Journal articles: 'Two-warehouses'

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Lin, Jennifer S., Robert H. Lin, Peterson C. Julian, and Jike S. Piao. "Extension for inventory models with two warehouses." Journal of Statistics and Management Systems 10, no. 4 (2007): 561–69. http://dx.doi.org/10.1080/09720510.2007.10701272.

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Malik, A. K., and Harish Garg. "An Improved Fuzzy Inventory Model Under Two Warehouses." Journal of Artificial Intelligence and Systems 3, no. 1 (2021): 115–29. http://dx.doi.org/10.33969/ais.2021.31008.

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The objective of this work is to present an improved inventory system with fuzzy constraints dealing with two warehouses system-own and rented. In the present model, we analyze the system under the consideration of two warehouses and without shortages with the assumptions of the linear demand function (increasing function of time). Generally, in today’s business scenario for sessional products, some constraints like storage cost, deteriorating cost, and ordering cost change with their original values. Therefore, these constraints cannot be assumed to be constant in that situation. Depending on these facts that we handle these costs as a triangular fuzzy number and hence apply the signed distance technique to solve the corresponding problem. The key objective of this work is to determine the optimal inventory level, and inventory time schedule to a minimum of the whole inventory cost. The proposed model is demonstrated with two numerical examples to observe the behavior of constraints with system cost and compare their performance with and without fuzzy environment.

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Torlone, Riccardo. "Two approaches to the integration of heterogeneous data warehouses." Distributed and Parallel Databases 23, no. 1 (2007): 69–97. http://dx.doi.org/10.1007/s10619-007-7022-z.

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Maiti, Manas Kumar, and Manoranjan Maiti. "Fuzzy inventory model with two warehouses under possibility constraints." Fuzzy Sets and Systems 157, no. 1 (2006): 52–73. http://dx.doi.org/10.1016/j.fss.2005.06.021.

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Motla, Ritu, Ashok Kumar, Neha Saxena, and Shib Sankar Sana. "Inventory optimization in a green environment with two warehouses." Innovation and Green Development 2, no. 4 (2023): 100087. http://dx.doi.org/10.1016/j.igd.2023.100087.

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Dao, Ronggui, Yinrong Wen, Tao Yang, and Linjia Li. "Optimization of Temperature and Humidity Monitoring for Warehouse in the same Geographical Environment." E3S Web of Conferences 520 (2024): 01018. http://dx.doi.org/10.1051/e3sconf/202452001018.

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The purpose of this study is to solve the problem: in the warehouse temperature and humidity monitoring, due to the wide area and large number of warehouses, a large number of monitoring systems and equipment are arranged, which need to reduce investment and maintenance costs. Considering the same geographical environment, select 1 or 2 typical warehouses to represent the temperature and humidity of this region, so as to reduce the investment of monitoring equipment. We experimented with two regions separately, with 5 warehouses in each region. Temperature and humidity were collected for a period of time, and cluster analysis was carried out based on their maximum value, average value or comprehensive statistics of the two regions. The results show: (1) When clustering according to the maximum temperature and humidity, there are 2 types of significant differences warehouses in the same geographical environment. (2) When clustering according to the mean value of temperature and humidity, there are 2 or 3 types of significant differences warehouses in the same geographical environment, and the clustering result is different from that of clustering according to the maximum value. (3) When clustering according to the maximum value and average value of temperature and humidity, there is no significant difference warehouses in the same geographical environment, which can be classified as the same warehouse. No matter considering the maximum value, average value or the combination of the two statistics, the typical warehouse can be selected to represent the same geographical environment, so as to reduce the monitoring equipment investment and storage management workload.

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Smith, J. S., T. H. Sanders, and K. L. Crippen. "Storability of Farmers Stock Peanuts at Two Moisture Levels in Mechanically and Naturally Ventilated Miniature Warehouses." Peanut Science 16, no. 1 (1989): 58–62. http://dx.doi.org/10.3146/i0095-3679-16-1-14.

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Abstract Farmers stock peanuts from the same field dried to either 8 or 10% seed moisture content were stored for 6 months (October through March) in mechanically and naturally ventilated miniature metal warehouses. The initial temperatures for the 8% moisture content peanuts were 2–3 C higher than those for the 10% moisture content peanuts. This differential was maintained until early February. Relative humidities, 10 percentage points higher in the 10% initial moisture content peanuts began to equilibrate in December and were similar by late January. Final moisture content of the peanuts from the two mechanically ventilated warehouses was about 7% compared to 7.5% in the two naturally ventilated warehouses. Only small changes in total carbonyls and free fatty acids occurred during storage in the warehouses and sensory evaluation after storage indicated no significant differences among treatments within the medium and No. 1 sizes. No aflatoxin was detected in any seed size category before or after storage. Results indicated that quality of farmers stock peanuts, initial moisture content at 10% or less, can be maintained when stored in a properly constructed and operated mechanically or naturally ventilated warehouse.

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Shih, Naai-Jung, and Yu-Chen Wu. "Hydrogeography-Based Fabric Assessment of Heritage Warehouses." Sustainability 15, no. 2 (2023): 1491. http://dx.doi.org/10.3390/su15021491.

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Brick warehouses represent a form of heritage at a different level of reactivation. Interdisciplinary exploration of social, cultural, and economic development has raised questions regarding the roles these buildings played in the past and how the heritage continued to evolve with the surrounding fabric. This study aimed to explore the spatiotemporal relationship between nine red brick warehouses and the historical development of the urban fabric in the Taipei metropolitan area, Taiwan. The relationship was defined by the quantitative trend assessment of the architecture, river, tributaries, and railroad, based on maps created between 1890 and 2020. The interactions between warehouses and fabric comprised single, meta, and determining indicators. The interactions evolved between two trends comprising intersections, maturity, and fluctuation. The consistent development of the architecture’s ascending trend was used as a reference indicator, by a relative scale to the fully developed stage of 100%. The meta-relationship between trends had a higher percentage and a greater occurrence closer to the present. The percentage totaled 67.74% after 1945 and remained above 50%, another indicator of the evolving frequency and intensity. The nine warehouses, which were part of a tributary branch system, created 11 intersections between 1950 and 1990. We concluded that the former active, supportive role of warehouses changed to a passive role, corresponding to the instrumentation of all trends. The warehouses functioned as trendsetters and interacted with the fabrics in a sustainable urbanization process. This was caused by role substitution, fabric replacement, degenerated dependence, and a diverted two-way relationship with hydrogeography. A geographic distribution of development was demonstrated from the river mouth inland.

