A fuzzy approach for sequencing interrelated activities in a DSM

被引:22
作者
Lin, Jun [2 ]
Qian, Yanjun [1 ]
Yassine, Ali A. [3 ]
Cui, Wentian [2 ]
机构
[1] Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian 710049, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China
[3] Amer Univ Beirut, Fac Engn & Architecture, Beirut 11072020, Lebanon
基金
中国国家自然科学基金;
关键词
scheduling; iteration; design structure matrix; fuzzy set theory; heuristic; DESIGN STRUCTURE MATRIX; PROJECT-SCHEDULING PROBLEM; PRODUCT DEVELOPMENT; SEQUENTIAL ITERATION; ENGINEERING DESIGN; DECOMPOSITION; TASKS; MODEL; INFORMATION; ALGORITHM;
D O I
10.1080/00207543.2011.648779
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Production and manufacturing systems often involve a myriad of interrelated activities. How these activities are organised and scheduled has a significant effect on the success of a system. Recently, the Design Structure Matrix (DSM) has been regarded as an effective tool for modelling and scheduling interrelated activities. Based on fuzzy set theory, this study explicitly addresses the uncertain activity dependencies in our formulation and develops a mathematical model for sequencing interrelated activities in a DSM. Because of the complexity of the model, a new approach, which embeds an exact algorithm within a framework of a local search heuristic, is presented for solving large problem instances. Testing results demonstrate that relatively good solutions can be easily obtained by our approach, thereby providing managers with an effective tool for scheduling a large number of interrelated activities with uncertain dependencies.
引用
收藏
页码:7012 / 7025
页数:14
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