Metadata-Version: 2.1
Name: logistigate
Version: 0.1.0
Summary: python implementation of logistigate for supply-chain aberration inference
Home-page: https://github.com/eugenewickett/logistigate
Author: Eugene Wickett, Karen Smilowitz, Matthew Plumlee
Author-email: eugenewickett@u.northwestern.edu
License: UNKNOWN
Description: # logistigate
        python implementation of logistigate
        
        Overview of logistigate
        ----------------
        Generally speaking, the logistigate methods infer aberration likelihoods at
        entities within a two-echelon supply chain, only using testing data from sample
        points taken from entities of the lower echelon. It is assumed that products
        originate within the system at one entity of the upper echelon, and are
        procured by one entity of the lower echelon. The likelihood of a lower-echelon
        entity obtaining product from each of the upper-echelon entities is stored in
        what is deemed the "transition matrix" for that system. Testing of products at
        the lower echelon yields aberrational (recorded as "1") or acceptable ("0")
        results. We then distinguish possible information-availability settings into
        two categories, Tracked and Untracked:
         - In the Tracked case, both the upper-echelon and lower-echelon entities
             traversed by the tested product are known upon testing.
         - In the Untracked case, only the lower-echelon entity is entirely known, in
             addition to the system's transition matrix.
        It is further assumed that products are aberrational at their origin in the
        upper echelon with some entity-specific fixed probability, and that products
        acceptable at the upper echelon become aberrational at the destination in the
        lower echelon with some other entity-specific fixed probabiltiy. It is these
        fixed probabilities that the logistigate methods attempt to infer.
        
        More specifically, the logistigate methods were developed with the intent of
        inferring sources of substandard or falsified products within a pharmaceutical
        supply chain. Entities of the upper echelon are referred to as importers, and
        entities of the lower echelon are referred to as outlets. This terminology is
        used interchangeably throughout the logistigate package.
Keywords: supply chains,statistical inference,pharmaceutical regulation
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3
Description-Content-Type: text/plain