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Huang, Yung-Fu, and Chih-Sung Lai. "Retailer’s lot-sizing policy under two warehouses and two levels of delay permitted using algebraic method." Yugoslav Journal of Operations Research 17, no. 1 (2007): 55–74. http://dx.doi.org/10.2298/yjor0701055h.

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The main purpose of this paper is to modify Huang?s model [13] by considering two warehouses. In addition, we try to use algebraic method to determine the optimal lot-sizing policy for the retailer under two warehouses and two levels of delay permitted. This paper provides this algebraic approach that could be used easily to introduce the basic inventory theories to younger students who lack the knowledge of calculus. Furthermore, we develop three easy-to-use theorems to efficiently determine the optimal cycle time and optimal lot sizing for the retailer. As a result, we deduce some previously published results of other researchers as special cases. Finally, a numerical example is given to illustrate these theorems obtained in this paper. In addition, we obtain a lot of managerial insights from this numerical example.

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Ingale, Dr Kishor Y., and Mr Avinash D. Rajegore. "A Deterministic Inventory Model with Two Warehouses and a Finite Rate of Replacement for Deteriorating Products." International Journal for Research in Applied Science and Engineering Technology 12, no. 7 (2024): 1469–72. http://dx.doi.org/10.22214/ijraset.2024.63800.

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Abstract: When demand is uniform, shortages are permitted, and the replenishment rate is finite, a deterministic inventory model for degrading items with two warehouses is created. It is anticipated that there may be differences in the rates of item deterioration between the two warehouses. An analysis of the model is conducted for the continuous release pattern situation. The variance in the ideal inventory level and optimum cost for changing shortage costs is illustrated with a numerical example and discussion of several unique instances

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Sharma, Preeti, Sanjay Sharma, B. B. Singh, and Anand Tyagi. "Effect of Inflation on Two Storage Inventory Model with Time Dependent Deteriorating Items and Stock Dependent Demand." International Journal of Mathematical, Engineering and Management Sciences 5, no. 3 (2020): 544–55. http://dx.doi.org/10.33889/ijmems.2020.5.3.045.

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For deteriorating product, there always be a pressure on the company to maximize the profit. In the present model, an effort is made to develop a production inventory control model having two separate warehouses. In most of the study, the demand is assumed as time dependent which is not appropriate; but here authors have considered stock based demand. An approach is taken into consideration that deterioration rate different for different warehouses.

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Punyim, Puntipa, Ampol Karoonsoontawong, Avinash Unnikrishnan, and Vatanavongs Ratanavaraha. "A Heuristic for the Two-Echelon Multi-Period Multi-Product Location–Inventory Problem with Partial Facility Closing and Reopening." Sustainability 14, no. 17 (2022): 10569. http://dx.doi.org/10.3390/su141710569.

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In this paper, the two-echelon multi-period multi-product location–inventory problem with partial facility closing and reopening is studied. For each product and period, plants serve warehouses, which serve consolidation hubs, which service customers with independent, normally distributed demands. The schedule of construction, temporary partial closing, and reopening of modular capacities of facilities, the continuous-review inventory control policies at warehouses, the allocation of customer demands to hubs, and the allocation of hubs to warehouses are determined. The service levels for stockout at warehouses during lead time and the violation of warehouse and hub capacities are explicitly considered. The proposed mixed-integer non-linear program minimizes the weighted summation of the number of different facilities and logistical costs, so that the number of different facilities can be controlled. Since the proposed model is np-hard, the multi-start construction and tabu search improvement heuristic (MS-CTSIH) with two improvement strategies and the modified MS-CTSIH incorporating both strategies are proposed. The experiment shows that the two improvement strategies appear non-dominated, and the modified MS-CTSIH yields the best results. The comparison of the modified MS-CTSIH and a commercial solver on a small instance shows the efficiency and effectiveness of the modified MS-CTSIH. The sensitivity analyses of problem parameters are performed on a large instance.

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Caprili, Silvia, Francesco Morelli, Walter Salvatore, and Agnese Natali. "Design and Analysis of Automated Rack Supported Warehouses." Open Civil Engineering Journal 12, no. 1 (2018): 150–66. http://dx.doi.org/10.2174/1874149501812010150.

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Background: The lack of codified standards for the design of automated rack supported warehouses forced engineers to use personal experience and commonly accepted rules. Objective: This paper investigates the efficacy of applying Eurocodes’ rules for the design and analysis of automated rack supported warehouses. Structural performance, construction feasibility and economic effort are considered. Method: A typical case study building was designed following the two approaches proposed by Eurocodes: elastic and dissipative. Results: The satisfaction of the capacity design requirements, used for dissipative approach, was not always possible. Analyses showed the development of non-uniform collapse mechanisms and yielding patterns. Conclusion: Specific design rules and analysis techniques shall be developed accounting for the structural performance of automated rack supported warehouses.

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Dhavale, Sindhu R., Gajanan C. Lomte, and Omprakash S. Jadhav. "INTEGRATED COST OPTIMIZATION IN SUPPLY CHAINS: A MIXED INTEGER LINEAR PROGRAMMING APPROACH." Journal of Dynamics and Control 9, no. 4 (2025): 54–70. https://doi.org/10.71058/jodac.v9i4005.

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This Paper presents an integrated supply chain optimization model designed to minimize total costs in supply chain management using a Mixed Integer Linear Programming (MILP). The primary objective is to reduce overall transportation costs within the supply chain, including costs at each stage and inventory costs at warehouses. The model also ensures customer demands are met while considering the capacity constraints of suppliers, manufacturers, warehouses and customer zones. The supply chain in this Paper includes four echelons: supplier, manufacturer, warehouse and customer. Specifically, it comprises six suppliers, two manufacturers, five warehouses and five customer locations. By integrating these elements into a cohesive optimization model, businesses can make data-driven decisions to enhance supply chain efficiency and lower overall costs.

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Ramkumar, N., P. Subramanian, T. T. Narendran, and K. Ganesh. "An Approach for Setting Inventory Norms for a Two-Echelon Supply Chain." International Journal of Information Systems and Supply Chain Management 6, no. 4 (2013): 102–19. http://dx.doi.org/10.4018/ijisscm.2013100106.

