Title: Identifying productivity indicators from business strategies' surveys

Authors: Kongkiti Phusavat; Sansanee Nilmaneenava; Rapee Kanchana; Christian Wernz; Petri Helo

Addresses: Center of Advanced Studies in Industrial Technology, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand ' Center of Advanced Studies in Industrial Technology, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand ' Department of Industrial Engineering, Rajamangala University of Technology Thanyaburi, Pathumthanee 12110, Thailand ' Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA ' Department of Production, University of Vaasa, FIN-65101 Vaasa, Finland

Abstract: This study aims to identify suitable productivity indicators derived from a firm's operational and supplier-selection strategies. The correlation and multiple regression techniques are applied for the analysis of surveys' responses. There are many useful results such as when focusing on flexibility as its primary operational strategy and delivery and management as key strategies for supplier selection in maintenance services, mean time to repair should be an important productivity indicator. Finally, the research's limitations are recognised with some recommendations for future studies in the areas of productivity measurement. This study is sponsored by Thailand's Department of Industrial Work to help promote productivity measurement and the cluster concept.

Keywords: productivity measurement; manufacturing strategy; cluster concept; productivity indicators; supplier selection; flexibility; maintenance services; mean time to repair; Thailand; clusters.

DOI: 10.1504/IJPQM.2012.045190

International Journal of Productivity and Quality Management, 2012 Vol.9 No.2, pp.158 - 176

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 30 Jan 2012 *

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