Serra, D. (2013). Implementing Turf analysis through Binary Linear Programming, Food Quality and Preference, 28(1), 382-386
This paper introduces the approach of using Total Unduplicated Reach and Frequency analysis (TURF) to design a product line through a binary linear programming model. This improves the efficiency of the search for the solution to the problem compared to the algorithms that have been used to date. The results obtained through our exact algorithm are presented, and this method shows to be extremely efficient both in obtaining optimal solutions and in computing time for very large instances of the problem at hand. Furthermore, the proposed technique enables the model to be improved in order to overcome the main drawbacks presented by TURF analysis in practice.
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Daniel Serra is Full Professor at Pompeu Fabra University’s Department of Economics and Business. He graduated in 1984 in Economics from the University Autonoma of Barcelona, and obtained a Master in Systems Analysis and a PhD in the Whiting School of Engineering at Johns Hopkins University in 1989. His fields of specialization are logistics and quantitative methods in management.
Prof. Daniel Serra teaches Quantitative Methods at the Barcelona School of Management