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Neural Network Forecasting Method for Inventory Management in the Supply Chain

Oleg Grygor, Eugene Fedorov, Olga Nechyporenko, Mykola Grygorian
<span title="">2022</span> <i title="Publishing House Helvetica (Publications)"> Computer Modeling and Intelligent Systems </i> &nbsp;
The problem of insufficient prediction accuracy for inventory management arising in supply chains is considered.  ...  Software has been developed by the Matlab package that realizes the offered method. The created software is used to implement the prediction in the supply chain management problem.  ...  For example, in supply chain inventory management systems such as MRP and Lean Production, where prediction plays an important role. the prediction.The problem of enhancement the prediction accuracy for  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32782/cmis/3137-2">doi:10.32782/cmis/3137-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yharpxzcfnds5ooaqhchfg5pae">fatcat:yharpxzcfnds5ooaqhchfg5pae</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220519121939/http://ceur-ws.org/Vol-3137/paper2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/59/7d/597d9e9deea97a8303c62d5696212fae7dc9fdd1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32782/cmis/3137-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Reviewing the Applications of Neural Networks in Supply Chain: Exploring Research Propositions for Future Directions

Ieva Meidute-Kavaliauskiene, Kamil Taşkın, Shahryar Ghorbani, Renata Činčikaitė, Roberta Kačenauskaitė
<span title="2022-05-20">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dmr4kpn2yreovpdxpdiqtjcrnu" style="color: black;">Information</a> </i> &nbsp;
decision support, and the possibility of using NNs in supply chain management.  ...  This study generally introduces NNs and has explained the use of this method in five features identified by supply chain area, including optimization, forecasting, modeling and simulation, clustering,  ...  Data Availability Statement: The data of this study are available from the authors upon request. Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/info13050261">doi:10.3390/info13050261</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gag6ndfpijdhvbc2wzchwbabvm">fatcat:gag6ndfpijdhvbc2wzchwbabvm</a> </span>
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The Research on the Inventory Prediction in Supply Chain based on BP-GA Chaos Prediction Algorithm

Wencheng Liu
<span title="2015-12-31">2015</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cjfkr6nrjbcjrhn6a6mvtme4ay" style="color: black;">International Journal of u- and e- Service, Science and Technology</a> </i> &nbsp;
In the modern supply chain management, optimizing supply chain can reduce the cost of the enterprise. In the optimization of supply chain, the inventory optimization is a very important part.  ...  Because the supply chain network is complex, we use the chaos theory to study and predict the inventory.  ...  Then they introduced the five applications about the neural network technology in the supply chain management in detail.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijunesst.2015.8.12.30">doi:10.14257/ijunesst.2015.8.12.30</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kmlaatej6fcp5mxz34zs3ufz2m">fatcat:kmlaatej6fcp5mxz34zs3ufz2m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603011443/http://www.sersc.org/journals/IJUNESST/vol8_no12/30.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b0/9f/b09f6a05fd9440890e00bee5f72098e026fb78c5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijunesst.2015.8.12.30"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Optimizing Demand and Forecasting in Supply Chain Management Using AI

Veer Singh Chandraul, Shyam Kumar Barode
<span title="2018-12-10">2018</span> <i title="Smart Moves"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/f6stiz4i3fdudmhdc33nkhy2jy" style="color: black;">SMART MOVES JOURNAL IJOSCIENCE</a> </i> &nbsp;
This study demonstrates forecasting practices in supply chain management (SCM) at various areas, particularly Life science, Retail Chain, and FMCG.  ...  Though this paper highlights in intensive analysis, however, it unlocks further frontiers for the prospective researchers as well as practitioners in order to apply forecasting techniques.  ...  Based on the foregoing characteristics, neural networks currently applied in the supply chain management are mainly in the following three areas: optimization, forecasting and decision support.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24113/ijoscience.v4i12.174">doi:10.24113/ijoscience.v4i12.174</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/riwgippbgjbjvgk5u3grkoevou">fatcat:riwgippbgjbjvgk5u3grkoevou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201210164836/https://ijoscience.com/ojsscience/index.php/ojsscience/article/download/174/682" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/be/9c/be9cee1e1308b2ba07b10b50a0f6a47714038042.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24113/ijoscience.v4i12.174"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Inventory management and cost reduction of supply chain processes using AI based time-series forecasting and ANN modeling

