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KPIs for Operational Performance Assessment in Flexible Packaging Industry

Author

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  • Ciprian Cristea

    (Faculty of Electrical Engineering, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania)

  • Maria Cristea

    (Faculty of Electrical Engineering, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania)

Abstract

The flexible packaging industry has registered a significant growth over the last years, especially due to rising demand from healthcare, automotive, construction, food, beverage, and retail industries. It is essential for the production plants to regularly assess their ability to achieve performance target objectives and, at the same time, to compare their performance with that of factories from the same industry. By combining qualitative and quantitative research, this study proposes a set of thirty-two key performance indicators (KPIs), grouped into six activity areas, believed to be adequate to the flexible packaging industry, for assessing the operational performance. The analytical hierarchy process (AHP) method was employed to obtain the weights of the KPIs and to select the best manufacturing facility from a leading flexible packaging company in line with the opinions of experts that activate in this field. The results indicated that the main aspects considered by experts for assessing manufacturing plants operational performance were financial issues followed by production, customers contentment, quality, employee satisfaction and environmental protection. The proposed practical framework for assessing the operational performance along with the detailed information obtained in the paper are expected to represent important benchmarks for stakeholders involved in the decision-making process for flexible packaging industry.

Suggested Citation

  • Ciprian Cristea & Maria Cristea, 2021. "KPIs for Operational Performance Assessment in Flexible Packaging Industry," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3498-:d:521658
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    1. Emmanouil Varouchas & Miguel-Ángel Sicilia & Salvador Sánchez-Alonso, 2018. "Academics’ Perceptions on Quality in Higher Education Shaping Key Performance Indicators," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    2. Eshtaiwi, Mohamed & Badi, Ibrahim & Abdulshahed, Ali & Erkan, Turan Erman, 2018. "Determination of key performance indicators for measuring airport success: A case study in Libya," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 28-34.
    3. Hannah Santos & Gustavo Lannelongue & Javier Gonzalez-Benito, 2019. "Integrating Green Practices into Operational Performance: Evidence from Brazilian Manufacturers," Sustainability, MDPI, vol. 11(10), pages 1-18, May.
    4. Ningxuan Kang & Cong Zhao & Jingshan Li & John A. Horst, 2016. "A Hierarchical structure of key performance indicators for operation management and continuous improvement in production systems," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6333-6350, November.
    5. Huiming Liu & Su Wu & Chongwen Zhong & Ying Liu, 2020. "The Sustainable Effect of Operational Performance on Financial Benefits: Evidence from Chinese Quality Awards Winners," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    6. Bassam Buhusayen & Pi-Shen Seet & Alan Coetzer, 2021. "Front-Line Management during Radical Organisational Change: Social Exchange and Paradox Interpretations," Sustainability, MDPI, vol. 13(2), pages 1-26, January.
    7. Amoako-Gyampah, Kwasi & Acquaah, Moses, 2008. "Manufacturing strategy, competitive strategy and firm performance: An empirical study in a developing economy environment," International Journal of Production Economics, Elsevier, vol. 111(2), pages 575-592, February.
    8. Macharis, Cathy & Springael, Johan & De Brucker, Klaas & Verbeke, Alain, 2004. "PROMETHEE and AHP: The design of operational synergies in multicriteria analysis.: Strengthening PROMETHEE with ideas of AHP," European Journal of Operational Research, Elsevier, vol. 153(2), pages 307-317, March.
