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Relevant bibliographies by topics / Distribution Requirement Planning

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Academic literature on the topic 'Distribution Requirement Planning'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

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Journal articles on the topic "Distribution Requirement Planning"

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Garside, Annisa Kesy. "Perancangan Sistem Informasi Manajemen untuk DistribuTion Requirement Planning." Jurnal Teknik Industri 2, no. 2 (2010): 128. http://dx.doi.org/10.22219/jtiumm.vol2.no2.128-137.

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A cigaretec ompanyP, T. DjagungP adio fteng ot fouble or problemin distributionth eirproduct especially in acuracy of product delivery that cause lost sale. One of method that can beusedt o makea good deliverys cheduleis usingD istributionR equiremenPt lanning.lt makest heinformation of delivery schedule from factory to distribution or from distributor to company canbe fastly done and have high accuracy. It means that the company need a InformationManagement System ( SIM ).This research'sa ims in to designS IM and DRP in PT. DjagungP adi using thesemethod( systemt)h ef actoryc ans aveh oldingc ostl ack of productc osto f DjagungP adip roducta sDjagungP adi" hijau" andD jagungP adi" kuning" from Rp 1.782.900,0t0o Rp 867.300,00fo r amontha ndn o morel acko f productin distributions ystem.

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Andary, Asvaroza Munita. "Application of Distribution Requirement Planning (DRP) in Motorcycle Tire Industry." Journal of Scientific and Engineering Research 8, no. 2 (2021): 223–28. https://doi.org/10.5281/zenodo.10576025.

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<strong>Abstract</strong> In a motorcycle tire manufacturing company, where the products are distributed through a 3 (three) echelon of supply chain consist of a Manufacture, several Depots and a number of Retailers, there are problems in managing the delivery schedule and allocating the number of goods to be delivered. The large number of depots & retailers to be served, ordering pattern which did not fulfill the demand and no planning on procurement process are problems that often occurs in the distribution process. To solve this problem, the company needs a well-patterned distribution system. Distribution Requirement Planning (DRP) is one of the method to provide the planning of the product distribution, in terms of quantity, time, and costs which obtained from the selection of the lotting method that provides the smallest total cost. By applying this DRP method, the company can have better planning in distributing their products and controlling costs for their operations.

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Hidayat, Agung Prayudha, Annisa Kartinawati, Sesar Husen Santosa, et al. "Distribution requirement planning for feed based on SMADISPRO software development." E3S Web of Conferences 577 (2024): 03001. http://dx.doi.org/10.1051/e3sconf/202457703001.

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Feed has an important role in livestock productivity. Distribution planning is a process that can ensure that supply will balance demand. The method used in determining distribution needs is Distribution Requirement Planning (DRP). The results of this study show that the ideal amount of feed requirements is 4,193 kg. This calculation was developed through software called SMADISPRO to make it easier for companies to determine the amount of distribution needs automatically.

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Kisanjani, Alex, Hendang Sri Wahyuni, Marulan Andivas, and Misrianto Misrianto. "IMPLEMENTASI METODE DISTRIBUTION REQUIREMENT PLANNING UNTUK MEMINIMALKAN BIAYA DISTRIBUSI DI PT DBM CABANG PURWOKERTO." JURNAL PERANGKAT LUNAK 4, no. 3 (2022): 182–89. http://dx.doi.org/10.32520/jupel.v4i3.2481.

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Distribution is one of the most important things to increase customer satisfaction. However, distribution is often a problem for companies. The wider the marketing area owned by the company, the more complex the problems that arise in the distribution schedule. PT DBM's Purwokerto branch also faced a similar situation, where distribution activities were not well coordinated, resulting in lost sales, accumulation of goods in each warehouse and swelling storage costs. Therefore, an appropriate method is needed to schedule distribution activities to each warehouse, so as to reduce distribution costs. The method used in this research is Distribution Requirement Planning. This method is effective for reducing distribution costs. The results showed that by using the Distribution Requirement Planning method, distribution costs were lower than the company's distribution method. Distribution costs using the company distribution method amounted to Rp. 1,371,391, while distribution costs using the Distribution Requirements Planning method amounted to Rp. 1,040,501, resulting in a cost reduction of 24.13%.

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Rizkya, I., K. Syahputri, R. M. Sari, I. Siregar, M. M. Tambunan, and Anizar. "DRP: Joint Requirement Planning in Distribution Centre and Manufacturing." IOP Conference Series: Materials Science and Engineering 434 (December 3, 2018): 012243. http://dx.doi.org/10.1088/1757-899x/434/1/012243.

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Tejakusuma, Trio Yonathan, Atika Khoirun Nisa, and Vindy Fitriana Martanti. "Distribution Design of Bottled Mineral Water ‘Airku’ with Distribution Requirement Planning Method (DRP)." Journal of Industrial Engineering and Halal Industries 3, no. 2 (2023): 120–32. http://dx.doi.org/10.14421/jiehis.3557.