Umamaheswaran Praveen, Ganjeizadeh Farnaz, Ghasib Hatim
<span title="">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sqnbv6uavzg4nagumbc5c6qwmi" style="color: black;">Procedia Manufacturing</a> </i> &nbsp;
One of the biggest wastes that are usually present in a supply chain are unnecessarily high inventory costs and shortage costs which are caused by errors in demand forecasting.  ...  One of the biggest wastes that are usually present in a supply chain are unnecessarily high inventory costs and shortage costs which are caused by errors in demand forecasting.  ...  The overall improved efficiency of the supply chain networks also results in various other benefits. It reduces the overall operational costs which includes storage and transportation costs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.promfg.2020.01.034">doi:10.1016/j.promfg.2020.01.034</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3ub7gfwzy5ddzmfvz62xj5c6qe">fatcat:3ub7gfwzy5ddzmfvz62xj5c6qe</a> </span>
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Fuzzy Adaptive ELM Approach for Supply Chain Management

Satyam Chouksey
<span title="2020-05-24">2020</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Based on the foregoing characteristics, neural networks currently applied in the supply chain management are mainly in the following three areas: optimization, forecasting and decision support. A.  ...  Conclusion The neural network displays a satisfactory ability to solve most of difficult problems appeared in supply chain management.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4497780">doi:10.5281/zenodo.4497780</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iwvjynkcejgktcchcacdtwrhna">fatcat:iwvjynkcejgktcchcacdtwrhna</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210209221347/https://zenodo.org/record/4497781/files/Satyam.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6b/eb/6beb89bf9418b4bca61e90f6efc3af856af628e5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4497780"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

A Model Predictive Control And Time Series Forecasting Framework For Supply Chain Management

Philip Doganis, Eleni Aggelogiannaki, Haralambos Sarimveis
<span title="2008-03-25">2008</span> <i title="Zenodo"> Zenodo </i> &nbsp;
The proposed framework will be tested on industrial data in order to assess the efficiency of the method and the impact of forecast accuracy on overall control performance of the supply chain.  ...  A complete supply chain management framework that is based on Model Predictive Control (MPC) and Time Series Forecasting will be presented in this paper.  ...  CONCLUSION A framework for supply chain management based on Model Predictive Control combined with a forecasting module was presented.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1062293">doi:10.5281/zenodo.1062293</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mahjmwfbdnbbpcozqtkqxj2pwq">fatcat:mahjmwfbdnbbpcozqtkqxj2pwq</a> </span>
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Reducing the bullwhip effect from signal demand of hybrid artificial neural network models of supply chain in Indonesia

et al. Fradinata
<span title="">2017</span> <i title="International Journal of Advanced and Applied Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yppskh3jfbc37jyfabcggfgibi" style="color: black;">International Journal of Advanced and Applied Sciences</a> </i> &nbsp;
Compare the forecasting method of artificial neural network and support vector regression model to measure the bullwhip effect in supply chain  ...  The objective of this study was to compare the Bullwhip Effect (BWE) in the supply chain through two methods and to determine the inventory policy for the uncertainty demand.  ...  ACKNOWLEDGMENT The authors would like to thank Kemristek Dikti of Indonesia for the scholarship program, to the Prince of Songkla University, Hatyai, Thailand, and Universiti Malaysia Pahang (www.ump.edu.my  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21833/ijaas.2017.010.011">doi:10.21833/ijaas.2017.010.011</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/34bcaiklobdz7mhwxk77bjpcpm">fatcat:34bcaiklobdz7mhwxk77bjpcpm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320160506/http://journal.ump.edu.my/jmes/article/download/1218/369" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/79/1d/791d87ba025eacec64b95b9be61daa0d450eea9c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21833/ijaas.2017.010.011"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Demand Forecasting Using Fuzzy Methods Approach in Supply Chain Management

