Relevant bibliographies by topics / Economic Order Quantity

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Economic Order Quantity'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Economic Order Quantity"

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Yu, Gang. "Robust economic order quantity models." European Journal of Operational Research 100, no. 3 (August 1997): 482–93. http://dx.doi.org/10.1016/s0377-2217(95)00328-2.

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Huang, Qing, and Peng Wu. "A New Economic Order Quantity Model." Journal of Physics: Conference Series 1670 (November 2020): 012047. http://dx.doi.org/10.1088/1742-6596/1670/1/012047.

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Jeang, Angus. "Economic production order quantity and quality." International Journal of Production Research 49, no. 6 (March 15, 2011): 1753–83. http://dx.doi.org/10.1080/00207540903555528.

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Tan, Bertram, Ping Jung Hsieh, and Chinho Lin. "Marketing policies on economic order quantity." Journal of Information and Optimization Sciences 24, no. 1 (January 2003): 197–210. http://dx.doi.org/10.1080/02522667.2003.10699562.

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Rezaei, Jafar. "Economic order quantity for growing items." International Journal of Production Economics 155 (September 2014): 109–13. http://dx.doi.org/10.1016/j.ijpe.2013.11.026.

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Zhang, Qinhong, Yu-Chung Tsao, and Tsung-Hui Chen. "Economic order quantity under advance payment." Applied Mathematical Modelling 38, no. 24 (December 2014): 5910–21. http://dx.doi.org/10.1016/j.apm.2014.04.040.

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Lin, Tien-Yu. "An economic order quantity with imperfect quality and quantity discounts." Applied Mathematical Modelling 34, no. 10 (October 2010): 3158–65. http://dx.doi.org/10.1016/j.apm.2010.02.004.

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S., RAJESWARIA. "Fuzzy Economic Order Quantity Model with Imperfect Quality Items under Repair Option." Journal of Research on the Lepidoptera 51, no. 1 (February 28, 2020): 627–43. http://dx.doi.org/10.36872/lepi/v51i1/301058.

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Tungalag, N., M. Erdenebat, and R. Enkhbat. "A Note on Economic Order Quantity Model." iBusiness 09, no. 04 (2017): 74–79. http://dx.doi.org/10.4236/ib.2017.94006.

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Godichaud, Matthieu, and Lionel Amodeo. "Economic order quantity for multistage disassembly systems." International Journal of Production Economics 199 (May 2018): 16–25. http://dx.doi.org/10.1016/j.ijpe.2018.02.008.

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Dissertations / Theses on the topic "Economic Order Quantity"

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Parthasarathy, Meghana. "Analyzing Warehouse-Retailer Interaction using a Modified Economic Order Quantity (EOQ) Model." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1103228627.

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Jung, Hoon. "Optimal inventory policies for an economic order quantity models under various cost functions /." free to MU campus, to others for purchase, 2001. http://wwwlib.umi.com/cr/mo/fullcit?p3012983.

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Nederman, Christer, and Oscar Slogén. "A critical assessment of inventory management principles and purchasing routines : Managing packaging material in a process industry." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-36653.

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Inventory management is today seen as more competitive oriented, process oriented and better integrated into the companies than before. But still do several companies run their inventories according a traditional approach. There is therefore a need for some companies to evaluate their inventory management and adapt the new view. There is also a need to adjust for increased focus on sustainability, previous research calls for strategies and tools that include sustainable parameters without lowering the profitability. The purpose with this study is to assess inventory management principles and purchasing routines related to the acquisition of packaging material in a process industry. The study aims to develop a framework for decision makers in inventory management. This framework will be the basis for a support tool incorporating a relatively simple and easy-to-use user interface. This master thesis is performed as a case study research and uses several data collection methods, such as a literature review, observations, and interviews. The findings from the data collection is used to evaluate which impact inventory management has on a company’s profitability, and which basic parameters that could be included in the support tool. The empirical findings show that Barilla Sweden’s current inventory management match the traditional approach, but also that they strive to become more competitive and process oriented in their management of inventories. There is however some constraints in their working strategy that prevents them from taking the next step. Comparison between Barilla Sweden’s current order size and an economical order quantity (EOQ) and just-in-time (JIT) approach is made. The comparison shows that Barilla Sweden has money to save and warehouse space to release with changed order quantities. Adapting a new inventory management approach require review of uncertainties, such as delivery accuracy and forecast changes. It is also necessary to evaluate supplier relations and internal working strategies. The effect of these parameters on inventory management can be noticed in the support tool. The tool compares total costs, average stock, tied capital, and environmental and social consequences between the EOQ model and JIT. The support tool visualizes drawbacks and benefits with different order sizes and has an easy-to-use interface.
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Andersson, André, and Erik Molin. "Procurement Policy : A Conceptual Design to Optimize Purchasing Policy and Safety Stocks." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-36045.

