IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i6p1533-d213638.html
   My bibliography  Save this article

Maintenance Supplier Evaluation and Selection for Safe and Sustainable Production in the Chemical Industry: A Case Study

Author

Listed:
  • Lizhong Tong

    (Business School, Sichuan University, Chengdu 610065, Sichuan, China)

  • Zhongmin Pu

    (Business School, Sichuan University, Chengdu 610065, Sichuan, China)

  • Jizheng Ma

    (Jincheng College of Sichuan University, Chengdu 611731, Sichuan, China)

Abstract

Chemical industry plays a pivotal role in the economy in every country. As chemical hazardous materials are usually characterized as inflammable, explosive, toxic, corrosive, and carcinogenic, if accidents happen in chemical company it can lead to irreversible environmental and health damage to the public. The chemical industry attaches great importance to safe production, technical professionalism, and service standardization. Nowadays, under the trend of equipment maintenance service outsourcing in chemical companies, the selection of maintenance suppliers with safe and sustainable records come first and foremost in the supplier selection process. However, these concerns from the chemical industry are currently inadequately addressed by most general supplier selection models. Therefore, this paper proposes an applicable methodology for selecting and evaluating equipment maintenance suppliers in the chemical industry, compatible with a safe and sustainable production context. To achieve the goal of “safe operation and sustainable development in the future”, we established an evaluation criteria framework for equipment maintenance suppliers by combining the general supplier selection criteria and safe production characteristics together. Eight main criteria and 24 sub-criteria based on market acceptance, resource conditions, and safe production were included. Then a fuzzy TOPSIS model was presented to select the best equipment maintenance service supplier. Finally, by analyzing a case in W petrochemical company, the empirical results indicate that the proposed framework is of great practical value to select and evaluate equipment maintenance suppliers for safety and sustainable development in the chemical industry.

Suggested Citation

  • Lizhong Tong & Zhongmin Pu & Jizheng Ma, 2019. "Maintenance Supplier Evaluation and Selection for Safe and Sustainable Production in the Chemical Industry: A Case Study," Sustainability, MDPI, vol. 11(6), pages 1-15, March.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1533-:d:213638
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/6/1533/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/6/1533/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Gianpaolo Di Bona & Alessandro Silvestri & Antonio Forcina & Antonella Petrillo, 2018. "Total efficient risk priority number (TERPN): a new method for risk assessment," Journal of Risk Research, Taylor & Francis Journals, vol. 21(11), pages 1384-1408, November.
    3. Dobos, Imre & Vörösmarty, Gyöngyi, 2014. "Green supplier selection and evaluation using DEA-type composite indicators," International Journal of Production Economics, Elsevier, vol. 157(C), pages 273-278.
    4. Dobos, Imre & Vörösmarty, Gyöngyi, 2019. "Inventory-related costs in green supplier selection problems with Data Envelopment Analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 209(C), pages 374-380.
    5. Gianpaolo Di Bona & Antonio Forcina & Domenico Falcone, 2018. "Maintenance strategy design in a sintering plant based on a multicriteria approach," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 17(1), pages 29-49.
    6. Hua Shi & Mei-Yun Quan & Hu-Chen Liu & Chun-Yan Duan, 2018. "A Novel Integrated Approach for Green Supplier Selection with Interval-Valued Intuitionistic Uncertain Linguistic Information: A Case Study in the Agri-Food Industry," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    7. Qin, Jindong & Liu, Xinwang & Pedrycz, Witold, 2017. "An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment," European Journal of Operational Research, Elsevier, vol. 258(2), pages 626-638.
    8. Vipul Jain & Sharfuddin Ahmed Khan, 2017. "Application of AHP in reverse logistics service provider selection: a case study," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 12(1), pages 94-119.
    9. Athena Forghani & Seyed Jafar Sadjadi & Babak Farhang Moghadam, 2018. "A supplier selection model in pharmaceutical supply chain using PCA, Z-TOPSIS and MILP: A case study," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-17, August.
    10. Roberto Maria Grisi & Luigi Guerra & Giuseppe Naviglio, 2010. "Supplier Performance Evaluation for Green Supply Chain Management," Springer Books, in: Paolo Taticchi (ed.), Business Performance Measurement and Management, chapter 0, pages 149-163, Springer.
    11. Ting-Kwei Wang & Qian Zhang & Heap-Yih Chong & Xiangyu Wang, 2017. "Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)," Sustainability, MDPI, vol. 9(2), pages 1-26, February.
    12. Maimouna Diouf & Choonjong Kwak, 2018. "Fuzzy AHP, DEA, and Managerial Analysis for Supplier Selection and Development; From the Perspective of Open Innovation," Sustainability, MDPI, vol. 10(10), pages 1-17, October.
    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. Hyun-Joon Jo & Timothy Connerton & Hyun-Jung Kim, 2019. "Dynamic Outsourcing Development for Sustainable Competitive Advantage in a High-Tech Backend Semiconductor Equipment Firm," Sustainability, MDPI, vol. 12(1), pages 1-13, December.
    2. Esra Yalcin & Gokcen Alev Ciftcioglu & Burcin Hulya Guzel, 2023. "Human Factors Analysis by Classifying Chemical Accidents into Operations," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    3. Shivani Guru & D. K. Mahalik, 2019. "A comparative study on performance measurement of Indian public sector banks using AHP-TOPSIS and AHP-grey relational analysis," OPSEARCH, Springer;Operational Research Society of India, vol. 56(4), pages 1213-1239, December.
    4. Dinulescu Ruxandra & Dobrin Cosmin, 2022. "Applying the fuzzy analytical hierarchy process for classifying and prioritizing healthcare quality attributes," Management & Marketing, Sciendo, vol. 17(1), pages 15-40, March.
    5. Chun-Ho Chen, 2019. "A New Multi-Criteria Assessment Model Combining GRA Techniques with Intuitionistic Fuzzy Entropy-Based TOPSIS Method for Sustainable Building Materials Supplier Selection," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    6. Edwin Espinel Blanco & Guillermo Valencia Ochoa & Jorge Duarte Forero, 2020. "Combining Energy Management Indicators and Life Cycle Assessment Indicators to Promote Sustainability in a Paper Production Plant," Resources, MDPI, vol. 9(6), pages 1-21, June.