Satyam Chouksey, Amit Soni
<span title="2021-03-27">2021</span> <i title="Smart Moves"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/f6stiz4i3fdudmhdc33nkhy2jy" style="color: black;">SMART MOVES JOURNAL IJOSCIENCE</a> </i> &nbsp;
For a company, forecasting is a vital part of its operations. This is regarded as the most basic input in the SCM department and the company.  ...  This research reveals that the firm's organization can use the barriers and few practical solutions for forecasting.  ...  The usage of neural networks to solve problems such as supply chain management optimization is something we've looked into in the past.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24113/ijoscience.v7i3.435">doi:10.24113/ijoscience.v7i3.435</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g5bofczpp5ek3d7ke76emxxxsa">fatcat:g5bofczpp5ek3d7ke76emxxxsa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220206045031/https://ijoscience.com/ojsscience/index.php/ojsscience/article/download/435/954" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/68/b2/68b2768a522257dd30e3dafdf21a3f51fcb0057f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24113/ijoscience.v7i3.435"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Predictive and Comparative Analysis on Products Demand in Supply Chain and Management

Fahad Hussain, Muhammad Shahzad Haroon
<span title="2018-06-30">2018</span> <i title="Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jiffouvlovcexgnbyjmyqb75nu" style="color: black;">Journal of Independent Studies and Research - Computing</a> </i> &nbsp;
machine (SVM) and artificial neural network (ANN).  ...  The efficient demand forecast system is a useful method to accomplish prior goals, improve customer satisfaction and reduce out of stock conditions for products.  ...  Kandananond, "Consumer Product Demand Forecasting Based on Artificial Neural Network and Support Vector Machine", International Journal of Economics and Management Engineering, vol. 6, no. 3, pp:  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31645/jisrc/(2018).16.1.05">doi:10.31645/jisrc/(2018).16.1.05</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3mrjcc6xiffkvgx6jwuajitbzu">fatcat:3mrjcc6xiffkvgx6jwuajitbzu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306112851/http://jisrc.szabist.edu.pk/index.php/jisrc/article/download/49/19" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/eb/94/eb9459b44b2e03f74ec1485a9d97899dedd2635a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31645/jisrc/(2018).16.1.05"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Suitable Artificial Intelligence Model for Inventory Level Optimization

Tereza Sustrova
<span title="2016-05-30">2016</span> <i title="Brno University of Technology"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/c7jk4xhk5jhmvircymxpoii53a" style="color: black;">Trendy Ekonomiky a Managementu</a> </i> &nbsp;
Purpose of the article: To examine suitable methods of artificial neural networks and their application in business operations, specifically to the supply chain management.  ...  As an instrument for neural network forecasting MathWorks MATLAB Neural Network Tool was used. Deductive quantitative methods for research are also used.  ...  Acknowledgment This paper was supported by grant FP-S-15-2787 "Effective Use of ICT and Quantitative Methods for Business Processes Optimization" from the Internal Grant Agency at Brno University of Technology  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.13164/trends.2016.25.48">doi:10.13164/trends.2016.25.48</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fwzleevgtraxnf5d3zr2smtzla">fatcat:fwzleevgtraxnf5d3zr2smtzla</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430195302/https://trends.fbm.vutbr.cz/index.php/trends/article/download/344/293" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/b4/fbb4583c4ac858c6524803d0cd007c19ef202186.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.13164/trends.2016.25.48"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

The Analysis of the Role of Bullwhip Effects on the Four-Level Supply Chain in Industry Using Statistical Methods

Peyman Barzegar Keliji, Hassan Ali Aghajani, Mohammad Mehdi Movahedi, Seyed Ahmad Shayannia, Reza Lotfi
<span title="2022-06-06">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3s4wom7forhp3klujcroiocrpi" style="color: black;">Discrete Dynamics in Nature and Society</a> </i> &nbsp;
Each level of the chain forecasted demand by moving average method, exponential smoothing, multilayer perceptron artificial neural network, and regression.  ...  In this study, we explored the demand forecasting in supply chain, a four-level chain of retailers, wholesalers, manufacturers, and suppliers.  ...  As the results of analysis of variance showed, the best scenario for forecasting the four-level supply chain, Scenario 16, i.e., the neural network method for the retailer level, the linear regression  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/2720244">doi:10.1155/2022/2720244</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3uljryoxhjcepe6ondbbnfo4zi">fatcat:3uljryoxhjcepe6ondbbnfo4zi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220609175321/https://downloads.hindawi.com/journals/ddns/2022/2720244.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/6a/416a013c37425587c92e80eada4d75328f96ae4a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/2720244"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

