Production
https://prod.org.br/article/doi/10.1590/0103-6513.20230035
Production
Research Article

Prioritisation of criteria for sustainable and agile global manufacturing outsourcing partner selection using simulation based stochastic fuzzy PIPRECIA method

Mohammad Akhtar

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Abstract

Paper aims: To develop an effective and novel decision making method to assess the strategic priority of the criteria for sustainable and agile global manufacturing outsourcing partner (GOP) selection

Originality: The PIPRECIA Simplified method using random number based stochastic and triangular fuzzy number is applied for setting priority of the GOP selection criteria

Research method: Sustainable and agile criteria were adopted for global manufacturing outsourcing partner selection from the literature review and discussion with industry experts. Criteria weight and strategic priority was determined using a novel stochastic fuzzy PIPRECIA Simplified method using triangular fuzzy number and random number based uniform distribution of each criterion minimum-maximum ratings. This method will overcome the impreciseness, uncertainty and randomness in subjective group rating.

Main findings: Customer driven innovation, worker's training and career development, multi-skilled and flexible workforce, delivery flexibility, collaboration with partners, green manufacturing process, and worker's occupational health and safety are found to be the most important criteria in GOP selection in footwear industry. Main criteria in decreasing order of strategic priority are agile, social, environmental and economic.

Implications for theory and practice: The proposed novel method was applied with a case study of footwear industry to determine the criteria weight and priority, which will enhance supply chain agility and sustainability. The managers in the footwear industry can use the agile and sustainable criteria and proposed method easily.

Keywords

Global manufacturing outsourcing partner selection, Sustainable and agile outsourcing criteria, Fuzzy PIPRECIA, Simulation based stochastic model, Footwear industry

References

Adalı, E. A., & Işık, A. T. (2017). CRITIC and MAUT methods for the contract manufacturer selection problem. European Journal of Multidisciplinary Studies, 2(5), 93-101. http://dx.doi.org/10.26417/ejms.v5i1.p93-101.

Akhtar, M., & Ahmad, M. T. (2021). A stochastic fuzzy multi-criteria group decision-making for sustainable vendor selection in Indian petroleum refining sector. Benchmarking, 29(3), 963-996. http://dx.doi.org/10.1108/BIJ-09-2020-0500.

Al-Shboul, M. D. A. (2017). Infrastructure framework and manufacturing supply chain agility: the role of delivery dependability and time to market. Supply Chain Management, 22(2), 172-185. http://dx.doi.org/10.1108/SCM-09-2016-0335.

Arabsheybani, A., Paydar, M. M., & Safaei, A. S. (2018). An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier’s risk. Journal of Cleaner Production, 190, 577-591. http://dx.doi.org/10.1016/j.jclepro.2018.04.167.

Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. International Journal of Production Economics, 195, 106-117. http://dx.doi.org/10.1016/j.ijpe.2017.10.013.

Ayrim, Y., Atalay, K. D., & Can, G. F. (2018). A new stochastic MCDM approach based on COPRAS. International Journal of Information Technology & Decision Making, 17(3), 857-882. http://dx.doi.org/10.1142/S0219622018500116.

Barhmi, A. (2019). Agility and responsiveness capabilities: impact on supply chain performance. European Scientific Journal, 15(7), 212-224. http://dx.doi.org/10.19044/esj.2019.v15n7p212.

Blagojevic, A., Stevic, Z., Marinkovic, D., Kasalica, S., & Rajilic, S. (2020). A novel entropy-fuzzy PIPRECIA-DEA model for safety evaluation of railway traffic. Symmetry, 12(9), 1479. http://dx.doi.org/10.3390/sym12091479.

Chan, A. T., Ngai, E. W., & Moon, K. K. (2017). The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry. European Journal of Operational Research, 259(2), 486-499. http://dx.doi.org/10.1016/j.ejor.2016.11.006.