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Study question: How can the process for article classification and procurement be improved in a new implementable inventory policy with the objective to reduce inventory costs. Purpose: The purpose of this degree project is to design a procurement policy which helps to minimize the annual capital tied up in inventory. Method: The procurement policy is created by a mixed method with a focus on the quantity inputs of secondary data and minor involvements of qualitative from primary data. Inventory management formulas from the theoretical framework constitute the conducted model. With the ground work from theory and inputs from interviews, the research approach has been deductive and followed the guidelines of Ali and Birley (1999). ABB Capacitors is the case study of this degree project which the model has been tested and verified upon. Conclusion: The degree project resulted in procurement policy which includes a calculation model and inventory analysis which has shown success from the theoretical comparisons, and it indicates that the procurement policy is functioning as intended. Mathematical formulas are mere tools in a procurement policy, experience and know-how are two pieces which importance should not be neglected.Weaknesses of this policy concern inventory capacity because the calculations’ purpose is to minimize inventory cost by procuring to an economic optimum. There is a chance that physical structure allows fewer quantities than what is financially best. The policy is recommended for manufacturing industries.
Frågeställning: Hur ska artiklar till lagret köpas in och klassificeras i en ny inköpsstrategi med målet att minska lagerkostnaderna och minimera lagernivåerna till givna förutsättningar. Syfte: Syftet är att ta fram en inköpspolicy som ska minimera årliga kapitalbindningen i lagret. Metod: Inköpspolicyn är utvecklad med hjälp av en blandad metod med fokus på den kvantitativa sekundärdatan med små delar av den kvalitativa primärdatan. Beräkningsmodellen består av de lagerstyrningsformler som presenteras i teorin. Med grunden från teorin och inläggen från intervjuer har forskningsmetoden varit deduktiv och följt riktlinjerna från Ali och Birley (1999). ABB Capacitors är fallstudien för detta examensarbete som modellen har blivit testat och verifierad hos. Slutsats: Examensarbetet resulterade i inköpspolicy som består av en beräkningsmodell och en artikelanalys som har visat sig framgångsrik från de teoretiska jämförelserna och det visar på att inköpsstrategin fungerar som tänkt. Matematiska modeller är bara verktyg i en inköpsstrategi, erfarenhet och kunnande är två komponenter vars betydelse inte ska förminskas. Svagheter i modellen rör kapaciteten i lagret eftersom modellens syfte är att minimera årliga lagerkostnaden genom att köpa in ur en ekonomisk synvinkel. Det finns en risk att den fysiska lagerytan tillåter mindre kvantiteter än vad som är optimalt. Modellen rekommenderas för tillverkande industrier.
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Němečková, Martina. "Návrh na zlepšení systému řízení zásob." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-234787.

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The subject of this thesis is to propose a new inventory management system, that was found in particular company as one of the biggest shortages, which the company currently faces. The first part of thesis contains theoretical background focused on inventory management, expecially on function and types of supplies, ordering systems of supplies and on methods of their inventory. The second part focuses on the analysis of the current state in company processes. Following the theoretical part, there were suggested appropriate inventory management systems to simplify the work in warehousing and logistic, but also to bring economic benefits to the whole company. In addition to these proposals were included also possible solutions of less problematic processes.
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Carvalho, Gonçalo dos Santos. "Estudo comparativo de gestão de stocks numa PME da indústria do calçado." Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/17265.

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Mestrado em Gestão e Estratégia Industrial
A indústria do calçado em Portugal tem contribuído de forma substantiva para o desenvolvimento produtivo nacional, apostando na qualidade e numa efetiva gestão. Face às mudanças que esta indústria determina, designadamente pelas exigências sazonais da moda, gerir stocks, e em particular restos de coleções, é determinante para a redução de custos. A gestão de stocks calcula a quantidade ótima para qual as encomendas devem ser feitas minimizando os custos de efetivação de encomenda e custos posse de stock. Nesse estudo foram aplicados teorias e modelos de gestão de stocks numa empresa da indústria do calçado (3 sapatarias), designadamente baseados na previsão da procura, na quantidade económica de encomenda e na classificação ABC, com o objetivo de analisar a atual gestão de stocks e avaliar possíveis alterações que permitam a redução de custos. Foram recolhidos os dados referentes às vendas de 2017 e analisados cerca de 350 produtos. A aplicação do método da QEE aos artigos da Classe A permite verificar que o número de encomendas se reduz em quase todos os artigos. Assim, como conclusão destaca-se que a correta gestão de stocks poderia ter permitido uma poupança de 26,50% no custo total anual de stocks no ano de 2017.
The shoe industry in Portugal has contributed substantially to productive national development, betting on quality and efetive management. Due to the industry changes, specifically seasonal fashion demands, managing stocks and managing collections leftovers is decisive to reducing costs. Stock management calculates the optimal amount that orders should be done minimizing dispatch costs and shipping costs. In this study there have been applied theories and academic management models in a shoe industry company (3 shoe stores), specifically based on predicting demands, economic order quantity and ABC classification, with the purpose of analyze the actual stock management and evaluate possible modifications that allow costs reduction. There were compiled sales data of 2017 and analyzed approximately 350 produts. The application of EOR in class A allows to verify that the number of orders is reduced in almost every product. Thus, in conclusion we can note that the correct stock management costs could allow savings of 26,50% in 2017 stock management.
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Karlsson, Madelene, and Sandra Hagevall. "Effektiviserad lagerhantering av reservdelar för minskad kapitalbindning." Thesis, Högskolan i Gävle, Industriell ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-30295.