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PDAM Tirta Binangun Kulon Progo is a regional manufacturing company that produce gallon, cup and bottle packing mineral drinking water branded AirKu. The company use multi-echelon distribution network for the distribution system. Common problem that encountered by the company is insufficient or exceeded amount of product as a result of fluctuating demand from Agentt, furthermore the Agentt often find it hard to estimate the exact time for product to arrived. PDAM Tirta Binangun need a reliable model of planning and inventory system, and the method that can be used on their multi-echelon network distribution system is Distribution Requirement Planning (DRP). Distribution Requirement Planning is used to determine distribution activity that depend upon safety stock, lead time, inventory cost, order cost, and demand’s forecast. The model is designed based on lot size that have the optimal cost to determine the gross requirement total, project on hand, net requirement, planned order receipt, planed order release and distribution cost. According to company’s document, interview, and calculation the proper lot is Wagner Within Algorithm, distribution cost paid by Agentt Aneka Usaha is Rp 1.768.076 for AirKu cup, Rp 781.388 for bottle AirKu, and Rp 174.275 for AirKu gallon. Distribution cost paid by Agentt Post Office is Rp 881.630 for AirKu cup, Rp 300.613 for bottle AirKu, and Rp 228.375 for AirKu gallon. Distribution cost paid by Agentt Umar is Rp 1.766. for AirKu cup, Rp 579.325 for bottle AirKu, and Rp 454.256 for AirKu gallon. Distribution cost paid by Agentt Joko Sendang is Rp 1.903.623 for AirKu cup, Rp 656.506 for bottle AirKu, and Rp 189.450 for AirKu gallon.

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Febrianto, Eko, Zeny Fatimah Hunusalela, and Aliffia Teja Prasasty. "PENERAPAN METODE DISTRIBUTION REQUIREMENT PLANNING UNTUK MEMINIMASI BIAYA DISTRIBUSI PT SEKELUARGA." JURNAL REKAYASA SISTEM INDUSTRI 6, no. 1 (2020): 13. http://dx.doi.org/10.33884/jrsi.v6i1.2016.

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Along with increasingly intense competition in any industry or business sector. Demand companies to use methods in order to win the competition. One of them is by doing fast distribution. PT Sekeluarga is one of the companies that distribution of LPG. PT Sekeluarga still has problems such as the inability to distribute goods according to demand, causing a break in the distribution chain and causing scarcity of LPG that occurs at the lowest distribution level or the community. The study was conducted using the Distribution Requirement Planning (DRP) method in addition to that there are also Lot size calculations with Fixed Order Quantity (FOQ), safety stock calculations, and forecasting. The Total Cost (TC) using the company method is Rp. 14,563,117.00. while the Total Cost (TC) using the Distribution Requirement Planning (DRP) method is Rp. 11,676,354.17. From the results of the Total Cost comparison it is found that the Total Cost with the Distribution Requirement Planning method is cheaper when compared to the company method. And by using the Distribution Requirement Planning method also obtained an efficiency of 19.82%.

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Devana, Marcia, and Nunung Nurhasanah. "Perancangan Distribusi Produk Tepung Bumbu PT.SI Dengan Metode Distribution Requirement Planning." JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 6, no. 1 (2021): 1. http://dx.doi.org/10.36722/sst.v6i1.451.

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<div class="WordSection1"><p><strong>PT. SI is an FMCG (Fast Moving Consumer Goods) of seasoning and foods corporate in Indonesia. PT. SI’s products such as MNG (Mono Natrium Glutamate), Seasoning Flour (SF), a range of condiments, coconut milk, and instant seasoning. PT SI has SF product’s selling data from 2017 until 2020. However, that data yet to be used optimally. That data could be processed further for the organization’s advantage. For example, to knowledge the trend that’s happening, and, for predicting sales value with doing some forecasting and designing DRP. Based on the calculation of the forecasting, we’re obtained the best results using Double Exponential Smoothing by Brown, whereas Mean Absolute Percentage Error’s value is the smallest between the other methods. DRP’s methods make scheduling for the demand of products for determining times and the amounts that needed, and determining plans for arriving products to anticipates sales. With the scheduling, therefore, the distributions can go smoothly and meet the needs of every distribution center. For acknowledging the amounts of trucks that we use, the sums of PORelease is divided with the trucks’ capacities which are 18 tonnages for one delivery, therefore, the delivery costs that we got are multiplied by the transport’s cost for every destination. For distribution costs, company costs are as much as Rp. 20,831,275,897 whereas with DRP method acquired the value for Rp. 17,611,094,522 margins 15,45% from company cost.</strong></p><p><strong><em>Keywords – </em></strong><em>Distribution Requirement Planning, Forecasting, Distribution cost.</em></p></div>

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Aulia, Maya Asyifa, Lintang Sari Fajhriana, Faizal Aziz, and Mochammad Fauzi. "PERENCANAAN DISTRIBUSI PRODUK GAS PT.REBBAK TROLIH LESTARI MENGGUNAKAN METODE DISTRIBUTION REQUIREMENT PLANNING (DRP)." Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika 2, no. 1 (2022): 1–14. http://dx.doi.org/10.46306/bay.v2i1.12.

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PT. Rebbak Trolih Lestari is a company engaged in Elpiji Gas Distribution from PT. Pertamina Indonesia. The company has one warehouse hoarding elpiji gas cylinders and has a problem of lack of supplies that cause unmet demand. PT. Rebbak Trolih Lestari does not have good distribution planning. With this problem, research was conducted using the Distribution Requirement Planning (DRP) method. Distribution Requirement Planning (DRP) is a method of handling procurement in a distribution network. The purpose of this study is to distribute good activities so that success in meeting customer demand will be more optimal, improved sales performance in fulfilling orders on time and the right amount of inventory

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Nugroho, Mulyanto, Mario Sarisky Dwi Ellianto, and Yusuf Eko Nurcahyo. "PLANNING AND IMPLEMENTATION ENTERPRISE RESOURCE PLANNING MODULE DISTRIBUTION MANAGEMENT USING THE METHODS OF DISTRIBUTION REQUIREMENT PLANNING IN MSMES UD ADHI TEKNIK." International Review of Management and Marketing 9, no. 6 (2019): 179–84. http://dx.doi.org/10.32479/irmm.8092.

