Wyniki wyszukiwania - BazTech

1

System wspomagania wystawiania dokumentów i ewidencji stanów magazynowych

Bukowski Jakub, Zych Grzegorz

Studia i Materiały Informatyki Stosowanej

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2025

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T. 17, nr 1

19--23

PL

Niniejszy artykuł opisuje projekt oraz implementację systemu wspomagającego proces wystawiania dokumentów oraz prowadzenia ewidencji stanów magazynowych w przedsiębiorstwie. System został opracowany z wykorzystaniem języka C# dla aplikacji desktopowej oraz języka Java dla aplikacji mobilnej, z wykorzystaniem bazy danych MySQL. Stworzenie systemu miało na celu ułatwienie procesów magazynowych poprzez implementację intuicyjnego interfejsu użytkownika, efektywnej synchronizacji danych i możliwości do rozbudowy w przyszłości.

EN

This article describes the design and implementation of a system supporting the process of document issuance and inventory management in a company. The system was developed using C# for the desktop application and Java for the mobile application, utilizing a MySQL database. The goal of creating the system was to simplify warehouse processes by implementing an intuitive user interface, efficient data synchronization, and the potential for future expansion

2

Adaptive Stochastic Approach for Evaluating Service Level Using a (SIM-ESL) Module Developed for Optimizing Product Availability and Order Accuracy

Aufy Samah A., Jabbar Rasha, Shiaa Waad Q.

Management Systems in Production Engineering

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2025

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nr 2 (33)

220-228

EN

Inventory decisions are both high risk and high benefit throughout supply chain. Inventory management plays a crucial role since it assists manufacturing firms enhance their efficiency and competitiveness. Service level is a basic performance indicator of shortage inventory when an order is placed. Precise forecasts and optimum level of inventory can decrease the stock-outs and enhance the inventory service level. Finished goods are most common form of inventories have direct related with customer. Thus, the importance of specifying the suitable level of finished goods inventory assets for right planning and control of factory operations and optimization of the overall process to optimize production cost and time and consequently to improve service level. So, inventory management system supported by real time is requisite to ensure consistently both product availability and order accuracy. In this study, adaptive stochastic inventory management approach for evaluation service level was modelled which addressed inventory policies in order to optimize service level as a realistic value. This approach developed a Stochastic Inventory Management for Evaluating Service Level (SIMESL) module basically formulated Computational Intelligent (CI) in such a way that evaluated Availability Of Product (AOP) and Accuracy Of Order (AOO). It is structured with two models are: Evaluation Dynamic Maximum Economic Order Quantity (EDEOQ) model developed Artificial Neural Network (ANN) to evaluate the optimum inventory level of finished goods as a function of product varied demand and lead time. The second one, Variability Between-Among Dynamic Economic Order Quantity (VB-ADEOQ) is modeled a fuzzy logic to estimate the performance measures (AOP and AOO) that make sure the required order is being processed and delivered on time. Finally, the effectively of the adaptive approach is evaluated through a tested theoretical data. The obtained results were proof it’s efficiently in exactly evaluating of an unavailable the required demand about 46.937% and delivered to their final destination without errors about 56.655%. While, Taguchi method used to optimize and determine relative magnitude of the effect of various factors and their interactive. The obtained results were proved and reliability in determining the customer satisfaction score in real-world. Finally, the developed module was proved their reliability and accurately in addressing the vague data, uncertainty, no formulas, and varied inputs in determining the customer satisfaction score in real-world. Consequently, it clearly makes the developed module a better choice for inventory level forecasting, and then it will assist manufacturing industries improve their business process procedures without incurring significant capital expenditure.

