PurposeDespite appearing in the literature over 10 years ago as a potentially exciting cost management technique, there is still limited agreement about the nature of target costing. The purpose of this study is to explore the characteristics of target costing, and to test whether these characteristics were adopted in three European companies that used target costing.Design/methodology/approachThis paper draws on case study data, collected at three manufacturing companies (consumer electronics, machinery, and transportation equipment).FindingsThe paper identifies eight characteristics of target costing, based on the early Japanese case descriptions. These characteristics are related to the way a target is set and how progress towards that target is measured. The findings of the case studies confirm these characteristics. However, some differences were found regarding the interpretation of the strict rule that “the target cost cannot be exceeded at product launch”.Research limitations/implicationsThe results indicate that future research on the adoption of target costing cannot be disconnected from its characteristics. Further studies might investigate whether degree of openness to suppliers, leadership position, time pressure and position in the supply chain can explain the noted differences in characteristics among companies.Practical implicationsThe characteristics identified in this paper provide an aid to researchers and managers considering target costing. Detailed case descriptions provide best practices examples for other companies.Originality/valueThis study is the first empirical paper concerned with describing the typical characteristics of target costing. By exploring the characteristics, we hope to inspire others to further explore this interesting phenomenon.
State estimation plays a key role in the transition from the passive to the active operation of distribution systems, as it allows to monitor these networks and, successively, to perform control actions. However, designing state estimators for distribution systems carries a significant amount of challenges. This is due to the physical complexity of the networks, e.g., phase unbalance, and limited measurements. Furthermore, the features of the distribution system present significant local variations, e.g., voltage level and number and type of customers, which makes it hard to design a "one-size-fits-all" state estimator. The present paper introduces a unifying framework that allows to easily implement and compare diverse unbalanced static state estimation models. This is achieved by formulating state estimation as a general constrained optimization problem. The advantages of this approach are described and supported by numerical illustration on a large set of distribution feeders. The framework is also implemented and made available open-source.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.