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Dissertations / Theses on the topic "Distribution Requirement Planning"

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Taylor, Kevin. "Data requirements for the establishment of protected area networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0031/MQ64464.pdf.

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Hurme, E. (Eija). "Ecological knowledge towards sustainable forest management:habitat requirements of the Siberian flying squirrel in Finland." Doctoral thesis, University of Oulu, 2008. http://urn.fi/urn:isbn:9789514289392.

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Abstract Maintaining biodiversity in boreal forest landscapes in conjunction with forestry is a challenging task. This requires ecological understanding that is based on empirical research. In this thesis, I examined spatial and temporal occupancy patterns as well as predictability of the occurrence of the Siberian flying squirrel (Pteromys volans L.) in Finland. I used thematic maps which matched habitat requirements of the flying squirrel in forested landscapes and data on species presence and absence, which were gathered in suitable forest habitats. The results of this thesis provide applications for landscape management. First, the preferred habitat characteristics of the flying squirrel were linked to available forest data. In addition, some predictive habitat models could be used to estimate the distribution of the flying squirrel within a region. Second, based on a five year study the forests were classified as continuously occupied, continuously unoccupied and variable-occupancy patches. The dynamic occupancy pattern emphasizes the need for repeated surveys to also locate the seldom-used suitable habitats in a landscape. Third, a comparison of simulated future scenarios in long-term forest planning suggested that flying squirrel habitat might be maintained without considerable loss of timber in a landscape. Thus, a combination of ecological and economic goals in forestry planning is an encouraging alternative. Fourth, there were more polypore species in forests occupied by the flying squirrel. This suggests that conservation of the flying squirrel habitats would protect other naturally co-occurring species, and thus the flying squirrel could be assigned as an umbrella species in mature spruce-dominated forests. Based on these findings, I suggest that the flying squirrel could be used as one of the target species for forest management in boreal forest landscapes. Further research challenges are related to the examination of habitat thresholds and to the projection of future scenarios where ecological, economic and social aspects are combined to assist in complex decision making processes.

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Nordeman, Niklas, and Malin Sundbäck. "An analysis on the benefits of information sharing in multi-echelon inventory control models." Thesis, Linköpings universitet, Logistik- och kvalitetsutveckling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138658.

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With growing markets and customers being geographically spread out, more pressure is put on a company’s logistics processes and their inventory structures are becoming more complex. This puts more pressure on the inventory control solution provided by a company like IFS, that supports their customers with inventory control through the Inventory Planning and Replenishment module in IFS Applications. As their customers’ supply chains grow larger, their inventory structures become more complex the next step is to find a solution for the IPR module more suitable in a called multi-echelon structure, i.e. several tiers of stock locations, such as local, regional and central warehouses. The purpose of this study is to compare a reorder point model with a solution suitable in a multi-echelon setting and investigate how they are able to manage uncertainties with service level targets. A literature study was performed, to find previous research on inventory control in multi-echelon inventory systems. In the literature study, the importance of coordination and information sharing between the echelons was emphasized and used as a focus when finding a suitable multi-echelon model. To answer the purpose a theoretical model was formulated from the findings in previous research, with a replenishment method suitable in a multi-echelon environment. The inventory control models also included lot sizing method and a safety mechanism, where the difference between the models were their respective replenishment policy. The theoretical model was based on the replenishment method Distribution Requirements Planning (DRP), as it enables information sharing, coordination and synchronization of the supply chain, while the other inventory control model uses the Reorder Point method (ROP). As information sharing was emphasized in previous research on multi-echelon systems, and the main difference between the two inventory control models is the information sharing in the DRP model, the important question to be answered with the comparison is; what effects and benefits can be achieved through information sharing in a multi-echelon inventory system? The two inventory control models were then simulated in Excel and exposed to even demand and seasonal variations in an inventory structure with three echelons and four sites, see figure below. When analyzing the results three evaluation criteria were used; difference in service levels, average inventory levels and if there were signs of overstocking in the regional and central warehouse, i.e. if the system was exposed to the bullwhip effect. The analysis was carried out based on the criteria above and divided into three sections. First, differences between the models for even demand were investigated. The same procedure followed for seasonal demand, identifying differences and what caused them. Findings were then summed up at the end of the chapter. For even demand, differences were small and sharing information does not give large benefits. Under seasonal demand though, sharing information proved to be very beneficial, reducing average inventory held in the system by 60%, compared to not sharing information. This because sharing information together with synchronizing eliminates the bullwhip effect. By testing different standard deviations, changing lead times and order quantities, using forecast or being blind to forecast, the robustness of the conclusions drawn from the analysis was put to the test. Carrying out a sensitivity analysis on the models served two purposes. First, finding more evidence promoting the benefits of synchronizing the supply chain and how important it is that the shared information is correct, otherwise the benefits are reduced. The second purpose was to validate that the models performed as expected when changing input data. The conclusions were the following: Information sharing enables synchronization of the supply chain Synchronization allows for reaching higher service levels with lower inventory levels Findings suggest that by sharing information, which must be the first step, synchronizing the inventory system is possible. It is the synchronization that creates the real benefits, such as higher service levels and lower inventory levels. However, the quality and accuracy of the shared information was found to play an important role. Sharing inaccurate or wrong information increase the risk of the system starting to suffer from the bullwhip effect, resulting in higher inventory levels and lower service levels.

