| Title | A Hybrid Traceability Technology Selection Approach for Sustainable Food Supply Chains |
|---|---|
| ID_Doc | 73937 |
| Authors | Islam, S; Manning, L; Cullen, JM |
| Title | A Hybrid Traceability Technology Selection Approach for Sustainable Food Supply Chains |
| Year | 2021 |
| Published | Sustainability, 13, 16 |
| Abstract | Traceability technologies have great potential to improve sustainable performance in cold food supply chains by reducing food loss. In existing approaches, traceability technologies are selected either intuitively or through a random approach, that neither considers the trade-off between multiple cost-benefit technology criteria nor systematically translates user requirements for traceability systems into the selection process. This paper presents a hybrid approach combining the fuzzy Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with integer linear programming to select the optimum traceability technologies for improving sustainable performance in cold food supply chains. The proposed methodology is applied in four case studies utilising data collected from literature and expert interviews. The proposed approach can assist decision-makers, e.g., food business operators and technology companies, to identify what combination of technologies best suits a given food supply chain scenario and reduces food loss at minimum cost. |
| https://www.mdpi.com/2071-1050/13/16/9385/pdf?version=1629938647 |
Similar Articles
| ID | Score | Article |
|---|---|---|
76141
|
Azam, T; Wang, SJ; Mohsin, M; Nazam, M; Hashim, M; Baig, SA; Zia-ur-Rehman, M Does Stakeholder Pressure Matters in Adopting Sustainable Supply Chain Initiatives? Insights from Agro-Based Processing Industry(2021)Sustainability, 13, 13 | |
| 69455
|
Turan, C; Ozturkoglu, Y A conceptual framework model for an effective cold food chain management in sustainability environment(2022)Journal Of Modelling In Management, 17.0, 4 | |
| 66873
|
Boutkhoum, O; Hanine, M; Boukhriss, H; Agouti, T; Tikniouine, A Multi-criteria decision support framework for sustainable implementation of effective green supply chain management practices(2016) | |
| 69869
|
Mangla, SK; Govindan, K; Luthra, S Prioritizing the barriers to achieve sustainable consumption and production trends in supply chains using fuzzy Analytical Hierarchy Process(2017) | |
| 77740
|
Wang, YL; Liao, CN Assessment of Sustainable Reverse Logistic Provider Using the Fuzzy TOPSIS and MSGP Framework in Food Industry(2023)Sustainability, 15, 5 | |
| 75321
|
Ocampo, LA Applying fuzzy AHP-TOPSIS technique in identifying the content strategy of sustainable manufacturing for food production(2019)Environment Development And Sustainability, 21, 5 | |
| 74060
|
Sharma, YK; Mangla, SK; Patil, PP Risks in Sustainable Food Supply Chain Management(2019) | |
| 18557
|
Du, JG; Solangi, YA Sustainability in Pakistan's textile industry: analyzing barriers and strategies for green supply chain management implementation(2023)Environmental Science And Pollution Research, 30.0, 20 | |
| 72971
|
Roy, SA; Ali, SM; Kabir, G; Enayet, R; Suhi, SA; Haque, T; Hasan, R A framework for sustainable supplier selection with transportation criteria(2020)International Journal Of Sustainable Engineering, 13, 2 | |
| 66760
|
Hendiani, S; Liao, HC; Jabbour, CJC A new sustainability indicator for supply chains: theoretical and practical contribution towards sustainable operations(2022)International Journal Of Logistics-Research And Applications, 25, 4-5 |