美国的一个仓库管理系统（PPT 63页）.pptVIP

Outline The problem The current solution The need A new solution How it works Internet deployment and results to date Future directions Performance Assessment How well are you performing? Do you have opportunities to improve? Warehouse Operations Single Factor Productivity Metrics Traditional Performance Metrics Fill rate Inventory turns Lines/hour Orders/hour $/line $/order Work ok when Requirements are not changing Technology is not changing Competition is not changing But in a dynamic world … Can’t compare over time Can’t compare across locations Can’t compare to other companies At least not without a lot of additional explanatory data and information! Benchmarking Relative performance level {Best (effective) practices} The Need Total Factor Productivity? Can’t solve the pricing problem Data Envelopment Analysis System-based assessment method Resources: capital, labor, overhead Activities: inbound, order fulfillment Services: lines/qty shipped, fill rate, etc Compare to other warehouses Production Function Theoryfor one input, one output System Efficiency Concept DEA Model: Charnes, Cooper, and Rhodes Data Envelopment Analysis Allows us to consider multiple “inputs” Allows us to consider multiple “outputs” Determines the reference point on the production function by constructing a hypothetical “best practices” warehouse using real warehouse data Best possible* not average* * from data Input/Output Specification(the Frazelle/Hackman model) Web-based Tool Results to Date Experience Existing database More than 150 warehouses Not segmented by industry (yet) No “descriptive” data to use for segmenting Can segment based on inputs and outputs Output Segmentation broken case: 49 full case: 32 pallet: 13 mix: 65 total: 159 Input-oriented, all 159 together Broken Case, Input EfficiencyCompared to All (49/159) Broken Case, Input EfficiencyCompared Within (49/49) Pick Rate for Broken Case Picking Full case, Input Efficiency Compared to All (32/159) Full case, Inp