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Chen, Chia-hui, and 陳佳慧. "Multi-Echelon Distribution Model Based Distribution Requirements Planning(DRP)." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/07844861977969386167.

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碩士<br>大葉工學院<br>工業工程研究所<br>84<br>Due to the fact that distribution cost consists a very high percentage of the product price. Distribution relevant functions scatteres around, thus causes the conflicting and inefficiency between departments of the enterprise. The primary goal of our government nowadays is to establish Taiwan as an "Asian -Pacific Operation Center". To achieve this goal,the importance of an efficient distribution system that can have a goood control over the cost would never be overemphasized. The tradition distribution inventory management system adopted the " reoeder point" concept. This, however, did not solve the distribution pro- blem, partly because that it was assumed that each component of the distri- bution osystem operates independently. As the MRP I/II(Material Require- ments/ Resource Planning) have been implemented successfully, similar con- cept is used, and DRP I/II( Distribution Requirements/Resource Planning) hence become popular gradually in the logistics enterprise. In this research, the economics trade-off relationship between inventory holding costs and transportation costs is analyzed and nonlinear mixed integer program is developed for solving the multi- echelon, multi-sourcing multi-commodity inventory control problem that takes the transportation costs into account. The optimum solution obtained is then converted into a new DRP table. The cost savings are then computed. Sensitivity Analysis is implemented at the last to see which planning parameters should receive higher attention. This brings very important message to distribution managers. It is hoped that this new distribution invventory model not only provide a conceptual distribution structure, but also an approach that results the minimum total operatｑ１i以提供決策者 on cost.

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Shih-Ming, You, and 游世民. "A Distribution Management Model Integrating Distribution Requirements Planning & Vehicle Routin." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/87015901746676862236.

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碩士<br>大葉大學<br>工業工程研究所<br>86<br>There are mainly three levels in logistic systems, i.e., plant, distribution center, and retailer, respectively. Distribution Requirements/Resource Planning (DRP I/II), adopting the basic concept from MRP, integrates each and every function of the entire logistic systems. Its primary concern focuses on the minimization of the total logistic cost including ordering, inventory, in-transit inventory, and transportation cost. For retailers, DRP can help maintain the inventory control. The distribution center collects the demand information from its retailer and car fleet would be sent out to satisfy retailers* demand. The routingplan can be obtained by VRP (Vehicle Routing Problem) algorithm. In the past, most of the research did not consider transportation cost in the distribution management. In this research, a integrated mathematicalmodel is built, where the transportation cost is included. In addition, routing information can also be generated for the operational purpose. The basic purpose of this research is to verify that a planning modelusing DRP and then VRP would incur higher cost than a model integrating both DRP and VRP in one mathematical model. A real example is used and the results agrees with our assumption.

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Bhathal, Kulvir. "Lot sizing and distribution requirements planning with fuzzy information (data)." 2004. http://hdl.handle.net/1993/15815.

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Bao-Yuan, Lin, and 林保源. "A Distribution Management Model Integrating Price Discount Distribution Requirements Planning ＆ Vehicle Routing Problem with Time Windows." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/29202256067398358102.

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碩士<br>大葉大學<br>工業工程研究所<br>88<br>In this research, we consider a management model in which a distribution requirement planning (DRP) model and vehicle routing planning (VRP) model are integrated with minimization of total cost objective. The quantity discount and time window constraints are taken into account during integrated model construction. The research is completed in the two ways: one is using the 0-1 mathematical programming for model development; however, the mathematical programming model can not get a optimal solution in a reasonable running time, the heuristic algorithm is, thus, employed to reduce the running time consumption. The example illustrations show that the construct heuristic performs well both in the solution quality and efficiency.

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Li, Yi-Shiuan, and 李宜軒. "A Distribution Management Model With Fixed Lifetime Products Integrating Distribution Requirements Planning & Vehicle Routing Problem." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/52479777464580287226.

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碩士<br>雲林科技大學<br>全球運籌管理研究所碩士班<br>98<br>This research attempts to solve the distribution management problem. In this problem, the products have fixed lifetime. This research has three math models.The DRP model.The VRP model. And the last, it is Integrating DRP and VRP model. We can use LINGO6.0 to solve it. But, the setup time is to long. In this research, it is proposed algorithms to solve it.Algorithms are about Tabu and SA. Use the Tabu or SA to solve the step by step or integrating problem. In the last, it is can find the best algorithms combination. The rxperimental results, when we to solve the math models or Algorithms. Integrating problem is better than the step problem. The algorithms combination, it is the DRP-Tabu and DRP-Tabu in integrating problem.

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Job, M. A. "Implementing material requirements planning in a distribution environment to manage and control the material more effectively." Thesis, 1994. https://hdl.handle.net/10539/25854.

