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Design Science (DS) is a relatively new paradigm for addressing complex real-world problems through the design and evaluation of artifacts. Its constituent methodologies are currently being discussed and established in numerous related research fields, such as information systems and management (Hevner et al., 2004). However, a DS methodology that describes the “how to” is largely lacking, not only in the field of OM but in general. The Theory of Constraints (TOC) and its underlying thinking processes (TP) have produced several novel artifacts for addressing ill-structured real-world operations problems (Dettmer, 1997; Goldratt, 1994), but they have not been analyzed from a DS research standpoint. The purpose of this research is to demonstrate how TOC’s thinking process methodology can be used for conducting exploratory DS research in Operations and Supply Chain Management (OSCM).

A case study of spare parts replenishment illustrates the use of TOC’s thinking processes in DS to structure an initially unstructured problem context and to facilitate the design of a novel solution.

TOC’s thinking processes are an effective methodology for problem-solving DS research, enabling the development of novel solutions in initially unstructured and wicked problem situations. Combined with structured CIMO design logic TOC’s thinking process offers a systematic method for exploring wicked problems, designing novel solutions, and demonstrating theoretical contributions.

The implication for research is that TOC’s thinking process methodology can provide important elements of the lacking “how to” methodology for DS research, not only for the field of OM but in general for the field of management.

The practical outcome of the research is a novel design for dynamic buffer-based replenishment that extends beyond organizational boundaries.

This work shows how the thinking processes can be used in DS research to develop rigorous design propositions for ill-structured problems.

The purpose of this paper is to explore different units of analysis applicable to the analysis of healthcare service supply chains.

The paper is based on a literature review, conceptual analysis and two case studies based on process mapping and longitudinal analysis of patient episodes.

Process management is appropriate in situations where there is a structured flow with a sufficient volume of similar repetitions. In the case where there are significant amounts of exceptions, a process can be decomposed into service events that can be defined and managed as part of a supply chain.

The cases are based on data sets that do not allow empirical generalization.

The use of longitudinal patient episode data elicits problems in the process flow, such as delays and variable sequences. The use of events as a unit of analysis enables routinization in situations with exceptions and irregular sequences.

The service event is an original concept that links healthcare operations management to service‐oriented architectures and the service‐dominant logic.