Single machine earliness/tardiness scheduling problem with grey processing times and the grey common due date

Purpose This paper presents a mixed-integer programming model for a single machine earliness/tardiness scheduling problem where the objective is to minimize total earliness/tardiness duration when the uncertainty of parameters such as processing times and due date is coded with grey numbers. Design/methodology/approach Grey theory and grey numbers are used for illustrating the uncertainty of parameters in processing times and common due date, where the objective is to minimize the total earliness/tardiness duration. The paper proposes a 0-1 mathematical model for the problem and an effective heuristic method for the problem by using expected processing times for ordering jobs. Findings The uncertainty of the processing times and common due date are encoded with grey numbers and a position-dependent mixed-integer mathematical programming model is proposed for the problem in order to minimize total grey earliness/tardiness duration of jobs having grey processing times and a common due date. By using expected processing times for ranking grey processing times,V-shaped property of the problem and an efficient heuristic method for the problem are proposed. Solutions obtained from the heuristic method show that the heuristic is effective. The experimental study also reveals that while differences between upper and lower bounds of grey processing times decrease, the proposed heuristic's performance decreases. Originality/value The grey theory and grey numbers have been rarely used as machine scheduling problems. Therefore, this study provides an important contribution to the literature.

Automated summary

This paper presents a mixed-integer programming model for a single machine earliness/tardiness scheduling problem aiming to minimize total earliness/tardiness duration. The uncertainty of parameters such as processing times and due date is coded with grey numbers, and an effective heuristic method is proposed using expected processing times. The research contributes to the literature by utilizing grey theory and numbers in machine scheduling problems.