Multi-site planning and scheduling: state-of-the-art review and future research directions

被引:6
作者
Badhotiya, Gaurav Kumar [1 ]
Soni, Gunjan [1 ]
Mittal, M. L. [1 ]
机构
[1] Malaviya Natl Inst Technol, Dept Mech Engn, Jaipur, Rajasthan, India
关键词
Multi-site; Planning; Review; Scheduling; Integrated planning and scheduling; ENTERPRISE-WIDE OPTIMIZATION; INTEGRATED PRODUCTION; SUPPLY CHAIN; DECOMPOSITION SCHEME; DISTRIBUTION PLANS; CONTINUOUS-TIME; MULTIPLANT; MODEL; AGGREGATE; TRANSPORTATION;
D O I
10.1108/JGOSS-02-2019-0014
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose This paper aims to deal with integrated planning and scheduling problem in multi-site manufacturing environment and provides a comprehensive review of literature. Classification schemes and various aspects of planning and scheduling problem in multi-site manufacturing are highlighted. Design/methodology/approach A structured review methodology is adopted to classify the relevant literature. Taxonomy for classification of the problem is presented, followed by review of modelling approaches, solution strategies and challenges faced in multi-site integrated planning and scheduling problem. Findings The paper is concluded with interesting research findings and a short view on directions related to modelling approach, solution strategy and technique for further developments in the area of multi-site integrated planning and scheduling. Originality/value This study attempts to consolidate the diverse literature available and highlight the various aspects of planning and scheduling in multi-site manufacturing.
引用
收藏
页码:17 / 37
页数:21
相关论文
共 91 条
[21]   Two heuristics for coordinating production planning and transportation planning [J].
Feng, Pingping ;
Liu, Ya ;
Wu, Feng ;
Chu, Chengbin .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (21) :6872-6889
[22]   Continuous-time versus discrete-time approaches for scheduling of chemical processes: a review [J].
Floudas, CA ;
Lin, XX .
COMPUTERS & CHEMICAL ENGINEERING, 2004, 28 (11) :2109-2129
[23]  
Garcia J, 2002, ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, P1153
[24]   Coordinated scheduling of production and delivery from multiple plants [J].
Garcia, JM ;
Lozano, S ;
Canca, D .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2004, 20 (03) :191-198
[25]   Production planning of a multi-site manufacturing system by hybrid modelling: A case study from the automotive industry [J].
Gnoni, MG ;
Iavagnilio, R ;
Mossa, G ;
Mummolo, G ;
Di Leva, A .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2003, 85 (02) :251-262
[26]   Enterprise-wide optimization: A new frontier in process systems engineering [J].
Grossmann, I .
AICHE JOURNAL, 2005, 51 (07) :1846-1857
[27]  
Grossmann IE, 2009, SPRINGER SER OPTIM A, V30, P3, DOI 10.1007/978-0-387-88617-6_1
[28]   Multi-site planning: A transshipment problem [J].
Guinet, A .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2001, 74 (1-3) :21-32
[29]   Multi-site scheduling under production and transportation constraints [J].
H'Mida, Fehmi ;
Lopez, Pierre .
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2013, 26 (03) :252-266
[30]   Temporal decomposition scheme for nonlinear multisite production planning and distribution models [J].
Jackson, JR ;
Grossmann, IE .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2003, 42 (13) :3045-3055