Planejamento e controle de produção de uma pequena indústria de equipamentos para o setor leiteiro

Production planning and control is necessary for the company to achieve greater efficiency, minimize waste and product delays. Therefore, this study aimed to evaluate the production process of a small industry, having as its main object of study its planning and production control, so that the variables that interfere in its productive process and suggest improvements can be identified. Thus, we started with a bibliographical research, showing concepts and authors' views on Production Systems and Production Planning and Control (PCP). After observing the current situation of the productive process of the company studied, it was suggested the implementation of a PCP sector and a simplified guide to assist in the implementation. Keywords: Planning. Control. Production.O planejamento e controle da produção é necessário para que a empresa obtenha maior eficiência, minimize seus desperdícios e atrasos de entrega de produtos. Portanto, este estudo teve como objetivo avaliar o processo produtivo de uma pequena indústria, tendo como principal objeto de estudo o seu planejamento e controle de produção, de forma que se possam identificar as variáveis que interferem no seu processo produtivo e sugerir melhorias. Assim, partiu-se de uma pesquisa bibliográfica, mostrando conceitos e visão de autores sobre Sistemas de Produção e Planejamento e Controle de Produção (PCP). Após observada a atual situação do processo produtivo da empresa estudada, foi sugerida a implementação de um setor de PCP e elaborado um guia simplificado para auxiliar na implantação. Palavras-chave: Planejamento. Controle. Produção

Undershoot and order quantity probability distributions in periodic review, reorder point, order-up-to-level inventory systems with continuous demand

The undershoot of the reorder point in the periodic review, order-up-to-level (R, s, S) inventory system is known to follow a complex probability distribution which depends on the value of S-s (Δ) and the distribution of the demand during the review interval (R). We focus on the continuous demand case with full backlogging and variable lead-time. For this case, a generic formulation of the undershoot probability density function (p.d.f.) is developed. The order quantity probability distribution in (R, s, S) systems is the same as the undershoot probability distribution with a shift of Δ in the random variable. Therefore, the latter opens the possibility of calculating valuable managerial information such as the expected average order quantity, its standard deviation, and the probability that the order quantity is lower than or exceeds a predetermined value. Based on the proposed formulation, we derive an analytical expression of the undershoot p.d.f. (and hence the order quantity p.d.f.) for the case of gamma distributed demand, as well as a tractable approximation for the normal distributed demand. Both expressions are shown to be dependent upon two nondimensional parameters, Δ/μR and the coefficient of variation, with the mean demand during the review interval (μR) acting as a scale parameter. We thus define a nondimensional undershoot p.d.f. (NUPDF). The relevance of full nondimensionalization stems from the fact that gamma and normal NUPDF analyses can be scaled to any case of gamma and normal distributed demands. Although we focus on the inventory management viewpoint, the results for the gamma distributed case can be directly adapted for use in any renewal process.The authors would like to acknowledge the Spanish Agencia Estatal de Investigacion, for the support provided throughout the research project code RTI2018-094614-B-I00 (SMASHING) into the "Programa Estatal de I+D+i Orientada a los Retos de la Sociedad"