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Spare parts are, for many companies, a complex product to logistically handle. This is in part due to the varying characteristics and sporadic demand patterns of spare parts. Obstacles can often arise when companies utilize the same approach to their spare parts stock as they do with their general warehouse manufacturing inventory. By using the same approach, companies risk neglecting the widespread variation of the spare parts. With the help of established routines, a clear set of guidelines and factors, the chances of a successful handling of spare parts inventory is increased. The study is a qualitative case study with the purpose of identifying specific factors and to make recommendations of models for companies to take into account when evaluating and storing spare parts. Through unstructured/semi-structured interviews conducted with four case company employees, information was gathered which was used to assist in identifying these specific factors and models for companies. A theoretical frame of reference was produced through analyzing research articles and was compared to the compiled empirical data in an analysis. The departments within the case study based their work on single factor which were considered important for each specific department, without inter-departmental communication. The factors that were identified in the study include service, competitive advantage, tied up capital, size capacity, complexity, sales frequency and material. Four of these were considered to be a priority for the case company. The study showed that different models for spare parts management and outsourcing could be implemented in the case company. By integrating the different models for spare parts management and outsourcing, combined with communication, a new model has been proposed for handling the spare parts storage.
Reservdelar är för många företag en komplex produkt att hantera utifrån dess varierande egenskaper och sporadiska efterfrågemönster. Problematiken härstammar ofta från att många företag hanterar reservdelslager utifrån samma förutsättningar som dess allmänna lagerhantering, därigenom försummas reservdelarnas olika egenskaper. Förutbestämda riktlinjer och faktorer krävs vid hantering av reservdelar och en viktig komponent för att lyckas med detta är kommunikation. Arbetet är en kvalitativ fallstudie med syftet att ta fram faktorer och rekommendationer av modeller att ta hänsyn till vid värdering och lagerhantering av reservdelar. För att besvara syftet och frågeställningarna utfördes ostrukturerade/semistrukturerade intervjuer med fyra medarbetare på fallföretaget. En teoretisk referensram togs fram genom litteratursökningar som sedan ställdes i en jämförelse mot den sammanställda empirin i en analys. Studien visade att de olika avdelningarna på fallföretaget främst utgått från en enda faktor som ansetts vara viktig för den specifika avdelningen. Utifrån de framtagna faktorerna i studien; service, konkurrensfördel, kapitalbindning, fyllnadsgrad, komplexitet, försäljningsfrekvens och material, ansågs fyra av dessa vara av prioritet för fallföretaget. Studien visade att olika modeller för reservdelshantering och outsourcing skulle kunna implementeras på fallföretaget. Genom att integrera de olika modellerna för reservdelshantering och outsourcing, kombinerat med kommunikation, har en ny modell föreslagits för hantering av reservdelslager.
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Isolan, Ilaria. "Environmental economics models for efficient and sustainable logistics systems." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3427294.