3

Study of the pattern of oil and gas deposits and forecasting favorable targets on the southeastern side of the Caspian basin

Zhang Shun, Li Yonggui, Liu Zhengliang, Qin Guojin, Li Kaiyuan

Gospodarka Surowcami Mineralnymi

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2025

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Vol. 41, iss. 1

107--122

EN

The study’s relevance lies in the region’s strategic importance for energy security and economic development and the need to devise optimal strategies for hydrocarbon reserves production and management in the face of global market changes and environmental challenges. This study aimed to investigate the geological and geochemical characteristics that influence oil and gas formation and accumulation on the southeastern side of the Pre-Caspian Basin. The research used analytical, classification, statistical, structural-functional, functional, deductive, and synthesis methods. As part of the study of the southeastern flank of the Pre-Caspian Basin, a comprehensive analysis of geological and geophysical data, including detailed seismic interpretation and geochemical analysis of rocks and fluids, was carried out. This multivariate analysis revealed the essential structural features of the region and identified prospective traps for oil and gas. The findings of this study emphasize the strategic importance of the region as a potential source of energy resources while highlighting the importance of attention to environmental and social aspects in the development of these resources. This study represents a significant contribution to the oil and gas industry and helps guide the region’s strategic development with sustainability and resource efficiency in mind. The practical significance of this study is to provide a basis for more efficient exploitation and management of oil and gas resources on the southeastern side of the Caspian Basin, contributing to the region’s economic development and energy security.

PL

Trafność opracowania wynika ze strategicznego znaczenia regionu dla bezpieczeństwa energetycznego i rozwoju gospodarczego oraz konieczności opracowania optymalnych strategii wydobycia i zarządzania złożami węglowodorów w obliczu zmian na rynku światowym i wyzwań środowiskowych. Celem tej analizy było zbadanie cech geologicznych i geochemicznych wpływających na powstawanie i akumulację ropy i gazu w południowo-wschodniej części Basenu Przedkaspijskiego. W badaniach wykorzystano metody analityczne, klasyfikacyjne, statystyczne, strukturalno-funkcjonalne, funkcjonalne, dedukcyjne i syntetyczne. W ramach badań południowo-wschodniej flanki Basenu Przedkaspijskiego przeprowadzono kompleksową analizę danych geologicznych i geofizycznych, obejmującą szczegółową interpretację sejsmiczną oraz analizę geochemiczną skał i płynów. Ta wielowymiarowa analiza ujawniła podstawowe cechy strukturalne regionu i zidentyfikowała potencjalne pułapki dla ropy i gazu. Wyniki tego badania podkreślają strategiczne znaczenie regionu jako potencjalnego źródła zasobów energii, podkreślając jednocześnie znaczenie dbałości o aspekty środowiskowe i społeczne w rozwoju tych zasobów. Badanie to stanowi znaczący wkład w przemysł naftowy i gazowy i pomaga kierować strategicznym rozwojem regionu z myślą o zrównoważonym rozwoju i efektywnym wykorzystaniu zasobów. Praktyczne znaczenie niniejszego opracowania polega na stworzeniu podstaw dla bardziej efektywnej eksploatacji i zarządzania zasobami ropy i gazu po południowo-wschodniej stronie Basenu Morza Kaspijskiego, przyczyniając się do rozwoju gospodarczego regionu i bezpieczeństwa energetycznego.

4

The modelling of cargo transshipment operations using the business process modelling tools

Popa Catalin, Goia Ionela

Zeszyty Naukowe. Transport / Politechnika Śląska

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2024

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z. 124

157--169

EN

This paperwork explores the transshipment operations at the Port of Constanta, Romania, focusing on the unloading of big bags from barges. Utilizing Business Process Management (BPM) software, the study models the transshipment process to identify optimization opportunities. The investigation reveals challenges such as coordination complexities and potential cargo damage, alongside the benefits of cost-efficiency and flexibility offered by transshipment services. Through literature review and analysis, the study emphasizes the importance of efficient business processes and the role of BPM software in enhancing operational efficiency. By employing Aura Portal Modeller for simulation, the study identifies bottlenecks and proposes optimization strategies for the transshipment process. The proposed measures include real-time cargo assessment, inventory tracking systems, equipment analysis, and storage layout optimization. This research contributes to the understanding of transshipment operations and highlights the effectiveness of BPM software in process visualization and analysis, offering insights for enhancing efficiency and mitigating delays in supply chain management.

