Finite Capacity Scheduling: Optimizing a Constrained Supply Chain by Bill Kirchmier
Finite Capacity Scheduling: Optimizing a Constrained Supply Chain by Bill Kirchmier PDF, ePub eBook D0wnl0ad
Finite Capacity Scheduling: Optimizing a Constrained Supply Chain introduces the reader to a critical tool for driving enterprise and supply chain competitive excellence. It teaches the reader how to beat the competition by: · Reducing in-stock inventory and inventory cost · Reducing logistics costs · Increasing on time delivery which increases customer satisfaction · Reducing stock-outs · Improved Supply Chain and Enterprise scheduling and load balancing This book’s focus is on scheduling and coordinating demand for Material, Labor, Machine resources and balancing them with available Capacity. Finite Capacity Scheduling identifies an executable balance between resource demand and resource availability; all while coordinating shipments to Supply Chain management systems. FCS schedules everything from HMLV systems and components to HVLM production items; all this while interfacing with enterprise-wide ERP systems. This book: · Shows how FCS optimizes resource scheduling options; including material, equipment, personnel, tools, etc.; anything that creates a constraint on throughput. · Describes how to seamlessly integrate FCS and ERP in a single database · Explains how FCS effectively coordinates material and capacity resources · Shows how FCS delivers feasible Finite Scheduling for Material and Capacity · Schedules work based on actual material and capacity availability · Supports interfacing ERP production with Supply Chain Management systems. · Explains how and why FCS offers feasibility and flexibility The book is a comprehensive guide to understanding, implementing and managing material and capacity resources for the full Supply Chain Management Spectrum of production scheduling applications including complex High Mix Low Volume (HMLV) and simplistic High Volume Low Mix (HVLM) production environments.From reader reviews:
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