    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. Aleksandar Aleksić & Danijela Tadić, 2023. "Industrial and Management Applications of Type-2 Multi-Attribute Decision-Making Techniques Extended with Type-2 Fuzzy Sets from 2013 to 2022," Mathematics, MDPI, vol. 11(10), pages 1-24, May.
    2. Jung-Fa Tsai & Shih-Ping Shen & Ming-Hua Lin, 2023. "Applying a Hybrid MCDM Model to Evaluate Green Supply Chain Management Practices," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    3. Amin Mahmoudi & Mehdi Abbasi & Xiaopeng Deng, 2022. "Evaluating the Performance of the Suppliers Using Hybrid DEA-OPA Model: A Sustainable Development Perspective," Group Decision and Negotiation, Springer, vol. 31(2), pages 335-362, April.
    4. Alikhani, Reza & Torabi, S. Ali & Altay, Nezih, 2019. "Strategic supplier selection under sustainability and risk criteria," International Journal of Production Economics, Elsevier, vol. 208(C), pages 69-82.
    5. Yan Pan & Yanzhe Li & Shouzhen Zeng & Junfang Hu & Kifayat Ullah, 2022. "Green Recycling Supplier Selection of Shared Bicycles: Interval-Valued Pythagorean Fuzzy Hybrid Weighted Methods Based on Self-Confidence Level," IJERPH, MDPI, vol. 19(9), pages 1-21, April.
    6. Jong Soo Kim & Eunhee Jeon & Jiseong Noh & Jun Hyeong Park, 2018. "A Model and an Algorithm for a Large-Scale Sustainable Supplier Selection and Order Allocation Problem," Mathematics, MDPI, vol. 6(12), pages 1-19, December.
    7. Mohammed, Ahmed & Lopes de Sousa Jabbour, Ana Beatriz & Koh, Lenny & Hubbard, Nicolas & Chiappetta Jabbour, Charbel Jose & Al Ahmed, Teejan, 2022. "The sourcing decision-making process in the era of digitalization: A new quantitative methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    8. Hamzeh Soltanali & Abbas Rohani & Mohammad Hossein Abbaspour-Fard & Aditya Parida & José Torres Farinha, 2020. "Development of a risk-based maintenance decision making approach for automotive production line," 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. 11(1), pages 236-251, February.
    9. Patchara Phochanikorn & Chunqiao Tan, 2019. "An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry," Sustainability, MDPI, vol. 11(7), pages 1-22, March.
    10. Adem Pınar & Rouyendegh Babak Daneshvar & Yavuz Selim Özdemir, 2021. "q-Rung Orthopair Fuzzy TOPSIS Method for Green Supplier Selection Problem," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    11. Ahmed Mohammed & Morteza Yazdani & Amar Oukil & Ernesto D. R. Santibanez Gonzalez, 2021. "A Hybrid MCDM Approach towards Resilient Sourcing," Sustainability, MDPI, vol. 13(5), pages 1-30, March.
    12. Çağlar Karamaşa & Selçuk Korucuk & Mustafa Ergün, 2021. "Determining the Green Supplier Selection Criteria in Textile Enterprises and Selecting the Most Ideal Distribution Model: A Case Study of Giresun," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 9(2), pages 311-324, December.
    13. Chong Li & He Huang & Ya Luo, 2022. "An Integrated Two-Dimension Linguistic Intuitionistic Fuzzy Decision-Making Approach for Unmanned Aerial Vehicle Supplier Selection," Sustainability, MDPI, vol. 14(18), pages 1-24, September.
    14. Shouzhen Zeng & Yingjie Hu & Tomas Balezentis & Dalia Streimikiene, 2020. "A multi‐criteria sustainable supplier selection framework based on neutrosophic fuzzy data and entropy weighting," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1431-1440, September.
    15. Kuo-Ping Lin & Kuo-Chen Hung & Yu-Ting Lin & Yao-Hung Hsieh, 2017. "Green Suppliers Performance Evaluation in Belt and Road Using Fuzzy Weighted Average with Social Media Information," Sustainability, MDPI, vol. 10(1), pages 1-11, December.
    16. Dan-Ping Li & Li Xie & Peng-Fei Cheng & Xiang-Hong Zhou & Cheng-Xun Fu, 2021. "Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model," SAGE Open, , vol. 11(4), pages 21582440211, November.
    17. Pankaj Dutta & Bharath Jaikumar & Manpreet Singh Arora, 2022. "Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review," Annals of Operations Research, Springer, vol. 315(2), pages 1399-1454, August.
    18. Guohua Qu & Zhijie Zhang & Weihua Qu & Zeshui Xu, 2020. "Green Supplier Selection Based on Green Practices Evaluated Using Fuzzy Approaches of TOPSIS and ELECTRE with a Case Study in a Chinese Internet Company," IJERPH, MDPI, vol. 17(9), pages 1-32, May.
    19. James J. H. Liou & Perry C. Y. Liu & Huai-Wei Lo, 2020. "A Failure Mode Assessment Model Based on Neutrosophic Logic for Switched-Mode Power Supply Risk Analysis," Mathematics, MDPI, vol. 8(12), pages 1-19, December.
    20. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.

    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:jsusta:v:11:y:2019:i:6:p:1533-:d:213638. 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.