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UNIVERSITY OF THE WITWATERSRAND, JOHANNESBURG SCHOOL OF MECHANICAL ENGINEERING PROJECT REPORT FOR DEGREE OF MASTERS 0F SCIENCE IN ENGINEERING (INDUSTRIAL).<br>Pretoria Distributor, one of Eskom's five main distributors, was experiencing several problems with the management and planning of their electrification projects. The problems occurred as a result of inadequate systems, processes and training. The rapid increase in the volume of material that had to be managed necessitated them to investigate the possibility of implementing Materials Requirements Planning. The investigation highlighted the fact that it would be very difficult to handle the volume of projects on the current systems, [i.e. base systems) and while the environment at the Distributor is not ideally suited to MRP, they should still enjoy many of the benefits of implementing MRP. In preparing for the implementation, several action plans had to be put in place to address the problems of poor planning. By the time the Distributor was "live" on MRP many of the earlier problems relating to planning and design standards, had been addressed. 'the pest implementation evaluation revealed that although the electrification projects was not an ideal environment in which to run MRP, they were enjoying several benefits from the implementation.<br>Andrew Chakane 2018

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Oldford, Alexandra. "Examining the Relationship between Pumping Energy and Geographically-Targeted Water Conservation Measures in Municipal Water Distribution Networks." Thesis, 2013. http://hdl.handle.net/1974/8062.

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Municipal water distribution systems are operated and maintained by utilities whose first priority is the safe and reliable provision of drinking water to consumers. The cost to move and treat water through distribution networks is significant and can account for up to 80% of a utility’s energy costs. As these networks age, operating and maintenance costs continue to increase due to higher incidences of leaks and breaks and increased pipe friction leading to higher energy use. Many utilities are considering water conservation as a strategy to reducing their energy consumption by reducing the amount of water being pumped and treated in their jurisdictions. This work studies the pumping energy response of a distribution system when water conservation strategies are implemented in small geographic areas in the network. A water conservation plan is tailored to each defined area by specifying which conservation measures are feasible to implement, desired by the customer, and are attractive to the utility based on a potential return on investment in the form of reduced electricity bills to pump and treat water. Energy intensity and energy elasticity indicators are developed to assess the mechanical energy used in a network to distribute water to end-users. A case study for the City of Kingston water distribution system is presented. The distribution system studied indicated that when water conservation strategies produced marginal water savings, the energy response was inelastic to changes in water demand. The amount of energy required to move one cubic metre of water through the network increased with higher water savings because the percent savings of water was higher than the percent savings of pumping energy.<br>Thesis (Master, Civil Engineering) -- Queen's University, 2013-05-31 14:20:18.363

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Books on the topic "Distribution Requirement Planning"

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Institute of Medicine (U.S.). Committee on the U.S. Physician Supply. The nation's physician workforce: Options for balancing supply and requirements. Edited by Lohr Kathleen N. 1941-, Vanselow Neal A, and Detmer Don E. National Academy Press, 1996.

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Lyubarskiy, Yuriy, and Aleksandr Hrennikov. Intelligent electrical networks: computer support for dispatching solutions. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1134516.

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For" smart " electric networks, intelligent software tools that perform new functions and increase the level of computer support for dispatching solutions are considered. Given that one of the goals of building "smart" networks is to ensure recovery after accidents, the main focus of the textbook is on the problems of diagnosing emergency situations, intelligent monitoring of the state of electrical networks, and planning for the post-accident restoration of power supply. A new type of software simulator for dispatchers of electrical networks — a simulator for analyzing emergency situations-is considered in detail. The theoretical material is accompanied by many examples in the form of protocols for the operation of real intelligent systems. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of electric power specialties, managers and specialists of operational services of enterprises of power systems, electric and distribution networks and power stations, branches of PJSC ROSSETI, PJSC FGC UES, as well as students of advanced training courses.

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Fournier, Paul. Gestion des approvisionnements et des stocks. G. Morin, 1999.

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Pinelli, Thomas E. NASA/DoD Aerospace Knowledge Diffusion Research Project: Summary report to phase 3 academic library respondents including frequency distributions. Langley Research Center, 1991.

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Gestion de l'approvisionnement et des stocks. GAETAN MORIN, 2004.

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Kennedy, Robert. Of Knowledge and Power. Greenwood Publishing Group, Inc., 2008. http://dx.doi.org/10.5040/9798400692703.

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This work examines the labyrinth of complexities that confronts the Intelligence Community in its efforts to provide accurate and timely intelligence in support of American foreign policy and national security interests. Kennedy begins with an analysis of the collection processes and the obstacles that must be overcome if accurate and meaningful information is to be obtained. He addresses such issues as the need for strategic vision and clarity in setting priorities, as well as constraints imposed by the executive branch and the complexities associated with translating priorities into collection programs. The focus then shifts to the obstacles that confront those tasked to analyze collected information, examining such issues as the impact of people, technology, and budgets on the overall analytical effort. The third area of emphasis for Kennedy centers on the quality control of collection and analysis, addressing both Executive Branch and Congressional Oversight of the intelligence processes. Finally, he examines issues associated with the distribution and use of the intelligence products - the so-called end game obstacles. Issues addressed include the lack of presidential support for and confidence in the Intelligence Community, the impact of worst-case planning, and the coloring of intelligence to suit policy preferences. Ultimately, the component parts provide the reader with a broad understanding of the Intelligence Community and the difficulties it faces as it strives to keep the United States safe and informed. In the wake of recent intelligence failures, the Intelligence Community has come under increasing attack. Yet few people outside of government, and all too frequently many inside of government, do not understand just how difficult and complex are the processes of collecting, analyzing, disseminating, and effectively using gathered intelligence. The purpose of this undertaking is to illustrate the many road blocks the Intelligence Community confronts as it attempts to meet the needs of policymakers and to provide the average American, students of foreign and security policy, and many inside of government with a more comprehensive understanding of the overall intelligence effort. The complex processes for identifying, prioritizing, and communicating requirements to the intelligence community are further complicated by a lack of strategic vision on the part of American policy makers. Kennedy contends that those problems are compounded by Executive department oversight of the Intelligence Community, which has contributed significantly to past failures of intelligence. Moreover, the lack of effective oversight by Congress of the Intelligence Community in terms of the quality of its product upon which Congress has often been required to make life and death decisions too often has been either seriously deficient or non-existent. All too frequently, Kennedy notes, what could be called political coloring adversely affects the intelligence product. Intelligence findings are often colored to suit the preferred policies of decision-makers. As a result, actions are taken based on assumptions and opinions that are not supported by existing intelligence.