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Managing inventories is crucial to the objective of minimizing supply chain costs. This paper presents an approach for setting inventory norms in context of a real-life case of an industry which practices Vendor Managed Inventory (VMI). The role of warehouses and the inventories held by them becomes significant in such an environment. This paper presents a two-phase approach to determine various components of inventory norms taking into account lead time and demand variability. Innovative strategic product classification has been done to decide upon stocking quantity at warehouses.

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Amit Kumar. "Optimizing Red Wine Inventory with Deterioration Control: A Two-Warehouse LIFO Dispatch Strategy." Journal of Information Systems Engineering and Management 10, no. 30s (2025): 774–87. https://doi.org/10.52783/jisem.v10i30s.4901.

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This study presents a two-warehouse inventory model tailored for the red wine industry, addressing the challenges associated with perishable goods. The model incorporates the effects of inflation and operates under the Last In, First Out (LIFO) distribution policy. The objective is to minimize the total inventory cost, which includes storage costs and inflation-adjusted purchasing costs. The demand for red wine is assumed to be constant and known, with no shortages permitted. The inventory system consists of two warehouses, A and B, with predefined initial stock levels. Inventory balance equations govern stock levels, accounting for transfers between warehouses and customer demand. The LIFO policy determines the transfer quantities between warehouses, ensuring efficient stock management. Inflation is incorporated by adjusting the purchasing costs based on historical trends or other relevant economic factors. The model optimizes stock levels and transfer rates to achieve cost savings while maintaining uninterrupted supply. By providing a structured decision-making framework, this study offers valuable insights for inventory management in the red wine industry, considering both product deterioration and the economic impact of inflation.

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Yadav, Ajay Singh, Navin Ahlawat, and Sharat Sharma. "A Particle Swarm Optimization for Inventory of Auto Industry Model for Two Warehouses with Deteriorating Items." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 66–74. http://dx.doi.org/10.31142/ijtsrd15791.

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Ivashko, Larysa. "OPTIMIZATION OF LOGISTICS PROCESS MANAGEMENT IN TRADE." Market economy: modern management theory and practice 21, no. 3(52) (2023): 360–84. http://dx.doi.org/10.18524/2413-9998.2022.3(52).275817.

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The article considers the theoretical and methodological and practical principles of logistics processes management. Current trends in logistics development are outlined. It is shown that the trends demonstrate active implementation in the management processes of the elements of Logistics 4.0. The expediency of using economic-mathematical methods and models to solve logistics tasks is reasoned. An overview of ecommerce processes, typical for today, both in the world and in Ukraine, which directly cause changes in logistics, is made. The problem of optimization of transport costs for delivery of goods from the warehouses of the online store "Hope" to customers, taking into account the non-stationarity (seasonality) factor is defined. The economic-mathematical model of the problem of logistics processes management has been built and adapted as follows: selection of two seasonally-leased warehouses from five reserve ones and optimization of transport costs for delivery of goods from warehouses of the online store to customers. This optimization model was implemented to solve the problem of optimizing logistics costs for the online store "Hope", taking into account seasonal demand, transport tariffs, warehouses capacity and forecasted sales volumes. Various ways to solve the problem of logistics process management, which allows us to show the additional benefits of using these methods and determine the effectiveness of the decision taken are considered as well. The solution for the choice of warehouses and the optimal plan for delivery of goods to customers in order to minimize transportation costs is obtained. It is shown that with the use of economic and mathematical modeling to solve the problem of seasonally adaptive transition for logistics process management, it is possible to make the best choice of two additional leased warehouses from the five reserve ones, to find the optimal delivery plan, to reduce the total length of delivery route and, consequently, the costs of transportation of goods, to avoid shortages of goods in warehouses, in a timely manner and with minimal costs to satisfy the interests of customers of online store "Hope" goods. The economic interpretation of the results of the models implementation is presented and recommendations for their use are provided to achieve minimization of transportation costs, maximum flexibility, speed, reliability of the supply chain, ie to make effective management decisions.

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Johansson, Kristina, Klara Rydström, and Tiziana Sardiello. "Bortom servicefronten. E-handelsarbetets platser och ojämlikhetsmönster." Tidskrift för genusvetenskap 44, no. 1-2 (2024): 58–81. http://dx.doi.org/10.55870/tgv.v44i1-2.13960.

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The digitalization of retailing is restructuring consumption as well as retail work. Unlike front-line service work in stores, online retail work is defined by indirect service work at a distance from customers at warehouse sites. The rapid pace of change means that knowledge about online retail workplaces and its employees is still fragmentary. Empirically drawing on Swedish national statistics and an ongoing study of five online retail warehouses, this article explores intersections of online retail warehousing, gender and racialization, and meanings of place therein. National statistics show that online retail employs more men and more foreign-born than retailing in general. While retailing is dominated by small workplaces, online retail warehouses are either small or large and the proportion of women and Swedish-born is lower at the larger warehouses than the small ones. Occupational data show that the proportion of women and foreign-born people is significantly lower among online retail managers than among warehouse workers. Further nuances are provided by the qualitative insights from the five studied warehouses. Almost only women worked in the two smaller warehouses, which was explained by references to the nature of the work. At the larger, more gender-balanced warehouses, examples of segregation between employees of the same category were found, as was the importance of place for hierarchies between workers and managers. More so, the study makes evident that place matters also for the boundary making around and between online retail workplaces, especially in relation to racialization processes. While inequality, place and work in retail stores are about conditional access to employment, in online retail warehouses the matter seems to be more about how certain bodies’ lack of mobility and opportunities in the labor market at large left them “stuck” in online retailing.

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Hilmola, Olli-Pekka. "Warehousing in Finnish and Swedish Companies: State of Operating Environment During Period of 2006–2012." Transport and Telecommunication Journal 13, no. 4 (2012): 261–70. http://dx.doi.org/10.2478/v10244-012-0021-9.