5

Inventory management in industrial processing enterprises in the context of crisis conditions

Czarny Anna

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

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z. 198

97--122

EN

Purpose: The purpose of this article was to assess changes and trends in the main parameters characterizing inventory management in industrial processing enterprises in 2006-2009, 2010- 2013 and 2018-2022. Design/methodology/approach: The analysis covered business entities by Divisions of Section C - “Manufacturing” in relation to four crisis situations. The research undertaken is descriptive, spatial-temporal and critical analysis - the changes and deviations of selected indicators from average values in periods of prosperity are indicated. The presentation of the research results includes descriptive form and graphical form in the form of figures. The numerical data came from the Statistics Poland website. Findings: In the majority of manufacturing enterprises, all crisis situations had an adverse effect on inventory management. The exceptions were D17, D21 and D32 enterprises, which showed no negative sensitivity to crisis situations. Research limitations/implications: The geopolitical and macroeconomic situation has impeded most of the favorable trends after the post-pandemic “rebound” in 2022. For this reason, it was difficult to clearly assess the impact of the energy crisis on inventory management at the surveyed companies. Originality/value: The originality of the study lies in the fact that it was carried out for four different crisis situations and was concerned with assessing changes in the parameters characterizing inventory management, rather than assessing the value of indicators.

6

System zarządzania zapasami z wykorzystaniem metody ABC - case study na przykładzie przedsiębiorstwa produkcyjnego z branży budowlanej

Katsko Anastasiya, Gola Arkadiusz

Zarządzanie Przedsiębiorstwem

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2024

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Vol. 27, nr 1

13--23

EN

Controlling the size of inventories in a manufacturing company allows, firstly, to reduce costs, secondly, to increase profits, and thirdly, to relieve the burden on working capital. In practice, the approach and indicators chosen by companies for inventory management and planning often turn out to be ineffective, which may subsequently cause problems related to lack of funds for settlements with suppliers, lack of warehouse space, the possibility of losing important customers, and the like. The combination of all such problems can lead to the bankruptcy of a company. Inventory control is a complex process that should be improved. The aim of the research work was to analyze inventory management and develop directions for improving and increasing the efficiency of the inventory control system of a selected company from the construction industry. The article characterizes the activities of the analyzed company, and an analysis of inventory control was carried out, during which problems related to this process were revealed. As part of the project, three groups were distinguished in terms of rotability of finished beam-type products. As a result, recommendations for solving the existing shortcomings were proposed for each group.

7

Approaches to developing hybrid fulfillment models for e-commerce: The synergy of delivery and storage

Tovstolis Igor

Journal of Sustainable Development of Transport and Logistics

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2024

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Vol. 9, No. 2

21--31

EN

Purpose: This study explores innovative approaches to hybrid fulfillment models in e-commerce, focusing on integrating multiple strategies to meet evolving market demands and enhance operational efficiency. Methodology: The research employs observational and analytical methods, drawing on both primary and secondary data from companies operating in the e-commerce fulfillment sector. Results: The study identifies key methods for hybrid fulfillment, including cross-docking, micro-fulfillment networks, and intelligent distribution. These approaches enable businesses to optimize order processing, reduce costs, and improve service quality. A case study of Gymshark demonstrates the successful implementation of a hybrid model, combining centralized warehousing with localized fulfillment centers. Theoretical contribution: This research contributes to the ongoing development of supply chain management strategies by providing a comprehensive analysis of hybrid fulfillment models and their potential to address challenges in traditional fulfillment approaches. Practical implications: The findings offer practical insights for e-commerce businesses seeking to enhance operational efficiency, customer satisfaction, and market competitiveness through the adoption of hybrid fulfillment models.