A review of soft computing applications in supply chain management

Mark Ko, Ashutosh Tiwari, Jörn Mehnen
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/spnlkxfb7fevrarnlb7rv32roy" style="color: black;">Applied Soft Computing</a> </i> &nbsp;
transportation, logistics, forecasting, and inventory.  ...  Given the specific interest in how soft computing techniques have been applied to supply chain management, the empirical and diverse studies published from 1990 to 2008 were selected for further analysis  ...  Neural networks are broadly used to improve sales forecasting performance. The numerous and complex data sources are always needed to solve most of the problems in supply chain management.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.asoc.2009.09.004">doi:10.1016/j.asoc.2009.09.004</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sz4cmtmxizfm7hhmrjeskwqj64">fatcat:sz4cmtmxizfm7hhmrjeskwqj64</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922021413/https://dspace.lib.cranfield.ac.uk/bitstream/1826/4319/1/A%20review%20of%20soft%20computing%20applications%20in%20supply%20chain.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c0/40/c04039f89ed29a733691152078223171c72ad141.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.asoc.2009.09.004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

An ANN Approach to Demand Forecasting in Retail Trade in Bangladesh

M. Ahsan Akhtar Hasin, Shuvo Ghosh, Mahmud A. Shareef
<span title="">2011</span> <i title="EJournal Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/46635flbsjg7rbxbpj2qvcvwka" style="color: black;">International Journal of Trade, Economics and Finance</a> </i> &nbsp;
The same was done again using artificial neural network (ANN) with fuzzy uncertainty. Finally, the errors, measured in terms of MAPE, were compared for finding the best fitting forecasting approach.  ...  For a small retail trading chain, demand forecasting is the main driver to effectiveness and efficiency.  ...  This research applied neural network analysis for forecasting the demand of noodles in a large chain super market in Dhaka, the capital city of Bangladesh. VI.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/ijtef.2011.v2.95">doi:10.7763/ijtef.2011.v2.95</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3qyodxjpezbinpo6zg53yiklhy">fatcat:3qyodxjpezbinpo6zg53yiklhy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721071828/http://www.ijtef.org/papers/95-F512.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/79/db/79db37e6c15de244fef8b6e7d0aad1b45a6b9b7f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/ijtef.2011.v2.95"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Smart Warehouse Management using Hybrid Architecture of Neural Network with Barcode Reader 1D / 2D Vision Technology

Mbida Mohamed, Dept Mathematics& informatics Emerging Technologies Laboratory (LAVETE), Faculty of Sciences and Technology Hassan 1st University, Settat, Morocco
<span title="2019-11-08">2019</span> <i title="MECS Publisher"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/koacvjimprbbvhwasrewxdbiuy" style="color: black;">International Journal of Intelligent Systems and Applications</a> </i> &nbsp;
Manually, to manage stocks amounts spending the every day in the rays to count for each product the number which it remains in stores, or to record by a scanner head barcode information dependent of each  ...  In this article we use a network architecture neuron combined with the readers bar code of technology vision, this method allows to know in real time information concerning each product in stock.  ...  Forecasting Model of Supply Chain Management Based on Neural Network Pr HongJing Liu resume the applications of neural network technology [3] in supply chain management, which contain three domains:  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5815/ijisa.2019.11.02">doi:10.5815/ijisa.2019.11.02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v2g2bw77xrbxjntfapxp4xwgbu">fatcat:v2g2bw77xrbxjntfapxp4xwgbu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200212223301/http://www.mecs-press.org/ijisa/ijisa-v11-n11/IJISA-V11-N11-2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f5/14/f514da62438b04ce6d8f457110f7e7f2c5b00358.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5815/ijisa.2019.11.02"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>
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