Decision making in process-aware information systems involves build-time and run-time decisions. At build-time, idealized process models are designed based on the organization's objectives, infrastructure, context, constraints, etc. At run-time, this idealized view is often broken. In...

Statistical process control is an excellent quality assurance tool to improve the quality of manufacture and ultimately scores on end-customer satisfaction. SPC uses process monitoring charts to record the key quality characteristics (KQCs) of the component in manufacture. This paper elaborates...

The define–measure–analyze–improve–control (DMAIC) approach is a five-strata approach, namely DMAIC. This approach is the scientific approach for reducing the deviations and improving the capability levels of the manufacturing processes. The present work elaborates on DMAIC approach...

The automated enactment of processes through the use of workflow management systems enables the outsouring of the control flow from application systems. By now a large number of systems, that follow different workflow paradigms, are available. This leads to the problem of selecting the...

This paper presents ways for senior researchers to help future doctoral students in Operations Management (OM) to overcome multiple challenges in: (a) conducting relevant research while demonstrating greater rigor, and (b) exploring multi-disciplinary research projects while mastering a single...

High-density polyethylene (HDPE) pipes find versatile applicability for transportation of water, sewage and slurry from one place to another. Hence, these pipes undergo tremendous pressure by the fluid carried. The present work entails the optimization of the withstanding pressure of the HDPE...

This paper first enlists the generic problems of alloy wheel machining and subsequently details on the process improvement of the identified critical-to-quality machining characteristic of A356 aluminum alloy wheel machining process. The causal factors are traced using the Ishikawa diagram and...

This forum paper examines the past and the future of Operations Management (OM) research.First, we investigate the evolution of OM research from 1997 to 2018 by using machine learning tools to analyze all OM papers published in five journals (JOM, MS, M&SOM, POM, and OR), and find that the...