8

Analyzing the historical and current perspective of the relationship between inventory policies and CSR

Mohammad Suleiman Jamal, Saxunová Darina, George Kenneth B., Comite Ubaldo, Ahmed Mansoor, Popp József

Polish Journal of Management Studies

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2023

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Vol. 28, No. 2

223--238

EN

In this study, we analyze how a company's inventory policy changes because of adopting CSR policies in the manufacturing companies listed on the Shanghai Shenzhen stock exchange by targeting manufacturing companies, as their overall policies are greatly impacted by the level of inventory. The analysis focus on how inventory policies affect Chinese companies' CSR. Inventory levels affect company policies therefore we chose manufacturing companies. The uniqueness of the topic warranted us to research CSR and Inventory management from historical and current viewpoints. The topic has few investigations, especially in China. Increased worker, consumer, and environmental satisfaction may impact volume, according to this study. Given the uniqueness of the topic, there are a very limited number of studies conducted on the topic, especially in the Chinese context, which warrants us to conduct the study, keeping in view the historical and present perspectives of both CSR and Inventory management. In this study, we take this step further by examining whether the volume is affected by efforts to improve the satisfaction of staff, consumers, and the natural environment. We found that customer satisfaction positively affects the cost-to-sales ratio. Environmental consciousness harms the ratio, and employee satisfaction has an inverted U-shaped association with this ratio. It was also found that customer satisfaction positively correlates with inventory levels. Our research has shown that increased levels of social responsibility led to decreased levels of customer corporate social responsibility and increased levels of CSR, which explains the non-linear relationship between a company's total CSR and the to-sales ratio. According to the collected data, the ratio of profits to sales tends to increase when a company's CSR rating is much higher (or lower) than the mean of the CSR distribution.

PL

W niniejszym badaniu analizujemy, jak zmienia się polityka firmy w zakresie zapasów w związku z przyjęciem polityki CSR w spółkach produkcyjnych notowanych na giełdzie w Szanghaju i Shenzhen. Skoncentrowano się na spółkach produkcyjnych, ponieważ ich profil działania i ogólna polityka ma duży wpływ na poziom zapasów. Analiza koncentruje się na tym, jak polityka dotycząca zapasów wpływa na CSR chińskich firm. Wyjątkowość tematu skłoniła nas do zbadania CSR i zarządzania zapasami z historycznego i aktualnego punktu widzenia. Temat ten obejmuje niewiele badań, zwłaszcza w Chinach. Zgodnie z niniejszym badaniem zwiększona satysfakcja pracowników, konsumentów i środowiska może mieć wpływ na wielkość produkcji. Biorąc pod uwagę wyjątkowość tematu, istnieje bardzo ograniczona liczba badań przeprowadzonych na ten temat, zwłaszcza w kontekście chińskim, co uzasadnia przeprowadzenie badania, biorąc pod uwagę historyczne i obecne perspektywy zarówno CSR, jak i zarządzania zapasami. W niniejszym badaniu poszliśmy o krok dalej, sprawdzając, czy wysiłki na rzecz poprawy satysfakcji pracowników, konsumentów i środowiska naturalnego mają wpływ na wielkość sprzedaży. Okazało się, że zadowolenie klientów pozytywnie wpływa na stosunek kosztów do sprzedaży. Świadomość ekologiczna szkodzi temu wskaźnikowi, a zadowolenie pracowników ma związek z tym wskaźnikiem w kształcie odwróconej litery U. Stwierdzono również, że zadowolenie klientów pozytywnie koreluje z poziomem zapasów. Nasze badania wykazały, że zwiększony poziom odpowiedzialności społecznej doprowadził do zmniejszenia poziomu społecznej odpowiedzialności biznesu klientów i zwiększenia poziomu CSR, co wyjaśnia nieliniowy związek między całkowitą CSR firmy a wskaźnikiem sprzedaży. Zgodnie z zebranymi danymi, stosunek zysków do sprzedaży ma tendencję wzrostową, gdy ocena CSR firmy jest znacznie wyższa (lub niższa) niż średnia rozkładu CSR.

