This paper explains concepts underlying a just-in-time production system. Just-in-time production systems as implemented by Toyota are pull systems in which ‘kanban’ convey the need to replenish the right inventory at the right time and in the right amount. In this paper, symbols from manufacturing are introduced to map resource flows in order to help distinguish traditionalfrom lean production...

background: depression is a kind of sorrow that decreases the level of juiciness. most studies have maintained that psy­chological risk factors have the most profound effect on the development of postnatal depression (pnd). we compared the postnatal depression among the women with elective caesarean and vaginal delivery.  methods: this cross- sectional study was carried out on 120 women 1-4 mon...

To increase cell concentration and the production of alkaline protease, fed-batch cultures with standard medium (1x) or concentrated medium (2x or 5x) as feed were performed. In a fed-batch culture with standard medium as feed, the biomass concentration reached 9.6 g L–1 and the protease activity obtained was 8500 U mL–1 compared to 3000 U mL–1 obtained by growing Teredinobacter turnirae cells ...

An unconventional modelling methodology based on artificial neural networks is proposed to rapidly develop a model from data obtained during different batch experiments. The objective of the global predict time evolution concentrations all species present in reaction medium. For this, recurrent are elaborated estimate particular as function operating parameters and then assembled complex model....

The scheduling of (parallel) serial-batch processing machines is a task arising in many industrial sectors. In the metal-processing industry for instance, cutting operations are necessary to fabricate varying metal pieces out large base slides. Here, (cutting) jobs have individual, arbitrary slide capacity requirements (sizes), individual times and due dates, specific material (i.e. each job be...

The batch-to-batch model-based iterative optimal control strategy for batch processes is realized based on multilayer recurrent fuzzy neural network (MRFNN) and chaotic search. MRFNNs are used to model batch processes. Modeling and optimization problems are mainly solved by chaotic search. Due to model-plant mismatches and disturbances, the calculated optimal control profile may not be optimal ...