Cheraghalipour, A., & Farsad, S. (2018). A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: a case study in plastic industry. Computers & Industrial Engineering, 118, 237-250. http://dx.doi.org/10.1016/j.cie.2018.02.041.

Đalić, I., Stević, Ž., Karamasa, C., & Puška, A. (2020). A novel integrated fuzzy PIPRECIA–interval rough SAW model: Green supplier selection. Decision Making: Applications in Management and Engineering, 3(1), 126-145.

Faisal, M. N., Banwet, D. K., & Shankar, R. (2017). A framework for sustainable outsourcing through social collaboration: a case study of Indian manufacturing industry. Journal of Cleaner Production, 141, 803-815.

Fallahpour, A., Udoncy Olugu, E., Nurmaya Musa, S., Yew Wong, K., & Noori, S. (2017). A decision support model for sustainable supplier selection in sustainable supply chain management. Computers & Industrial Engineering, 105, 391-410. http://dx.doi.org/10.1016/j.cie.2017.01.005.

Garg, C. P., & Sharma, A. (2020). Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework. Environment, Development and Sustainability, 22(2), 1529-1557. http://dx.doi.org/10.1007/s10668-018-0261-5.

Goker, N. (2021). A novel integrated intuitionistic fuzzy decision aid for agile outsourcing provider selection: a COVID-19 pandemic-based scenario analysis. Soft Computing, 25(21), 13723-13740. http://dx.doi.org/10.1007/s00500-021-06037-0. PMid:34316288.

Goren, H. G. (2018). A decision framework for sustainable supplier selection and order allocation with lost sales. Journal of Cleaner Production, 183, 1156-1169. http://dx.doi.org/10.1016/j.jclepro.2018.02.211.

Govindan, K., Khodaverdi, R., & Jafarian, A. (2014). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production, 47, 345-354. http://dx.doi.org/10.1016/j.jclepro.2012.04.014.

Gualandris, J., Golini, R., & Kalchschmidt, M. (2014). Do supply management and global sourcing matter for firm sustainability performance? Supply Chain Management, 19(3), 258-274. http://dx.doi.org/10.1108/SCM-11-2013-0430.

Hu, K.-J., & Yu, V. F. (2015). An integrated approach for the electronic contract manufacturer selection problem. Omega, 62, 68-81. http://dx.doi.org/10.1016/j.omega.2015.08.010.

Jalao, E. R., Wu, T., & Shunk, D. (2014). A stochastic AHP decision making methodology for imprecise preferences. Information Sciences, 270, 192-203. http://dx.doi.org/10.1016/j.ins.2014.02.077.

Ji, P., Zhang, H. Y., & Wang, J. Q. (2018). Selecting an outsourcing provider based on the combined MABAC–ELECTRE method using single-valued neutrosophic linguistic sets. Computers & Industrial Engineering, 120, 429-441. http://dx.doi.org/10.1016/j.cie.2018.05.012.

Jum’a, L., Zimon, D., & Ikram, M. (2021). A relationship between supply chain practices, environmental sustainability and financial performance: evidence from manufacturing companies in Jordan. Sustainability, 13(4), 2152. http://dx.doi.org/10.3390/su13042152.

Kabus, J., Dziadkiewicz, M., Miciuła, I., & Mastalerz, M. (2022). Using Outsourcing Services in Manufacturing Companies. Resources, 11(3), 34. http://dx.doi.org/10.3390/resources11030034.

Kersuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step–wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258. http://dx.doi.org/10.3846/jbem.2010.12.

Kolios, A. J., Rodriguez-Tsouroukdissian, A., & Salonitis, K. (2016b). Multi-criteria decision analysis of offshore wind turbines support structures under stochastic inputs. Ships and Offshore Structures, 11(1), 38-49.

Kolios, A., Mytilinou, V., Lozano-Minguez, E., & Salonitis, K. (2016a). A comparative study of multiple-criteria decision-making methods under stochastic inputs. Energies, 9(7), 566. http://dx.doi.org/10.3390/en9070566.

