Detecting anomalous behavior can be of critical importance in an industrial application context: While modern production sites feature sophisticated alarm management systems, they mostly react to single events. In the context of process industries and heterogeneous data sources, we model sequential alarm data for anomaly detection and analysis, based on first-order Markov chain models. We outli...

The term “plant-friendly” system identification has been used within the chemical process control research community in reference to the broad-based goal of accomplishing informative identification testing while meeting the demands of industrial practice. While many different identification topics (such as control-relevant identification, closed-loop identification and optimal input design) can...

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Procedures are a common knowledge form in process industries such as refineries. A typical refinery captures hundreds of procedures documenting actions that operators must follow. Maintaining the action-knowledge contained in these procedures is important because it represents a key organizational asset that can be leveraged to minimize the threat of accidents. We develop an approach that extra...

Inventory optimization remains one of the key challenges in supply chain management. Typically, large amounts of working capital are tied up in today’s supply chains, restricting the opportunities for growth and impairing profitability. Furthermore, reported inventory figures become more and more important indicators for investors and other external stakeholders when assessing the efficiency an...

A kind of virtual plant laboratory system for process systems engineering education and research is developed, which is deemed an effective and applicable tool. The proposed system consists of pilot tanks, package simulation software of unit operation and a real enterprise information system including DCS, management database and MES (manufacturing execution system). Particularly, positive effe...

Batch production plants provide a wide range of scheduling problems. In pharmaceutical industries a batch process is usually described by a recipe, consisting of an ordering of tasks to produce the desired product. In this research work we focused on pharmaceutical production processes requiring the culture of a microorganism population (i.e. bacteria, yeasts or antibiotics). Several sources of...

This paper presents a computing architecture suitable for the information information management and the demanding calculations of the supply chain. A grid architecture is proposed for distributed computations for simulation studies, integrated software applications, process synthesis, and large-scale optimisation. The proposed network features numerous advantages over traditional, monolithic s...

Control charting is synonymous with statistical process control (SPC). However, the traditional control chart assumption of data independence is often violated in process industries. This problem has been analyzed and necessary modifications to the widely used SPC tools have been suggested. The performances of the modified estimators and proposed control schemes have also been studied, through ...

The process industries — those firms that add value by mixing, separating, forming andror chemical reactions by either batch or continuous mode — continue to lag behind the discrete industries in the identification and implementation of Ž . effective production and inventory management P&IM techniques. A contributing factor is that the process industries have traditionally been lumped together ...