• A novel time, cost, quality and risk tradeoff model with a knowledge-based hesitant fuzzy in-formation: An R&D project application

      Mahdiraji, H.A; Sedigh, M.; Hajiagha, S.H.R.; Garza-Reyes, Jose Arturo; Jafari-Sadeghi, V.; Dana, L.P.; De Montfort University, Leicester; Khatam University, Tehran, Iran; University of Derby; Northumbria University; et al. (Elsevier, 2021-08-01)
      This paper proposes a novel approach for identifying the best implementation situation for each activity in a project by optimizing and balancing time, cost, quality, and risk criteria under uncertain circumstances. A hesitant fuzzy linguistic term sets (HFLTs) approach is proposed to determine the status of project activities in the presence of quality and risk criteria alongside their time and cost. Afterwards, a multi-objective linear programming (MOLP) model is formulated for a time, cost, quality, and risk tradeoff (TCQRT). To validate the model, a research and development project in the food industry was investigated. The results indicate that the project’s time compared to the deterministic approach was reduced by 20%. Completing the R&D project earlier than other competitors bring higher profit than tradeoff expenses, even without considering the quality and risk tradeoff benefits of the proposed approach. Considering uncertainty in risk and quality of activities via HFLTs and also optimizing all four elements of time, cost, quality, and risk simultaneously in a project are the main values of this research. The proposed approach can be employed by managers to adopt and optimize project planning and scheduling while trading off TCQR in uncertain circumstances.
    • Scoping review of the readiness for sustainable implementation of lean six sigma projects in the manufacturing sector

      Shokri, A., Antony, J., Garza-Reyes, J.A., Upton, M.; Northumbria University; Heriot-Watt University, Edinburgh; University of Derby; University of York (Emerald, 2021-01-11)
      This work presents a synthesis of current literature published from 2010 to provide an overall understanding of the sustainable implementation of Lean Six Sigma (LSS) projects in terms of project approaches rather than outcomes. A comprehensive and validated ten-step model was applied to conduct a scoping review (SR) with the following three broad phases: “review planning”, “review execution”, and “review reporting”. The analysis shows that while a few geographically and methodologically broad research studies have been conducted on LSS and green manufacturing integration, no studies have examined organisational culture or conducted readiness assessments on the sustainable implementation of LSS projects in the manufacturing sector. The present study contributes to existing knowledge by describing the current state of research on green LSS integration. The study also identifies a lack of research on the deployment of sustainable LSS projects for manufacturers. Further empirical analyses that include case studies must be conducted to assess the negative environmental impacts of LSS projects. This study serves as an initial call for practitioners and research scholars to favour the sustainable deployment of LSS projects in manufacturing alongside the use of traditional approaches with a focus on costs, quality and delivery.