Le, T. T., & Ikram, M. (2022). Do sustainability innovation and firm competitiveness help improve firm performance? Evidence from the SME sector in Vietnam. Sustainable Production and Consumption, 29, 588-599. http://dx.doi.org/10.1016/j.spc.2021.11.008.

Liaw, C. F., Hsu, W. C. J., & Lo, H. W. (2020). A hybrid MCDM model to evaluate and classify outsourcing providers in manufacturing. Symmetry, 12(12), 1962. http://dx.doi.org/10.3390/sym12121962.

Lo, H. W., Chang, D. S., & Huang, L. T. (2022). Sustainable strategic alliance partner selection using a neutrosophic-based decision-making model: a case study in passive component manufacturing. Complexity, 2022(Special Issue), 9483256. http://dx.doi.org/10.1155/2022/9483256.

Luthra, S., Govindan, K., Kannan, D., Mangla, S. K., & Garg, C. P. (2017). An integrated framework for sustainable supplier selection and evaluation in supply chains. Journal of Cleaner Production, 140, 1686-1698. http://dx.doi.org/10.1016/j.jclepro.2016.09.078.

Malviya, R. K., Kant, R., & Gupta, A. D. (2018). Evaluation and selection of sustainable strategy for green supply chain management implementation. Business Strategy and the Environment, 27(4), 475-502. http://dx.doi.org/10.1002/bse.2016.

Nair, A., Guldiken, O., Fainshmidt, S., & Pezeshkan, A. (2015). Innovation in India: a review of past research and future directions. Asia Pacific Journal of Management, 32(4), 925-958. http://dx.doi.org/10.1007/s10490-015-9442-z.

Percin, S. (2019). An integrated fuzzy SWARA and fuzzy AD approach for outsourcing provider selection. Journal of Manufacturing Technology Management, 30(2), 531-552. http://dx.doi.org/10.1108/JMTM-08-2018-0247.

Prakash, C., & Barua, M. K. (2016). A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronics industry. Sustainable Production and Consumption, 7, 66-78. http://dx.doi.org/10.1016/j.spc.2016.04.001.

Rahman, M. M., & Subramanian, N. (2017). Factors influencing employee training in offshore outsourcing relationships: An exploratory study. International Journal of Human Resource Management, 28(6), 978-1003.

Sahu, A. K., Sharma, M., Raut, R. D., Sahu, A. K., Sahu, N. K., Antony, J., & Tortorella, G. L. (2023). Decision-making framework for supplier selection using an integrated MCDM approach in a lean-agile-resilient-green environment: evidence from Indian automotive sector. The TQM Journal, 35(4), 964-1006. http://dx.doi.org/10.1108/TQM-12-2021-0372.

Sen, D. K., Datta, S., & Mahapatra, S. S. (2018). Sustainable supplier selection in intuitionistic fuzzy environment: a decision-making perspective. Benchmarking, 25(2), 545-574. http://dx.doi.org/10.1108/BIJ-11-2016-0172.

Silvestre, B. S. (2015). A hard nut to crack! Implementing supply chain sustainability in an emerging economy. Journal of Cleaner Production, 96, 171-181. http://dx.doi.org/10.1016/j.jclepro.2014.01.009.

Singh, P. K., & Sarkar, P. A. (2021). Multi-criteria decision approach to select contract manufacturer for sustainable development of automotive products: an integrated framework. Process Integration and Optimization for Sustainability, 5(4), 843-857. http://dx.doi.org/10.1007/s41660-021-00181-8.

Sinha, A. K., & Anand, A. (2018). Development of sustainable supplier selection index for new product development using multi criteria decision making. Journal of Cleaner Production, 197, 1587-1596. http://dx.doi.org/10.1016/j.jclepro.2018.06.234.

