IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v7y2019i7p627-d248464.html
   My bibliography  Save this article

The Quantitative Analysis of Workers’ Stress Due to Working Environment in the Production System of the Automobile Part Manufacturing Industry

Author

Listed:
  • Muhammad Omair

    (Department of Industrial Engineering, Jalozai Campus, University of Engineering and Technology, Peshawar 25000, Pakistan)

  • Misbah Ullah

    (Department of Industrial Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan)

  • Baishakhi Ganguly

    (Department of Mathematics & Statistics, Banasthali University, Rajasthan 304022, India)

  • Sahar Noor

    (Department of Industrial Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan)

  • Shahid Maqsood

    (Department of Industrial Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan)

  • Biswajit Sarkar

    (Department of Industrial and Management Engineering, Hanyang University, Ansan 15588, Korea)

Abstract

Production now requires the management of production processes and operations on the basis of customers’ demand to ensure the best combination of technology and humans in the system. The role of the humans in the production process is very significant for the production and quality of the product. The production system depends upon technology and human factors and is highly influenced by the working conditions of the workers, that is, work load, physical, dealings, job timings and so forth. In the current global economy, minimizing production costs is a serious priority for the industries. However, the costs of bad working conditions increase the intensity of the average stress among employees to cause extra costs by affecting the workers’ efficiency and products’ quality, which is invisible in the eyes of decision makers. This research identifies the cost of workers’ stress by developing a linkage between the economic benefits of the firms and the social upgrading of the workers. A numerical example of a production based system is performed to represent the real-time application of the proposed model. A sensitivity analysis is also carried out to quantify the impact of average stress among workers on the production system. Sequential quadratic programming is used to optimize the given nonlinear model for production planning. The optimal results influence ergonomics awareness and the relationship with the safety culture among managers in a firm. It is concluded that efficient and effective production cannot be possible without considering the working conditions of humans in the firm. Managerial insights are also generated from the implications of the results and sensitivity analysis.