9

Inventory Classification with Limitations in the Number of Changeovers and Space for Inventory

Kuo Yiyo, Jiang Hao-Chen

Management and Production Engineering Review

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2023

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Vol. 14, No. 4

92--99

EN

This research addresses an inventory classification problem in a company that manufactures plastic pallets. Classification of the inventory is difficult because it is subject to two restrictions: the number of changeovers and the size of inventory storage. A mathematical model is first proposed to maximize the fill rate by classifying all product items into four groups. Due to all items can be classified based on the monthly demand, in descending order. The present study then proposed a procedure to find the classification that is most efficient. According to the experimental results, the maximum fill rate in the current situation is 89.85%. The proposed methodology also tested different production batches and levels of demand. The proposed methodology was found to be appropriate for practical application.

10

Supporting the inventory management in the manufacturing company by ChatGPT

Skórnóg Damian, Kmiecik Mariusz

LogForum

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2023

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Vol. 19, no. 4

535--554

EN

Background: The decision-making process in the operational context of enterprises is an integral aspect of how they function, and in this area, precise demand forecasting plays a key role. The use of accurate forecasting models not only meets customer expectations but also enables efficient resource allocation and operational cost optimization. In the long term, such actions contribute to increasing the organization's competitiveness in the market. In recent years, there has been a growing trend in the use of advanced analytical technologies, including machine learning, for demand forecasting purposes. This scientific paper focuses on a comparative analysis of demand forecasting effectiveness using the generative language model GPT in relation to the auto ARIMA algorithm. Methods: A case study analysis for a selected manufacturing organization was conducted based on twelve diversified operational references, for which the supply chain mechanisms are heterogeneous. In the research process, a classification into four reference groups was established, based on the time required to complete the ordering process. Forecast generation was carried out using the auto.arima() algorithm in the R programming environment, as well as through the ChatGPT language model versions 3-5. The forecast results were subjected to comparative analysis, in which weighting was applied for different forecast accuracy indicators, including the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and the number of precisely predicted daily forecasts. Results: The study showed that ChatGPT is more reliable in forecasting compared to ARIMA. However, integrating ChatGPT into the existing systems in the company can be problematic, mainly due to limitations in data operations. Despite this, ChatGPT has the potential to improve the accuracy of inventory management plans both in the short and long term. Conclusions: The comparative analysis of the effectiveness of forecasting models, including ChatGPT and ARIMA, showed that the ChatGPT algorithm achieves higher levels of forecasting accuracy. This is observed despite increased computational complexity and challenges associated with processing large data sets.

11

Circular supply chain management with blockchain integration

Hau Bui Minh, You Sam-Sang, Cho Gyu-Sung, Yeon Jeong-Hum, Kim Hwan-Seong

LogForum

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2023

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Vol. 19, no. 4

515--533

EN

Background: Circular supply chain management encourages manufacturers to take advantage of used materials and industrial wastes, ensuring social and economic benefits of enhanced environmental sustainability in production. With the development of digital technologies, transactions can be recorded within distributed or decentralized ledger technology. To improve the reliability of digital transactions on the internet, manufacturers need to apply security software such as blockchain technology across a network. Blockchain technology in the supply chains brings transparency, traceability, and security to online transactions, increasing customer attractiveness to the used product and recycling process. Secure transactions might bring significant benefits to the future of the retail industry. The manufacturer exploits the retailer as an online store. Consumers access an online store for purchase, return, and comment on the manufacturer's products. Methods: This research presents a novel meta-heuristic algorithm, specifically, adaptive particle swarm optimization (adaptive PSO), to determine the optimal policy for product price and quantity of materials imported from suppliers for maximizing total profits with sustainability. The adaptive PSO algorithm evaluates the fitness function involving discrete random variables. The supply chain model captures realistic conditions by considering the inherent uncertainties of customer demand. Two scenarios in business settings have been tested on the same customer demand. The proposed framework is intended to yield a more sustainable, resilient, and regenerative system, securing the data of the shared community. Results: The swarm intelligence algorithm implements profit optimization to determine the unit price of the product and the number of materials to be imported. The numerical experiments are conducted to demonstrate the efficacy of the optimal strategy and to evaluate the effect of the number of used products returned to the recycling center. An effective circular supply chain management is realized based on a secure database shared across a network of participants. Key findings significantly contribute to the intelligent decision support system for optimizing inventory management under various stochastic scenarios. Conclusions: Sharing, reusing, repairing, and remanufacturing help companies transition to a circular economy, minimize waste, diversify sources of supply, and maintain production continuity. Transactions on the blockchain framework become transparent and traceable. Based on the circular economy and blockchain platform, this study deals with an adaptive particle swarm optimization algorithm (APSO) to determine the optimal policy for product unit price and quantity of materials imported from suppliers to maximize total profits. The presented methodology can provide better supply chain visibility and traceability under highly realistic stochastic environments.