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Despite all the efforts of Just in Time philosophy, companies are still required to run numerous warehouses to accomplish distribution management objectives, and match supply network to this activity. In this research is being reported state of the warehousing practices in the largest Finnish and Swedish companies relying on longitudinal data gained through five different surveys. Research findings show that together these two countries are still on the cost pressure with respect of transportation. Also companies in these two northern countries are still using mostly semi-trailers on their distribution transportation. However, some evidence is on place that containers are taking higher role. Interestingly, most of the warehouses of these two countries report to be located in the countries of the Baltic Sea Region, finding which is rather striking as we have given so much effort on economical integration of this region in the recent decades. Finnish companies seem to hold much larger interest on Central and Eastern European Countries warehousing. Size of warehouses is likely to increase a little bit, and units located in other continents are much smaller.

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Reima Kutty Krishnan, Elizabeth, and Siti Norida Wahab. "A Qualitative Case Study on the Adoption of Smart Warehouse Approaches in Malaysia." E3S Web of Conferences 136 (2019): 01039. http://dx.doi.org/10.1051/e3sconf/201913601039.

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This qualitative case study explores the factors that influence the adoption of smart warehouse in Malaysia. Purposive sampling is used to carry out this research by conducting interview discussion with several respondents. Lack of warehouses in Malaysia is that adopt smart warehouse and still on manual operation. In this study, a discussion report would be done relating to the TOE framework (technological, organizational and environmental) influences in adopting smart warehousing. The types of technologies being implemented in the warehouses in Malaysia are being evaluated and further discussed on the similarity of thoughts. The findings of this research show that most respondents agree that implementing smart warehouse approaches would bring relative advantage. Warehouses in Malaysia in terms of technology implementation are still at very surface and backwards. Top management and cost are two factors that would influence organization readiness towards smart warehousing, whereas external pressure, government support and geographical location would influence the adoption of smart warehousing. This research can be used as a reference for future researches on encouraging warehouses in Malaysia to adopt smart warehouse approaches.

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Rostek, Katarzyna. "Data Analytical Processing in Data Warehouses." Foundations of Management 2, no. 1 (2010): 99–116. http://dx.doi.org/10.2478/v10238-012-0023-x.

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Data Analytical Processing in Data Warehouses The article presents issues connected with processing information from data warehouses (the analytical enterprise databases) and two basic types of analytical data processing in data warehouse. The genesis, main definitions, scope of application and real examples from business implementations will be described for each type of analysis. There will be presented copyrighted method of knowledge discovering in databases, together with practical guidelines for its proper and effective use in the enterprise.

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Hazelrigs, Lauren, William B. Faulkner, Ronald E. Lacey, John Robinson, and Calvin B. Parnell Jr. "Improving Cotton Warehousing Efficiencies through Novel Bale Marketing Strategies: Aisle-Stacking and Block-Stacking." Journal of Cotton Science 21, no. 2 (2017): 167–74. http://dx.doi.org/10.56454/qvhs3806.

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The National Cotton Council’s Vision 21 Cotton Flow Study sought to improve the flow of cotton from the gin to the warehouse. The primary objective of the study was to identify cotton flow strategies, systems, and practices that the United States (U.S.) cotton industry can employ to lower costs or improve returns while meeting the demands of exporting cotton and simultaneously servicing the domestic market. The goal of this study was to evaluate two different warehouse methods using three different marketing techniques at different sized facilities and levels of inventory. Typical aisle and block-stacking cotton warehouses were modeled with discrete event simulations. Time and motion data were collected from multiple warehouses as the basis for the simulation models. The principal output was the total time required to assemble an 88-bale order. Implementation of a four-bale marketing plan or use of Cotton Incorporated’s MILLNet™ for Merchants software was evaluated against baseline marketing. In larger aisle-stacking warehouses, the use of MILLNet™ for Merchants software decreased the time required to assemble an 88-bale load of cotton for shipping; whereas, four-bale marketing did not reduce assembly times. In block-stacking warehouses, four-bale marketing and MILLNet™ for Merchants generated time savings for order assembly. Block-stacking in a cotton warehouse was the most efficient way to assemble and load one 88-bale order. The four-bale marketing method generated the shortest order assembly time in small warehouses; however, MILLNet™ for Merchant software provided shorter assembly times for medium to large warehouses. International shipments were the fastest to assemble and load regardless of the bale selection method.

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Patra, Soumendra Kumar, Tapan Kumar Lenka, and Er Purna Chandra Ratha. "A Time Dependent Order Level Inventory Model for Beta Deterioration in Two Warehouse Systems." International Journal of Operations Research and Information Systems 6, no. 2 (2015): 53–69. http://dx.doi.org/10.4018/ijoris.2015040104.

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An inventory problem for a deteriorating item having two separate warehouses is developed under time value of money, whereby one is an own warehouse (OW) of finite dimension(s) and the other is rented warehouse (RW) of infinite dimension(s). Deterioration rate of items in the two warehouses may be different, which is time dependent and deterioration is in the mean beta distribution form. In this study, shortages and complete backlogging have been considered as the other items, whereby the demand rate of items is linear with time in OW and the same is linear with price in case of RW. Also, the stocks of RW transported to OW in continuous release pattern.

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Zhang, Wenbin, and Yuejun Jin. "The two-stage location model for multi-construction period of material warehouses." PLOS ONE 20, no. 4 (2025): e0317027. https://doi.org/10.1371/journal.pone.0317027.

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This article proposes a two-stage location model to construct a unified construction plan for multi-construction period material warehouses in the distribution network. Initially, we propose a honeycomb grid partitioning method aimed at managing the time-scale of electric power material demand through effective grid administration. Subsequently, we develop an optimization model for the first stage, which identifies the threshold for the upper limit of material transportation time and establishes the construction objectives for material warehousing during each construction period. To address the challenge posed by the inconsistent locations of material warehouses across different construction periods, we formulate an optimization model for the second stage. Finally, based on the spatial distribution of power demand in Taizhou City’s distribution network, we devise a comprehensive construction plan for a material warehouse system that spans four construction periods. By adding nine material warehouse locations, we achieve a reduction of 57.14% in the maximum transportation time for electric power materials. The method proposed in this article provides a general solution for the long-term planning of persistent structures by converting long-term planning into construction goals across multiple stages.

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Yadav, Ajay Singh, Navin Ahlawat, and Sharat Sharma. "Hybrid Techniques of Genetic Algorithm for Inventory of Auto Industry Model for Deteriorating Ttems with Two Warehouses." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 58–65. http://dx.doi.org/10.31142/ijtsrd15790.

