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Relevant bibliographies by topics / Inventory control - Forecasting - Statistical methods

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Academic literature on the topic 'Inventory control - Forecasting - Statistical methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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Journal articles on the topic "Inventory control - Forecasting - Statistical methods"

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Rehmani, Khurram, Afshan Naseem, Yasir Ahmad, Muhammad Zeeshan Mirza, and Tasweer Hussain Syed. "Development of a hybrid framework for inventory leanness in Technical Services Organizations." PLOS ONE 16, no. 2 (2021): e0247144. http://dx.doi.org/10.1371/journal.pone.0247144.

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Inherent uncertainties in demand and supply make it problematic for supply chains to accomplish optimum inventory replenishment, resulting in loss of sales or keeping excessive inventories. To cope with erratic demands, organizations have to maintain excessive inventory levels, sometimes taking up to one-third of an organization’s annual budget. The two most pressing concerns to handle in inventory management are: how much to order and when to order. Therefore, an organization ought to make the correct and timely decisions based on precise demand information to avoid excessive inventory accumu

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K.T., Vinod, S. Prabagaran, and O. A. Joseph. "Dynamic due date assignment method." Journal of Manufacturing Technology Management 30, no. 6 (2019): 987–1003. http://dx.doi.org/10.1108/jmtm-06-2017-0112.

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Purpose The purpose of this paper is to determine the interaction between dynamic due date assignment methods and scheduling decision rules in a typical dynamic job shop production system in which setup times are sequence dependent. Two due date assignment methods and six scheduling rules are considered for detailed investigation. The scheduling rules include two new rules which are modifications of the existing rules. The performance of the job shop system is evaluated using various measures related to flow time and tardiness. Design/methodology/approach A discrete-event simulation model is d

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3

David, Engmir, Irwan Budiman, and Jusra Tampubolon. "Decreasing Total Inventory Cost by Controlling Inventory in Motorcycle Dealer." Jurnal Sistem Teknik Industri 22, no. 2 (2020): 41–49. http://dx.doi.org/10.32734/jsti.v22i2.3930.

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This research was conducted at one of the motorcycle dealers in Indonesia. Besides selling motorcycles, this dealer also provides services to repair motorcycles and sells genuine motorcycle parts. Inventory management which the company carried out is still not good enough because there are still demand for spare parts from consumers that cannot be fulfilled by the company. The purpose of this study is to draw up a plan to control spare parts by paying attention to the spare parts that need to be considered, estimating the exact number of spare parts demand, knowing the smallest total inventory

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Sani, B., and B. G. Kingsman. "Selecting the Best Periodic Inventory Control and Demand Forecasting Methods for Low Demand Items." Journal of the Operational Research Society 48, no. 7 (1997): 700. http://dx.doi.org/10.2307/3010059.

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Sani, B., and B. G. Kingsman. "Selecting the best periodic inventory control and demand forecasting methods for low demand items." Journal of the Operational Research Society 48, no. 7 (1997): 700–713. http://dx.doi.org/10.1038/sj.jors.2600418.

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Sani, B., and B. G. Kingsman. "Selecting the best periodic inventory control and demand forecasting methods for low demand items." Journal of the Operational Research Society 48, no. 7 (1997): 700–713. http://dx.doi.org/10.1057/palgrave.jors.2600418.

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Cahyadewi, Desya Rachmasari, A. A. P. Agung Suryawan Wiranatha, and I. Ketut Satriawan. "Analisis Peramalan Permintaan dan Pengendalian Persediaan Bahan Baku Body Scrub Powder di CV. Denara Duta Mandiri." JURNAL REKAYASA DAN MANAJEMEN AGROINDUSTRI 8, no. 3 (2020): 360. http://dx.doi.org/10.24843/jrma.2020.v08.i03.p05.

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This study aims to analyze the demand forecasting of body scrub powder products in October 2019 and the level of raw material inventory body scrub powder optimal in order to minimize the total cost of inventory in CV. Denara Duta Mandiri. Forecasting analysis using time series model with 3 methods of Moving Averages with 2, 3 and 4 month time period, exponential smoothing method with ? = 0.1, ? = 0.5, ? = 0.9 and Trend Projection. To analyze the value of forecasting accuracy, the method used are Mean Absolute Deviation (MAD) and Mean Squared Error (MSE). The results show that the Trend Project

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Hajej, Zied, Aime C. Nyoungue, Aminu S. Abubakar, and Kammoun Mohamed Ali. "An Integrated Model of Production, Maintenance, and Quality Control with Statistical Process Control Chart of a Supply Chain." Applied Sciences 11, no. 9 (2021): 4192. http://dx.doi.org/10.3390/app11094192.

