Capacity analysis, cycle time optimization, and supply chain strategy in multi-product biopharmaceutical manufacturing operations

If this firm must make its investment decisions on flexible and on nonflexible capacity levels before the demand uncertainty is resolved, then our model provides

162 Products factors Cost Service level Bullwhip Effect Stores Retailer DC Supplier DC End-to- End Intrinsic factor Physical volume High Cross- docking Cross-

ةمئاق شلأا لجاو لاك لواد قحلالماو ةمـئاق :اثلثا قـــحلالما قرـ م حللما ـق حللما ــق ( قحللما 10 ) عيملما لوتربلا زاغ ةدح لامع ددع GPL ل ريوبلا ةنس 0100

In this research, we compared the traditional inventory and capacity pooling benefits and limitations to an AM enabled capacity pooling in spare parts provision context..

We also provide the optimal singular vectors of the precoding matrices that maximize the asymptotic mutual information : the optimal transmit directions represented by the

The above processes face several limits such as high cost of tool- ing and machinery for complex geometries, long and complex supply chain to lower tooling costs

They intro- duced dedicated ontology to semantically annotate logistics services using a three- layered model: (1) logistics ontologies providing foundation for