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The Intergovernmental Panel on Climate Change (IPCC) reports that global warming poses a grave threat to the world’s ecological system and the human race. This phenomenon is very likely caused by increasing concentrations of carbon emissions, which mainly results from such human activities as fossil fuel burning and deforestation (IPCC, 2007). A powerful action is required to stabilize the rising temperatures, involving many countries with a common objective. As asserted by Stavins (2008), without an effective global climate agreement no result will be accomplished. In order to mitigate global warming, the United Nations (UN), the European Union (EU), and many countries have introduced some policies and mechanisms to contain the total amount of greenhouse gas emissions. Among these, one of the primary legislations is the European Union Emission Trading System (EU-ETS). On the contrary, other nations still consider the efforts to mitigate global warming as obstacles to striving for economic growth. Therefore, without a comprehensive engagement, some actors are advantaged and more competitive in the global economy. Some others, involved in emission saving policies, have to face stronger investments and restrictions, with the risk of suffering economic disadvantages. Since the emissions released by companies’ operational activities into the air are one of the main causes of global climate change (He et al. 2015), businesses are becoming increasingly conscious of their carbon footprint and have begun to incorporate environmental thinking into their business strategy and supply chain management. In order to help managers driving companies towards sustainable and efficient purchasing decisions, in this research work the Sustainable Economic Order Quantity (S-EOQ) Model introduced by Battini et al. (2014) is improved by developing a bi-objective lot-sizing model with two different objective functions to minimize (costs and emissions) and integrating the Cap and Trade regulatory policy (characteristic of the EU-ETS). This S-EOQ model is useful in practice to support managers in understanding the Pareto frontier shape linked to a specific purchasing problem, defining the cost-optimal and emission-optimal solutions and identifying a sustainable quantity to purchase when a Cap and Trade mitigation policy is present. The model behavior is analyzed according to variation in the market carbon price and it is analytically demonstrated that today carbon prices are still far too low to motivate managers towards sustainable purchasing choices. Moreover, two innovative bi-objective Sustainable Joint Economic Lot Size (S-JELS) Models under a Cap and Trade policy are introduced (applying the Cap and Trade regulation only to the buyer or to both buyer and supplier), in order to consider costs and emissions related to a two-echelon supply chain, not only to the buyer. By considering two different objective functions to minimize (costs and emissions), both economic and sustainable issues are equally considered and integrated in the contest of a supply chain. In this way, the models lead the Decision Makers to more sustainable and efficient logistic and purchasing solutions, considering a supply chain point of view. With the purpose of helping companies analyzing the trade-offs among different supplies, the S-JELS models can be run iteratively for many sourcing options, in order to build the Pareto frontiers for each supplier and compare then the frontier shapes, the cost-optimal solutions and the emission-optimal ones. One of the two S-JELS models presented (the one with Cap and Trade regulation applied only to the buyer) is then integrated into a procedure for assessing a Sustainable Supplier Selection. The objective is to provide the managers with numerical KPI and user-friendly graphs, in order to help them on analysing the trade-offs among different supplies and on evaluating the selection criteria for each potential supplier in an easier, faster, analytical and correct way. In the end, it is presented a case study from the manufacturing industry. The objective is to help managers on carrying out a Sustainable Supplier Selection between a Domestic and a Far East sourcing, by applying the S-JELS model integrated in an AHP supplier selection procedure. The model is exploited in order to provide the Decision Makers (DMs) with the tools for selecting the best sourcing option for their company. The DMs by iterating the solution process can obtain and compare different Pareto frontiers, being able to consider trade-offs before taking a purchasing strategy decision.
Secondo l’Intergovernmental Panel on Climate Change (IPCC), il riscaldamento globale rappresenta una grave minaccia per il sistema ecologico mondiale e quindi anche per l’umanità. Questo fenomeno è causato in gran parte dall'aumento di emissioni di CO2, derivanti principalmente da attività umane come la combustione fossile e la deforestazione (IPCC, 2007). Risulta quindi necessaria una decisa azione per stabilizzare le temperature in aumento, tale da coinvolgere molti Paesi per il raggiungimento di un obiettivo comune; come sostenuto da Stavins (2008), senza un efficace accordo globale non sarà possibile raggiungere alcun risultato. Al fine di mitigare il riscaldamento globale, le Nazioni Unite (ONU), l'Unione Europea (UE) e molti altri Paesi hanno introdotto politiche e meccanismi per contenere la quantità totale di emissioni di gas serra. Tra questi, una delle normative più rilevanti è l’European Union Emission Trading System (EU-ETS). Altre Nazioni, al contrario, considerano gli sforzi per mitigare il global warming un ostacolo alla loro crescita economica e risultano quindi avvantaggiate e più competitive rispetto a quei Paesi coinvolti in politiche per la riduzione delle emissioni. Dato che le emissioni rilasciate nell’aria dalle attività operative delle imprese sono una delle principali cause del cambiamento climatico globale (He et al., 2015), le aziende stanno prendendo consapevolezza del loro impatto ambientale e iniziano a seguire una filosofia più sostenibile sia a livello di strategia aziendale, che di gestione della supply chain. In questo lavoro di ricerca, il Sustainable Economic Order Quantity (S-EOQ) Model introdotto da Battini et al. (2014) viene perfezionato, al fine di aiutare i manager a guidare le aziende verso decisioni di acquisto sostenibili ed efficienti. Si sviluppa un modello di dimensionamento del lotto con due diverse funzioni obiettivo da minimizzare (costi ed emissioni), inoltre viene integrata la politica di regolamentazione Cap and Trade, caratteristica dell’EU-ETS. Questo modello S-EOQ risulta utile per varie ragioni: comprendere la forma della di frontiera di Pareto associata ad uno specifico problema di acquisto; definire le soluzioni ottimali in termini di costi e di emissioni; identificare una quantità sostenibile di acquisto quando è presente una politica di Cap and Trade delle emissioni. Il comportamento del modello viene analizzato in relazione alla variazione del prezzo delle emissioni di carbonio, dimostrando analiticamente che i prezzi attuali sono ancora troppo bassi per motivare i manager verso scelte di acquisto sostenibili. Inoltre, vengono introdotti due Sustainable Joint Economic Lot Size (S-JELS) Models nell'ambito di una politica di Cap and Trade (applicando la regolamentazione solo al buyer o sia al buyer che al supplier), in modo da considerare i costi e le emissioni relativi ad una catena di fornitura, non solo al buyer. Considerando due differenti funzioni obiettivo da minimizzare (i costi e le emissioni), le problematiche economiche e sostenibili sono ugualmente tenute in considerazione e integrate nel contesto di una supply chain. In questo modo, i modelli supportano i manager nel prendere decisioni logistiche e di acquisto più sostenibili ed efficienti, considerando il punto di vista della supply chain. Con lo scopo di aiutare le aziende ad analizzare i trade-off tra diverse forniture, i modelli S-JELS possono essere eseguiti iterativamente per varie opzioni di sourcing, al fine di costruire le frontiere di Pareto per ciascun fornitore e confrontare quindi le forme della frontiera, le soluzioni ottimali in termini di costi e in termini di emissioni. Uno dei due modelli S-JELS presentati (quello in cui la politica di Cap and Trade è applicata solo al buyer) viene inoltre integrato in una procedura per effettuare una Sustainable Supplier Selection. L'obiettivo è fornire ai decisori KPI numerici e grafici user-friendly, al fine di aiutarli ad analizzare i trade-off tra le diverse opzioni di fornitura e valutare quindi i criteri di selezione per ogni potenziale fornitore in modo più semplice, rapido, analitico e corretto. Infine, viene presentato un caso studio del settore manifatturiero. L'obiettivo è quello di aiutare i manager a condurre una Sustainable Supplier Selection tra un fornitore Nazionale ed uno collocato nel Far East, applicando il modello S-JELS, integrato in una procedura AHP per la selezione dei fornitori. Tale modello viene dunque impiegato per fornire ai Decision Makers (DMs) gli strumenti per selezionare la migliore opzione di approvvigionamento aziendale. I DMs, iterando il modello, possono ottenere e confrontare diverse frontiere di Pareto, valutando così i trade-off prima di prendere una decisione in merito alla strategia di acquisto.
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Morais, Afonso Miguéis de. "Análise e otimização da gestão de stocks numa empresa de vending machines do sector alimentar." Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/16926.