    9. Colla, Martin & Ioannou, Anastasia & Falcone, Gioia, 2020. "Critical review of competitiveness indicators for energy projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    10. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    11. Xinhua Mao & Jiahua Gan & Xilong Zhao, 2019. "Debt Risk Evaluation of Toll Freeways in Mainland China Using the Grey Approach," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    12. Thun, Jörn-Henrik, 2008. "Empirical analysis of manufacturing strategy implementation," International Journal of Production Economics, Elsevier, vol. 113(1), pages 370-382, May.
    13. Ivo Hristov & Antonio Chirico, 2019. "The Role of Sustainability Key Performance Indicators (KPIs) in Implementing Sustainable Strategies," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    14. Tzouvanas, Panagiotis & Kizys, Renatas & Chatziantoniou, Ioannis & Sagitova, Roza, 2020. "Environmental and financial performance in the European manufacturing sector: An analysis of extreme tail dependency," The British Accounting Review, Elsevier, vol. 52(6).
    15. Karasakal, Esra & Aker, Pınar, 2017. "A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem," Omega, Elsevier, vol. 73(C), pages 79-92.
    16. Seong-Nam Nam & Thao Thi Nguyen & Jeill Oh, 2019. "Performance Indicators Framework for Assessment of a Sanitary Sewer System Using the Analytic Hierarchy Process (AHP)," Sustainability, MDPI, vol. 11(10), pages 1-18, May.
    17. Huang, Chi-Cheng & Chu, Pin-Yu & Chiang, Yu-Hsiu, 2008. "A fuzzy AHP application in government-sponsored R&D project selection," Omega, Elsevier, vol. 36(6), pages 1038-1052, December.
    18. Melissa Demartini & Claudia Pinna & Bahar Aliakbarian & Flavio Tonelli & Sergio Terzi, 2018. "Soft Drink Supply Chain Sustainability: A Case Based Approach to Identify and Explain Best Practices and Key Performance Indicators," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
    19. Baltazar, Maria Emília & Rosa, Tiago & Silva, Jorge, 2018. "Global decision support for airport performance and efficiency assessment," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 220-242.
    20. Vogel, Hans-Arthur & Graham, Anne, 2013. "Devising airport groupings for financial benchmarking," Journal of Air Transport Management, Elsevier, vol. 30(C), pages 32-38.
    21. Chiuhsiang Joe Lin & Tariku Tamiru Belis & Tsai Chi Kuo, 2019. "Ergonomics-Based Factors or Criteria for the Evaluation of Sustainable Product Manufacturing," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    22. Arana-Solares, Iván Andrés & Ortega-Jiménez, César H. & Alfalla-Luque, Rafaela & Pérez-Díez de los Ríos, José Luis, 2019. "Contextual factors intervening in the manufacturing strategy and technology management-performance relationship," International Journal of Production Economics, Elsevier, vol. 207(C), pages 81-95.
    23. Erol, Ismail & Sencer, Safiye & Sari, Ramazan, 2011. "A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain," Ecological Economics, Elsevier, vol. 70(6), pages 1088-1100, April.
    24. Jui-Te Chiang & Chei-Chang Chiou & Shuh-Chyi Doong & I-Fang Chang, 2020. "Research on the Construction of Performance Indicators for the Marketing Alliance of Catering Industry and Credit Card Issuing Banks by Using the Balanced Scorecard and Fuzzy AHP," Sustainability, MDPI, vol. 12(21), pages 1-24, October.
    25. MacDiarmid, J. & Tholana, T. & Musingwini, C., 2018. "Analysis of key value drivers for major mining companies for the period 2006–2015," Resources Policy, Elsevier, vol. 56(C), pages 16-30.
    26. Antonio K. W. Lau & Stacy H. N. Lee & Sojin Jung, 2018. "The Role of the Institutional Environment in the Relationship between CSR and Operational Performance: An Empirical Study in Korean Manufacturing Industries," Sustainability, MDPI, vol. 10(3), pages 1-17, March.
    27. M. Ishaq Bhatti & H. Awan & Z. Razaq, 2014. "The key performance indicators (KPIs) and their impact on overall organizational performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3127-3143, November.
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    2. Favi, Claudio & Marconi, Marco & Mandolini, Marco & Germani, Michele, 2022. "Sustainable life cycle and energy management of discrete manufacturing plants in the industry 4.0 framework," Applied Energy, Elsevier, vol. 312(C).

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