Suggested Citation

  • Muhammad Omair & Misbah Ullah & Baishakhi Ganguly & Sahar Noor & Shahid Maqsood & Biswajit Sarkar, 2019. "The Quantitative Analysis of Workers’ Stress Due to Working Environment in the Production System of the Automobile Part Manufacturing Industry," Mathematics, MDPI, vol. 7(7), pages 1-18, July.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:7:p:627-:d:248464
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/7/7/627/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/7/7/627/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Muhammad Omair & Biswajit Sarkar & Leopoldo Eduardo Cárdenas-Barrón, 2017. "Minimum Quantity Lubrication and Carbon Footprint: A Step towards Sustainability," Sustainability, MDPI, vol. 9(5), pages 1-18, April.
    2. Jeang, Angus, 2012. "Simultaneous determination of production lot size and process parameters under process deterioration and process breakdown," Omega, Elsevier, vol. 40(6), pages 774-781.
    3. Phillip Harvard, 2010. "Maslow, Mazes, Minotaurs; Updating Employee Needs and Behavior Patterns in a Knowledge-Based Global Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 1(2), pages 117-127, June.
    4. Christopher J. Ruhm, 2000. "Are Recessions Good for Your Health?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 617-650.
    5. Muhammad Dawood Idrees & Maria Hafeez & Jung-Yong Kim, 2017. "Workers’ Age and the Impact of Psychological Factors on the Perception of Safety at Construction Sites," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    6. Goyal, Suresh Kumar & Cardenas-Barron, Leopoldo Eduardo, 2002. "Note on: Economic production quantity model for items with imperfect quality - a practical approach," International Journal of Production Economics, Elsevier, vol. 77(1), pages 85-87, May.
    7. Perla, Abhinav & Nikolaev, Alexander & Pasiliao, Eduardo, 2018. "Workforce management under social Link Based Corruption," Omega, Elsevier, vol. 78(C), pages 222-236.
    8. Wee, H.M. & Yu, Jonas & Chen, M.C., 2007. "Optimal inventory model for items with imperfect quality and shortage backordering," Omega, Elsevier, vol. 35(1), pages 7-11, February.
    9. Boone, Jan & van Ours, Jan C., 2006. "Are recessions good for workplace safety?," Journal of Health Economics, Elsevier, vol. 25(6), pages 1069-1093, November.
    10. Janusz R. Mrozek & Laura O. Taylor, 2002. "What determines the value of life? a meta-analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(2), pages 253-270.
    11. Biswajit Sarkar, 2016. "Supply Chain Coordination with Variable Backorder, Inspections, and Discount Policy for Fixed Lifetime Products," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-14, February.
    12. E. G. Birgin & G. Haeser & A. Ramos, 2018. "Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points," Computational Optimization and Applications, Springer, vol. 69(1), pages 51-75, January.
    13. Bouslah, B. & Gharbi, A. & Pellerin, R., 2016. "Integrated production, sampling quality control and maintenance of deteriorating production systems with AOQL constraint," Omega, Elsevier, vol. 61(C), pages 110-126.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rimi Karmakar & Sanat K. Mazumder & Md Billal Hossain & Csaba Balint Illes & Arindam Garai, 2023. "Sustainable Green Economy for a Supply Chain with Remanufacturing by Both the Supplier and Manufacturer in a Varying Market," Logistics, MDPI, vol. 7(3), pages 1-48, July.
    2. Waqas Ahmed & Muhammad Jalees & Muhammad Omair & Zainab Mukhtar & Muhammad Imran, 2022. "An inventory management for global supply chain through reworking of defective items having positive inventory level under multi-trade-credit-period," Annals of Operations Research, Springer, vol. 315(1), pages 1-28, August.
    3. Monica Aureliana Petcu & Liliana Ionescu-Feleaga & Bogdan-Ștefan Ionescu & Dumitru-Florin Moise, 2023. "A Decade for the Mathematics : Bibliometric Analysis of Mathematical Modeling in Economics, Ecology, and Environment," Mathematics, MDPI, vol. 11(2), pages 1-30, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhammad Omair & Mohammed Alkahtani & Kashif Ayaz & Ghulam Hussain & Johannes Buhl, 2022. "Supply Chain Modelling of the Automobile Multi-Stage Production Considering Circular Economy by Waste Management Using Recycling and Reworking Operations," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
    2. Chang Wook Kang & Misbah Ullah & Mitali Sarkar & Muhammad Omair & Biswajit Sarkar, 2019. "A Single-Stage Manufacturing Model with Imperfect Items, Inspections, Rework, and Planned Backorders," Mathematics, MDPI, vol. 7(5), pages 1-18, May.
    3. Hsu, Jia-Tzer & Hsu, Lie-Fern, 2013. "An EOQ model with imperfect quality items, inspection errors, shortage backordering, and sales returns," International Journal of Production Economics, Elsevier, vol. 143(1), pages 162-170.
    4. Boone, Jan & van Ours, Jan C. & Wuellrich, Jean-Philippe & Zweimüller, Josef, 2011. "Recessions are bad for workplace safety," Journal of Health Economics, Elsevier, vol. 30(4), pages 764-773, July.
    5. Tien-Yu Lin & Kuo-Lung Hou, 2015. "An imperfect quality economic order quantity with advanced receiving," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(2), pages 535-551, July.
    6. Karzan Ghafour, 2017. "The Role of Items Quantity Constraint to Control the Optimal Economic Order Quantity," Modern Applied Science, Canadian Center of Science and Education, vol. 11(9), pages 1-61, September.
    7. Yuhe Shi & Zhenggang He, 2018. "Decision Analysis of Disturbance Management in the Process of Medical Supplies Transportation after Natural Disasters," IJERPH, MDPI, vol. 15(8), pages 1-18, August.
    8. Gabriele Mazzolini, 2014. "The economic consequences of accidents at work," DISCE - Working Papers del Dipartimento di Economia e Finanza def015, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    9. French, Michael T. & Gumus, Gulcin, 2021. "Death on the job: The Great Recession and work-related traffic fatalities," Social Science & Medicine, Elsevier, vol. 280(C).
    10. Masaru Sasaki, 2010. "Unemployment and Workplace Safety in a Search and Matching Model," Discussion Papers in Economics and Business 10-14, Osaka University, Graduate School of Economics.
    11. Tapan Kumar Datta, 2017. "Inventory system with defective products and investment opportunity for reducing defective proportion," Operational Research, Springer, vol. 17(1), pages 297-312, April.
    12. Ivan Darma Wangsa & Hui Ming Wee & Shih-Hsien Tseng, 2019. "A coordinated vendor–buyer system considering loss and damage claims, insurance cost and stochastic lead time," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(3), pages 384-398, June.
    13. Maddah, Bacel & Jaber, Mohamad Y., 2008. "Economic order quantity for items with imperfect quality: Revisited," International Journal of Production Economics, Elsevier, vol. 112(2), pages 808-815, April.
    14. Urbanos-Garrido, Rosa M. & Gonzalez Lopez-Valcarcel, Beatriz, 2013. "Desempleo y salud: Un análisis de la repercusión de la crisis económica sobre la salud de los españoles/Unemployment and Health: An Analysis of the Impact of the Economic Crisis on the Health of the S," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 31, pages 303-326, Septiembr.
    15. Rosa Urbanos-Garrido & Beatriz Lopez-Valcarcel, 2015. "The influence of the economic crisis on the association between unemployment and health: an empirical analysis for Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 175-184, March.
    16. Kevin Hsu, Wen-Kai & Yu, Hong-Fwu, 2009. "EOQ model for imperfective items under a one-time-only discount," Omega, Elsevier, vol. 37(5), pages 1018-1026, October.
    17. Matthew Lang & T. Clay McManus & Georg Schaur, 2019. "The effects of import competition on health in the local economy," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 44-56, January.
    18. Taleizadeh, Ata Allah & Khanbaglo, Mahboobeh Perak Sari & Cárdenas-Barrón, Leopoldo Eduardo, 2016. "An EOQ inventory model with partial backordering and reparation of imperfect products," International Journal of Production Economics, Elsevier, vol. 182(C), pages 418-434.
    19. Karzan Ghafour & Rezan Rashid, 2017. "Optimizing Multi-Item EOQ when the Constraint of Annual Number of Orders is Active," Modern Applied Science, Canadian Center of Science and Education, vol. 11(1), pages 1-55, September.
    20. Andrea Salustri & Marco Forti & Maria Alessandra Antonelli & Alessia Marrocco, 2023. "Accidents at work in Italy: an empirical analysis at the regional level," Public Finance Research Papers 60, Istituto di Economia e Finanza, DSGE, Sapienza University of Rome.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:7:y:2019:i:7:p:627-:d:248464. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.