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Mestrado em Gestão e Estratégia Industrial
Num mundo cada vez mais competitivo e global, onde a otimização dos recursos e serviços tem um impacto bastante significativo na performance das empresas, este trabalho final de mestrado tem como objectivo analisar uma empresa do sector alimentar especializada em Vending Machines medindo a sua competitividade e performance através da gestão de Stocks que prioriza e reduz todos os custos operacionais. Para esse efeito, foram recolhidos dados da empresa (cujo nome nunca será referido, por motivos de confidencialidade) exclusivamente inserida no sector alimentar. Neste presente estudo, é primeiramente definido o conceito de procura e a sua respectiva relevância para uma correcta utilização de modelos de gestão de Stocks inseridos na gestão da cadeia de Abastecimento, e o impacto desta, na sustentabilidade e eficiência operacional e financeira das empresas
In a world, which is more and more competitive and global, where the optimization of resources and services has a significant impact on the performance of companies, this end of master ́s project has the objective to analyse a company in the food sector specialised in Vending Machines measuring its competiveness and performance through stock management that prioritizes and reduces all operational costs. For this effect, company data was collected (due to confidentiality the company ́s name will never be disclosed) exclusively inserted in the food sector. In this current study, it is primarily defined the concept of demand and its respective relevance for a correct use of stock management inserted in supply chain management, and its impact, on operational and financial sustainability and efficiency of companies.
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Junior, José Augusto Morais de Andrade. "Gestão logística integrada à gestão de capital de giro de uma cadeia de suprimentos: um estudo de simulações estocásticas da demanda sobre um modelo dinâmico integrado logístico e financeiro." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/96/96132/tde-01072013-111807/.

