Manufacturing strategy is a plan for moving a company from where it is to where it wants to be. Determining the best manufacturing strategy is not easy because of the wide range of choices and constraints a company faces. Manufacturing strategy frameworks or models are helpful because they identify the objects that comprise manufacturing strategy and organize these objects into a structure that...

A mozzarella cheese factory using an undefined, milk-derived Streptococcus thermophilus starter system was monitored longitudinally for 2 years to determine whether the diversity of the resident bacteriophage population arose from environmental sources or from genetic changes in the resident phage in the factory. The two hypotheses led to different predictions about the genetic diversity of the...

Factory (87) Imagine a manufacturer producing interior design parts --lights, cabinets, tables. The company produces each part in two styles and has a factory for each style: a Traditional Asian Factory (ConcreteFactory1) and a Contemporary European Factory (ConcreteFactory2). Both provides exactly the same part types (e.g. a Door; AbstractProductA), but using completely different methods to ar...

OBJECTIVES Poverty reduction interventions through cash transfers and microcredit have had mixed effects on mental health. In this quasi-experimental study, we evaluate the effect of a living wage intervention on depressive symptoms of apparel factory workers in the Dominican Republic. SETTING Two apparel factories in the Dominican Republic. PARTICIPANTS The final sample consisted of 204 ho...

A Neutrino Factory, sending > 10 20 decay neutrinos per year from a high-energy stored muon beam towards remote detectors, has been suggested as the ultimate tool for precision measurement of the neutrino mixing matrix. Following two rounds of design studies that focused primarily on feasibility, the latest such study has begun the process of cost optimization. New ideas include muon 'phase rot...

To be useful in practice, a factory production schedule must reflect the influence of a large and conflicting set of requirements, objectives and preferences. Human schedulers are typically overburdened by the complexity of this task, and conventional computer-based scheduling systems consider only a small fraction of the relevant knowledge. This article describes research aimed at providing a ...