Purpose: Established approaches to supply chain management are increasingly being challenged due to disruptive events that neglect the dynamics and interdependencies of supply chains. Supply ecosystems form a new theoretical view of the supply chain that is more in line with systemic thinking,...

Purpose: Through increasing individualization, volatile market demands or shorter product and innovation cycles, existing assembly systems in the automotive industry reach their limits. Different approaches are designed to address the need for adaptable systems. The Fluid Manufacturing System...

Purpose: The automation of picking is still a challenge as a high amount of flexibility is needed to handle different articles according to their requirements. Enabling robot picking in a dynamic warehouse environment consequently requires a sophisticated object detection system capable of...

Purpose: This analysis aims to develop a conceptual framework for the adoption of blockchain-based solutions in maritime logistics. Using the application area of maritime cold chains, we examine which characteristics are crucial for the use of blockchain and which requirements need to be met for...

Purpose: Smart contracts are transaction programs with an “if-then logic” in relation to the blockchain technology and offer new possibilities for production control. Smart orders are derived from production orders and they are based on smart contracts. Therefore, they are created with the...

Purpose: This publication investigates preliminary data quality analyses to estimate the efforts and expected results of the use of data sets for ML solutions already in the data understanding phase of an implementation. Knowledge about the necessary data cleaning efforts and result qualities...

Purpose: To adjust the inventory supply planning, through digital transformation that allows automation and tracking of demand behavior in real time and with low cost tool. Methodology: The collected database is loaded into an Excel along with the required input variables in each of the...

Purpose: Our research emphasizes the importance of considering outliers in production logistics tasks. With a growing amount of data, we require data mining to cope with these tasks. We underline that the widespread exclusion of outliers in data pre-processing for data mining leads to a loss of...

Purpose: Object detection is rapidly evolving through machine learning technology in automation systems. Well prepared data is necessary to train the algorithms. Accordingly, the objective of this paper is to describe a re-evaluation of the so-called Logistics Objects in Context (LOCO) dataset,...

Purpose: Traffic volume in empty container depots has been highly volatile due to external factors. Forecasting the expected container truck traffic along with having a dynamic module to foresee the future workload plays a critical role in improving the work efficiency. This paper studies the...