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Shahraki Moghaddam, Shabab, Ehsan Sadeh, and Zeinolabedin Amini Sabegh. "A Mathematical Model for the Relief Logistics in Humanitarian Supply Chain." International Journal of Innovation Management and Organizational Behavior 3, no. 5 (2023): 68–78. http://dx.doi.org/10.61838/kman.ijimob.3.5.9.

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Objective: The coordination of relief supply chain actions following a crisis is undeniable and necessitates proper management and appropriate resource allocation to affected areas, especially due to the increasing occurrence of natural disasters such as floods, storms, and destructive earthquakes. The aim of this study is to design an integrated humanitarian supply chain system, considering the relationships among various components of the rescue and relief supply chain. Methodology: This research innovates over previous studies by proposing a five-level model comprising suppliers, warehouses, distributors, affected areas, and shelters within the supply chain; it also includes the location of relief warehouses and support facilities with an integrated dynamic model. Two categories of decisions are considered: the first involves selecting locations for regional warehouses from candidate sites and the quantity of pre-stocked inventory in them, and the second involves designing the distribution network and relief items, determining the flow of goods within it. Findings: The first objective of this issue is to minimize the construction costs of regional warehouses in Tehran under various scenarios, and the second objective is to minimize the costs of supply, maintenance of goods in regional warehouses; minimize the costs of sending and maintaining goods in the central warehouse; minimize the costs related to sending goods to demand points, and minimize the costs related to leftover goods in each region at the end of each period. Conclusion: The results show that the designed model optimizes the logistics costs of relief and rescue.

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Huang, Yung-Fu, and Chih-Sung Lai . "Optimal Lot-Sizing Policy under Two Warehouses and Two-Level Delay Permitted Using Algebraic Method." Journal of Applied Sciences 6, no. 15 (2006): 3060–67. http://dx.doi.org/10.3923/jas.2006.3060.3067.

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Vats, Mukta, Rajeev Siwach, and A.B Chandramouli. "A Two Ware-houses Inventory Model with Different Deterioration rate under Learning Effect." International Journal of Science and Social Science Research 2, no. 4 (2025): 80–90. https://doi.org/10.5281/zenodo.14871904.

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This research paper a thorough investigation into the dynamics of inventory management within dual warehouse systems, focusing on the intricate interaction between linear and nonlinear deterioration rates. By examining various deterioration conditions and integrating considerations of carbon emissions, inflation, and dynamic demand dependencies on both price and time, a holistic understanding of inventory degradation processes is achieved. Through the utilization of mathematical modelling and simulation methodologies, the study explores the implications of different deterioration scenarios on inventory turnover and environmental sustainability. Additionally, it investigates the effects of carbon emissions and inflation on inventory management strategies, highlighting the necessity for adaptive approaches to mitigate adverse impacts. Moreover, by incorporating dynamic demand dependencies on price and time, the research sheds light on the complex interplay between pricing strategies, demand fluctuations, and inventory management decisions. The findings contribute to both theoretical advancements in inventory management and practical insights for optimizing operations within dual warehouse systems amidst evolving environmental and economic dynamics.

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Cravero Leal, Ania, and Samuel Sepúlveda Cuevas. "A chronological study of paradigms for data warehouse design." Ingeniería e Investigación 32, no. 2 (2012): 58–62. http://dx.doi.org/10.15446/ing.investig.v32n2.31941.

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Data warehouses must homogenise and integrate data from an organisation's areas to extract relevant knowledge for orientating decision-making. This is not an easy task, which is why several approaches have been developed which can be classified according to how information is obtained: supply-driven, demand and a hybrid of the first two. This study offers a conceptual framework and a chronological study of the approaches adopted according to the paradigm used, providing a comprehensive context for better understanding the current state of data warehouses and their evolution.

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K.V.S. Sarma and Prasuna. E. "An Economic Order Quantity Model With n-Levels of Storage." International Journal of Inventory Control and Management 02, no. 01 (2012): 127–41. http://dx.doi.org/10.58517/ijicm.2012.2102.

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This paper deals with a mathematical model to determine the Economic Order Quantity (EOQ) of a single item inventory system, when the Own Warehouse (OW) of the management has insufficient space. If the received stock Q exceeds the capacity of the OW, the management considers storing the stock in n Rented Warehouses each with finite capacity. Each Rented Warehouse (RW) is assumed to carry a higher holding cost than that of the OW. Considering all the n warehouses as n-storage points for the single item inventory, a two-phase mathematical model is developed to determine the EOQ. The principle of Shortest Processing Time (SPT) sequencing has been used in the first phase to find the optimal depletion sequence for the warehouses. The second phase deals with the building of cost function for the inventory cycle. The EOQ is determined and the functioning of the model is numerically illustrated.

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MALIK, A. K., SANJAY KUMAR, and SATISH KUMAR. "Two warehouses Inventory Model with Stock-dependent demand and Maximum life time." Journal of Ultra Scientist of Physical Sciences Section B 29, no. 10 (2017): 309–18. http://dx.doi.org/10.22147/jusps-b/291009.

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Maiti, Manas Kumar. "Fuzzy inventory model with two warehouses under possibility measure on fuzzy goal." European Journal of Operational Research 188, no. 3 (2008): 746–74. http://dx.doi.org/10.1016/j.ejor.2007.04.046.

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Ruvalcaba-Sandoval, David A., Elias Olivares-Benitez, Omar Rojas, and Guillermo Sosa-Gómez. "Matheuristics for the Design of a Multi-Step, Multi-Product Supply Chain with Multimodal Transport." Applied Sciences 11, no. 21 (2021): 10251. http://dx.doi.org/10.3390/app112110251.

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Supply-chain network design is a complex task because there are many decisions involved, and presently, global networks involve many actors and variables, for example, in the automotive, pharmaceutical, and electronics industries. This research addresses a supply-chain network design problem with four levels: suppliers, factories, warehouses, and customers. The problem considered decides on the number, locations, and capacities of factories and warehouses and the transportation between levels in the supply chain. The problem is modeled as a mixed-integer linear program. The main contribution of this work is the proposal of two matheuristic algorithms to solve the problem. Matheuristics are algorithms that combine exact methods and heuristics, attracting interest in the literature because of their fast execution and high-quality solutions. The matheuristics proposed to select the warehouses and their capacities following heuristic rules. Once the warehouses and their capacities are fixed, the algorithms solve reduced models using commercial optimization software. Medium and large instances were generated based on a procedure described in the literature. A comparison is made between the algorithms and the results obtained, solving the model with a time limit. The algorithms proposed are successful in obtaining better results for the largest instances in shorter execution times.