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This article investigates integrated maintenance, production, and product quality control policy for a supply chain consisting of a single machine producing only one type of product, a main storage warehouse, and multi-purchases warehouses. The variation of the production rate and its use over time impact the manufacturing system’s degradation degree. Hence, the machine is subject to a random failure that directly affects the quality of the products. The goal of this study is to establish an optimal production and delivery planning with inventory management considering the production, holding,

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Shilul Imarah, Thukas, and Roni Jaelani. "ABC ANALYSIS, FORECASTING AND ECONOMIC ORDER QUANTITY (EOQ) IMPLEMENTATION TO IMPROVE SMOOTH OPERATION PROCESS." Dinasti International Journal of Education Management And Social Science 1, no. 3 (2020): 319–25. http://dx.doi.org/10.31933/dijemss.v1i3.149.

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The study aims to test the effectiveness of the implementation of several inventory control methods to improve the smooth operation in a trading company of industrial equipements components that have difficulty in maintaining inventory data accuracy, inventory shortages and in other hand excess unrequired inventory. The research data used is taken from the ERP report data and manual reports created by the perpetrators of the operational activities of the Inventory Control for the period 2016 - 2018. The sampling method used is purposive sampling of the product sales data in years 2016 – 2018 a

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Duan, Wen Xi. "Farming Herdsman Fatstock Feeding Amount Forecasting and Control." Applied Mechanics and Materials 556-562 (May 2014): 3571–74. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3571.

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The profit of raising fatstock is subordinated to the random variables of the normal distribution. The average feeding profit is established by using the statistical methods. Moreover, the function between the feeding profit and raising amount is determined by adopting the method of linear regression. The function relationship among the purchase price, demand and production capacity of raising fatstock is gained by using the binary regression method. Therefore, the price of the meat livestock in the future will be forecast. However, the amount of raising fatstock can be controlled according to

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Dissertations / Theses on the topic "Inventory control - Forecasting - Statistical methods"

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何添賢 and Tim Yin Timothy Ho. "Forecasting with smoothing techniques for inventory control." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B42574286.

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Sani, Babangida. "Periodic inventory control systems and demand forecasting methods for low demand items." Thesis, Lancaster University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309040.

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Tai, Hoi-lun Allen, and 戴凱倫. "Stochastic models for inventory systems and networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37681758.

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Southworth, M. S. "An alternative approach to inventory control and forecasting methods in the public and private sectors." Thesis, Cranfield University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237724.

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Harrington, Robert P. "Forecasting corporate performance." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/54515.

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For the past twenty years, the usefulness of accounting information has been emphasized. In 1966 the American Accounting Association in its State of Basic Accounting Theory asserted that usefulness is the primary purpose of external financial reports. In 1978 the State of Financial Accounting Concepts, No. 1 affirmed the usefulness criterion. "Financial reporting should provide information that is useful to present and potential investors and creditors and other users..." Information is useful if it facilitates decision making. Moreover, all decisions are future-oriented; they are based on a

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Alm, Jonathan, and Kiöhling Marcus von. "Lagerstyrningsmetoders påverkan på totalkostnad : Möjliga ufall för lager med säsongsvarierad efterfrågan." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Logistik och verksamhetsledning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-45423.

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Purpose – To analyze the impact on total cost by inventory control methods under the influence of seasonal demand. The purpose will be answered with following research questions: What inventory control methods can be used when there is seasonal demand? What is the impact of inventory control methods on total cost under the influence of seasonal demand? Method – The study was conducted as a case study and the empirical data was collected through interviews and document study. Both of these contributed to the basis for the analysis and for the calculations in the test of the study. Literature

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Haddad, Khaled, University of Western Sydney, College of Health and Science, and School of Engineering. "Design flood estimation for ungauged catchments in Victoria : ordinary and generalised least squares methods compared." 2008. http://handle.uws.edu.au:8081/1959.7/30369.

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Design flood estimation in small to medium sized ungauged catchments is frequently required in hydrologic analysis and design and is of notable economic significance. For this task Australian Rainfall and Runoff (ARR) 1987, the National Guideline for Design Flow Estimation, recommends the Probabilistic Rational Method (PRM) for general use in South- East Australia. However, there have been recent developments that indicated significant potential to provide more meaningful and accurate design flood estimation in small to medium sized ungauged catchments. These include the L moments based index

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Peck, Lara. "Impacts of weather on aviation delays at O.R. Tambo International Airport, South Africa." Diss., 2015. http://hdl.handle.net/10500/22201.