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Este é um trabalho teórico-empírico que visa principalmente verificar o estado da literatura científica no que diz respeito à consideração dos custos de financiamento da necessidade de capital de giro (NCG) aplicado em mercadorias (NCGp), especialmente em relação aos aprimoramentos do modelo do lote econômico de compras/produção (LEC/LEP). A revisão de literatura mostra diversos modelos aprimorados do LEC/LEP que usam as técnicas de valor presente líquido e fluxos de caixa descontados para considerar o custo do capital no tempo, mas, segundo diversos autores, a diferença entre o LEC original e o uso de tais técnicas é desprezível. Além do mais, o uso destas técnicas não significa que tais modelos tenham incorporado o custo do financiamento da NCGp. Alguns trabalhos, mais recentes, já trazem simulações que levam em consideração o NCGp, outros até já exibem a fórmula NCGp = Estoquesp+Clientesp+Fornecedoresp. Neste trabalho foram feitas 128.000 simulações estocásticas de um modelo dinâmico, de onde se extraíram as variáveis da DRE de cada membro de uma cadeia de suprimentos (CS) hipotética. Foi testada a hipótese de ser este modelo aprimorado, porque incorpora o custo do capital de giro empregado nas mercadorias, mais correto que o modelo que não o incorpora. Para fazer este teste, foi feita uma modelagem (em Excel R) de uma CS contendo dois fornecedores industriais, uma fábrica, um atacadista e um varejista. O modelo recebe como inputs as demandas agregadas do varejista nos dias de cada simulação, que são 360 dias. Os dados foram importados no software estatístico R e as variáveis de saída foram então analisadas nos diversos cenários, regimes e tipos de demanda. Os resultados da análise dos diferentes cenários mostram que é importante considerar os custos financeiros da NCGp.
This is a theoretical and empirical work that primarily aims to check the status of scientific literature with regard to the consideration of the costs of financing the working capital needs (WCN ) applied to goods (WCNp), especially in relation to improvements of economic order/- production quantity (EOQ/EPQ) models. The literature review shows several EOQ/EPQ enhanced models that use net present value and discounted cash flows techniques to consider the cost of capital over time; but according to several authors, the difference between the original EOQ model and with the use of such techniques is negligible. Moreover, the use of these techniques does not mean that such models have incorporated the cost of financing the WCNp. Some latest papers make simulations that consider the WCNp, others have even used the formula WCNp = Inventoriesp +Receivablesp +Payablesp. In this study we made 128,000 stochastic simulations of a dynamic model, from where the were obtained the result\'s variables for each member of a hypothetical supply chain(SC).We tested the hypothesis that this enhanced model, because it incorporates the cost of working capital employed in goods, is more correct than the model that does not. For this test, we made a model (in Excel R) of a CS containing two industrial suppliers, a factory, a wholesaler and a retailer. The model takes as inputs the aggregated demands of the retailer in the days of each simulation, which is 360 days. Data were imported into R statistical software and the output variables were then analyzed in different scenarios, regimes and types of demand. The results of the analysis of different scenarios showed that it is important to consider the financial costs of WCNp, maybe incorporating them into an enhanced EOQ/EPQ model.
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Books on the topic "Economic Order Quantity"

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Office, General Accounting. Navy supply: Economic order quantity and item essentiality need more consideration : report to the Secretary of the Navy. Washington, D.C: The Office, 1987.

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Morosanu, Gabriela Adina. La dynamique hydro-sédimentaire du bassin de la rivière Jiu : approche systémique et multi-échelle. Editura Universitara, 2021. http://dx.doi.org/10.5682/9786062812034.

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The present book, titled “The Hydro-sedimentary dynamics of the Jiu River Watershed. A systemic and multi-scale approach” sets about to investigate the dynamics of liquid and solid flows in a challenging watershed represented by the Jiu River Basin. The Jiu River (with a length of 339 km) is one of the main tributaries of the Danube in its Romanian sector, and its watershed stretches over an area of 10,080 km2, in SW Romania. Jiu River Basin is defined by complex geographical features, determined by a variety of natural and socio-economic factors. From an economic standpoint, the element that makes Jiu’s watershed stand out among other comparable rivers is the presence and exploitation of coal in its upper sector (bituminous coal) and middle sector (lignite), as these activities have left their mark on the quality of the water and the quantity and origins of fine sediments. In this study, we relied upon the existence of coal resources in order to investigate the hydro-sedimentary dynamics in the Jiu River Basin and identify the fine sediment sources, by performing an analysis of coal particles found in the fine sediments, which was carried out through different laboratory methods.
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Book chapters on the topic "Economic Order Quantity"

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Lev, Benjamin. "Economic Order Quantity Model Extensions." In Encyclopedia of Operations Research and Management Science, 464–66. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_269.

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Schwarz, Leroy B. "The Economic Order-Quantity (EOQ) Model." In Building Intuition, 135–54. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-73699-0_8.

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Dickersbach, Jörg Thomas, and Michael F. Passon. "Economic Order Quantity and Safety Stock." In Management for Professionals, 139–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45433-6_6.

