Forthcoming articles

International Journal of Supply Chain and Inventory Management

International Journal of Supply Chain and Inventory Management (IJSCIM)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Register for our alerting service, which notifies you by email when new issues are published online.

Open AccessArticles marked with this Open Access icon are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.
We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Supply Chain and Inventory Management (2 papers in press)

Regular Issues

  • Optimal ordering policies for non- instantaneous Weibull deteriorating items with price linked demand under trade credits   Order a copy of this article
    by R.P. Tripathi, Hari Shyam Pandey 
    Abstract: The occurrence of numerous markets creates gainful opportunities to vendors and buyers. In this regard, this paper consists of the joint relationship between price sensitive demands with Weibull allocation decline. This study is annoyed by Soni (International Journal of Production Economics, 146, 259 268) considering Weibull distribution deterioration with two parameter under trade credits. Mathematical model is established for finding optimal cycle time and total turnover considering three cases for each situation depending on the position of time after which item starts to deteriorate and credit period. The objective of this investigation is to find the optimal total profit over cycle time. Further, we use numerical examples and sensitive analysis to illustrate the results and conclude the paper with suggestion for possible future research. Mathematica 7.1 software is used for numerical results.
    Keywords: Inventory; Weibull deterioration; price linked demand; trade credits; credit period.

  • Energy Efficiency Optimization in Supply Chain Networks: Impact of Inventory Management   Order a copy of this article
    by Charlène Niesseron, Rémy Glardon, Nicolas Zufferey, Mohsen Jafari 
    Abstract: This work describes the development of a model to address sustainability in supply chain networks in comparing environmental impact to cost optimization. It takes into account the effect of inventory management policies on energy consumption in transportation and storage. Using a detailed energy consumption infrastructure, a model was developed with the Arena software. The considered inventory management policy is the replenishment method. This work first focusses on a Base Case with one product type, involving one transportation link and one storage node. The transportation link allows the transfer of products from the supplier to the distributor where the material is stocked in order to fulfill the demand of the next member in the chain. This system is studied in the most general fashion so that the analysis could be applied to any transportation link and storage node of a supply chain. In addition, an Extended Case is considered, including additionally the transportation from the distributor to the customers. Real data is used, obtained from a food company in Indonesia. Our results show that the most energy efficient solution is not necessarily detrimental to the economic profits. Also, a higher performance does not always mean a higher energy use: increasing the service level can indeed decrease the energy use. Finally, our analysis shows that the model can be extended to describe an entire supply chain network.
    Keywords: Energy; Optimization; Supply chain; Transportation; Inventory Management; Simulation.

 

Return to top