Due to their importance in industry and mathematical complexity, dynamic demand lot-sizing problems are frequently studied. In this article, we consider coordinated lot-size problems, their variants and exact and heuristic solutions approaches. The problem class provides a comprehensive approach...

This research studies master production schedule (MPS) and advanced order commitment (AOC) in two-stage supply chains. Experimental analysis, based on computer simulation, evaluates the impact of environmental and MPS design factors on optimal policy design as measured by schedule cost and...

Purpose – The objective of this paper is to develop a comprehensive model of supply chain and supply chain decision‐making complexity that provides an understanding of the drivers of supply chain complexity and strategies to manage supply chain and supply chain decision‐making complexity...