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Rajendran, P., and P. Pandian. "Economic Order Quantity for Fuzzy Inventory Model without or with Shortage." In Mathematical Modelling and Scientific Computation, 136–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28926-2_15.

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Yang, Yulin, and Yuhong Sheng. "Uncertain Economic Order Quantity Model for Perishable Items with Shelf Life." In Communications in Computer and Information Science, 392–402. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8915-5_34.

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De, P. K., A. C. Paul, and Mitali Debnath. "Mathematical Modeling of Economic Order Quantity in a Fuzzy Inventory Problem Under Shortages." In Communications in Computer and Information Science, 617–22. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8657-1_47.

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Satwika, Stefanus Ardian, and Nida Tsuroya. "Improvement of the Coal Inventory Management System Using the Economic Order Quantity Method." In Proceedings of the 19th International Symposium on Management (INSYMA 2022), 1046–55. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-008-4_130.

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AbstractIn a business, inventory is frequently known as a source of contention. PT Petrokimia Gresik (PKG) is PT Pupuk Indonesia’s (Persero) subsidiary, an agro-industry company that the government always requires to meet national fertilizer supply to ensure food security and perform more efficient and cost-effective cost savings, through more efficient and economical use of facilities and infrastructure, including inventory management. At PKG, one of the most crucial inventory management issues is coal inventories, which have lately experienced a price increase of more than 200%. The trend of global coal prices has climbed to 2 times higher since 2021. The price of coal in Indonesia has risen from Rp. 500,000 per ton to Rp. 1,500,000 per ton, not to mention the world’s current state of war, the Russian invasion of Ukraine, which has increased fuel prices worldwide, including coal, which is in high demand by utility companies in Indonesia. While PT Petrokimia Gresik must continue to produce despite rising coal prices, inventory must be managed to achieve the lowest possible cost. Adopting the Economic Order Quantity (EOQ) method to improve the coal inventory management system needs to be considered. EOQ is an old theory, but we believe it is still relevant today. We will compare the company’s current coal inventory management to the EOQ method regarding efficiency, efficacy, and expenses associated with reordering, storage, and other factors. The study concludes that PKG’s coal supply system is relatively good, although there is still potential for improvement. The inventory management policies that are in place still refer to the prior period’s experience. Several causes contribute to coal overstock and understock issues, including a coal supply planning system that is not yet optimal. The proposed future improvement is to employ the Economic Order Quantity (EOQ) approach, which can save Rp 684,000,000 per year (average) in inventory expenditures. This demonstrates that the EOQ approach can save 6.7% per year in costs.
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Tang, Z., P. Valenti, and M. Bertoncini. "General Economic Order Quantity Model for Lot Sizing with Quality Loss and Process Analysis." In Proceedings of the Thirty-First International Matador Conference, 73–78. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13796-1_12.

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Chen, Chung-Ho. "The Joint Determination of Optimum Process Mean, Economic Order Quantity, and Production Run Length." In Proceedings of the Institute of Industrial Engineers Asian Conference 2013, 1191–98. Singapore: Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-98-7_141.

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Fu, Kuo En, and Pitchanan Apichotwasurat. "Application of Economic Order Quantity on Production Scheduling and Control System for a Small Company." In Proceedings of the Institute of Industrial Engineers Asian Conference 2013, 861–69. Singapore: Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-98-7_103.

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Conference papers on the topic "Economic Order Quantity"

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Rizaldi, Ardian, Ashaeurizky Dilianaputri, Fitri A. Anugrah, Riska Ummaya, and Senator Nur Bahagia. "An economic order quantity model with continous quantity discount and probabilistic demand." In 2018 5th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2018. http://dx.doi.org/10.1109/iea.2018.8387149.

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Abdullah, Rudi, Samsul Bahari Bahar, Asrianti Dja’wa, and La Ode Dedi Abdullah. "Inventory Control Analysis Using Economic Order Quantity Method." In 1st Borobudur International Symposium on Humanities, Economics and Social Sciences (BIS-HESS 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200529.091.

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Wulan, Elis Ratna, and Wildan Nurjaman. "An economic order quantity model with shortage and inflation." In THE 5TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND NATURAL SCIENCES. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4930642.

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Bhadrachalam, Lakshmi, Suresh Chalasani, and Rajendra V. Boppana. "Impact of RFID technology on economic order quantity models." In 2009 3rd Annual IEEE Systems Conference. IEEE, 2009. http://dx.doi.org/10.1109/systems.2009.4815821.

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Li Hongguang, Liu Yile, and Wang Shengde. "Union economic order quantity of two-level inventory-delivery system." In 2012 IEEE 3rd International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2012. http://dx.doi.org/10.1109/icsess.2012.6269536.

