Abstract: Production planning (also often referred to as 'lot-sizing') problems are an essential part of any manufacturing system, with significant potentials for cost savings and more streamlined production processes. As we are approaching the 60th anniversary of the seminal paper by Wagner and Whitin (1958), I will aim to provide a brief review of the area, not to provide rigorous technical details but rather present ideas and approaches in higher level, which may be beneficial to a broader range of mixed integer programming problems. More recent developments will be also discussed, with a specific focus on two distinct areas: investigating the underlying difficulties when multiple products share resources in a deterministic setting, and developing effective robust reformulations for remanufacturing problems with uncertainties. Some recent and preliminary results will be presented to conclude the talk.
Bio: Kerem Akartunali is a Senior Lecturer (Associate Professor) in the Department of Management Science at Strathclyde Business School (Glasgow, UK), and also holds a Visiting Professor position at Institute of Mathematics and Computer Science (ICMC-USP) of University of São Paulo (Brazil). After completing his Ph.D. in 2007 at the University of Wisconsin-Madison (USA) on lot-sizing, he worked as a postdoctoral research fellow in the Department of Mathematics and Statistics at the University of Melbourne (Australia) on airline planning and scheduling problems. Kerem’s research expertise lies primarily in integer programming and its applications, in particular in lot-sizing, transportation scheduling/planning, radiation treatment planning optimization and nurse rostering. Kerem's research has been funded by various bodies/organizations including EPSRC, Scottish Funding Council, Capita and US Air Force Office of Scientific Research. He is an active member of INFORMS, Mathematical Optimization Society, and The OR Society. He worked with many organizations, including First Milk, NHS, Scottish Power, Scottish Southern Energy and Technip, in a variety of projects ranging from short-term consultancy to long-term research partnerships.