A new weighted distance-based approximation methodology for flow shop scheduling group decisions under the interval-valued fuzzy processing time

Scheduling plays a significant role in production planning. This paper introduces a new extension of a weighted distance-based approximation (WBDA) methodology to determine the sequence of jobs in flow shop scheduling problems. Furthermore, a new version of WDBA is used to specify the decision-makers' weights. In reality, there are many inherent uncertainties in the processing time owing to the batch loading, the capacity of processing unit, operator skills, transformation quality of raw materials in the production systems, imperfect information regarding systems, transportation lag, traffic jam, machine disablements, arrival of new jobs, and resources deficiencies. In this situation, interval-valued fuzzy sets (IVFSs) are employed for considering the uncertainty of practical conditions. Finally, an illustrative example of the literature under different weight schemes is adopted and solved to address the strengths of the introduced methodology better. (C) 2020 Elsevier B.V. All rights reserved.