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Njoroge, Anastasia, Hippolyte Affognon, Uwe Richter, et al. "Acoustic, Pitfall Trap, and Visual Surveys of Stored Product Insect Pests in Kenyan Warehouses." Insects 10, no. 4 (2019): 105. http://dx.doi.org/10.3390/insects10040105.

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Grain production is an important component of food security in Kenya but due to environmental conditions that favor rapid growth of insect populations, farmers and other agricultural stakeholders face ongoing and novel challenges from crop and stored product pest insects. To assist development of methods to reduce economic losses from stored product insect pests in Kenya, acoustic, visual, and pitfall trap surveys were conducted in five grain storage warehouses. Two commercially available acoustic systems successfully detected the pests of greatest economic importance, Sitophilus zeamais (Motschulsky) and Prostephanus truncatus (Horn). Other insects of lesser economic importance also were observed in the visual surveys, including Sitotroga cerealella (Olivier) (Lepidoptera: Gelechiidae), and Tribolium castaneum (Herbst). This study demonstrated that the use of acoustic technology with visual surveys and pitfall traps can help managers to identify and target infestations within their warehouses, enabling them to reduce postharvest losses. With most warehouses being located in relatively noisy urban or peri-urban areas, background noise considerations are being incorporated into the design of future acoustic detectors for stored pest infestations. Kenya must import grain yearly to meet consumption needs; however, if the current yearly postharvest losses of 20–30% in warehouses decreased, import costs could be reduced considerably.

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Kátai-Urbán, Maxim, Tibor Bíró, Lajos Kátai-Urbán, Ferenc Varga, and Zsolt Cimer. "Identification Methodology for Chemical Warehouses Dealing with Flammable Substances Capable of Causing Firewater Pollution." Fire 6, no. 9 (2023): 345. http://dx.doi.org/10.3390/fire6090345.

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Major accidents involving flammable substances can lead to significant environmental damage. The operators of chemical warehouses—in order to prevent and mitigate harmful environmental impacts—based on fire prevention strategies should apply “firewater pollution prevention” (FPP) measures. The identification of affected warehouses already in operation is an important law enforcement task. Therefore, the authors—based on the assessment of firewater run-off scenarios—propose a simple and easy-to-use dangerous establishment identification procedure and methodology based on event tree analysis and indexing preliminary risk analysis approaches. Two independent expert groups validated—in the case of 10 facilities—the index components of the approach. The testing of the applicability of the approach took place in parallel with the analyses of the Hungarian operator’s practice. The research results—covering the inspection of 24 facilities—can assist the operators in the effective and unified implementation of FPP measures. In the case of 14 facilities, it was necessary to introduce FPP measures, which highlight the need to improve the law enforcement compliance of identified operators. The investigation results can also contribute to increases in the fire and environmental safety performance of chemical warehouses, which ensures a higher level of environmental protection and people’s health near chemical warehouses.

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Nacar, Can. "LABOR ACTIVISM AND THE STATE IN THE OTTOMAN TOBACCO INDUSTRY." International Journal of Middle East Studies 46, no. 3 (2014): 533–51. http://dx.doi.org/10.1017/s0020743814000580.

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AbstractIn the late 19th and early 20th century, tobacco exports from the Ottoman Empire rapidly increased. Thousands of workers began to earn their livelihoods in warehouses, sorting and baling tobacco leaves according to their qualities. Ottoman towns where tobacco warehouses were concentrated soon became the sites of frequent labor protests. This article analyzes strikes that broke out in two such towns, İskeçe (Xanthi) and Kavala, in 1904 and 1905. It underlines the active role of the Ottoman government in the settlement of these strikes. It also shows that mobilized tobacco workers devised effective protest tactics and often secured a say in key decisions, such as when and under what conditions the warehouses operated. However, in both towns, labor activism was characterized by fragmentation as well as unity. The workers who took to the streets did not equally share the burdens and benefits of their collective actions. That inequality, the article argues, was rooted in gendered power relations, intercommunal rivalries, and other social tensions among the workers.

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Sharma, Sanjay, Anand Tyagi, BB Verma, and Sachin Kumar. "Effect of Rented Warehouses for Deteriorating Items Under Stock Dependent Demand, Partial Backlogging." International Journal of Computational and Applied Mathematics & Computer Science 3 (November 6, 2023): 80–97. http://dx.doi.org/10.37394/232028.2023.3.10.

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In the area of two warehouse-based inventory models, various studies have been carried out, and the authors presented their models under different parameters and environmental conditions. In most of the study, it can be seen that one warehouse was assumed to be its own warehouse and other was assumed to be rented. Due to different facilities and conditions, both warehouses have different rates of demand and deterioration, along with different storage capacities. A study has already been done by considering both warehouses as ranted. It was also assumed in the study that both warehouses had the same capacity. In addition, it has also been assumed that the items in the second ranted warehouse start decaying after some time, whereas the items in the first warehouse were used first to meet the demand of the customers. After critically reviewing the model published on two ranted warehouses, it can be observed that the storage techniques of items need to be further explored, as the model used the items from the first warehouse to satisfy the demand of the customers, while the items whose deterioration was about to start were stored in the second warehouse. This concept of storage has to change, as items in the second warehouse totally deteriorate until their turn comes up. Keeping this fact in mind, we have developed an inventory model based on two different warehouses for deteriorated items whose rate of deterioration is not so high, but after a very short period of time, these items start decaying. According to the current model, the demand of the customers has been satisfied in the first warehouse; to avoid deterioration in the second warehouse, as a result, transfer such items whose deterioration is about to start from the second warehouse to the first warehouse so that deterioration of the items must be minimize. In the current model, it has been assumed both warehouses are rented, which is suitable for the manufacturer whose product demand is very high and space is not enough. It is obvious that the demand for the items in the stock increases due to the stock reaching a certain level. In the model, the demand for the first warehouse is assumed to be stock-dependent. When, there is extra stock, the second warehouse is used for the products, and author also assumed that the demand has become constant. The model is also instigated under sensitivity analysis, and a brief numerical example with real data has been illustrated.