12

Poziomy zapasów w obszarze zarządzania częściami zamiennymi

Mączyński Wojciech

Kierunek Spożywczy

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2023

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Nr 3

57-58, 61-63

PL

Wpisując w popularną przeglądarkę internetową hasło „zarządzanie częściami zamiennymi”, uzyskujemy 1 830 000 odpowiedzi. Nie jesteśmy w stanie przejrzeć wszystkich, a i te, które przeczytamy, mogą nam nie pomóc. Jak zatem opracować odpowiednią strategię we wspomnianym obszarze?

13

Analysis of inventory management on the example of a selected company – results of an empirical

Bekisz Agnieszka, Owczarek Julia

Organizacja i Zarządzanie : kwartalnik naukowy

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2022

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nr 3

51--62

EN

Introduction/background: This paper presents the possibilities offered by ABC analysis by number of releases for solving complex problems in the area under study. The use of appropriate inventory management methods makes it possible to support decisions on flows in the company's logistics system. This contributes to quick action leading to the optimisation or transformation of ongoing logistics processes and the reduction of the associated risks. Aim of the paper: The aim of the article is to present the dysfunctions in the area of inventory management in a selected company, to identify their negative impact on the implemented processes and to propose corrective actions. In addition, the importance of inventory, problems and challenges of the company based on the storage of goods is highlighted. An evaluation and recommendation of the described company is also made Materials and methods: A literature study was carried out to identify key dysfunctions in the area of stock management. In addition, a detailed analysis of stock levels and their management in the warehouse of the company "GUSPOL" was carried out using the ABC method. Results and conclusions: Based on the data provided by the company, an ABC analysis was carried out. Thanks to this, each assortment item was characterised and assigned to the corresponding ABC group. A change to the conceptual design of the warehouse was proposed, involving a change in the storage locations of the technical gas cylinders and the addition of shelving, making the floor space more functional and employee-friendly.

14

The effectiveness of the implemented inventory management method ‒ case study of a manufacturing company

Skalik-Lubieniecka Paulina

Logistics and Transport

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2022

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Vol. 55-56, No. 3-4

103--118

EN

One of the basic factors influencing the functioning of production enterprises is the correct inventory management. There are many methods that have been analysed and improved in recent years, but they often differ from company practices. In addition, technological development that allows for production support forces enterprises to take specific actions in the area of warehouses and inventory management. The article presents considerations on selected aspects of inventory management and analyses this element in a selected company. An analysis of the purchases of strategic raw materials in the last months in connection with the invasion of Ukraine andthe reduced availability of production materials was also presented.

15

Lean inventory management of an industrial tool distributor in Thailand using a data visualization tool

Kongprasert Nattapong, Garrett Tuchcha, Saengphueng Sompop

Zeszyty Naukowe Politechniki Poznańskiej. Organizacja i Zarządzanie

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2021

|

Nr 84

111--123

EN

Inventory management continues to play a critical role in the success of an organization. It is the collection of all the materials and goods stored, whether for use to complete the production process or for sale to the customer. The efficiency of inventory management is a challenge for all companies that have a warehouse or distribution center. Therefore, all firms need to adapt their business strategies to survive in a highly competitive market by applying tools or systems to support inventory control and management. This research was conducted to increase the efficiency of inventory management of an industrial tool distributor in Thailand by using the data visualization tool. It focused on the inventory planning process. Lean manufacturing was implemented to identify, improve and eliminate unnecessary activities in operations. Microsoft Power BI is a data visualization tool that was used in this study to support officers in operational decision-making and planning. It facilitated the monitoring of inventory levels, evaluating the value of inventory, and analyzing the key vendors on an almost real-time basis. The results showed that unnecessary activities were improved and simplified by integrating the data visualization tool. The lead time of the inventory planning process was decreased by 76.19% from 10.5 days to 2.5 days per time. It can increase the efficiency of inventory management.