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Book chapters on the topic "Distribution Requirement Planning"

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Ross, David Frederick. "Distribution Requirements Planning." In Distribution. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4684-0015-1_8.

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Ross, David Frederick. "Distribution Requirements Planning." In Distribution Planning and Control. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-8939-0_8.

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Dickersbach, Jörg Thomas, and Michael F. Passon. "Distribution Requirements Planning." In Management for Professionals. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45433-6_8.

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Magad, Eugene L., and John M. Amos. "Utilizing Material Requirements Planning and Distribution Requirements Planning for Materials/Logistics Management." In Total Materials Management. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4684-6450-4_7.

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Magad, Eugene L., and John M. Amos. "The Impact of Material Requirements Planning and Distribution Requirements Planning on Materials Management." In Total Materials Management. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6566-2_6.

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Fitzpatrick, A. E. "Implementation of an Integrated Demand Forecasting and Distribution Requirements Planning System." In Operations Research Proceedings. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74862-2_145.

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Ranke, Daniel, and Thomas Bauernhansl. "Cost-Minimal Selection of Material Supply Strategies in Matrix Production Systems." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_22.

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AbstractCompanies are facing changing market demands, high variance, and volatile quantities. Resilient production systems are needed to meet these challenges. The matrix production is such a system. It offers degrees of freedom in terms of operation sequence flexibility and work distribution flexibility through redundantly used resources. For the material supply this is a challenge in planning. The material must be supplied in a cost-efficient manner and without shortages.To increase planning quality, a method for selecting the least expensive material supply strategy is developed. Depending on consumption, constraints of space, and supply framework conditions, different strategies are advantageous for each material. The developed method requires three steps.First, required data for step 2 and step 3 is collected. In step 2, standardized process blocks combine to describe a company-specific material supply strategy. The approach is company-independent and added by cost functions to the process blocks. Through the cost functions applied to the process blocks the costs of a supply strategy is achieved. As material can be supplied in alternative ways, multiple expected costs for supplying arise. As only one supply strategy needs to be selected, step 3 is necessary. It uses the branch-and-cut algorithm on the mathematical description of the logistic selection problem to find the cost-minimal configuration of supply strategies. As the problem is in the context of matrix production, several conditions and requirements need to be included in the selection process.The result is the assignment of a material supply strategy to each material while minimizing the costs.

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Bilal, Muhammad Tabish, and Davide Giglio. "GeTUP: An Internet of Things-Based Navigation System Architecture for High-Level Route Planning." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85578-8_34.

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Abstract Modern drivers equipped with GPS-enabled devices digest traffic information and work as traffic information providers. Driving experiences and fuel consumption are also shared in novel systems to help users’ route choices. Navigators in special terrain cities like Genova, Italy achieve sub-optimal results when they reroute the traffic greedily towards light-congested roads inducing new traffic jams. Furthermore, the absence of user preferences and advanced profiling curtail the competency of navigators to provide need-based responses to their users. This article aims to present a deliverable for Green MaaS for an adaptive urban planning project Liguria region in Italy to fill the gaps present in current navigators suggesting more optimal routing solutions considering the user requirements. The GeTUP application provides a specific pertinent and germane service equipped with an interface that is competent to acclimate to the characteristics of its users. The logical navigation algorithm is based on automated self-learning internet-of-things-based architecture that works on user choices to generate high-level route information. On receiving the request, the server executes the search algorithm based on the provided origin, destination and percentage of desired high-level information required based on the user profiling. The results are based on both the real-time traffic rhythm and near-future traffic distribution estimates based on the rerouting decisions. GeTUP application is implemented as a pilot MaaS solution for the city of Genova. The real-time data obtained upon evaluation revealed that the application contributes actively to coordinating the traffic based on user decisions and preferences between different alternatives and alleviates congestion situations.

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Pawlowski, Alex M. "Decentralized Autonomous Organizations (DAOs) as Innovative Means to Supplement Transition Governance." In Global collaboration, local production. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-44114-2_7.

