This paper explores how integrated Manufacturing Planning & Control (MPC) systems transform operational performance. Using a framework aligned with leading MPC models (including contributions from scholars like Thompson, where applicable), we analyze the shift from reactive scheduling to proactive, data-driven decision-making. Key findings highlight that successful MPC requires closed-loop feedback between production activity control, master production scheduling, and demand management. A case study of a mid-sized automotive parts supplier demonstrates a 22% reduction in lead times and 15% lower inventory costs after implementing an MPC system. The paper concludes with a five-step roadmap for practitioners and identifies emerging trends—AI in forecasting, digital twins, and sustainable production planning.
Focuses on resource planning and capacity decisions, such as physical plant size or entering new markets. tresa thompson manufacturing, planning, & control pdf
Tresa Thompson’s approach structures this into three primary phases: This paper explores how integrated Manufacturing Planning &
If you are utilizing the PDF version of her work, pay special attention to the diagrams illustrating the feedback loops between the planning horizon and the execution horizon—it is in those loops that the efficiency of modern manufacturing is truly won. A case study of a mid-sized automotive parts
What sets resources like the Tresa Thompson PDF apart is the focus on . In many organizations, sales, engineering, and production operate in silos. Thompson’s framework illustrates that MPC is the glue that holds these departments together.
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