Prisma, a Finnish Hypermarket Chain, Used Efficiency Analysis to Improve Performance

Pekka J. Korhonen, Nasim Nasrabadi (), Aapo Siljamäki () and Jyrki Wallenius ()
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Pekka J. Korhonen: Department of Information and Service Management, School of Business, Aalto University, Aalto, 00076 Helsinki, Finland
Nasim Nasrabadi: Department of Mathematics, University of Birjand, Birjand 9717434765, Iran
Aapo Siljamäki: Department of Information and Service Management, School of Business, Aalto University, Aalto, 00076 Helsinki, Finland
Jyrki Wallenius: Department of Information and Service Management, School of Business, Aalto University, Aalto, 00076 Helsinki, Finland

Interfaces, 2026, vol. 56, issue 2, 178-192

Abstract: Prisma, a Finnish hypermarket chain, grew significantly during the 1990s but faced tough competition from other chains, requiring a competitive strategy. The strategy required metrics to be developed, incorporating multiple output and input measures and an efficiency analysis of the individual stores based on these metrics. During the project, multiple operations research tools were used to improve company performance, including multivariate statistics, data envelopment analysis and some of its extensions (notably, value efficiency analysis), and multiple-objective linear programming. We focus on what we consider the most interesting parts of the application and our involvement in the process.

Keywords: retail industry; data envelopment analysis; value efficiency analysis; ranking (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:56:y:2026:i:2:p:178-192

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