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AbstractThe following contribution explains how a DAO (Decentralized Autonomous Organization) can technologically supplement the governance process in complex environments, in this case urban environments where Fab City is active. DAOs are implementations of the blockchain technology which can be considered as coordination tools and de facto “decentralized ERP* (Enterprise Resource Planning) systems on the internet”. They can enable organizations and communities to address challenges that are otherwise too complex in a tangible, dynamic and sustainable manner which caters to the general need for transition governance. To facilitate collaboration and coordination, the idea of a DAO is to effectively capture the various rule sets, actor constellations and general conditions to address the four universal problems in organizing-task division, task allocation, reward distribution, and information flows. The following conceptualization aims to provide a practical solution alternative to supplement cooperation and coordination between various actors within the wider ecosystem using a DAO. The current state of blockchain and DAO research serves as a rich backdrop when exploring the given opportunity and shedding light on the most important requirements, risks, and success factors. Despite remaining challenges in particular the legal domain, the focus of this article is to showcase how a progressive path forward can lead to a setting in which DAOs can be successfully integrated and become an operational part of an urban environment.

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McNew, Lance B., R. Dwayne Elmore, and Christian A. Hagen. "Prairie Grouse." In Rangeland Wildlife Ecology and Conservation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34037-6_9.

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AbstractPrairie grouse, which include greater prairie-chicken (Tympanuchus cupido), lesser prairie-chicken (T. pallidicinctus), and sharp-tailed grouse (T. phasianellus), are species of high conservation concern and have been identified as potential indicator species for various rangeland ecosystems. Greater prairie-chickens are found in scattered populations in isolated tallgrass prairie throughout the Midwest, but primarily occur in the more expansive tallgrass and mixed-grass prairies in the Great Plains. Lesser prairie-chickens occur in mixed-grass, shortgrass, and arid shrublands of the southern Great Plains. Sharp-tailed grouse occur in mixed-grass, shortgrass, shrub steppe, and prairie parkland vegetation types and are broadly distributed across the northern Great Plains, portions of the Great Basin, and boreal parkland areas of Alaska and Canada. Due to reliance on a variety of rangeland types, consideration of management and anthropogenic activities on rangelands are critical for prairie grouse conservation. Grazing is one of the more prominent activities that has the potential to affect prairie grouse by altering plant structure and composition, and recent research has attempted to identify the mechanisms of grazing effects on prairie grouse. Fire is another important disturbance affecting grouse habitat, especially considering how the current distribution and intensity of fire differs from what occurred historically. Additionally, human infrastructure in the form of roads and energy development, as well as land conversion and degradation such as tillage and tree encroachment can fragment and reduce habitat for prairie grouse. Finally, weather including drought, extended rain, and temperature extremes are common across the distribution of prairie grouse. Although not directly under management control, the effects of weather are an overarching factor that need to be considered in conservation planning. This chapter will summarize the life-histories and habitat requirements of prairie grouse, discuss how rangeland management and other human activities affect them, highlight major threats to prairie grouse and provide recommendations for future management and research.

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Conference papers on the topic "Distribution Requirement Planning"

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Lee, W. Q., T. J. Chua, R. K. Katru, and T. X. Cai. "Implementing Advanced Distribution Requirement Planning and Scheduling System (DRPS) for Lens Manufacturing Company." In 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2024. https://doi.org/10.1109/ieem62345.2024.10857113.

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Lin, Tingting, Guilian Wu, Wei Ye, and Lu Tang. "Optimisation Method of Distribution Network Planning and Construction Investment Analysis Considering the Substation Requirement." In 2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2024. http://dx.doi.org/10.1109/itnec60942.2024.10733185.

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Jain, Anil K., Cristina Peratta, John M. W. Baynham, and Robert A. Adey. "Optimization of Retrofit Cathodic Protection (CP) Systems Using Computational Modeling by Evaluating Performance of Remnant and Retrofit CP Systems, Taking into Account Long-Term Polarization Effects." In CORROSION 2011. NACE International, 2011. https://doi.org/10.5006/c2011-11059.

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Abstract Sacrificial anode retrofitting to aging structures is routinely performed for life extension of offshore assets in matured fields. Sometimes earlier retrofit systems are now being replaced or supplemented. Understanding when remnant CP systems can no longer prevent depolarization is important as timely intervention can reduce overall retrofit cost, which is a significant factor. Life must be extended a required number of years, and design should take into account performance of remaining anodes and state of calcareous deposits. Data for this is generally available from past surveys. During design, computational modeling can be used firstly to gain quantitative understanding of the state of the structure, remaining life of existing anodes and estimated date at which serious loss of calcareous deposits will occur. Secondly, modeling can determine the short term effect of a new CP system on structural potentials. This information can be used to modify the numbers, positions and mass of new anodes. This optimizes distribution of potential and anode mass loss rates. Moreover, benefits of fewer large versus several smaller anodes can be weighed-up. Finally, modeling can determine the long-term effects of new, old, and combined CP systems, eg to identify when individual anodes reach their utilization factor and consequent effect on remainder of structure. The aim of this paper is to present a case where modeling has been applied to a jacket structure, using “long-term” polarization curves to represent accumulation of calcareous deposits. Hence, the key benefits achieved are: retrofit requirement reduction, significant cost savings, better CP current distribution despite reduction in number of anodes, maximized life. Other future benefits are possibility to predict future CP survey frequency and improved planning of retrofits requirements; hence saving further cost on needless future surveys.

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Sun, Yaqi, Wenchuan Wu, Haotian Zhao, and Yujie Sheng. "Active Distribution Network Energy Storage Planning Model for Reliability Requirements." In 2024 3rd Asia Power and Electrical Technology Conference (APET). IEEE, 2024. https://doi.org/10.1109/apet63768.2024.10882672.