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Weather-related delays in the aviation sector will always occur, however, through effective delay management and improved weather forecasting, the impact and duration of delays can be reduced. The research examined the type of weather that caused departure delays, due to adverse weather at the departure station, namely O. R. Tambo International Airport (ORTIA), over the period 2010 to 2013. It was found that the most significant weather that causes such delays are thunderstorms, followed by fog. Other noteworthy elements are rainfall, without the influence of other weather elements, and icing.

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Books on the topic "Inventory control - Forecasting - Statistical methods"

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Sihn, Wilfried. Ein Informationssystem für Instandhaltungsleitstellen. Springer, 1992.

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Lang, Michel. Estimation de la crue centennale pour les plans de prévention des risques d'inondations. Éditions Quæ, 2007.

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Jaech, John L. Training manual on statistical methods for nuclear material management. Division of Reactor Accident Analysis, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1988.

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4

Post, Claudia. Über die Anwendbarkeit geostatischer Verfahren und Optimierung von Daten zur Bewertung der hydraulischen und geologischen Gegebenheiten als Grundlage für Sanierungsmassnahmen am Beispiel des Ronneburger Erzreviers. Lehrstuhl für Ingenieurgeologie und Hydrogeologie der RWTH, 2001.

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United States. Office of National Drug Control Policy. Drug Control Research, Data, and Evaluation Committee. Federal drug-related data systems inventory: Report of the Drug Control Research, Data, and Evaluation Committee. 2nd ed. Executive Office of the President, Office of National Drug Control Policy, 2003.

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United States. Office of National Drug Control Policy. Drug Control Research, Data, and Evaluation Committee. Federal drug-related data systems inventory: Report of the Drug Control Research, Data, and Evaluation Committee. 2nd ed. Executive Office of the President, Office of National Drug Control Policy, 2003.

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United States. Office of National Drug Control Policy. Drug Control Research, Data, and Evaluation Committee. Federal drug-related data systems inventory: Report of the Drug Control Research, Data, and Evaluation Committee. 2nd ed. Executive Office of the President, Office of National Drug Control Policy, 2003.

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United States. Office of National Drug Control Policy. Drug Control Research, Data, and Evaluation Committee. Federal drug-related data systems inventory: Report of the Drug Control Research, Data, and Evaluation Committee. 2nd ed. Executive Office of the President, Office of National Drug Control Policy, 2003.

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United States. Office of National Drug Control Policy. Drug Control Research, Data, and Evaluation Committee. Federal drug-related data systems inventory: Report of the Drug Control Research, Data, and Evaluation Committee. 2nd ed. Executive Office of the President, Office of National Drug Control Policy, 2003.

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United States. Office of National Drug Control Policy. Drug Control Research, Data, and Evaluation Committee. Federal drug-related data systems inventory: Report of the Drug Control Research, Data, and Evaluation Committee. 2nd ed. Executive Office of the President, Office of National Drug Control Policy, 2003.

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Book chapters on the topic "Inventory control - Forecasting - Statistical methods"

1

Solis, Adriano O. "Forecasting Lumpy Demand: Statistical Accuracy and Inventory Control Performance." In Supply Management Research. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08809-5_4.

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de Oliveira, Alexandre Crepory Abbott, Jéssica Mendes Jorge, Andrea Cristina dos Santos, and Geraldo Pereira Rocha Filho. "Neural Network with Specialized Knowledge for Forecasting Intermittent Demand." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200113.

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Demand forecasting is an essential part of an efficient inventory control system. However, when the demand has an intermittent or lumpy behavior, forecasting it becomes a challenging task. Several methods have been developed to solve this issue, but nonetheless, they only consider the information about the occurrence of demand, failing to assess the drivers of the data behavior. With the current digitalization of the industry, more data is available and, therefore, the chances of finding a causal relationship between the available data and the demand increases. Considering that, this paper proposes a single-hidden layer neural network for forecasting irregularly spaced time series with attributes conveying information about the past demand, seasonality of the data and specialized knowledge about the process. The neural network proposed is compared with benchmark neural networks and traditional forecasting methods for intermittent demand using three different performance measures on actual demand data from an industry operating in the aircraft maintenance sector. Statistical analysis is conducted on comparison results to identify significant differences in the forecasting methods according to each performance measure.

