애스크로AIPublic Preview
← 학술논문 검색
학술논문경영과학2020.09 발행KCI 피인용 1

시간 제약과 순서 의존 준비시간이 있는 흐름 공정에서의총 납기지연 최소화

Total Tardiness Minimization in a Two-Machine Flowshopwith a Limited Waiting Time Constraint and Sequence-Dependent Setup Times

정봉주(한남대학교); 이주용(강원대학교)

37권 3호, 99~111쪽

초록

This study considers a two-machine flowshop scheduling problem for the objective of minimizing total tardiness. In the flowshop, jobs have to be started on the second machine within the limited waiting time after those jobs are completed on the first machine, which is called a limited waiting time constraint, and jobs require sequence-dependent setup times before processing on the second machine. This scheduling problem is modeled in a mathematical programming formulation and the optimal solutions are obtained by CPLEX 12.9. However, solving this problem to optimality by using CPLEX needs a significantly long computation time since this problem is known to be NP-complete, hence heuristic algorithms are proposed to solve the problem within a short computation time. Computational experiments on randomly generated problem instances are done to evaluate the performance of the proposed algorithms and the results are reported.

Abstract

This study considers a two-machine flowshop scheduling problem for the objective of minimizing total tardiness. In the flowshop, jobs have to be started on the second machine within the limited waiting time after those jobs are completed on the first machine, which is called a limited waiting time constraint, and jobs require sequence-dependent setup times before processing on the second machine. This scheduling problem is modeled in a mathematical programming formulation and the optimal solutions are obtained by CPLEX 12.9. However, solving this problem to optimality by using CPLEX needs a significantly long computation time since this problem is known to be NP-complete, hence heuristic algorithms are proposed to solve the problem within a short computation time. Computational experiments on randomly generated problem instances are done to evaluate the performance of the proposed algorithms and the results are reported.

발행기관:
한국경영과학회
DOI:
http://dx.doi.org/10.7737/KMSR.2020.37.3.099
분류:
경영학

AI 법률 상담

이 논문의 주제에 대해 더 알고 싶으신가요?

460만+ 법률 자료에서 관련 판례·법령·해석례를 찾아 답변합니다

AI 상담 시작
시간 제약과 순서 의존 준비시간이 있는 흐름 공정에서의총 납기지연 최소화 | 경영과학 2020 | AskLaw | 애스크로 AI