Fuzzy Multi-Objective Optimization to Evaluate the Performance of Suppliers Taking Into Account the Visibility and Supply Chain Risk

• Autorzy: Mukhtadi Harry , Alshiqi Sevdie , Opulencia Maria Jade Catalan , Iswanto A. Heri , Alghazali Tawfeeq Abdulameer Hashim , Ghali Fatima , Mira Mohammed , Prakaash S. , Mustafa Yasser Fakri

Identyfikatory

DOI

10.2478/fcds-2023-0017

• Języki publikacji: EN

Abstrakty

EN

Adequate and desirable connections between suppliers and customers necessitate an appropriate flow of information. Therefore, a promising and proper data collaboration in the supply chain is of tremendous significance. Thus, the study's main objective is to provide multiple objective programming models under uncertain conditions to assess the performance of suppliers. To meet that aim, a case study for the reliability assessment of the presented model is carried out. That section is associated with supply chain visibility (SCV). Likewise, the likelihood of unpredicted and undesirable incidents involving supply chain risk (SCR) is taken into consideration. The intimate relation between visibility and risk of the supply chain is deemed efficient for the performance of the supply chain. Incoherence in maximization and minimization of SCR and SCV and other factors, including costs, capacity, or demand, necessitates multiple objective programming models to assess suppliers' performance to accomplish the before-mentioned aims. The study’s results indicate the high reliability of the proposed model. Besides, the numeral results reveal that decision-makers in selecting suppliers mainly decrease SCR and then attempt to enhance SCV. In conclusion, the provided model in the study can be a desirable model for analyzing and estimating supplier performance with SCR and SCV simultaneously.

Słowa kluczowe

EN

supply chain visibility; suppliers performance; supply chain risks; information flow; programming models

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2023
• Tom: Vol. 48, No. 3
• Strony: 385--397
• Opis fizyczny: Bibliogr. 27 poz., rys., tab.

Twórcy

autor

Mukhtadi Harry

• UNHAN (University of Defense), Indonesia

• https://orcid.org/0000-0003-2770-1790

autor

Alshiqi Sevdie

• University of Prishtina “Hasan Prishtina”, Economic Faculty, Kosova

• https://orcid.org/0000-0002-1110-3078

autor

Opulencia Maria Jade Catalan

• College of Business Administration, Ajman University, United Arab Emirates

• https://orcid.org/0000-0003-4260-0269

autor

Iswanto A. Heri

• Public Health Department, Faculty of Health Science, University of Pembangunan Nasional Veteran Jakarta, Indonesia

• https://orcid.org/0000-0002-1102-0176

autor

Alghazali Tawfeeq Abdulameer Hashim

• English department, The Islamic University, Najaf, Iraq

• https://orcid.org/0000-0003-0131-3992

autor

Ghali Fatima

• College of Dentistry, Al-Ayen University, Thi-Qar, Iraq

• https://orcid.org/0000-0003-4332-5481

autor

Mira Mohammed

• Human Resource Management, Faculty of Management, Alfaisal University, Jeddah, Saudi Arabia

• https://orcid.org/0000-0002-6021-9202

autor

Prakaash S.

• Department of Mathematics, Panimalar Institute of Technology Poonamallee Chennai, Chennai Tamilnadu, India

• https://orcid.org/0000-0003-1340-3258

autor

Mustafa Yasser Fakri

• Department of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul, Mosul-41001, Iraq

• https://orcid.org/0000-0002-0926-7428

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).