Innovative Approaches to High-Level End-to-End Supply Chain Planning: Large Bucket Lot Sizing Strategies for Multifaceted Integration and Optimization

Abstract

High level end-to-end supply chain production and logistics planning capable to consider a multifaceted integration of production, inventory management, supply, and transportation subject to multiple constraints is becoming feasible because of algorithms evolution and computational availability. The primary objective of this study is to devise an innovative approach based on large bucket lot sizing planning entailing the need for a streamlined process that meets the market demand and optimizes aggregate resources, as well as economic and financial aspects before tactical master production scheduling. The study comprises end-to-end supply chain dynamics analysis and provides algorithmically approach and experimental application domain.