gestión de Empresas (CEGEA); Departamento de Organización de Empresas; Facultad de Administración y Dirección de Empresas; Grupo de Investigación en Reingeniería, Organización, trabajo en Grupo y Logística Empresarial - ROGLE[EN] The main objective of this paper is to present a method to analyze the motivational policy based on a gender perspective. To do this, we carry out the study of the motivating factors with the greatest presence in the company and the individual analysis of each one of them. We continue with their assessment based on the importance they have for each worker in their job position, using an adequacy coefficient as a measurement tool, comparing this assessment with the ideal of the company. We continue to show different results depending on the level of assessment of the motivational factors and comparing the answers according to the age, gender, etc., of the employees. From the analysis we observe that there are differences in the selection of factors and in the valuation of some of the choosen factors according to the gender of the employees.We conclude by presenting the implications that these results have for business management, highlighting the applicability of the method to any organization by using ad hoc designs.Item type: Artículo , Access status: Abierto , Teaching experiences based on action research: a guide to publishing in scientific journals(Universitat Politècnica de València, 2021-06-02) Marin-Garcia, Juan A.; Alfalla-Luque, Rafaela; Departamento de Organización de Empresas; Escuela Técnica Superior de Ingeniería Industrial; Grupo de Investigación en Reingeniería, Organización, trabajo en Grupo y Logística Empresarial - ROGLE[EN] The aim of this paper is to justify action research as an adequate research model (sufficiently simple and efficient) to analyse and disseminate teaching innovation experiences in university contexts undertaken by lecturers-researchers whose main area of knowledge is business management or other social sciences where action research is a well-known methodology. We will justify that the teaching experiences of implementing good teaching/learning practices are perfectly suited to the characteristics of action research. A checklist of the research report content for publishing in scientific journals will be proposed. Consequently, the article will be useful to higher education academics and professionals.[Se proporciona una versión en castellano del artículo (ver sección antes de referencias).El objeto de este trabajo es justificar la investigation-action (AR, action research) como un modelo de investigation adecuado (suficientemente sencillo y eficiente) para analizar y difundir las experiences de innovation docente en contextos universitarios, llevadas a cabo por profesores-investigadores cuya área de conocimiento principal no son las Ciencias de la Education (en especial, cuya área de conocimiento sea la Organization de Empresas u otras ciencias sociales donde la investigation-action es una metodología suficientemente asentada y valorada académicamente). Se justifica que las experiences docentes de implantation de buenas prácticas de docencia/aprendizaje se ajustan perfectamente a las características de una investigation-action y se propondre una lista de comprobation del contenido del informe de investigation destinado a publicarse en revistas científicas, para que el artículo resultante sea útil a otros académicos y profesionales docentes de education superior.]Item type: Artículo , Access status: Abierto , Impact of Green Initiatives on the Financial Performance of Small and Medium Enterprises: The Case of Manufacturing Firm in Central Luzon(Universitat Politècnica de València, 2021-06-02) Alfaro, Mª Teresa B.; Diaz, Rowell Agliones[EN] This study was conducted to propose the Green Economic Development Plan for Manufacturing S.M.E.s based on financial performance and operations thru Green Initiatives. The descriptive survey method used to gather data to determine the green initiative's implementation of small and medium (S.M.E.s) manufacturing enterprises. Green initiatives use as a basis for crafting a green economic development plan. Document analysis was also employed to obtain data from any available printed materials and records provided by the respondents. Such methods of gathering information used to validate data gathered from local and foreign-related literature. The observation also employed to survey the assets owned and validate any green initiatives practiced, including their implementation. The study's findings show that among the green initiatives implemented by SMMEs, which resulted in the reduction of total costs and expenses, were the proper disposal and segregation of waste materials, water management by recycling wastewater and using water-efficient equipment, natural resources, and raw materials management. SMMEs should encourage active participation and support of suppliers and customers in achieving G.E.D.'s objectives by developing incentive schemes. Furthermore, SMMEs should continue to benchmark with G.E.D. Practitioners are operating locally and abroad to adopt best greening strategies and regularly network with concerned government agencies for continuous updating on G.E.D. Initiatives that may benefit the firm. Further research may be conducted on green initiatives implemented by small and medium enterprises in other industry sectors.Item type: Artículo , Access status: Abierto , Design and Development of a Genetic Algorithm Based on Fuzzy Inference Systems for Personnel Assignment Problem(Universitat Politècnica de València, 2021-06-02) Rabiei, Peyman; Arias-Aranda, Daniel; European Commission[EN] In today’s competitive markets, the role of human resources as a sustainable competitive advantage is undeniable. Reliable hiring decisions for personnel assignation contribute greatly to a firms’ success. The Personnel Assignment Problem (PAP) relies on assigning the right people to the right positions. The solution to the PAP provided in this paper includes the introducing and testing of an algorithm based on a combination of a Fuzzy Inference System (FIS) and a Genetic Algorithm (GA). The evaluation of candidates is based on subjective knowledge and is influenced by uncertainty. A FIS is applied to model experts’ qualitative knowledge and reasoning. Also, a GA is applied for assigning assessed candidates to job vacancies based on their competency and the significance of each position. The proposed algorithm is applied in an Iranian company in the chocolate industry. Thirty-five candidates were evaluated and assigned to three different positions. The results were assessed by ten staff managers and the algorithm results proved to be satisfactory in discovering desirable solutions. Also, two GA selection techniques (tournament selection and proportional roulette wheel selection) were used and compared. Results show that tournament selection has better performance than proportional roulette wheel selection.