In this paper, the authors elaborate the notion of a hybrid factory: factories in which some production capacity is dedicated to process-oriented manufacturing, and some is dedicated to product-oriented manufacturing. We present the results of a field study of one such factory and, using it as an example, develop a list of eight issues that may arise as a part of implementing and managing a hybrid factory. Where possible, we tie these issues into existing research streams. We show how our field site addressed these issues and, based on their experience, suggest new areas for investigation by researchers. An examination of the way our field site implemented and managed a hybrid factory also provides insight for managers facing similar situations.

PurposeVertical lift (VL) assets are vital and expensive resources in humanitarian missions. What and where supplies are needed evolves in short time following a disaster. The purpose of this paper is to offer analysis to understand the range of capabilities of these assets.Design/methodology/approachThe authors use scenario analysis to investigate the tradeoff between two key capabilities of VL, agility and speed. The authors do this by generating loads and distances randomly, based on historical data. In post hoc analysis, based on different factors, the authors investigate the impact of configuration of Expeditionary Strike Force (ESG) on providing disaster relief.FindingsThe authors find the most effective deployment of VL in a HADR mission is in supplying essentials to victims in a focused region. Delivering sustainment requirements leads to substantial shortfall for survival needs. If the configuration of the ESGs were changed for HADR, it would better-meet the demand.Research limitations/implicationsCargo capacity is modeled assuming every aircraft type was equal, in terms of mean and variance of cargo-capacity utilization. Detailed information on cargo-bay configurations was beyond the scope of our model and data. However, this means the benefit of standardizing cargo load-outs and the variability associated with randomized load-outs may be understated in the results.Practical implicationsThe analysis presents decision-makers with projections of VL asset performance in the early stages of disaster relief, to assist in planning and contingency planning.Originality/valueThis research deals exclusively with the most critical but expensive capabilities for HADR: VL. The in-depth analysis illustrates the limitations and benefits of this capability.