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Ambarwati R, Yuliastri D, Sulistiyowati W. Human resource risk control through COVID-19 risk assessment in Indonesian manufacturing. J Loss Prev Process Ind 2021; 74:104665. [PMID: 34720455 PMCID: PMC8545779 DOI: 10.1016/j.jlp.2021.104665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 10/14/2021] [Accepted: 10/17/2021] [Indexed: 12/13/2022]
Abstract
The COVID-19 outbreak that began at the end of 2019 brought a crisis impact on the health sector and other sectors such as the economy, social and politics. Human resource problems that emerged as a result of the pandemic made every company strive to protect employee safety. The food and beverage sector is one of the industries maintained to continue operating despite the large-scale social restrictions imposed in several regions, including an instant food company in East Java. This study aims to identify and determine human resource risk control to support employee productivity during the COVID-19 pandemic. This research used qualitative data based obtained through interviews, observation, and documentation. The method in this study used a combination of Failure Mode Effect Analysis (FMEA) and Bow Tie to identify, measure, and anticipate the risk of COVID-19 transmission in the company. The output result of the Failure Mode Effect Analysis (FMEA) method is the Risk Priority Number (RPN) score. The three activities with the highest RPN value were health services at the polyclinic, employee meal activities in the canteen, and activities inside and outside the factory. This analysis's results were continued by using the Bow Tie method to identify the causes, prevention, impact, and recovery of these risks. Bow Tie analysis results formed the basis for the preparation of Corrective Action and Preventive Action (CAPA). The risk control of human resources is focused on increasing employee productivity by reducing days lost due to labor shortages. In the end, the study results are expected to become recommendations in the evaluation of risk control and preventive measures for COVID-19 in manufacturing companies.
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Affiliation(s)
- Rita Ambarwati
- Faculty of Business Law and Social Science, Universitas Muhammadiyah Sidoarjo, Sidoarjo, Indonesia
| | - Diah Yuliastri
- Master Management, Faculty of Business Law and Social Science, Universitas Muhammadiyah Sidoarjo, Majapahit 666b, Sidoarjo, 61215, Indonesia
| | - Wiwik Sulistiyowati
- Faculty of Science and Technology, Universitas Muhammadiyah Sidoarjo, Universitas Muhammadiyah Sidoarjo, Majapahit 666b, Sidoarjo, 61215, Indonesia
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Stelzenmüller V, Coll M, Cormier R, Mazaris AD, Pascual M, Loiseau C, Claudet J, Katsanevakis S, Gissi E, Evagelopoulos A, Rumes B, Degraer S, Ojaveer H, Moller T, Giménez J, Piroddi C, Markantonatou V, Dimitriadis C. Operationalizing risk-based cumulative effect assessments in the marine environment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 724:138118. [PMID: 32247136 DOI: 10.1016/j.scitotenv.2020.138118] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 03/19/2020] [Accepted: 03/20/2020] [Indexed: 06/11/2023]
Abstract
Ecosystem-based management requires an assessment of the cumulative effects of human pressures and environmental change. The operationalization and integration of cumulative effects assessments (CEA) into decision-making processes often lacks a comprehensive and transparent framework. A risk-based CEA framework that divides a CEA in risk identification, risk analysis and risk evaluation, could structure such complex analyses and facilitate the establishment of direct science-policy links. Here, we examine carefully the operationalization of such a risk-based CEA framework with the help of eleven contrasting case studies located in Europe, French Polynesia, and Canada. We show that the CEA framework used at local, sub-regional, and regional scales allowed for a consistent, coherent, and transparent comparison of complex assessments. From our analysis, we pinpoint four emerging issues that, if accurately addressed, can improve the take up of CEA outcomes by management: 1) framing of the CEA context and defining risk criteria; 2) describing the roles of scientists and decision-makers; 3) reducing and structuring complexity; and 4) communicating uncertainty. Moreover, with a set of customized tools we describe and analyze for each case study the nature and location of uncertainty as well as trade-offs regarding available knowledge and data used for the CEA. Ultimately, these tools aid decision-makers to recognize potential caveats and repercussions of management decisions. One key recommendation is to differentiate CEA processes and their context in relation to governance advice, marine spatial planning or regulatory advice. We conclude that future research needs to evaluate how effective management measures are in reducing the risk of cumulative effects. Changing governance structures takes time and is often difficult, but we postulate that well-framed and structured CEA can function as a strategic tool to integrate ecosystem considerations across multiple sectorial policies.
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Affiliation(s)
| | - Marta Coll
- Institute of Marine Science (ICM-CSIC), Passeig Marítim de la Barceloneta, n° 37-49, 08003 Barcelona, Spain
| | - Roland Cormier
- Helmholtz-Zentrum Geesthacht, Institute for Coastal Research, Max-Planck-Straße 1, 21502 Geesthacht, Germany
| | - Antonios D Mazaris
- Department of Ecology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Marta Pascual
- Basque Centre for Climate Change (BC3), Parque Científico UPV/EHU, Edificio Sede 1, Planta 1, Barrio Sarriena, s/n, 48940 Leioa, Spain
| | - Charles Loiseau
- National Center for Scientific Research, PSL Université Paris, CRIOBE, USR 3278 CNRS-EPHE-UPVD, Maison des Océans, 195 rue Saint-Jacques, 75005 Paris, France; Laboratoire d'Excellence CORAIL, Moorea, French Polynesia
| | - Joachim Claudet
- National Center for Scientific Research, PSL Université Paris, CRIOBE, USR 3278 CNRS-EPHE-UPVD, Maison des Océans, 195 rue Saint-Jacques, 75005 Paris, France; Laboratoire d'Excellence CORAIL, Moorea, French Polynesia
| | | | - Elena Gissi
- University Iuav of Venice, Tolentini, Santa Croce 191, 30135 Venezia, Italy
| | | | - Bob Rumes
- Royal Belgian Institute of Natural Sciences (RBINS), Operational Directorate Natural Environment (OD Nature), Marine Ecology and Management (MARECO), Vautierstraat 29, 1000 Brussels, Belgium
| | - Steven Degraer
- Royal Belgian Institute of Natural Sciences (RBINS), Operational Directorate Natural Environment (OD Nature), Marine Ecology and Management (MARECO), Vautierstraat 29, 1000 Brussels, Belgium
| | - Henn Ojaveer
- University of Tartu, Ringi 35, 80012 Pärnu, Estonia; National Institute of Aquatic Resources, Technical University of Denmark, Kemitorvet Building 201, 2800 Kgs. Lyngby, Denmark
| | - Tiia Moller
- Estonian Marine Institute, University of Tartu, Mäealuse 14, 12618 Tallinn, Estonia
| | - Joan Giménez
- Institute of Marine Science (ICM-CSIC), Passeig Marítim de la Barceloneta, n° 37-49, 08003 Barcelona, Spain
| | - Chiara Piroddi
- European Commission, Joint Research Centre, Via Fermi 2749, 21027 Ispra, Italy
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