A system dynamics approach to unlock the complexity of the S&OP in virtual enterprises

被引:8
作者
de Assis, Rodrigo Furlan [1 ,2 ]
de Santa-Eulalia, Luis Antonio [3 ]
Armellini, Fabiano [4 ]
Anholon, Rosley [5 ]
Rampasso, Izabela Simon [6 ]
Guerrini, Fabio Muller [2 ]
Godinho Filho, Moacir [2 ,7 ]
Ferreira, William de Paula [1 ]
机构
[1] Ecole Technol Super, Dept Syst Engn, 1100 Notre Dame St, Montreal, PQ H3C 1K3, Canada
[2] Univ Sao Paulo, Dept Ind Engn, Sao Carlos, Brazil
[3] Univ Sherbrooke, Business Sch, Sherbrooke, PQ, Canada
[4] Polytech Montreal, Dept Math & Ind Engn, Montreal, PQ, Canada
[5] Univ Estadual Campinas, Sch Mech Engn, Campinas, Brazil
[6] Univ Catolica Norte, Dept Ind Engn, Antofagasta, Chile
[7] EM Normandie Business Sch, Metis Lab, Le Havre, France
关键词
Virtual enterprises; Collaborative networks; Aggregate production planning; Sales & Operations Planning; System dynamics; Simulation modelling; COLLABORATIVE NETWORKS; FRAMEWORK; MODEL; METHODOLOGY; ENVIRONMENT; BUSINESS; INDUSTRY;
D O I
10.1080/17517575.2023.2203430
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Virtual Enterprise (VE) enables organisations to compete by strengthening their core competencies and sharing risks through collaboration. However, for manufacturing-based VE, the literature fails to provide adequate simulation-based methods for understanding the complex behaviour of the production planning step at the tactical level, known as Aggregate Production Planning or Sales & Operations Planning (S&OP). In this context, this paper proposes a novel System Dynamics-based model to help to understand the dynamic behaviour of S&OP in VE. Results suggest the efficiency of the proposed model, including its ability to straightforwardly make simulation-based S&OP scenarios comparisons, thus expanding the analytic decision-making capacity of managers desiring to push the limits of traditional S&OP in VE.
引用
收藏
页数:31
相关论文
共 63 条
[41]  
Pego-Guerra MA, 2010, PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, DETC 2010, VOL 6, P299
[42]  
Peres Goulart C., 2000, ENCONTRO NACL ENGENH, P1
[43]   Influence of the socio-economic environment on the entrepreneurs behavior. Cases of cuba and ecuador [J].
Perez-Campdesuner, Reyner ;
Garcia-Vidal, Gelmar ;
Sanchez-Rodriguez, Alexander ;
Martinez-Vivar, Rodobaldo ;
de Miguel-Guzman, Margarita ;
Guilarte-Barinaga, Elizabeth .
INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT, 2021, 13
[44]  
Pires S.R. I., 2001, International Journal of Logistics, V4, P297
[45]   Service Composition in the Cloud-Based Manufacturing Focused on the Industry 4.0 [J].
Pisching, Marcos A. ;
Junqueira, Fabricio ;
Santos Filho, Diolino J. ;
Miyagi, Paulo E. .
TECHNOLOGICAL INNOVATION FOR CLOUD-BASED ENGINEERING SYSTEMS, 2015, 450 :65-72
[46]  
Romero D., 2009, IFAC P VOLUMES, V420, p0 630
[47]   Supply system dynamics: Distributed control in supply chains and networks [J].
Schwaninger, M ;
Vrhovec, P .
CYBERNETICS AND SYSTEMS, 2006, 37 (05) :375-415
[48]  
Gasparotto AMS, 2013, IFIP ADV INF COMM TE, V408, P137
[49]  
Rojas EPS, 2012, IFIP ADV INF COMM TE, V380, P624
[50]   System Dynamics Archetypes in Capacity Planning [J].
Spicar, Radim .
24TH DAAAM INTERNATIONAL SYMPOSIUM ON INTELLIGENT MANUFACTURING AND AUTOMATION, 2013, 2014, 69 :1350-1355