PL

Zarządzanie zapasami nadal odgrywa kluczową rolę w sukcesie organizacji. Zapasem określa się wszystkie materiały i towary przechowywane w celu wykorzystania ich do procesu produkcyjnego czy też sprzedaży klientowi. Efektywność zarządzania zapasami jest wyzwaniem dla wszystkich firm, które mają magazyn lub centrum dystrybucyjne. Wszystkie firmy muszą dostosować strategie biznesowe, aby przetrwać na wysoce konkurencyjnym rynku. W tym celu stosuje się narzędzia lub systemy wspomagające kontrolę i zarządzanie zapasami. Przeprowadzone badanie miało zwiększyć efektywność zarządzania zapasami dystrybutora narzędzi przemysłowych w Tajlandii za pomocą narzędzia do wizualizacji danych. Skupiono się na procesie planowania zapasów. Wdrożono koncepcję zarządzania szczupłego w celu identyfikacji, poprawy i eliminacji zbędnych działań w operacjach. Do wizualizacji danych zastosowano Microsoft Power, które zostało wykorzystane w tym badaniu do wspierania pracowników w podejmowaniu decyzji operacyjnych i planowaniu. Umożliwiło ono monitorowanie poziomów zapasów, ocenę ich wartości oraz analizę kluczowych dostawców w czasie niemal rzeczywistym. Wynik pokazał, że zbędne czynności zostały usprawnione i uproszczone dzięki integracji narzędzia do wizualizacji danych. Czas realizacji procesu planowania zapasów został skrócony o 76,19% z 10,5 dnia do 2,5 dnia. Przeprowadzone badania stanowią przykład, jak można zwiększyć efektywność zarządzania zapasami.

16

Achieving cost efficiency through increased inventory leanness: Evidence from manufacturing industry

Mor Rahul S., Kumar Dinesh, Yadav Sarika, Jaiswal Swatantra K.

Production Engineering Archives

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2021

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Vol. 27, Iss. 1

42--49

EN

Inventory management’s fundamental problem starts with maintaining equilibrium among the operating efficiency, cost of investment, and other allied costs with extensive inventories to keep the actual conflicts at the minimum while optimizing the inventory holding levels. But, inventory management practices have not been well exploited in various manufacturing industries yet. In this study, inventory management tools, i.e., ABC and VED analysis, have been applied in the manufacturing industry, considering 146 items as raw material for an assembly. A total of 15 items under ‘AV’ class have been identified that consume 82.05 % of the total cost, and these items need strict control and frequent ordering. Sigma level of suppliers is also calculated, which comes out to be 2.36, and it must be improved to reduce the overall inventory cost.

17

Contribution Overview to the Evaluation and Development of Spare Parts Management Models: Meta-Heuristic and Probabilistic Methods

Bounou Oumaima, El Barkany Abdellah, El Biyaali Ahmed

Management and Production Engineering Review

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2021

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Vol. 12, No. 1

24--37

EN

The presence of the spare parts stock is a necessity to ensure the continuity of services. The supply of spare parts is a special case of the global supply chain. The main objective of our research is to propose a global spare parts management approach which allows decision makers to determine the essential points in stock management. Thus, it is important for the stock manager to evaluate the system considered from time to time based on performance indicators. Some of these indicators are presented in the form of a dashboard. The presentation of this chapter chronologically traces the progress of our research work. In the first part, we present the work related to the forecast of spare parts needs through parametric and statistical methods as well as a Bayesian modelling of demand forecasting. To measure the appreciation of the supply of spare parts inventory, the second part focuses on work related to the evaluation of the performance of the spare parts system. Thus, we concretize the link between the management of spare parts and maintenance in the third part, more precisely, in the performance evaluation of the joint -management of spare parts and maintenance, in order to visualize the influence of parameters on the system. In the last section of this chapter, we will present the metaheuristic methods and their use in the management of spare parts and maintenance and make an analysis on work done in the literature.

