HSE management system performance measurement by using lead and lag key performance indicators technique in selected food products industry
Introduction: Most of industries over the world are making effort to reduce occupational illnesses, accidents and near misses, financial and environmental losses considerably with preventive approach based on human, financial and environmental resources conservation issue. Therefore, HSE units have been established step by step in different industries and contributing with each other integratedly. Thus, HSE unit’s performance rate or level is significant in considered with their important role and it is required to be measured and reviewed regularly.
Materials and Methods: In this study lead and lag performance indicators new technique with “analytic hierarchy process” (AHP) and “key performance indicators” (KPI) have been used in order to measure HSE management system performance level in a selected food products company which including three main steps: measurement criteria’s determination in three health, safety and environment scopes, using AHP technique to determine importance rate and scoring them in two lead and lag groups, calculating deviation frequency and severity parameters, reward factor in two lead and lag groups and finally HSE management system performance level score determination in every 5 year period.
Results: The results have indicated HSE management system performance level in meet products section of food products company had gradual progress in last 5 years and considered relatively good on average and also dairy products section in spite of better performance rather than meet products section and having faster progress trend, had a considerable drop in last year because of one accident took place in 1398 and consequently placed in weak performance level in that year.
Conclusion: KPIs leading and lagging indicators could be used with multi criteria decision making methodologies to evaluate HSE management system performance and it is significant what indicators selected and categorized into leading and lagging parts.
 Naseri A, Sepehri M, Mahmoudi Sh, Strategic performance evaluation of health, safety and environment (HSE) based on balanced scorecard (BSC), the case study of a corporation in energy industry, Journal of Iran Occupational Health, 2014; 11: 79-94.
 Cadieux J, Roy M, Desmarais L, A perliminary validation of a new measure of occupational health and safety, Journal of safety research, 2006; 37: 413-419.
 Duijm NJ, Fievez C, Gerbec M, Hauptmanns, U, Konstandinidou M, Management of health, safety and environment in process industry, Journal of Safety Science, 2008; 46: 908-920.
 Azadeh A, Hasani Farmand A, Jiryaei Sharahi Z, Performance assessmnet and optimization of HSE management systems with human error and ambiguity by an integrated fuzzy multivariate approach in a large conventional power plant manufacturer, Journal of Loss Prevention in the Process Industries, 2012; 25: 594-603.
 Kang J, Zhang J, Gao J, improving performance evaluation of health, safety and environment management system by combining fuzzy cognitive maps and relative degree analysis, Journal of Safety Science, 2016; 87: 92-100.
 Mohammadfam I, Shekari A, Khosrojerdi AH, (2008), Presentation of a model for HSE system performance measurement based on EFQM excellence model, Journal of Environmental Science and Technology, 2008; 10: 1-10.
 Farshad A, Khosravi Y, Alizadeh S, The role of HSE management System in improving health, safety and environment performance in an oil organization, Journal of Iran Occupational Health, 2006; 3: 6-11.
 Barkhordari A, Dehghani A, Kianfar A, Mahmoudi S, Aminifard F, Safety performance evaluation using proactive indicators in a selected industry, Journal of Occupational Health Engineering, 2015; 1: 49-59.
 John Reh F, The basics of key performance indicators (KPI), Retrieved October 05, 2017, from https://www.thebalance.com/key-performance-indicators 2275156
 Malekakhlagh E, Poureisa A, Nabizadeh SA, Evaluating the performance of the sales force on KPI with the data envelopment analysis (DEA), Journal of Development Evolution Management, 2016; 8: 25-34.
 Saberi Varzaneh M, Salajegheh A, preventing key performance indicators violations based on proactive runtime adaption in service-oriented environment, International Journal of Engineering, 2016; 29: 1539-1548.
 Rahmanpour M, Osanloo M, (2016), Resilient decision making in open pit short-term production planning in presence of geologic uncertainty, International Journal of Engineering, 2016; 29: 1022-1028.
 Parthasarathi R, Govindasamy V, Akila V, Surendar R, Saranraj K, Suresh S, Dependency analysis for preventing kpi violation based on decision tree learning, International Journal of Engineering Research and Technology, 2016; 2: 799-804.
 Amir-Heidari P, Maknoon R, Taheri, B, Bazyari, M, A new framework for HSE performance measurement and monitoring, Journal of Safety Science, 2016; 100: 157-167.