28 November 2016

Call for papers: "Inventory Systems and Fuzzy Set Theory"

For a special issue of the International Journal of Supply Chain and Inventory Management.

Inventory systems deal with any activities to manage the inventory of raw materials, works in process, finished products, spares and equipment. Since the date that the first essential inventory system called economic order Quantity (EOQ) model was created by Ford Whitman Harris, several models have been developed and implemented in industry. Nowadays, the increasing complexity of inventory management advocates for inventory models that explicitly consider the uncertainty of process and data. In this context, fuzzy set theory can be employed to effectively and efficiently explain and incorporate uncertain data, and fuzzy-based systems can directly aid decision-making in the real world. Specifically, fuzzy methods and techniques can be properly adopted to formulate real patterns in inventory systems.

The aim of this special issue is to contribute to the exchange of progress and advancements in the state-of-the-art of fuzzy inventory management and control models, as well as the future directions in this area. We aim to collect the most recent outstanding theoretical and practical research to help and support academics and practitioners engaged in inventory management fields. The contributed papers will attempt to cover algorithms, methodologies and applications in mentioned areas to deal with practices, policies and strategies.

Both technical and survey/review papers are welcome. We will select high-quality papers that pay attention to new methodologies to deal with the emerging problems. Specifically, papers must demonstrate substantial new contributions, and authors must explicitly indicate the scientific advances compared to the previously published research literature.

Suitable topics include, but are not limited, to the following:
  • Fuzzy application of EOQ and EPQ rules
  • Uncertainty in supply chain management
  • Joint and multi-echelon inventory models
  • Newsvendor models
  • Reverse logistics and closed loop supply chain
  • Errors and asymmetric data in inventory control systems
  • Collaborative inventory models
  • Innovative replenishment rules
  • Performance evaluation in operations and supply chains
  • Management of uncertainties in inventory control system

Important Dates
Submission of Manuscripts: 31 May, 2017

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