Song, W., Xu, Z., & Liu, H. C. (2017). Developing sustainable supplier selection criteria for solar air conditioner manufacturer: an integrated approach. Renewable & Sustainable Energy Reviews, 79, 1461-1471. http://dx.doi.org/10.1016/j.rser.2017.05.081.

Stanujkic, D., Karabasevic, D., Popovic, G., & Sava, C. (2021). Simplified pivot pairwise relative criteria importance assessment (PIPRECIA-S) method. Romanian Journal of Economic Forecasting, 24(4), 141-154.

Stanujkic, D., Zavadskas, E. K., Karabasevic, D., Smarandache, F., & Turskis, Z. (2017). The use of the pivot pairwise relative criteria importance assessment method for determining the weights of criteria. Romanian Journal of Economic Forecasting, 20, 116-133.

Stević, Ž., Bouraima, M. B., Subotić, M., Qiu, Y., Buah, P. A., Ndiema, K. M., & Ndjegwes, C. M. (2022). Assessment of causes of delays in the road construction projects in the Benin Republic using Fuzzy PIPRECIA method. Mathematical Problems in Engineering, 2022, 5323543. http://dx.doi.org/10.1155/2022/5323543.

Stević, Ž., Stjepanović, Ž., Božičković, Z., Das, D. K., & Stanujkić, D. (2018). Assessment of conditions for implementing information technology in a warehouse system: a novel fuzzy piprecia method. Symmetry, 10(11), 586. http://dx.doi.org/10.3390/sym10110586.

Ulutaş, A., Popovic, G., Radanov, P., Stanujkic, D., & Karabasevic, D. (2021). A new hybrid fuzzy PSI-PIPRECIA-CoCoSo MCDM based approach to solving the transportation company selection problem. Technological and Economic Development of Economy, 27(5), 1227-1249. http://dx.doi.org/10.3846/tede.2021.15058.

Ulutas, A., Shukla, N., Kiridena, S., & Gibson, P. (2016). A utility-driven approach to supplier evaluation and selection: empirical validation of an integrated solution framework. International Journal of Production Research, 54(5), 1554-1567. http://dx.doi.org/10.1080/00207543.2015.1098787.

Vasiljević, M., Fazlollahtabar, H., Stević, Ž., & Vesković, S. (2018). A rough multi criteria approach for evaluation of the supplier criteria in automotive industry. Decision Making: Applications in Management and Engineering, 1(1), 82-96.

Vesković, S., Stević, Ž., Karabašević, D., Rajilić, S., Milinković, S., & Stojić, G. (2020). A new integrated fuzzy approach to selecting the best solution for business balance of passenger rail operator: Fuzzy PIPRECIA-fuzzy EDAS model. Symmetry, 12(5), 743. http://dx.doi.org/10.3390/sym12050743.

Wu, C., & Barnes, D. (2011). A literature review of decision-making models and approaches for partner selection in agile supply chains. Journal of Purchasing and Supply Management, 17(4), 256-274. http://dx.doi.org/10.1016/j.pursup.2011.09.002.

Wu, K. J., Tseng, M. L., Chiu, A. S., & Lim, M. K. (2017). Achieving competitive advantage through supply chain agility under uncertainty: a novel multi-criteria decision-making structure. International Journal of Production Economics, 190, 96-107. http://dx.doi.org/10.1016/j.ijpe.2016.08.027.

Yusuf, Y. Y., Gunasekaran, A., Musa, A., Dauda, M., El-Berishy, N. M., & Cang, S. (2014). A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry. International Journal of Production Economics, 147, 531-543. http://dx.doi.org/10.1016/j.ijpe.2012.10.009.

Ziemba, P. (2018). NEAT F-PROMETHEE: a new fuzzy multiple criteria decision making method based on the adjustment of mapping trapezoidal fuzzy numbers. Expert Systems with Applications, 110, 363-380. http://dx.doi.org/10.1016/j.eswa.2018.06.008.
 


Submitted date:
05/17/2023

Accepted date:
10/20/2023

656e045ca95395291b391b77 production Articles
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