18

Improving the Management of Storage Stock in the Tire Industry Using the Example of a Selected Company

Żabińska Iwona, Czaplicka-Kalaman Paulina

Multidisciplinary Aspects of Production Engineering

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2020

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Vol. 3, Iss. 1

548--558

EN

In a well-organized company, stock levels are precisely planned. In order to optimize inventory, various analyses of inventory usage are carried out in terms of them quantity and status. The work presents research on improving the method of managing inventory in the tire industry using the example of a selected company. The company operates warehouses in which tires for passenger cars and vans are stored. Products stored in warehouses ensure high standards. The company focuses on individuality and has a strong market position. The paper presents the results of the ABC and XYZ analysis that allow grouping tires by demand, value and number. The criteria for choosing the ABC/XYZ method are a simple way of use and low financial outlays, in contrast to such methods as MRP or just in time. Furthermore, calculations of such standards as rotation ratios for individual seasons and optimal inventory were carried out. The rotation indicator allows determine which goods are sold quickly and which goods are selling poorly, and therefore the costs associated with their storage are probably higher than from the sale of profits. As a result of the analysis, improvements were made to the inventory management system. The implementation of the proposed methods and tools for inventory management allowed the company to eliminate unnecessary inventories, reduce storage costs and minimize inventory control.

19

Wykorzystanie narzędzi informatycznych do zarządzania zapasami w BMW Polska

Kozicki Bartosz, Pilipczuk Jakub

Gospodarka Materiałowa i Logistyka

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2020

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nr 8

25--36

PL

W artykule poruszono problem z zakresu wykorzystania narzędzi informatycznych do zarządzania zapasami w BMW Polska. Celem pracy jest usprawnienie zarządzania zapasami w analizowanej firmie poprzez wdrożenie narzędzia informatycznego SRD. Badania rozpoczęto od analizy problemu badawczego w świetle literatury przedmiotu badań. Następnie poddano analizie i ocenie wskaźniki wykorzystywane podczas zarządzania zapasami w badanym przedsiębiorstwie. Do oceny wykorzystano metodę analizy porównawczej, gdzie zestawiono ze sobą wskaźniki przed wdrożeniem nowego narzędzia o nazwie SRD do zarządzania zapasami w badanym przedsiębiorstwie i po wdrożeniu (lata 2018–2019).

EN

The article deals with the problem of using IT tools to manage inventory at BMW Poland. The aim of the paper is to improve inventory management in the analyzed company by implementing the SRD tool. The research began with the analysis of the research problem in the light of the literature of the subject of research. Then, the indicators used during inventory management in the surveyed company were analyzed and evaluated. The method of comparative analysis was used for assessment, where indicators before and after the implementation of a new inventory management tool in the research entity (2018–2019) called SRD were compared.

20

Investigation of the influence of product variety on inventories in hospitals

Aravazhi Agaraoli, Helgheim Berit Irene, Jæger Bjørn

Engineering Management in Production and Services

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2020

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Vol. 12, no. 1

34--44

EN

The literature on product variety provides great insights into various businesses. However, little research has been conducted on product variety in the healthcare industry. This study aims to explore the influence of product variety on inventory in hospitals. Since most hospitals are known to replenish products using a homegrown ad-hoc system, a model is developed for exploring all possible product combinations and substitutions. This article presents the behaviour of product substitution, which may be either one-to-one or many-to-one for both sterile and non-sterile products, in the hospital with cost factors. It discusses the product variety reduction and its corresponding cost impacts. The data on a hospital inventory over the course of six years has been procured from a hospital in Norway. Based on the results, the hospital could have a potential product variety reduction of approximately 11% and cost savings from the spending of approximately NOK 3.6 million. Reducing the variety of products in hospital inventories proves to be an approach to reducing costs. The model developed for the research.