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Łaborewicz, Ivo. "Źródła do dziejów polskiej archiwistyki. Interwencja w sprawie skarbów z zamku Czocha zdeponowanych w Archiwum Miejskim w Jeleniej Górze (1948-1949)." Archiwista Polski 27, no. 1 (102) (2024): 57–68. http://dx.doi.org/10.4467/14259893arpl.23.004.19774.

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In the years 1947-1949, in the warehouses of the Municipal Archives in Jelenia Góra, the local District Court deposited and sealed works of art from the Czocha Castle, confiscated from looters. This paralyzed some of the Archive’s work and also threatened the security of the archives locked together with the museum items. Efforts to recover these warehouses continued for over two years, supported by the State Archives in Wrocław. The documents presented in the article show the joint activities of the state and municipal archives undertaken to preserve the archival heritage of Lower Silesia and the methods of their mutual communication.

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Milewski, Dariusz. "The Combined Decision Problem: “Pull” vs. “Push” and the Degree of Centralization of Warehousing in the Field of Physical Distribution with a Special Focus on the Polish Market." Applied Sciences 15, no. 7 (2025): 3970. https://doi.org/10.3390/app15073970.

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This article concerns the efficiency of the distribution system with different strategies—“Pull” or “Push”—and different sizes of distribution network in terms of when products produced by the manufacturing plant are sent to distribution warehouses. The article hypothesized that the choice of how to replenish stocks in these warehouses—“Pull” or “Push”—and the choice of the degree of centralization of the distribution network (number of warehouses) were two decision problems that should be considered together. This hypothesis was confirmed. A simulation model was developed to conduct simulations for different scenarios (different demand distributions—Gaussian or Gamma different demand fluctuations and the timeliness of replenishing inventories in warehouses). With more expensive goods and greater sales fluctuations, there was a certain tendency towards centralizing storage and using the Pull strategy. The choice of a given strategy had a significant impact on the costs of logistics processes and on the profitability of enterprises. The cost savings ranged from 17% to 54%. The average share of distribution costs in the sales value was 6%. In some cases, it was over 10% (the level of profitability of industrial enterprises In Poland). Choosing the right strategy could, in some cases, change profits by 20%. In most cases, the most cost-effective strategy was a flexible Pull system and centralized storage, which is consistent with real-life business cases.

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Researcher. "OPTIMIZING FUNNEL ANALYSIS IN MODERN DATA WAREHOUSES." International Journal of Computer Engineering and Technology (IJCET) 15, no. 4 (2024): 516–26. https://doi.org/10.5281/zenodo.13310800.

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This article explores the implementation of funnel analysis in modern data warehouses, focusing on its importance for product managers in understanding and optimizing user journeys. It delves into the mechanics of funnel analysis, discussing two primary approaches: the Join Sequence and Stacked Window Functions methods. The article examines various query optimization techniques modern data warehouses employ, including common subexpression elimination, aggregate pushdown, and efficient handling of window functions. Additionally, it addresses performance considerations for both approaches, highlighting the benefits of pre-computed join indices and table clustering. Throughout, the article emphasizes the critical role of funnel analysis in driving data-driven decision-making and product success in today's competitive business landscape.

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Khalilzadeh, Mohammad, Jurgita Antucheviciene, and Darko Božanić. "A Bi-Objective Model for the Multi-Period Inventory-Based Reverse Logistics Network: A Case Study from an Automobile Component Distribution Network." Systems 12, no. 8 (2024): 299. http://dx.doi.org/10.3390/systems12080299.

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Supply chain management and distribution network design has attracted the attention of many researchers in recent years. The timely satisfaction of customer demands leads to reducing costs, improving service levels, and increasing customer satisfaction. For this purpose, in this research, the mathematical programming models for a two-level distribution network including central warehouses, regional warehouses, and customers are designed so that several products with definite demands in multiple periods are distributed from central warehouses to customers. In this problem, two objective functions are considered. The first objective function seeks to minimize the costs of establishment, transportation, inventory, and shortage, and the second objective function attempts to maximize the satisfaction level corresponding with the supply rate of different goods for numerous customers. The presented models include the basic model, inventory-based model, multi-period inventory-based model, and multi-period inventory-based reverse logistics model. The validation and applicability of the proposed models were demonstrated by implementation in a real case study of the automobile industry. The LINGO software 20.0 was used to solve the models. The results show that incorporating the inventory management policies into the basic model and converting from a single-period to a multi-period reverse logistics model will significantly increase company profitability and customer satisfaction.

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Nguyen, Tri Dung, Duy Phuong Dinh, and Trung Hao Tran. "Kinematic Modeling and Stable Control Law Designing for Four Mecanum Wheeled Mobile Robot Platform Based on Lyapunov Stability Criterion." Journal of Technical Education Science, no. 79 (October 28, 2023): 65–73. http://dx.doi.org/10.54644/jte.79.2023.1437.

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Transportation in warehouses and production workshops is a matter of urgency today. Most warehouses arrange routes for circulation along the shelves, transportation vehicles will move on this road to perform the task of exporting or importing goods. Routes will be arranged to move in one direction because vehicles do not have enough space to turn around in cramped warehouses. This causes many difficulties in planning the trajectory for transportation vehicles, especially self-propelled vehicles. In order to have an appropriate transportation plan, it is necessary to solve many problems, including: reasonable transport equipment, sufficient number of devices, optimal route layout, algorithm of operation center for Positioning and Navigation of transportation equipment,... This study proposes a method for transportation using an omnidirectional automated guided vehicle (AGV). The AGV's omnidirectional mobility is supported by the mecanum wheels. This study consists of two parts, the first part focuses on kinematic modeling for mecanum wheels and extends to robot’s platform using four mecanum wheels. Part two proposes a diagram to calculate the errors of the robot compared to a reference tracking line, design a control law based on the Lyapunov stability criterion. The stability of the control law is verified and confirmed by simulation on MATLAB environment.

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Tarczyński, Grzegorz. "Model for Order-Batching with Congestion Consideration." Przegląd Statystyczny 64, no. 2 (2017): 193–212. http://dx.doi.org/10.5604/01.3001.0014.0801.

