The mismatch between supply and demand always exists within the supply chain and among retail stores. This situation is even worse for SMEs who work without state-of-the-art technologies, especially in terms of quantitative demand and size distribution in fashion industry. In this paper, we...

Purpose – Managing perishable inventories is a trade‐off of shortages and lost sales against wastage. This paper aims to identify what drives good management of perishables within the supply chain using the example of blood inventory management in hospitals. Design/methodology/approach –...

Purpose – This paper seeks to develop a specified typology of various levels of semantic interoperability, designed to provide semantically expressive and functional means to interconnect typologically different sub‐systems in an international comprehensive knowledge organization system,...

In this article a proposal of a non‐traditional methodology in achieving optimal flexibility with minimal inventory risk will be applied. The non‐traditional methodology will be able to achieve different levels of the production schedule changes with maximum flexibility and minimal inventory...

Purpose – The paper aims to help identify the best logistical practices and to implement them with minimal organizational resistance in an environment with relatively similar business units utilizing an internal benchmarking approach. Design/methodology/approach – A stepwise benchmarking...

Purpose – The topic of this paper strikes the golden mean rather than the extreme ones. The purpose is to describe frameworks and processes that strive to balance and unite conceptual opposites (so‐called “halves”) of the reality spectrum in different areas of literature....

Clustering is the process of analyzing data to find clusters of data objects that are similar in some sense to one another. Some research studies have also extended the usage of clustering concept in inventory management. Yet, not many research studies have considered the application of...

Temporal association rule mining is a data mining technique in which relationships between items which satisfy certain timing constraints can be discovered. This paper presents the concept of temporal association rules in order to solve the problem of classification of inventories by including...

A modified framework that applies temporal association rule mining to inventory management is proposed in this article. The ordering policy of frequent items is determined and inventory is classified based on loss rule. This helps inventory managers to determine optimum order quantity of...

Purpose – The paper aims to analyse research conducted for assessing the current state of supply chain management practices followed by Indian organisations and identifying important areas that need to be addressed in order to increase their competitiveness. Design/methodology/approach – The...