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Leyland, David S. "Overcoming Obstacles to Repaint a Unique Structure – from Initial Planning through Project Completion." In SSPC 2008. SSPC, 2008. https://doi.org/10.5006/s2008-00035.

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Abstract The paper chronicles and discusses the challenges, options, choices and solutions from the design phase through the actual blast cleaning and painting of one of the most unique steel structures in the world, the largest radio telescope at Arecibo, Puerto Rico. Challenges included: almost daily thunder storms, a truss structure consists of 900 tons of steel elevated on cables approximately 450 feet above an 18 acre aluminum dish, penalties for dropping anything, access from only a single suspended 700 ft walkway, limitations on weight distribution and weight loads, removal of lead and mill scale in total containment, structural limitations affecting containment installation, protection of numerous delicate wires, cables, sensors and other equipment, locating/importing equipment, bureaucratic requirements, and more.

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Wang, Mingzhang, Puqiang Zhang, Mike Ringle, Gaurav Jain, and Tom Gorka. "Assessment and Management of Corrosion in Implantable Medical Device Battery." In CORROSION 2015. NACE International, 2015. https://doi.org/10.5006/c2015-06080.

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Abstract Implantable medical device (IMD) batteries have very high reliability requirements for materials stability, specifically in terms of corrosion resistance, to assure the performance and reliability of the battery and device and the patient safety. Corrosion assessment and management (CAM) of the battery can be achieved through planning, testing, validation, quality control, and monitoring during the entire lifecycle of the battery product, encompassing research, development, manufacturing, distribution, and implantation with the device. A strategic plan with effective execution of corrosion testing is the key to success. This article presents some basic aspects of IMD battery corrosion assessment and management. The IMD battery chemistry, materials, failure modes, risks and mechanisms of corrosion are reviewed. The processes of corrosion assessment and management in the IMD battery product lifecycle are described. The methods of corrosion testing using electrochemical coupons and battery samples are discussed and highlight detail of corrosion cell design, test conditions and accelerated testing. Some of the technical challenges and outcomes in corrosion assessment of IMD battery are demonstrated through examples. A general strategy for corrosion testing and reliability demonstration is given for consideration.

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DAYANTI, Alvina, Mgs Afriyan FIRDAUS, Allsela MEIRIZA, Dwi Rosa INDAH, and Ahmad HERYANTO. "Implementation of Distribution Requirement Planning in the Subsidized Fertilizer Management System." In Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019). Atlantis Press, 2020. http://dx.doi.org/10.2991/aisr.k.200424.082.

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Lee, W. Q., T. J. Chua, R. K. Katru, and T. X. Cai. "Implementing Distribution Requirement Planning and Scheduling System for Lens Manufacturing Company." In 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2022. http://dx.doi.org/10.1109/ieem55944.2022.9989590.

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Wahyuningsih, Delpiah, Harrizki Arie Pradana, and Hamidah. "Prediction of The Needs of Industrial Oil Fuels with The Implementation of Distribution Requirement Planning (DRP)." In 2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE). IEEE, 2018. http://dx.doi.org/10.1109/icitisee.2018.8721002.

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Zhan, Xianyuan, Xiangyu Zhu, and Haoran Xu. "Model-Based Offline Planning with Trajectory Pruning." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/516.

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The recent offline reinforcement learning (RL) studies have achieved much progress to make RL usable in real-world systems by learning policies from pre-collected datasets without environment interaction. Unfortunately, existing offline RL methods still face many practical challenges in real-world system control tasks, such as computational restriction during agent training and the requirement of extra control flexibility. The model-based planning framework provides an attractive alternative. However, most model-based planning algorithms are not designed for offline settings. Simply combining the ingredients of offline RL with existing methods either provides over-restrictive planning or leads to inferior performance. We propose a new light-weighted model-based offline planning framework, namely MOPP, which tackles the dilemma between the restrictions of offline learning and high-performance planning. MOPP encourages more aggressive trajectory rollout guided by the behavior policy learned from data, and prunes out problematic trajectories to avoid potential out-of-distribution samples. Experimental results show that MOPP provides competitive performance compared with existing model-based offline planning and RL approaches.

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Reports on the topic "Distribution Requirement Planning"

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Schwartz, Lisa, Natalie Frick, Sean Murphy, et al. State Requirements for Electric Distribution System Planning. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2497301.

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A model of costs of a CBD programme. Population Council, 1995. http://dx.doi.org/10.31899/rh1995.1031.

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This study is a collaborative effort of the Population Council, New Delhi, and the Centre for Development and Population Activities, New Delhi. Cost analysis is an analytical tool that provides program managers and planners with information about existing and potential programs. Existing programs can be evaluated for efficiency and effectiveness, while the resource requirements of future programs can be estimated. In the context of family planning (FP) programs, cost analysis provides policymakers and program managers with sufficient data on efficient ways to meet the demand for FP services with available resources. As FP programs mature and requirements for the resources expands, research is required to shed light on such issues as cost effectiveness and program sustainability. A community-based distribution project in Samastipur district in Northern Bihar was effective in increasing the contraceptive prevalence rate by 3.6 percentage points. As noted in this report, the results of the cost analysis has been useful for expansion and replication of the model in Uttar Pradesh.

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