Salāmat-i kār-i Īrān (May 2020)

Weighing and Prioritizing the Eight Principles of Integrated Health, Safety, Environment and Energy Management in Industries Covered by the Ministry of Industry, Mining and Trade

  • Rasoul Yarahmadi,
  • Hamed Moridi,
  • Ali Asghar Farshad,
  • Fereshteh Taheri

Journal volume & issue
Vol. 17, no. 1
pp. 1 – 10

Abstract

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Abstract: Aim and Background: Today, with the growth of different dimensions of sustainable development, managers at the organizational and governmental levels have become more and more interested in the components of sustainable development. A healthy and productive human being is at the core of sustainable development. Many factors are contributing to sustainable development, including human, economic, social, industrial, cultural, as well as health, safety, environmental and energy (HSEE) factors. In this regard, the existence of several processing indicators is important in promoting the program and organizational goals at the micro and macro levels. Since continuous evaluation and monitoring of all indicators is not feasible, developing a set of principles to facilitate managerial decision-making processes and monitoring continuous improvement of systems is an important issue in system performance management. Due to the vital role of correct selection of principles in the sustainability of the integrated management system, it is important to consider the key components involved in this choice. The present study aimed to prioritize the HSEE processing indexes in the integrated management system (HSEE IMS) of the Ministry of Industry, Mining and Trade. Methodology: The statistical population of this study is professionals and experts with occupational health, safety, environment, and energy orientation and work experience. In this study, to obtain process, safety, health, environmental and energy processing indicators, firstly, a list of environmental, safety, health, and energy indicators was prepared and evaluated, by using a set of indicators presented in scientific and credible research and articles, the Iranian Environmental Agency, HSE Ministry of Oil, HSEE Ministry of Industry, Mine and Trade, including mining and industrial organizations, including Industrial Development and Renovation Organization of Iran (IDERO), Iranian Mines and Mining Industries Development and Renovation Organization (IMIDRO) and other sources. In the present study, being SMART is the main selection criterion for indices, which are weighted as the five main affecting criteria by the AHP method. Weighted criteria were used to prioritize the eight principles of HSEE management including policy, continuous improvement, do, check, monitoring, and measurement of the system, commitment and leadership, planning and corrective action using the fuzzy TOPSIS technique. Results: The results show that the executive strategic index with a closeness coefficient of 0.937 was selected as the first priority. Continuous improvement and corrective action with the coefficient of closeness of 0.133 and 0.108 were selected from the weaker priorities of the Eight HSEE indices, respectively. Conclusion: Appropriate selection of indicators to facilitate managerial decision-making processes, optimal monitoring of these indicators with maximum efficiency and minimum cost is possible by using multi-criteria decision-making models. Based on the results, sustainable development can be achievable by ranking and prioritizing the HSEE processing indicators to facilitate managerial decision-making processes and monitor continuous improvement of systems to protect individuals, property and reduce accidents and pollution. Keywords: Prioritization, HSEE, Sustainable Development, Fuzzy TOPSIS, Index, Weighting, AHP. Introduction Preventing health, safety, the environment, and energy injuries and accidents by taking into account the health, safety of employees, customers, contractors and others requires a unified management system structure. This system tries to create a healthy, pleasant and joyful environment free from accident, damage and waste by integration and synergy of human resources and facilities. The present study aims to key and prioritize strategic principles in the HSEE integrated management system of the Ministry of Industry, Mine and Trade to evaluate the performance based on specific processes in subsidiary industrial-productive units. Methodology In this study, to obtain safety, health, environmental, and energy processing indexes, firstly, a list of environmental, safety, health, and energy indicators was prepared and evaluated, by using a set of indicators presented in scientific and credible research and articles, the Iranian Environmental Agency, HSE Ministry of Oil, HSEE Ministry of Industry, Mine and Trade, including mining and industrial organizations, including Industrial Development and Renovation Organization of Iran (IDERO), Iranian Mines and Mining Industries Development and Renovation Organization (IMIDRO) and other sources. Then, the SMART metrics including specificity, measurability, achievability, realism and being timely have weighted as five effective criteria by the AHP. After keying the HSEE strategic indicators of the Ministry of Industry, Mining and Trade, including: policy, continuous improvement, do, check, system monitoring, commitment and leadership, planning and corrective action were selected. Initial questionnaire was prepared based on the fuzzy TOPSIS method and key indicators and research criteria. Then, the reliability (internal consistency) and validity of the questionnaire were assessed and finalized. After completing the questionnaires and receiving the information, the expertschr('39') answers in the form of verbal statements were transformed into triangular fuzzy numbers with the capability of analysis. In the present study, to obtain effective indicators for identification and evaluation of key indicators, the five SMART criteria were weighted based on the AHP method. After weighting the research criteria using the AHP method, this ratio is used for weighting the key indexes by the fuzzy TOPSIS method to rank and prioritize. Results The results show that the face validity and content validity of the questionnaire were determined by FVR = 78.08% and CVR = 88%, respectively which have acceptable validity based on Lawshe’s model. The reliability of the research questionnaire was estimated by the appropriate Cronbachchr('39')s alpha equivalent in 0.935, illustrating the intrinsic homogeneity of the evaluated indices. Regarding weighting results, research criteria, weighting criteria and indices are presented in Tables 1-2. Table1. Final weight of criteria by the AHP method Realism Achievability Timely Specificity Measurability Criterion 0.300 0.203 0.135 0.231 0.341 Final Weight Table 2. Closeness coefficient and rank of HSEE processing indicators of Ministry of Industry, Mine and Trade Ranking CCi Criterion Commitment and Leadership 0.491 3 Policy 0.403 4 Planning 0.226 5 Do 0.937 1 Monitoring 0.699 2 Check 0.193 6 Corrective Action 0.108 8 Continuous Improvment 0.133 7 Conclusion Appropriate selection of indicators to facilitate managerial decision-making processes, optimal monitoring of these indicators with maximum efficiency and minimum cost is possible using multi-criteria decision-making models. This study aimed to weight, key and prioritize HSEE process indicators for the first time in Iran at the level of the largest executive-economic system. According to the results of the study, due to the high speed and efficiency of HSEE units in subsidiary organizations, do index (CCi = 0.937) was first priority and continuous improvement (CCi = 0.133) and corrective actions (CCi = 0.108) were found as the weakest priorities of the HSEE eight indicators because of weaknesses in the regular and systematic follow-up of regulatory units or lack of appropriate tools to evaluate these indicators. The results of this study showed an interesting convergence between the weight and prioritization of SMART criteria of strategic indicators of Ministry of Industry, Mine and Trade. This conclusion can help managers select key performance indicators based on SMART criteria and help them choose sustainability indicators that prevent wasting time and cost.

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