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Strike, P. W. "Forecasting and control." In Statistical Methods in Laboratory Medicine. Elsevier, 1991. http://dx.doi.org/10.1016/b978-0-7506-1345-3.50016-9.

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Saha, Esha, and Pradip Kumar Ray. "Statistical Analysis of Medical Data for Inventory Management in a Healthcare System." In Analytics, Operations, and Strategic Decision Making in the Public Sector. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7591-7.ch008.

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Statistical analysis is a powerful technique in the field of healthcare that enables drawing meaningful insights from a study in which medical data are collected through real-time observations, survey, and from medical records. In the field of healthcare, there are several research problems ranging from clinical to operational, such as decisions on organ transplant, operating room planning, appointment scheduling, resource allocation, layout design, demand forecasting, and many more. One such operational problem dealt with in this chapter is the inventory management in healthcare systems. Inventory management in healthcare is an upcoming area of research as efficiently managing inventory acts as a prerequisite for planning and decision making in a healthcare system. This requires statistical analysis of the medical data. The medical data is segmented and summarized using numerical and graphical descriptive statistical methods to draw conclusions in order to significantly help the healthcare personnel in managing the healthcare systems.

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Aman, Zineb, Latifa Ezzine, Yassine Erraoui, Younes Fakhradine El Bahi, and Haj El Moussami. "Seeking Accuracy in Forecasting Demand and Selling Prices: Comparison of Various Methods." In Forecasting in Mathematics - Recent Advances, New Perspectives and Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.93171.

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The need for a good forecast estimate is imperative for managing flows in a supply chain. For this, it is necessary to make forecasts and integrate them into the flow control models, in particular in contexts where demand is very variable. However, forecasts are never reliable, hence the need to give a measure of the quality of these forecasts, by giving a measure of the forecast uncertainty linked to the estimate made. Different forecasting models have been developed in the past, particularly in the statistical area. Before going to our application on real industrial cases which highlights a prospective study of demand forecasting and a comparative study of sales price forecasts, we begin, in the first section of this chapter, by presenting the forecasting models, as well as their validation and monitoring.

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Conference papers on the topic "Inventory control - Forecasting - Statistical methods"

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Lei, Ming, Zihan Yin, Shalang Li, and Qian Tan. "Intermittent demand forecasting and inventory control with multiple temporal and cross-sectional aggregation and disaggregation methods." In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2017. http://dx.doi.org/10.1109/fskd.2017.8393070.

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Zhang, Liang, Jin Wen, and Yimin Chen. "Systematic Feature Selection Process Applied in Short-Term Data-Driven Building Energy Forecasting Models: A Case Study of a Campus Building." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5073.

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An accurate building energy forecasting model is a key component for real-time and advanced control of building energy system and building-to-grid integration. With the fast deployment and advancement of building automation systems, data are collected by hundreds and sometimes thousands of sensors every few minutes in buildings, which provide great potential for data-driven building energy forecasting. To develop building energy forecasting models from a large number of potential inputs, feature selection is a critical procedure to ensure model accuracy and computation efficiency. Though the t

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Li, Gong, Jing Shi, and Junyi Zhou. "Short Term Wind Speed Forecasting Based on Bayesian Model Averaging Method." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-13055.

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Wind energy has been the world’s fastest growing source of clean and renewable energy in the past decade. One of the fundamental difficulties faced by power system operators, however, is the unpredictability and variability of wind power generation, which is closely connected with the continuous fluctuations of the wind resource. Good short-term wind speed forecasting methods and techniques are urgently needed since it is important for wind energy conversion systems in terms of the relevant issues associated with the dynamic control of the wind turbine and the integration of wind energy into t

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Răducu, Camelia Mădălina. "LEARNING STRATEGIES AND SCHOOL MOTIVATION IN EXPERIENTIAL LEARNING VS. TRADITIONAL LEARNING." In International Psychological Applications Conference and Trends. inScience Press, 2021. http://dx.doi.org/10.36315/2021inpact032.

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"Introduction: In recent years, European innovation policies in education have focused on preventing early school leaving and functional illiteracy. In this context of innovation in education, experiential learning has proven to have unique qualities for both teachers and students. Thus, the main motivation of this paper was to show that experiential teaching methods and techniques in primary education are able to produce significant improvements in learning strategies and school motivation in young students. Objectives: The aim of this this study was to explore the differences in learning str

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