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The paper presents the model for optimal number of merged orders that will reduce the average order-picking time. Two order batching policies were described: pick-then-sort and sort-while-pick. One-block rectangular warehouses were considered. The author studied two routing heuristics: s-shape and return for which the equations for average order-picking time can be designated based on probability distributions: binomial distribution and uniform distribution. The research takes into account the possible congestion problem. Based on simulations the analytical form of blocking time for pickers was proposed. The study shows that the advantages of each additional merged order is getting smaller. Using ABC classification for storage location assignment in warehouses with low number of aisles and large pick lists can extend the average order-picking time.

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Kovačević, Vlado, Ljiljana Rajnović, and Predrag Vuković. "Warehouse receipt finance in the agricultural sectors: Lessons learned in Serbia." Ekonomika 69, no. 1 (2023): 59–68. http://dx.doi.org/10.5937/ekonomika2301059k.

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Aim of this paper is to analyse the role of warehouse receipts in the agribusiness sector, as well as prerequisites for successful public warehouses system. Warehouse receipt emerge as a promising financial instrument for farmers and other owners of agricultural products to provide loan against warehouse receipts. Warehouse receipts also offer alternative investment opportunities for banks by creating a new asset class. The paper analyses the experiences of the Serbia, which introduced the system of public warehouses in 2009. Applied research methodology includes literature review, comparation analyses and Indemnity fund' data analyses. According to the results of this paper, Serbian legal framework can be good example for other countries aiming to establish public warehouses system as a system consisting on all necessary prerequisite to establidh successful public warehouse system. After positive experiences in the initial years, the development of the public warehouse system in Serbia came to a standstill in 2015., when two frauds in the public warehouse system occurred, which led to a loss of confidence in public. An important lesson learned in Serbia is that in addition to complete legislation based on the experience of successful public warehouse systems, it is necessary to implement legal provisions in practice. According to the results of the paper, the main cause of the crash of public warehouses in Serbia is despite the legal provision on the establishment of a special inspection for public warehouses, this most important link has never been established in practice. Lessons learned in Serbia can be a useful experience for other countries, j the process of establishing this important system for agribusiness sector. This paper provides first comprehensive analyses of the public warehouse system in the Serbia.

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Rao, Subir, Faizan Khan, and Virendra M. Wanage. "Build Next-Gen Warehouse: Boost Efficiency & Customer Satisfaction with Automated Order Picking." Management Practice Insights 2, no. 2 (2024): 69–74. http://dx.doi.org/10.59571/mpi.v2i2.7.

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Online shopping demand has outpaced the development of supporting infrastructure and resources. This might seem to be a good problem for e-tailers and warehouses. However, if this demand is not fulfilled efficiently, it can have costly consequences, even for the biggest and best brands. Order delays and errors mean customer satisfaction suffers, and costs inflate – a combination which squeezes an organization’s bottom line. This increasing pressure on efficient order fulfillment has led to advances in warehouse design and automation. However, new research suggests that warehousing efficiencies can be increased a further 20% or more by using an algorithm that combines two datasets – demand for a product, and its affinity to be ordered with other products. This research, by Masoud Mirzaei, Nima Zaerpour and Rene de Koster, found these gains in warehouses that use automated order picking – where robots bring entire racks with products to human operatives.1 We believe that the core insight can change the game for all warehouses – regardless of the degree of automation – by reducing order-picking time, enabling faster delivery times and improving space utilization

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Meno, Laura, Olga Escuredo, Maria Shantal Rodríguez-Flores, and Maria Carmen Seijo. "Prevalence of airborne fungal spores in two potato warehouses with different storage conditions." Aerobiologia 37, no. 2 (2021): 309–20. http://dx.doi.org/10.1007/s10453-021-09691-x.

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., Aastha, Sarla Pareek, Leopoldo Eduardo Cárdenas-Barrón, and Mandeep Mittal. "Impact of Imperfect Quality Items on Inventory Management for Two Warehouses with Shortages." International Journal of Mathematical, Engineering and Management Sciences 5, no. 5 (2020): 869–85. http://dx.doi.org/10.33889/ijmems.2020.5.5.067.

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Generally, the majority of the inventory models work on the concept that overall units produced must be perfect in terms of quality and that the storage capacity of the warehouse is unlimited. In fact, under realistic conditions, it is not possible to manufacture products with complete perfection. Furthermore, there are always some limits associated with storage capacity of the warehouse. This paper formulates an inventory model that considers the impact of imperfect quality items and shortages. The cost of storage in rented warehouse (RW) is greater than own warehouse (OW) due to fact there are better preservation facilities in RW. This work considers that defective items are completely withdrawn after the inspection process. The purpose of this inventory model is to establish the optimal order quantity and backorder size that maximize the total profit. Some numerical examples are solved, and a sensitivity analysis is included.

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Danjuma, T., and Y. Abubakar. "Optimization Problem for Deteriorating Items Model with Stock Dependent Demand and Controllable Deterioration Under Two Warehouse Storage Facility." International Journal of Science for Global Sustainability 10, no. 2 (2024): 50–56. http://dx.doi.org/10.57233/ijsgs.v10i2.642.

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In any inventory and production management, deterioration of physical goods is one of the important factors put into consideration. Therefore, it is very important to control and maintain inventories for decaying items. We considered inventory problem for deteriorating items where demand is stock dependent and deterioration is controllable under two warehouse storage facility, one of the warehouses is owned and the other one is rented. Goods are displayed in both warehouses but demands are met from the rented warehouse until the level of goods get to zero then demands are met from owned warehouse. We derived the optimal inventory management policies for the cases where; the demand is constant function, there is no investment in technology and there is no investment in technology and demand is also constant.

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Cardona, Luis F., and Kevin R. Gue. "Layouts of Unit-Load Warehouses with Multiple Slot Heights." Transportation Science 54, no. 5 (2020): 1332–50. http://dx.doi.org/10.1287/trsc.2020.0993.

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We describe a method to generate layouts for unit-load warehouses that use multiple slot heights as a way to maximize warehouse space utilization. The problem has two parts: slots must be arranged into rack-bays, and rack-bays must be arranged into a layout. We describe two methods for the first subproblem, depending on whether the warehouse has directed picking and put-away. For the second, we describe a simulation model and a greedy procedure based on the duration-of-stay storage policy. We observe significant benefits of using multiple slot heights in unit-load warehouses with respect to footprint, expected travel time, and cost of racking. For a typical warehouse, we expect space savings between 25% and 35%, depending on the number of slot types, and savings of between 15% and 25% in annual operating costs.

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Journal articles on the topic 'Two-warehouses'

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