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Poswal, Preety, Anand Chauhan, Rahul Boadh, and Yogendra Kumar Rajoria. "A review on fuzzy economic order quantity model under shortage." In INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “TECHNOLOGY IN AGRICULTURE, ENERGY AND ECOLOGY” (TAEE2022). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0103757.

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Abdullah, Nurmuslimah Kamilah, Mohd Azrai Naim Mohd Mawardi, and Ruzaidah A. Rashid. "Economic order quantity (EOQ): An alternative at Routine Maintenance Company." In 2013 IEEE Business Engineering and Industrial Applications Colloquium (BEIAC). IEEE, 2013. http://dx.doi.org/10.1109/beiac.2013.6560231.

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Bulancak, Evren, and Nureddin Kirkavak. "Economic order quantity model with backorders using trapezoidal fuzzy numbers." In 2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control (ICSCCW). IEEE, 2009. http://dx.doi.org/10.1109/icsccw.2009.5379488.

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Tajpal and Monika Abrol. "Economic Order Quantity Method for a Virtual VM Distributed System." In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART). IEEE, 2022. http://dx.doi.org/10.1109/smart55829.2022.10046908.

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Jinsong Hu, Caiyun Guo, Ruqian Xu, and Yaping Ji. "Fuzzy economic order quantity model with imperfect quality and service level." In 2010 Chinese Control and Decision Conference (CCDC). IEEE, 2010. http://dx.doi.org/10.1109/ccdc.2010.5498441.

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Reports on the topic "Economic Order Quantity"

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Heitman, Joshua L., Alon Ben-Gal, Thomas J. Sauer, Nurit Agam, and John Havlin. Separating Components of Evapotranspiration to Improve Efficiency in Vineyard Water Management. United States Department of Agriculture, March 2014. http://dx.doi.org/10.32747/2014.7594386.bard.

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Vineyards are found on six of seven continents, producing a crop of high economic value with much historic and cultural significance. Because of the wide range of conditions under which grapes are grown, management approaches are highly varied and must be adapted to local climatic constraints. Research has been conducted in the traditionally prominent grape growing regions of Europe, Australia, and the western USA, but far less information is available to guide production under more extreme growing conditions. The overarching goal of this project was to improve understanding of vineyard water management related to the critical inter-row zone. Experiments were conducted in moist temperate (North Carolina, USA) and arid (Negev, Israel) regions in order to address inter-row water use under high and low water availability conditions. Specific objectives were to: i) calibrate and verify a modeling technique to identify components of evapotranspiration (ET) in temperate and semiarid vineyard systems, ii) evaluate and refine strategies for excess water removal in vineyards for moist temperate regions of the Southeastern USA, and iii) evaluate and refine strategies for water conservation in vineyards for semi-arid regions of Israel. Several new measurement and modeling techniques were adapted and assessed in order to partition ET between favorable transpiration by the grapes and potentially detrimental water use within the vineyard inter-row. A micro Bowen ratio measurement system was developed to quantify ET from inter-rows. The approach was successful at the NC site, providing strong correlation with standard measurement approaches and adding capability for continuous, non-destructive measurement within a relatively small footprint. The environmental conditions in the Negev site were found to limit the applicability of the technique. Technical issues are yet to be solved to make this technique sufficiently robust. The HYDRUS 2D/3D modeling package was also adapted using data obtained in a series of intense field campaigns at the Negev site. The adapted model was able to account for spatial variation in surface boundary conditions, created by diurnal canopy shading, in order to accurately calculate the contribution of interrow evaporation (E) as a component of system ET. Experiments evaluated common practices in the southeastern USA: inter-row cover crops purported to reduce water availability and thereby favorably reduce grapevine vegetative growth; and southern Israel: drip irrigation applied to produce a high value crop with maximum water use efficiency. Results from the NC site indicated that water use by the cover crop contributed a significant portion of vineyard ET (up to 93% in May), but that with ample rainfall typical to the region, cover crop water use did little to limit water availability for the grape vines. A potential consequence, however, was elevated below canopy humidity owing to the increased inter-row evapotranspiration associated with the cover crops. This creates increased potential for fungal disease occurrence, which is a common problem in the region. Analysis from the Negev site reveals that, on average, E accounts for about10% of the total vineyard ET in an isolated dripirrigated vineyard. The proportion of ET contributed by E increased from May until just before harvest in July, which could be explained primarily by changes in weather conditions. While non-productive water loss as E is relatively small, experiments indicate that further improvements in irrigation efficiency may be possible by considering diurnal shading effects on below canopy potential ET. Overall, research provided both scientific and practical outcomes including new measurement and modeling techniques, and new insights for humid and arid vineyard systems. Research techniques developed through the project will be useful for other agricultural systems, and the successful synergistic cooperation amongst the research team offers opportunity for future collaboration.
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